{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Анализ данных в задаче Сбербанк (sdsj)\n",
    "\n",
    "примеры визуализации\n",
    "\n",
    "*Александр Дьяконов (2016)*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Populating the interactive namespace from numpy and matplotlib\n"
     ]
    }
   ],
   "source": [
    "# подгружаем все нужные пакеты\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "\n",
    "\n",
    "# для встроенных картинок\n",
    "%pylab inline\n",
    "# чуть покрасивше картинки:\n",
    "pd.set_option('display.mpl_style', 'default')\n",
    "figsize(12, 9)\n",
    "\n",
    "import warnings\n",
    "warnings.filterwarnings(\"ignore\")\n",
    "\n",
    "#plt.rcParams['figure.figsize'] = 10, 7.5\n",
    "#plt.rcParams['axes.grid'] = True\n",
    "pd.set_option('display.max_columns', None)\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "import matplotlib as mpl\n",
    "mpl.rcParams['font.family'] = 'Ubuntu'\n",
    "\n",
    "plt.rc('text', usetex=False)\n",
    "plt.rc('font', family='serif')\n",
    "plt.rc('font', weight='bold')\n",
    "plt.rc('xtick', labelsize=14) \n",
    "plt.rc('ytick', labelsize=14)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# чтобы был русский шрифт\n",
    "from matplotlib import rc\n",
    " \n",
    "font = {'family': 'Verdana',\n",
    "        'weight': 'normal'}\n",
    "rc('font', **font)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": false
   },
   "source": [
    "## Загрузка данных"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(6849346, 6)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>customer_id</th>\n",
       "      <th>tr_datetime</th>\n",
       "      <th>mcc_code</th>\n",
       "      <th>tr_type</th>\n",
       "      <th>amount</th>\n",
       "      <th>term_id</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>39026145</td>\n",
       "      <td>0 10:23:26</td>\n",
       "      <td>4814</td>\n",
       "      <td>1030</td>\n",
       "      <td>-2245.92</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>39026145</td>\n",
       "      <td>1 10:19:29</td>\n",
       "      <td>6011</td>\n",
       "      <td>7010</td>\n",
       "      <td>56147.89</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>39026145</td>\n",
       "      <td>1 10:20:56</td>\n",
       "      <td>4829</td>\n",
       "      <td>2330</td>\n",
       "      <td>-56147.89</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>39026145</td>\n",
       "      <td>1 10:39:54</td>\n",
       "      <td>5499</td>\n",
       "      <td>1010</td>\n",
       "      <td>-1392.47</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>39026145</td>\n",
       "      <td>2 15:33:42</td>\n",
       "      <td>5499</td>\n",
       "      <td>1010</td>\n",
       "      <td>-920.83</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   customer_id tr_datetime  mcc_code  tr_type    amount term_id\n",
       "0     39026145  0 10:23:26      4814     1030  -2245.92     NaN\n",
       "1     39026145  1 10:19:29      6011     7010  56147.89     NaN\n",
       "2     39026145  1 10:20:56      4829     2330 -56147.89     NaN\n",
       "3     39026145  1 10:39:54      5499     1010  -1392.47     NaN\n",
       "4     39026145  2 15:33:42      5499     1010   -920.83     NaN"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "transactions = pd.read_csv('transactions.csv') # d:\\\\Competitions\\\\sdsj\\\\\n",
    "print (transactions.shape)\n",
    "transactions[:5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(184, 2) 184\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>mcc_code</th>\n",
       "      <th>mcc_description</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>742</td>\n",
       "      <td>Ветеринарные услуги</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1711</td>\n",
       "      <td>Генеральные подрядчики по вентиляции, теплосна...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1731</td>\n",
       "      <td>Подрядчики по электричеству</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1799</td>\n",
       "      <td>Подрядчики, специализированная торговля — нигд...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2741</td>\n",
       "      <td>Разнообразные издательства/печатное дело</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   mcc_code                                    mcc_description\n",
       "0       742                                Ветеринарные услуги\n",
       "1      1711  Генеральные подрядчики по вентиляции, теплосна...\n",
       "2      1731                        Подрядчики по электричеству\n",
       "3      1799  Подрядчики, специализированная торговля — нигд...\n",
       "4      2741           Разнообразные издательства/печатное дело"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tr_mcc_codes = pd.read_csv('tr_mcc_codes.csv', sep=';')\n",
    "print (tr_mcc_codes.shape, transactions.mcc_code.nunique())\n",
    "tr_mcc_codes[:5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(155, 2) 77\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>tr_type</th>\n",
       "      <th>tr_description</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>3200</td>\n",
       "      <td>Плата за предоставление услуг посредством моби...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>3210</td>\n",
       "      <td>Плата за предоставление отчета по счету карты ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3800</td>\n",
       "      <td>Плата за обслуживание банковской карты (за пер...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4000</td>\n",
       "      <td>Плата за получение наличных в Сбербанке</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4001</td>\n",
       "      <td>Плата за получение наличных в Сбербанке (в дру...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   tr_type                                     tr_description\n",
       "0     3200  Плата за предоставление услуг посредством моби...\n",
       "1     3210  Плата за предоставление отчета по счету карты ...\n",
       "2     3800  Плата за обслуживание банковской карты (за пер...\n",
       "3     4000            Плата за получение наличных в Сбербанке\n",
       "4     4001  Плата за получение наличных в Сбербанке (в дру..."
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tr_types = pd.read_csv('tr_types.csv', sep=';')\n",
    "print (tr_types.shape, transactions.tr_type.nunique())\n",
    "tr_types[:5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(12000, 2)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>customer_id</th>\n",
       "      <th>gender</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>75562265</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>10928546</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>69348468</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>84816985</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>61009479</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   customer_id  gender\n",
       "0     75562265       0\n",
       "1     10928546       1\n",
       "2     69348468       1\n",
       "3     84816985       1\n",
       "4     61009479       0"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "customers_gender_train = pd.read_csv('customers_gender_train.csv')\n",
    "print (customers_gender_train.shape)\n",
    "customers_gender_train[:5]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Формирование таблицы"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(6849346, 7)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>customer_id</th>\n",
       "      <th>tr_datetime</th>\n",
       "      <th>mcc_code</th>\n",
       "      <th>tr_type</th>\n",
       "      <th>amount</th>\n",
       "      <th>term_id</th>\n",
       "      <th>gender</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>39026145</td>\n",
       "      <td>0 10:23:26</td>\n",
       "      <td>4814</td>\n",
       "      <td>1030</td>\n",
       "      <td>-2245.92</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>39026145</td>\n",
       "      <td>1 10:19:29</td>\n",
       "      <td>6011</td>\n",
       "      <td>7010</td>\n",
       "      <td>56147.89</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>39026145</td>\n",
       "      <td>1 10:20:56</td>\n",
       "      <td>4829</td>\n",
       "      <td>2330</td>\n",
       "      <td>-56147.89</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>39026145</td>\n",
       "      <td>1 10:39:54</td>\n",
       "      <td>5499</td>\n",
       "      <td>1010</td>\n",
       "      <td>-1392.47</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>39026145</td>\n",
       "      <td>2 15:33:42</td>\n",
       "      <td>5499</td>\n",
       "      <td>1010</td>\n",
       "      <td>-920.83</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   customer_id tr_datetime  mcc_code  tr_type    amount term_id  gender\n",
       "0     39026145  0 10:23:26      4814     1030  -2245.92     NaN     1.0\n",
       "1     39026145  1 10:19:29      6011     7010  56147.89     NaN     1.0\n",
       "2     39026145  1 10:20:56      4829     2330 -56147.89     NaN     1.0\n",
       "3     39026145  1 10:39:54      5499     1010  -1392.47     NaN     1.0\n",
       "4     39026145  2 15:33:42      5499     1010   -920.83     NaN     1.0"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# присоедниение пола\n",
    "transactions = pd.merge(transactions, customers_gender_train, on='customer_id', how='outer')\n",
    "print (transactions.shape)\n",
    "transactions[:5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>customer_id</th>\n",
       "      <th>mcc_code</th>\n",
       "      <th>tr_type</th>\n",
       "      <th>amount</th>\n",
       "      <th>term_id</th>\n",
       "      <th>gender</th>\n",
       "      <th>num_day</th>\n",
       "      <th>datetime</th>\n",
       "      <th>hour</th>\n",
       "      <th>minute</th>\n",
       "      <th>second</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>39026145</td>\n",
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       "      <td>10:23:26</td>\n",
       "      <td>10</td>\n",
       "      <td>23</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>39026145</td>\n",
       "      <td>6011</td>\n",
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       "      <td>10</td>\n",
       "      <td>19</td>\n",
       "      <td>29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>39026145</td>\n",
       "      <td>4829</td>\n",
       "      <td>2330</td>\n",
       "      <td>-56147.89</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>10:20:56</td>\n",
       "      <td>10</td>\n",
       "      <td>20</td>\n",
       "      <td>56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>39026145</td>\n",
       "      <td>5499</td>\n",
       "      <td>1010</td>\n",
       "      <td>-1392.47</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>10:39:54</td>\n",
       "      <td>10</td>\n",
       "      <td>39</td>\n",
       "      <td>54</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>39026145</td>\n",
       "      <td>5499</td>\n",
       "      <td>1010</td>\n",
       "      <td>-920.83</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2</td>\n",
       "      <td>15:33:42</td>\n",
       "      <td>15</td>\n",
       "      <td>33</td>\n",
       "      <td>42</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   customer_id  mcc_code  tr_type    amount term_id  gender  num_day  \\\n",
       "0     39026145      4814     1030  -2245.92     NaN     1.0        0   \n",
       "1     39026145      6011     7010  56147.89     NaN     1.0        1   \n",
       "2     39026145      4829     2330 -56147.89     NaN     1.0        1   \n",
       "3     39026145      5499     1010  -1392.47     NaN     1.0        1   \n",
       "4     39026145      5499     1010   -920.83     NaN     1.0        2   \n",
       "\n",
       "   datetime  hour  minute  second  \n",
       "0  10:23:26    10      23      26  \n",
       "1  10:19:29    10      19      29  \n",
       "2  10:20:56    10      20      56  \n",
       "3  10:39:54    10      39      54  \n",
       "4  15:33:42    15      33      42  "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "transactions['num_day'] = transactions['tr_datetime'].apply(lambda x: int(x.split(' ')[0]))\n",
    "transactions['datetime'] = transactions['tr_datetime'].apply(lambda x: x.split(' ')[1])\n",
    "transactions['hour'] = transactions['datetime'].apply(lambda x: int(x.split(':')[0]))\n",
    "transactions['minute'] = transactions['datetime'].apply(lambda x: int(x.split(':')[1]))\n",
    "transactions['second'] = transactions['datetime'].apply(lambda x: int(x.split(':')[2]))\n",
    "del transactions['tr_datetime']\n",
    "transactions[:5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# день недели\n",
    "transactions['dayofweek'] = transactions['num_day'].apply(lambda x: (x + 4) % 7)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>customer_id</th>\n",
       "      <th>mcc_code</th>\n",
       "      <th>tr_type</th>\n",
       "      <th>amount</th>\n",
       "      <th>term_id</th>\n",
       "      <th>gender</th>\n",
       "      <th>num_day</th>\n",
       "      <th>datetime</th>\n",
       "      <th>hour</th>\n",
       "      <th>minute</th>\n",
       "      <th>second</th>\n",
       "      <th>dayofweek</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>39026145</td>\n",
       "      <td>4814</td>\n",
       "      <td>1030</td>\n",
       "      <td>-2245.92</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>10:23:26</td>\n",
       "      <td>10</td>\n",
       "      <td>23</td>\n",
       "      <td>26</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>39026145</td>\n",
       "      <td>6011</td>\n",
       "      <td>7010</td>\n",
       "      <td>56147.89</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>10:19:29</td>\n",
       "      <td>10</td>\n",
       "      <td>19</td>\n",
       "      <td>29</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>39026145</td>\n",
       "      <td>4829</td>\n",
       "      <td>2330</td>\n",
       "      <td>-56147.89</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>10:20:56</td>\n",
       "      <td>10</td>\n",
       "      <td>20</td>\n",
       "      <td>56</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>39026145</td>\n",
       "      <td>5499</td>\n",
       "      <td>1010</td>\n",
       "      <td>-1392.47</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>10:39:54</td>\n",
       "      <td>10</td>\n",
       "      <td>39</td>\n",
       "      <td>54</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>39026145</td>\n",
       "      <td>5499</td>\n",
       "      <td>1010</td>\n",
       "      <td>-920.83</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2</td>\n",
       "      <td>15:33:42</td>\n",
       "      <td>15</td>\n",
       "      <td>33</td>\n",
       "      <td>42</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   customer_id  mcc_code  tr_type    amount term_id  gender  num_day  \\\n",
       "0     39026145      4814     1030  -2245.92     NaN     1.0        0   \n",
       "1     39026145      6011     7010  56147.89     NaN     1.0        1   \n",
       "2     39026145      4829     2330 -56147.89     NaN     1.0        1   \n",
       "3     39026145      5499     1010  -1392.47     NaN     1.0        1   \n",
       "4     39026145      5499     1010   -920.83     NaN     1.0        2   \n",
       "\n",
       "   datetime  hour  minute  second  dayofweek  \n",
       "0  10:23:26    10      23      26          4  \n",
       "1  10:19:29    10      19      29          5  \n",
       "2  10:20:56    10      20      56          5  \n",
       "3  10:39:54    10      39      54          5  \n",
       "4  15:33:42    15      33      42          6  "
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "transactions[:5]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Визуализации"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "4    1100489\n",
       "3    1033376\n",
       "2    1028562\n",
       "1    1014304\n",
       "0     965424\n",
       "5     923670\n",
       "6     783521\n",
       "Name: dayofweek, dtype: int64"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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VFemf//znee0ngJ+OVgl5NTU1Kigo0NNPP62JEye6zCHZtGmT1q9fr0OHDsnhcCgiIkLD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\nRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xd379cbe0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "figsize(14, 5)\n",
    "p = transactions.dayofweek.hist(bins=7) # там есть 60!\n",
    "p.set_xlabel('dayofweek')\n",
    "p.set_ylabel('count')\n",
    "p.set_xlim([0, 6])\n",
    "p.set_xticklabels([u'пн', u'вт', u'ср', u'чт', u'птн', u'сб', u'вск'])\n",
    "p.set_title(u'Число транзакций в разные дни недели')\n",
    "transactions.dayofweek.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0xdfbcaef0>"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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AqFQqaUxGRgYiIiKQnJwMCwsL+Pv7Y9KkSbCxsZHGJCUlYdu2bdDpdLC1tUW/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\n2QAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xdf7e2b00>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "figsize(12,5)\n",
    "plt.hist(transactions.dayofweek.values, bins=7, color='#770000', label=u'все', alpha=0.3, width=0.8) # , histtype='stepfilled', normed=True,\n",
    "plt.hist(transactions[transactions.gender==0].dayofweek.values, bins=7, color='#007700', label=u'ж', alpha=0.6, width=0.7)\n",
    "plt.hist(transactions[transactions.gender==1].dayofweek.values, bins=7, color='#000077', label=u'м', alpha=1.0, width=0.6)\n",
    "plt.xticks(0.25+ 0.85*np.arange(7), [u'пн', u'вт', u'ср', u'чт', u'птн', u'сб', u'вск']) # , rotation='vertical'\n",
    "plt.title(u'Число транзакций в разные дни недели')\n",
    "plt.legend()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0     895545\n",
       "29    100111\n",
       "14     99811\n",
       "47     99775\n",
       "18     99760\n",
       "Name: second, dtype: int64"
      ]
     },
     "execution_count": 72,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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u3InPP/8csbGxuHTpEjw9PTF9+vQa22dOPhERERHRIyCEAFA2IG/Tpg2Ki4uR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\n/BMAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xe543d7f0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "figsize(12,5)\n",
    "# там есть 60!\n",
    "plt.hist(transactions.second.values, bins=61, color='#770000', label=u'все', alpha=0.3, width=0.8) # , histtype='stepfilled', normed=True,\n",
    "plt.hist(transactions[transactions.gender==0].second.values, bins=61, color='#007700', label=u'ж', alpha=0.6, width=0.7)\n",
    "plt.hist(transactions[transactions.gender==1].second.values, bins=61, color='#000077', label=u'м', alpha=1.0, width=0.6)\n",
    "plt.xlabel('second')\n",
    "plt.ylabel('count')\n",
    "plt.title(u'Вхождения секунд во времена транзакций')\n",
    "plt.legend()\n",
    "plt.xlim([0, 60.5])\n",
    "transactions.second.value_counts()[:5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0     323133\n",
      "23     42586\n",
      "16     42445\n",
      "51     42390\n",
      "33     42368\n",
      "Name: second, dtype: int64\n",
      "0     390156\n",
      "47     36365\n",
      "44     36331\n",
      "14     36282\n",
      "18     36281\n",
      "Name: second, dtype: int64\n"
     ]
    }
   ],
   "source": [
    "print (transactions[transactions.gender==0].second.value_counts()[:5])\n",
    "print (transactions[transactions.gender==1].second.value_counts()[:5]) # у мужчин это чаще!!!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0     896413\n",
       "13    102054\n",
       "12    102011\n",
       "16    101938\n",
       "25    101922\n",
       "Name: minute, dtype: int64"
      ]
     },
     "execution_count": 73,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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Tv/76K99//z3nz59Xc/CvZDAYWLx4MadPn1a/cnJybsrDvmSQL5o9yVXUJomb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\nKDt3tXfvXo4cOcLvf/97vLyuLRFcLhc3vqWO8nM/wcHBBAcHW9vR0dG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      "text/plain": [
       "<matplotlib.figure.Figure at 0xe49d99e8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "figsize(12,5)\n",
    "# там есть 60!\n",
    "plt.hist(transactions.minute.values, bins=60, color='#770000', label=u'все', alpha=0.3, width=0.8) # , histtype='stepfilled', normed=True,\n",
    "plt.hist(transactions[transactions.gender==0].minute.values, bins=60, color='#007700', label=u'ж', alpha=0.6, width=0.7)\n",
    "plt.hist(transactions[transactions.gender==1].minute.values, bins=60, color='#000077', label=u'м', alpha=1.0, width=0.6)\n",
    "plt.xlabel('minute')\n",
    "plt.ylabel('count')\n",
    "plt.title(u'Вхождения минут во времена транзакций')\n",
    "plt.legend()\n",
    "plt.xlim([0, 60.5])\n",
    "transactions.minute.value_counts()[:5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>gender</th>\n",
       "      <th>0.0</th>\n",
       "      <th>1.0</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>new</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>False</th>\n",
       "      <td>2563868</td>\n",
       "      <td>2193579</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>True</th>\n",
       "      <td>281466</td>\n",
       "      <td>354424</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "gender        0        1\n",
       "new                     \n",
       "False   2563868  2193579\n",
       "True     281466   354424"
      ]
     },
     "execution_count": 89,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "transactions['new'] = (transactions.minute==0) & (transactions.second==0) & (transactions.hour==0)\n",
    "pd.crosstab(transactions.new, transactions.gender)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
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       "    <tr style=\"text-align: right;\">\n",
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       "      <th>customer_id</th>\n",
       "      <th>mcc_code</th>\n",
       "      <th>tr_type</th>\n",
       "      <th>amount</th>\n",
       "      <th>term_id</th>\n",
       "      <th>gender</th>\n",
       "      <th>num_day</th>\n",
       "      <th>datetime</th>\n",
       "      <th>hour</th>\n",
       "      <th>minute</th>\n",
       "      <th>second</th>\n",
       "      <th>dayofweek</th>\n",
       "      <th>new</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2929955</th>\n",
       "      <td>64756863</td>\n",
       "      <td>5964</td>\n",
       "      <td>1200</td>\n",
       "      <td>-16219.33</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>18</td>\n",
       "      <td>00:00:00</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3398608</th>\n",
       "      <td>79492634</td>\n",
       "      <td>5441</td>\n",
       "      <td>1110</td>\n",
       "      <td>-17095.91</td>\n",
       "      <td>25006972</td>\n",
       "      <td>0</td>\n",
       "      <td>264</td>\n",
       "      <td>00:00:00</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3796662</th>\n",
       "      <td>63823503</td>\n",
       "      <td>7832</td>\n",
       "      <td>1110</td>\n",
       "      <td>-7636.11</td>\n",
       "      <td>21479734</td>\n",
       "      <td>NaN</td>\n",
       "      <td>320</td>\n",
       "      <td>00:00:00</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4285633</th>\n",
       "      <td>49495176</td>\n",
       "      <td>7311</td>\n",
       "      <td>1100</td>\n",
       "      <td>-2245.92</td>\n",
       "      <td>808276</td>\n",
       "      <td>1</td>\n",
       "      <td>433</td>\n",
       "      <td>00:00:00</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4752562</th>\n",
       "      <td>11341232</td>\n",
       "      <td>5533</td>\n",
       "      <td>1110</td>\n",
       "      <td>-4491.83</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>134</td>\n",
       "      <td>00:00:00</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5182846</th>\n",
       "      <td>63801566</td>\n",
       "      <td>5411</td>\n",
       "      <td>1110</td>\n",
       "      <td>-16597.32</td>\n",
       "      <td>23697538</td>\n",
       "      <td>0</td>\n",
       "      <td>443</td>\n",
       "      <td>00:00:00</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5604376</th>\n",
       "      <td>70192661</td>\n",
       "      <td>6051</td>\n",
       "      <td>1100</td>\n",
       "      <td>-8961.20</td>\n",
       "      <td>03170966</td>\n",
       "      <td>1</td>\n",
       "      <td>345</td>\n",
       "      <td>00:00:00</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6025278</th>\n",
       "      <td>6916077</td>\n",
       "      <td>5045</td>\n",
       "      <td>1110</td>\n",
       "      <td>-55923.30</td>\n",
       "      <td>00723019</td>\n",
       "      <td>1</td>\n",
       "      <td>385</td>\n",
       "      <td>00:00:00</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6457435</th>\n",
       "      <td>91437038</td>\n",
       "      <td>5735</td>\n",
       "      <td>1200</td>\n",
       "      <td>-2358.21</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>90</td>\n",
       "      <td>00:00:00</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         customer_id  mcc_code  tr_type    amount   term_id  gender  num_day  \\\n",
       "28          39026145      5331     1110  -6288.56       NaN       1       15   \n",
       "351586       1521146      4814     1100  -2245.92  22866601       1      448   \n",
       "864613      99289665      7995     1100  -8085.30  77062921     NaN      321   \n",
       "1237730     60105418      4814     1100 -10541.21    808444     NaN      262   \n",
       "1633848     95088517      5411     1110  -8792.76    549433       0      285   \n",
       "2043057     15042508      5812     1110  -3627.15  60002172       1      259   \n",
       "2469154     51301561      5814     1110  -8197.59  26021804       0      235   \n",
       "2929955     64756863      5964     1200 -16219.33       NaN       1       18   \n",
       "3398608     79492634      5441     1110 -17095.91  25006972       0      264   \n",
       "3796662     63823503      7832     1110  -7636.11  21479734     NaN      320   \n",
       "4285633     49495176      7311     1100  -2245.92    808276       1      433   \n",
       "4752562     11341232      5533     1110  -4491.83       NaN       1      134   \n",
       "5182846     63801566      5411     1110 -16597.32  23697538       0      443   \n",
       "5604376     70192661      6051     1100  -8961.20  03170966       1      345   \n",
       "6025278      6916077      5045     1110 -55923.30  00723019       1      385   \n",
       "6457435     91437038      5735     1200  -2358.21       NaN       1       90   \n",
       "\n",
       "         datetime  hour  minute  second  dayofweek   new  \n",
       "28       00:00:00     0       0       0          5  True  \n",
       "351586   00:00:00     0       0       0          4  True  \n",
       "864613   00:00:00     0       0       0          3  True  \n",
       "1237730  00:00:00     0       0       0          0  True  \n",
       "1633848  00:00:00     0       0       0          2  True  \n",
       "2043057  00:00:00     0       0       0          4  True  \n",
       "2469154  00:00:00     0       0       0          1  True  \n",
       "2929955  00:00:00     0       0       0          1  True  \n",
       "3398608  00:00:00     0       0       0          2  True  \n",
       "3796662  00:00:00     0       0       0          2  True  \n",
       "4285633  00:00:00     0       0       0          3  True  \n",
       "4752562  00:00:00     0       0       0          5  True  \n",
       "5182846  00:00:00     0       0       0          6  True  \n",
       "5604376  00:00:00     0       0       0          6  True  \n",
       "6025278  00:00:00     0       0       0          4  True  \n",
       "6457435  00:00:00     0       0       0          3  True  "
      ]
     },
     "execution_count": 99,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# что это за нулевое время...\n",
    "transactions[transactions.new==True][::50000]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# transactions[transactions.new==True]['tr_type'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0     842343\n",
       "13    449586\n",
       "12    443782\n",
       "15    432270\n",
       "14    430720\n",
       "Name: hour, dtype: int64"
      ]
     },
     "execution_count": 78,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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85OTkoFOnTvjDH/7QZmORifqPGfSr7NmzB6o2qo9qiFfsiYiI6F6Wn58PtVpt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\niIiIZICBPRERERGRDPw/gnrz+zSGksQAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xe55466a0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "figsize(12,5)\n",
    "# там есть 60!\n",
    "plt.hist(transactions.hour.values, bins=24, color='#770000', label=u'все', alpha=0.3, width=0.8) # , histtype='stepfilled', normed=True,\n",
    "plt.hist(transactions[transactions.gender==0].hour.values, bins=24, color='#007700', label=u'ж', alpha=0.6, width=0.7)\n",
    "plt.hist(transactions[transactions.gender==1].hour.values, bins=24, color='#000077', label=u'м', alpha=1.0, width=0.6)\n",
    "plt.xlabel('hour')\n",
    "plt.ylabel('count')\n",
    "plt.title(u'Вхождения часов во времена транзакций')\n",
    "plt.legend()\n",
    "plt.xlim([0, 24])\n",
    "transactions.hour.value_counts()[:5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "457"
      ]
     },
     "execution_count": 79,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# число дней\n",
    "transactions.num_day.nunique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "314    20552\n",
       "272    20368\n",
       "441    20203\n",
       "448    20178\n",
       "425    19979\n",
       "Name: num_day, dtype: int64"
      ]
     },
     "execution_count": 87,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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34p133gEA5Obm4pJLLkFVVZWmdWJPO5FG2KNFSmA7IqWwLZFSQrEtzZgxA5df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\nmyFYrYGuRlCx1NXBWFaGzr1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wTuHB9sfC1YIxQGB7T9W4sAjkyY7Cj5YXi1pR8jsUzovU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\nuP8PbQoLNPuzW8QAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xe36d2cc0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "figsize(12,5)\n",
    "# там есть 60!\n",
    "plt.hist(transactions.num_day.values, bins=457, color='#770000', label=u'все', alpha=0.3, width=0.9) # , histtype='stepfilled', normed=True,\n",
    "plt.hist(transactions[transactions.gender==0].num_day.values, bins=457, color='#007700', label=u'ж', alpha=0.6, width=0.7)\n",
    "plt.hist(transactions[transactions.gender==1].num_day.values, bins=457, color='#000077', label=u'м', alpha=1.0, width=0.5)\n",
    "plt.xlabel('day')\n",
    "plt.ylabel('count')\n",
    "plt.title(u'Вхождения дней во времена транзакций')\n",
    "plt.legend()\n",
    "plt.xlim([0, 457])\n",
    "# plt.xlim([153-10, 153+(120-1) + 4 + 10])\n",
    "transactions.num_day.value_counts()[:5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "304"
      ]
     },
     "execution_count": 88,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "457-153"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "tmp = transactions.groupby('customer_id')\n",
    "f1 = tmp.amount.count().values\n",
    "f2 = tmp.amount.mean().values\n",
    "g = tmp.gender.mean().values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0xdff5b5f8>"
      ]
     },
     "execution_count": 112,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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0zo3fkkx+DOnD5c0rMZy5kZ+i7wAQGtqH1asv8tJgS8ZNOKZRbSUychCjR6si\n2mvWPEdamlLj3unfGUoKtAdcb2WUUFZcTFFGBneioylMS8N5wgRpdlaAY76+vBwdjY2TU61qile8\nb0ND+xAWdp78/BKt9SpXjVFdE6/yvM8gSpVKaR0Ac51c2lnrMW7ceWn90NBz7Ns39KH17Ctuo6lW\neBEOXfNG2O/ZpEb5ypIlS+jUqRMuLi6EhYWxbt066d+TRi1RUcto1JiamjYr+cqzSF2kMQ+rN17X\nWuSV16/NUHlDy3gsTcs0tM4rg6yxNcrTGOqvyyQ0VQ2tpybfRnbiVza9l8h6z9MUzvsAZXp6lbKZ\nyvr79D/+IDchgZSoKFKiosi/coVbKZkcOKCQfnvtZomq3ffbGxDQg3ETz1L0bqAq2px4luzsYrZv\nvy5JI9Trbdt2RZJz3Lp6h9tZpRo6bd/ARE5t+ScnPF/C9N5tWszcotJlj7rAxSvFDB/eTpJr5OVp\nO2V5eSVMC73FrZRs2r3zDvm7fmJ1UGvmzOlFdHQqUVEpxJ0tYsaubuhMCedscDCnZs6km78/5i4u\nmIX9yO6iv/DDz7f4/XcFcXEZ2NgYSfaRyXR5zj6ba74juXv+PGXFxZh5jiQtNZdOPj48t24dd5Qy\nwtbepG1bY0JCeuPr2xWXrqZ4e3ciNLQPUVEpTJlyjA8/7IibmxXTpnVl7txebN9+XToOw97PMWvR\nFd59twNz557hw1GHKHx/Hgb/DGPLuFT+PuxBWcFr1/IJCenNjz8MYt68MyQk5FR5bu5euED7gFCS\nrt4jKiqFqKgUiorKmDmzO/v/1JYS7dx5U7LL1KlHOX/+rsa9c2rrdu7F7SF8UWfJxv7+3fhsXjId\nQ1ahZ2ws1XvXNzXV2v61X37hyvEkunQxIzr6ZaKjX66yk1z5vp09+zRvvmlf5X1SlaQlL68Ev8WZ\n5OqYadwDB369hOK09kRT2dnFUlWgqqiufntNVHW/VnzemLu40DPyX1q5JgKB4NmgRqfc3t6e+fPn\n4+LiwqxZszhwv5RVY6KrW2Oztaioz4qJiRHL9bh8+PBhEo8dk1421a2vjlx33baNZD29Wm9/w4YN\n9dreyly/fl1r/WQ9PUkznqynV6/7T715ExeDa2yUX2bz2FR6W99ln4cHBYF/Z2ekC99+2w09veSH\nbu/w4cNkxMWRFBFBUkQE1+8nXqenK9mz5waveh7C6xt7cto/x93tX1OcnU1Wnq6GY/P55ydJTs7l\n6q18KZmCQydwAAAgAElEQVQRwNTRUSp1V1ZcTEJRBzZ9k8rEiUek33p5H6Vr99ZsCzFHLndgwYKz\nJCTk4L/8LpYfTiT75818veU5xoxx5J//vMbXm12Jjn6ZiIgkDW1y1rU0stO0JyLTKSvFzHMkKdcL\nCQh8UGpv0uRj/PXFBwmE27df19BcL1nSj337VNdh6xeeR2ZpiUtwMCapZ1i8+Ly0nUWLVAl9U4OS\nMfF4D1mrVsgsLem28QeuF7SSkj9btzbg6NFM4k8l49pNj43yy6z3PK3Sw2dno2dkpFHGMLO/nCwb\nG2z++jI+Pp2ZMuUoK1YkYG9vzLjxcXzzTTJFRWVSoueiRec5deoOUVEpWJrrYG39QNuum5OJh4ed\nhl58su8prH1mUNTXg89mJ7B6tSvz5/fi55+vMXfuGVJvqTotlpYyrXOzOqg15aWl5OuYEhGRpJFv\ncO9eGUplCYsW9X2gAQ/vq5UEWxkTJ0fyr1+nbZtyNmx4jgULevPll0lkZxeTe+kS1376CaO2benx\n/fd0/uQTjc5uj6AgrlsN5sOpyfz3v7fw9NyPp+d+du9OIfnsWamc5OHDh0lNTZX2qR5peO8f7Rk8\n2Frj/khOzuX33xXMmNFdo5Og7uwoS2Ua90BIRC76rdtoHHdAQA/+/e8bnEhCK+HayMaGY8cStTr2\nx449KDZw7FiixrL6fq2oG0/ZvVvj+2Q9PYbu349x2C8MG52g4ew/6vNG/Vljvx/EsrDfs7xcV2rU\nlFckOzubLVu2kJ+fj7e3N7a2to+849rw/vvva2jKb968yfTp01m1ahV2dg+mYl6xYgUtWrRg6tSp\nVW6nqWrKnxYaWncZE1O/2ronIV95mB5bqVDwx/DhWLm50apvX86FhtZZT6pMT+fWr79yfvFiAHrN\nnct1uyHsO5ChpS9Wlx2sWELQ0lLGnDm9WLxYJa3YtL4vunE7KS0qpPvb7sR+8IFGGUNPT3uio1M1\ntrt5bCqmzk68P7dI4/N/r29LakkbJn6qks6sW/sc7n9VPSv+PHDrgcZ5SS9CFqlK+82b5cL0z1Xr\nr5lrw73CEvyWqJx1tewjK6tYVVZv9DXyu72Cb5BqVtC5c3sRH38XpbKUmJgMPDzseN4hD52Iz+i3\ndCnWgwdXWR5RfUz/iuiAcW4qJz77DLuQDXy6olBDHrN8eX9anfsPzi/1o6ywkCMTJyKzsMAheCXl\n5tZ4TU/UKC25O3oQN/7zH8ZFtCEtrZAJE5y1zl1FbXnFv7//wpKS4hJadbBBJ/kUtzu+zEfjj2pq\n8oNNmbqyGC8vZ/Ly7hERcUnj+7Fjneja1ZykpBwGuZRhbV5Cyd1srt01xi9M5egtWtSXhQvPcfly\nHi4u5nz+eXdmzTqFhYWML77oh4niPHe3LEHHbyOTfU8BMGNGdwwN9QgJUWnOVy92wdn6HkmXC5gW\nekuylZWVAWb3Msjyf1fS2Fe8pnOTk7n2yy8oO7ry3/jWlJaW8/PP1zTLKa61I3HKGGQWFnRetRUD\nSwvOHb5K8PpsfHw6S9fthvDeDHnVAdC8r4OCenD9egGurq2ZN+8M2dnFbNo0kE6dzKq8B9RlOE+c\nyMLe3oj5888ik+lKkyXBw/M1qiohWfHZUhvdeF209VVR+ZlT38/Np52mluMl7Ne8abCSiBMnTpT+\nBQYGkpSUxLlz5/j8888fqaGPg42NDcbGxsTHx0uflZeXc/HiRRwdHZ94ewR1Lz34KNT3g2nwYOuH\nDpU/LjVVUjCysaHf0qWkRkeTe+mS1vdVac611snLk6LZhWlp3EhMw2fisSolC46jRmE9eDA2NkZS\nxZUxYxylyHFxcRmXUu7h9Y09H0c5E59nJ0UI1ZKDyjKUFQGtSd+0jOSZk1izyEmjzGFG3FEmfvog\nuj15ylGOH78NwItD7NgZ6cK2EHNCFl0kISGHhIQcghcm8OMGJyL+kUg7Kx2NSYYqVo5Z7t+SjM0r\nKVsynh9DDIhcaMHq1RdZsyaRr766THZ2MW8NUGKSfAgDtzc4+fnnKBUK7J3asGHD8xrR0JiYDFYG\nWWNpWsaJzz6jMC0N5dljWtFpf/8T3MvL5/C4cZg4OdFz2w7053zHCN90/j7unFRuUk3ZvXuYder0\nUPuZmupL7VBHcR0cTCi27sx/L7Ri9LQUUtq44ah3nbUremm0O8eorSThsbIy1Np2+/bGBAWdQqks\nRWlgSc7Z09yNv4hfWLp0TEFBp1i0qC8uLuasWN6PWbNOkZZWSEJCDp98EoeelR0WPrOxMy/i+8iB\njBvnxMaNqmvVx6cTmzc9x9ywZCJ/U0mFKtrq2LFMDNpYI2v1YEQj/8YN6e8CEzvyXxzNpytV5Tn/\n8hftvIOMmBjKiosp8/oCz48SefWtIxgZt2D9IgeNEY+JvmdITb5NerqSvXvT8PS0p7i4jEWLVNF/\nc3N9/u//XuLfOwbTsa1utfdAQkIOvr7HcHY2Zf78sxqjOZUlcBW3UVFq9jhVZB6Xqp45wqGrPU1x\nMj9hv2eTGhM9p0yZ8iTaIVFeXk5BQYG0XFRURH5+PgYGBujr6+Pu7s6PP/6ItbU1FhYW7Nmzh6Ki\nIl588cUn2k5Bw9HQEYuGjJTXlBymRi3lKVUqMXVy4vz9EqM9AgKq1N5Wprq65du3X9dI+tu0aaDG\nlObqeuz5+SVERaUAMGJEe8k5gQfTqaunqt/0iuqzzZsvExk5CFtLOPfhW1I5Q9uk/7JRrqqwcTfs\na0rHaD8zdu68iW0rsDQpxXFAZ2StWpGdfUj6Pju7mLzDf5K2ZuH9T7po/H7UKEfef6sNd3b/m7vW\n1vQNC+NUYCCmf/s7Pj7DpchpaGgfMvXKmfqz6vcrAv4KurrExqYTGHgKudyBYcPa0rqVPv07tqPF\n2X3cy+kl7Sfruw28GvEOUVGa7S9VKpFZWHDyki77/iwiKurBRDnqTkNUVAobVvXiwri/02H2EgIC\nerB48XnOns0mPNxVqiYTFNSDS5dy+cc/OmBgoItMpouLizn+fl35aLzquvT378asuedZvqATRqf/\ni1zuRl5eCQsWqCK430W+wNatySQm5kj7AVWkOjFRFdnNyyvBd9oJQkLcaWtWCN9ozudw6FAGmze6\nQhWDpf/+o5ioqCwCAuyIiDhJaEgPunY1Jz7+Lk5Opuzem056eiGlpdq/NTDQY9fe2wwPWMjVudPo\n5u/P8alTeelf/+LYhRJppCQoqAdJSbmcOnWHZcv689lnJwBYHT4Ag/hM2oyaiPf9kpKWljKu5FqQ\nlqTt5BaW6JJ4/q50PQcG9mDz5suMfL8dnbpacmBPijRqs2F1b4YMddC6B9Q4djBizBhVgOe11+yq\njVKr7yOoXaKnWjdecUSxquTs2iS8Vqa2z5wnSVOLOj+Mpnj+BM8udZKvVOTChQuAqipLddVSHoX0\n9PQqZSiTJk1iyJAhlJSUEBkZycGDBykoKKBjx46MHTuWLl26VLE1FUK+0rBkxMVx8TeVg9X1tUFS\npY5H4WElEeuDxx0irolHKW+WERdXZaWTitsE7Rdc5YopiSWOeHvHYWEhY/Wq/thZ6WDv+MAhV0ft\n1PlrSUm5eHvHIZc7aEle1A4HIEUBAcx188hNTCTv0iVJOtMjKIjykhIuLFkiteV8QQcm3S9TOGNG\ndzIyCnF3vE3mikD6LV2qMYMnwPoV3XEqOM3p2bNVs02G/CA5Ups2DURfX4dx41QTiUVscOXFIXak\nx8aSuPcoM3Z1w83NCmNjPV580ZqpU49pHMv2X9wY73VEQ2KiPuYNq3piW34LPQMDsuMT0O/uiklL\nI9LzZHh/fBRQzdqpE/EZXdZ8w7DRCVVKebYFm2Kgc4+bK+ZTmJ6O7ZZ9TJ95gbfftqdfP0vmz78/\n4+ZQG4pvpfLJHJVGes1cG4yuHMV40CuMnJSkNXMngEcnBR+FFmoeU7g1KaX2BIec57PPulFWpnqM\nt2wp49SpLPr2tSQnp5ivvrrM6NGOrF2byIL5PZg67SSgcvo3b77MF1/0Y+bMkxqSkMpyIfXxjh3r\nhK2tkbSev383bt8uxNbWWOO37dsbM3v2ab75wpbc6O+4vn07Zp074/TFet744FyV8qkVK/qTkJBD\nt24tCQ5WJQmHL+rMvCUpJCTkSBKg997rQKdOZlJFm2XL+nP+fDZbtz4ou+niYs7a8H7cO7gTazc3\nho1O0JRX7RhMp66qWu0VO+gb1rmiL9N7rA57TR3+2jirNZVrrfz76p45x5OSGiXa+iTKSNYnTWEm\n66oQ8pXmzaPKV2p0yvfv3681gU95eTlffvkl3bp1o0+fPrzzzjt13vGTRDjlDUt9RZ6fxMulKm2x\nemr2+oruPMpLqTaOd1Xbqqo+eeGtm9z8bTelRYVSJ6mqqcRXruxPx46m6Og8cNBBZUNdyvDyPiot\nDx5sTXpsLGl790pTq/cOCSH30iWubNsGgOOYMTiOGoWZkxPKjAxOncnhj2OFODiYSDrk5f4t0d08\nEzsPD65s20bLER9h0LoNLbt1paSoGJkiibYeHpxXqKKxAG+9Zc/IkQer7Egp09M5dv4ePpNPMHas\nqlRq5brocrkDDg6mWo6mWsc9bpwT9vbGhIaek85Px47GdOvWkvJyVdk8ysvJwRx39z2YmOgzb14v\nZsxQObgrl/bG4cp/sOzdm7hPPsHMcyRBMc/h5eWMvb0xfn6aU83/uKUnLWT6lKdfx6wki3OZlhxJ\nMdXqGK1cOYDg4LOsGZtJlk1/SUO/bk1/2tvoMfXzCwwc2Jo+fSyZNUul+w4K6sH69UkEBHTnyy+T\nmDbNhYiIJBIScpg0qTOu/Vrxv70Kdu26xdy5PSkuLuPEiSx27rzJu+924I3XrPGZdEKjA6N2ymfP\n7snatYlSmcuYmAz8/FxYsSJB47O3327H8z1b0KedktgPPkBmYUGfsDDuFhtK9eKr0tnPnt2T0NBz\nGp9t/bIv4z45JXWi3nuvA717t5I6Ibq6Opw+fYeff75GcXHZ/Wo21pKOfMvaHoyfcl7renjlFVvp\nOaVQKLlxI5/ff1doOPcVr7O6lD+szbqPUk7xYcGPhg5m1Jam6uDWRFPsSAinvHnTYE75nDlzqnTK\nExMT+fHHH+u8w8ZAOOUNR31Gnp/EA12Zns6BXy9JEdoVAa0Z8noncpOS6vWh/LgRMfU26no+qjq+\nPkO68sobmk6t2tGqaCt1ewpv3eT1kRe0Oi4nPF/C3tOT1Pt1p2WWlvSaM0eKmFc+b2n793Pjtg5j\n5uZoJZ6ak8PFVauQWVpiMGeb1N4NK3vSWnmV94LyHtSZnta1yki+jY0R6bGxnPz8c1oOH4OO2zv8\nEZOJtbVmNDcs7Dwyma7k2FWOBFd2Bl1czPHzc6F7N3O692iFQqGkJD8fS7NyTiSWs3dvGocO3Wb0\naJXMITLyCuEzLVCsX4zz+PEkx8XzcZQzJib6rFnjyvjxhzXavmhRX86cucOrg02wMczD01vlUM6e\n3ZMlS1QjkIsW9SUiIonPfZ0wMdFlekC8KtL+qi3BIedIScknIKAHycm5WkmSatuqnfqZM7tjYqJP\nTs49bGwMuHPnHoaGeixbFs+gQW0YNMiKgoJ75OaWsH59klbUPCIiiUmTOnPzZgE2NppR8bZtVQ6r\nOnK9aFFfOrfOQbHoM55bu5bMPF2Ks+9w78heFL//juG0VeyJK8LAQE+r8xQS0pu5c89o2GHL2u4A\n5B3cS6ZFNy5mtaRlS5nUhqCgHrRs2QKZTA9dXR0OHcqQJhYKCzuPtbUhoXO7MsVP1SkMDe3DmTN3\niIvLZMOG5ykrK0dHBz788CBublZaHYXIyEGUlJRLozTVBR3q4mQ/ShCjuueWkfWD3zYFyUhzdcqh\n7uevqdepFzQuDZbouWDBAkJCQjT+LViw4JHKEgoED6Oh64MDGFlbM8BFVdpuo/wyA1xUpRnrO1m1\npnrqj1rnuDoUCiUKhZKsfF2Nmt9+izPJL6q+3nLFpFIbGyPMyeH6v/9T7frXt2+nm78/hra26Mpk\nmLm4MHTfPl6Ojsasc2dpPaVCwdFJk8g78qfWNuyHDcN6yBAMbW1pPWaKRnsnTj9HYYnms2XXrlsa\nSZpqra2kBU1PR9femf1/ZDJgQGsiIpKYPbsncrkDYWHnpaS99993YOfOl3FxMUMm05USJy9efDDH\ngaWlDB+fzsyde4Z3/xHDb7/d5KOPDvGPUcc5HV+EdctyRgy6h1zekdDQc4SGnkMu70jm4cOYODhw\nNjgYs7Js1ix04s037fHzO6GRIBsW1hcjI9U1tzs2n+tKSywsZGRlFbNuXSILF/blx8gBdGzbgkGD\n2jA75CIJySXcu1dGaWk5N1KVTJjgTHFxGYsXn6dfP8tqbRUXdxu53AFra0NiYzPYuPES+fll2Noa\nsmxZPO++24GoqBR8fY8hk+mxfr0qor5gwVnkcgd++edgBg8wZkuwBY7tW1BerqORZLl48XnaWpbT\nvbMxY8c6IZc7YFZ4ixsB3jiNHcuxi+W88cE53pmYiqLXP9CZEMaE6Yns2nWLV9yt2LK2By4u5tja\nGhLxpStDhlhLdh44sDXz5vVixKhTjBh1itumXbC4eZyXXzDVKm2ZkJBDYWEpvr7HiIpKkWb6HDGi\nPdnZxVhYmfD9UmvCw11Ztiyen366xvTp3YiJScfTcz/Dhu1n0qTO7NunIDS0j0YpxalTj/Pbbw8S\nWatK3qzLvVybZNCqapln5Wne1yERudzI1CE1+ba0Tl3ncGgInsQzvKGoy/mr7+e3QKBGeNaCx6K6\nSgSPijoBcui+fVLU9XFqflaF1cCBDPD5gAE+H6iGgB8traLWqB3misu1qdJQ2xdcxRdEmvb8L5hZ\naNqocuWRipTk55O/6yeW+7eU1o9Y1x97pzYM3LQJXZmMy5s3MygykqH792Pq6EhOQgL7PT3Z8/LL\nWpUL7m7/WnNbG1yx7WDB6cBAOvzjH1hVMTxbdO6YxuRKYcEuDBliw759Q9m3b6hGZFFmYYHB7G18\nFFrIN98kc+uWkqCgHqxdm4iDg6nkfK9e7cq0accZNmw/JcpCNo9NZavPbTp10Gf37jRmz+6pVZEj\nLa2Q6dOPM368Ex9/3Inxn5zk7feOkGfSTss5NXFyplXfvhRnZ5O4ejV5n7+NZ78CsrNVM4B6etrf\nl9EYk5ZWKE3cczX1HmuWdsfFxZwpU7oya9Yp3h99nNPxBWzbdoWEhBwiIpIICuop1SLPyytl/vxe\nWFjI6GxXolGLXG1bf/9uHDp0m+7dWzJ+/GF27brF5Mld8PU9xujRh/Dx6czmzZc1Ksx4eKjKzGZl\nqaqi5OSUUPRrJIaZV9CNDOb1+99bWsqYMMEZudyBsiIlpoW3GDnMmLdeNsKmrTn9li/njklHJn/2\noILNFL+z/Hlel+LiMry8nBnzURzjp5xnwfzuRPrm0t30FlZWRnTrZs6kSZ0JDu5NXNxtqZ6735JM\nfit049d9d7WuF3t7YwIDT0n7Wr5cNarw/POtWblyALNmn8XEyRlf32MkJKhGbQ4fzmDRIk3n/s03\n7bl8ORe53AFPT3vCws6rJhGqRMWObF0rrlRVWaniZ7ePHycpIoI/hg/XuJcqJnarO45v//0wr3oe\n4sBuzWRVNfX93KwtVT3DnyaeVJWdxrKfoHGp0SlXKBRa/9LuD00JBPCgEkFlh+lReRIRn4r7aMjo\nzuNGVGp6wVV+QUyderzKqHIX/Sts9bnNti0DSE9X4uFhh2m7thrD3wD6pqZ09vFBd/NMNsovsyPc\nGteeMo22vLRjB20GDCA3KYmkL7/kVGAgZp4jMfMcKZUgVJ9TXZkM3c0z2Rnpwr59Q3lxiB2Ulamc\n1zVrSPhYruGAL/dvye1vN6AT8Rk/zNbRmI20MkY2NnRZG6lRPlFVezuXZcFO9Cw8TOTXzyOXO6gi\n3+92oLi4DO9JpyjKvI3hnRRa3r3Maj9DnG/8ypYJCoa/qT33gpWVIUuWXJD28b892qMo+clXSLue\nQ7fNP6tmBe3cmZZWZnwV7oK1tSHR0akMHmwFqKLNxcVleHrak5KSh172DdbPaklKSp5U0m/x4vOM\nGNEeAA8PO6lkoboTkJycR3Bwb+61MCMiIglPT3tGj3akRw9zPDzs2Lz5MjNn9uDTT1VJr25uVsyY\ncVKjJKLaCVfz6qt2TJvWlWnTuhIU1IPpfidROj4PgNmwkfzxZzqrVrlqzIx6OlmHjwLTuZAqIzDs\nOjsPlZKi14nclh2Ryx2YMMFZo1zkiBHtNcpNTp12Ch3Xv1F85w7K9HSUN2/Srp0JH310iKioFAID\ne0i/z8srYdOmSwQFaXZCKo50qBk61JYVKxKYPv04cnlHCiv51gYGelq/6d27Ffn5JXToYEJ0dCoy\nmS4RG1x55UWLBxMqLe3KxcmjJYc5P78EudxB4xirmlFUTeXZfFcEtJY6xooDBzg0ejQpUVE4e3lJ\n9xJQbSnHimUhH4fqZgZ+VKp7htfXfuq7vQJBU6HGkoiffvrpk2iHoJnTkLq6iskuDaWbVDuc9bVt\npUJBVr6e5DDDg1KDdS19Vpf2ZGcX062buUa5NqVCweFx4zDzHMmk8Q+SDqOiDNm3r43Gvo2srTFz\nccHOwwPIwdIcjKwe1JFWt0UtHenw3nuU+yxjkqR1/atU3qW6c1q5PNwAFz327RtKwY0bJE4di65M\nRmcfH87OnUZxVhbmLi73kzn3SOdL3fkrt7AGLmicgyH99NE/vIMyVw/kHx2Rjnf58nhGjGhPdHQq\nLYyNuN37b0wNuqr6zr8nxWHjMdv9C+GrvsJ3mqo838qVA8jPL9XY/qFDt1m1cgDTph8HYNWKvhTn\n2jBxngK+SWZjxC+UFCh5c7xK9xy+sBMtW8mYFnSGt99uh4WFTGNyor/0c6GFmSlRUapqNeqSflZW\nBkyb1hVPz7ZapfsAYmLSMTXV19CAv/aaytF2c7Pi998fHjxxd7clKioFCwsZ4eEDKCtTSYWys4uZ\nMaM7LVu2IN+qKzqGnWndSp+ss2nEx2drTFa0aJFqFCA4+Jw0AZGuLnTsqIrsmprqExraBzOzFuTm\n3pPKNVYkeudN/vKcM70uXiTj3DWC1phr2GzMGEf69GnFyZNZjBjRnv/8J5Utm1w5EJOFgYEuu3en\naZSFXL3alQULzknJqosXn8fHp5PGOn91t9aoJBMQ0IOOHQw5c0aHjIxCIr8eiKV+LgV7v0Xx++/8\nMHsyAJlrfWk9cCCXY85yrUUXPp12guzsYubM6UVERBJeXs5MnXqcHTteqvKeNrK2pn+nJDbKLwPQ\n1cUaI2trlAoFRyZOlLTY8cuX4zR2rMZv1cGP3GxllddDZWqbJPikkhzrmrT+qNtpaB61dGVdEUme\nzyaPXBKxOSESPZ8OGvthXFvU7Wwl/5iPo5yrTYKtr0ShuLgMfvtNNaPia6/ZMXCg5mQsucnJ7Pf0\nxOIfXvj83EWrPZVnLISaX5C5yclc+fZb8lq0ZkJkh0dK9M1NTgbAzElVNUWZkUFxVhY6OjrcOXuW\nM3PmANAlfKtUtaPyPtLTlfz66y0N58qtUz5Jl3KrrGgilzvw4gBDDM/9jtc39lJ5vjFjHHmj+x3s\nWxZz6auvMPrHJMycnenarx1Xr+Zx4EC6tI/wcFfmzTujUXHEw8OOVatUs5NWlZgqlzuwatVFLC1l\nREQ8r1W2MSSkN0eOZLJ9+3VkMl2+/krVGZjsq5plMySkNwcPZgDQrZs5rVsbcuCAgiNHMpkV0JXf\n/1B1ioa6t+FuXjn+/iewsJAxb25Ppvup/p4/r5fUkZgxozt5efcY6m6F4kY2B+JU0V0nJ9XkOdbW\nqjZ9+un92VdX9KekpBwDAz18fTXb7ulpj6mpvnTMmzY9T15eqYZNrKwM0NPT4eLFHDp3NsPfX9Xp\nCQ3tQ1jYefLzS/h+QxeMzIwZPuqUxva/i3yBvPxSAmaeViW7/s2OlSsTcHAwwdhYDyMjfbp1M6es\nDA4ezKB1axnffHNFq7LLxYs5mJrq4+hoipP+daYsydew4fIFnfCaqurgrV/RHauz29E1MMCiWzey\nTp0ip8wMq4HPkXLXmKmBqomUKiYSz57dk7lzz0gzgVa8B9T3uu7VM5yYPh07Dw/aDhtGmwEDUCoU\nlOTns9/TUyNB8oUtW7B64QWNe0apUICuLkdOFTDR937t9QqzmlZFTbMLP4nETPUzqLr91PbZ3pQS\nSUWip+BhNFiiZ2w1s1sdOnSoys8FgvomJibmicwcWh9UbGfmtrUaQ9WVIyo2NkaP/EDPTU6WnNqS\nknJJo1xSotnHTo+N5ejkyfRfurTKoXP9WxernMmuquFnpUKBMj2d9NhY9nt6khIVRWtX14e2szpd\npHobB0eNIuX0FS6evsm1s9c4PG4cB955B31jY5zGjsXe05P0arahVCgoK1TSvr0xISG9GTfOCQMD\nXXIzc/BbnMm2bVc0kiw3bHge7zH2lK/1xbh9O0Clz50/XzV50H8vtCI+25Ks48e58vFwEj/8G0qF\ngo4dTXFxMUMud1BJFcxUIxLqmTg9POyk5M2ayMoq5ty5bK3PL1y4S3R0KoGBPbCwkGFmqs9kX5Vz\nmp5eSFqaUrJxy5YyZs8+zc8/X2O6bxdsr+1l5Kt6vNH9Dp8FnGXu3DPMnt0TPz8XHHWSWe95miUe\n8Txnn8XmNd0ZO9YJQ0NVYud//pvG1TQdadulpTBqVEc8POwk6UtaWiF+fidQKku4ePEua1b319Kw\nDxz4oB5+WVm5lube1LQFS5deoGtXc1JTC9iy5QXkcgeWLYvnk086Y2Eh41KGIb/F5GvIU8LC+mJo\npEfAzNN4eTkTFZXC+PGHGTfOmZiYDH766Rq2tka0aWNIUpKqc/nPf17X0NmvXDmA1NQCdu9Ow9ra\nCAfrMhQLpzPHy4jo6FSio1NZtLA3/nMuSW2e5HeBnDIzWrq4EL9iBWmd38DrG3u+/6MFUwMfrKce\nfR5IgFYAACAASURBVAG4dCkXmUxX6z6vKGE7nlBKYXo6F1et4tDo0dw+fpw97u4cHDUK19WrJQld\nN39/Tvj5aTzjpFknhwyhh+VtdkcPYnf0oGod8sOHD9f7TJWPIhtJj43lyrffPnSbTeXZXpfje5zn\nd20QmvJnkxqd8oiICLKyNLPHduzYwcaNGxusUc8KQhf3dFOclYVOxGfsjh5Ua719xWuicoKomlu7\nd7Pf05P9np5cPnyh2qQj9cvOolcvzi1ciLG9PToRn7He8zTrPU8ji1rAzUvpmHmOpKy4+KEvQ/XL\nPenLLzVeoFfnTSdincpJc3ExJzJyUK2OMc7bm7LiYvQmLWP/qXKGf3Cc4VNuUv7xMsqKiznh709p\nURGXv/qKrO82aHQmIja4onv1DH8MH87ZE+lMmXKUuXPP4OxsxjffJFNSXAKoHOCwsPPI5Q5ER7/M\nkCE26BoZ4xi6GoOsq6wN64SPTydKS5Gc0usFrWgzaiKgSiJNu5mHQqGktxO81vI4H75hiGn2ZdYv\n7aqhre7b15LAQFXCppOTqYZjuXBhX7p0MZfOUbduFlrJmdu2XZGcvBXL+9FC/0HnasSI9hpJidOm\nHcfNzUr1t99Jilp15FrIZ7Rqr7q+3N1tSEzM4fLlPApbtOTu9q+5E7URfRMT7DKO8orzbUJCzpKW\nVoi9vbGWA92zp4WGk62mdWsDvv8+hc52pexYY0tUhAvp6Urc3KxYuvQC4eGuTJvWlZs3ta9ZE4My\nXnrJmunTj5OYmMv48YdZteoiCQk5LF8eT3Bwb1asSKBnTwv09XUZO9aJkJDetGzZgpRrqhyIilp0\nP78H52Dx4vOUl5ehVJZiaqqPv383OlvmErmwFVu+eo7g4LNs3ZqMl5czERFJtDFXJVdWzHXo3sNC\nK6nTuH07zs6fj/1nIUwNUpVvzMsr0To2U1N9wsNdmTixs9Z9Xjnnw29xJi1HfCR9f3PnTgrT0shJ\nSCDr5Ekc5HLsPT05HxYGqNqp7gxXvO8OjR6NpUmpxmy9lbHU16/R2a1LPk11Dv7D3mPqe/3Ktm1S\n1abHydtpyPyf+u7ACASPQo1O+dChQ5k9ezZ79+6ltLSUL7/8kl27dhEcHPwk2vfUIh4AtcfNza3Z\nlNqq3M5+S5di79SmVhEV9TXxx/DhHNidUmWCaG5yMsd8faUX7a3//a9W7SrOzubM3Lk4e3mRG/09\nRTH/RW/6Bt6fW8Sk6D7IArcgs7Co8rcVI1kleXla23Xt0YL9+4cSFtaX0aMPabS5cj5AxZd3yxEf\ncTBZs8Sd35IHTktbDw+p9KKLwTU2j01lZ6QLrt30ODxuHAZub+AblCT9dvbs0ywI7oVDe0PJiZfJ\ndHnlFVucnMz488At3N33MGx0AtcsX6BjmyJeG9JSyyk16OmKuYsLsqCvGfbhBdzd93DsQgl27VuS\ndP4240LyuVNspPE7X99jKJWlzJjRne++u4pjuxbsiHJFLnfg9OksVq++iKenPVOmdGHatGMsWHAW\nT097QkJ6ExGRJJVtBGihU8JU//MsXarq7JiaPjz1R79jFwZt24bzwG4Ez+9JTEwGjo6qDop8Sgom\na/bS/ae95Omac33HDswsH1TyqCpJ0srKgKVLL2h0HJYu7c/SpfGEBvegvLSU/IJSDMxUpQutrAz4\n6CMnqSRhp07mzJ3b68GIzIzWFKzw5d23qr9fY2LSSUjI4ejRTFavvkibNgbMnXuGSZOOUlSkcuir\nw8JCRmbmPaljVVZWTrG+CTvPmjN+wlGp4oq6Kouxna2UsOw4oDM2NkZYW2tWKFru3xISj9Fu+HAy\nyx7cF9u3a0bhQ0P7UFZWzrx5Zygrq52UQd/UFENbW57fsIFbu3ZJn9/YsQObIUNIjY7G0Nqa3sHB\nqqpG7u7kxMdXe39WR/v27Wu1Xm2qpVQXza7te6w4K4vzYWE4yOW8HB2tsR8jGxtcw8OlZ6ZrePhD\nn+0NUd2lKUXr1QhN+bNJrTTl58+f55tvvqGoqAgdHR1mzZqFlZVVTT9rMjQ1TXlT0sU1N5rCBBm1\noa7trHhNWE3wY1J0nyo11JW1meYuLhgv/BmfySqNbuXJSDLi4ri0/ySW/ftxdd50AAasWUNRKwet\nmU13RrrgOKAzlanYtuomDKppEqmKmtEXtm6lvKSExL1H+Z2/aumvN8ov0+WV57AePPjBi1FHB8rL\nMbKxkdpj5jmy2vOkTE8nK08XfRMTbGyMuHI8SWu6dbncocpJbP651IJ7d+/yQWi5xufbQsz5dEUh\nH3/ciWvX8rXarZ605z//54ZhizLKiu9xPb2MzwLOSsmY6gmMKk6QEzKnK5/6qya3WbO8B3MWJOHm\nZkVMTAZublYYG+tpTC2/dGl/Fi48R3Z2sTS5z+Kw3nRxscDdfY/UjoptCw93JTOziPbWOhQt/YR7\nH85n+qJ0ldZ8Tjem+Z8GVJPxfPfdVQICutPq/9k787Cqqv2Nfw7DQeQwyIygKILgACKiRHpzTrtR\n92pWp3LCCWcQU9QUBaecEJwQiRzQorppGRam/RzC1JzBAQUEVERA5hkZfn8cz4bDAcFEs+J9Hp/H\nc87ea6+99mLt7/qud71vGzFq1eXEJz9i5cqr5OSUs3ZtT1RURCxaJHMQ9fHpxoMHJUIbyvn5I/7T\nFkllHtkp96mIj0WlVWt0XhtKTqkYP79Yxo2zEjZ9du6sw+LFV8jOLsfLyxZAqW09PKzp0kUXL68L\nSm2wZUtvZs48p3D8uHFWZGWV1WsG1KtX/dnlkowMLu/cTxtHR1L8vGV127yHj2YlKmzMDd3Rm7bm\nWoSHJ7FnT5JgQtXQXoq6ZkFONgh9uT4udUl6OhXFxRx/802Fd4RreDinx4xBrKdH5827aW1h8cRJ\nQObZsxTExTVo7vU0qO+dNSAy8ok8cTmassHz5IgRgjxqZnQ0rx048ELH+Gd9J/9V3ksteHH4o5zy\nRtVXqqqq6NKlC/Pnz2fmzJmEhISgra1NVVVVi4FQC14IatsN/9ludU2tw/Oqp7aVFc5BQZz39ATA\nwc8Ps4HmHDsmM5HRERUIkoQAtyo6Mnl3BuzOICT4W5y7qKJpbFwvLaa1hUWD91JbLUVuGCT/7UmI\njo6ml42NkIUCOOPuzpATJ+jY1o7/5otwdjbg449lk4qtG7pgGJ8kGBHVV768PpfmzSPAZ5Dgclib\ny6tpbIy5sYw+kHr7IQ9PnQIMFMpRV1chNDSBZcvshYB3y6c2mJiXkl5dDShrYv/nPxasXXud8vIq\nFi7sJgRqtTf8ZWY9YsJEWRC2ZbU1ASOSqEy6Ssi7oK6ZSr/V/Zn5eKOgh4cNGzbdZtcOJypP/YDo\naiq5ueaAjLf+2WcylQ47Ox0WL+5OQkIB167lMHy4GV276rJgwWWys8vxmHaeb7+WUYfq47efPp2J\nhoYqamoS2o/xpvW9E+yQiqmurKRdYT7hK9tyKFaboKCbeHrakpJSzPTp5wBZoJ6TU87o0R3Q1lZX\n2Oi5Zs01Fi/uDsj4+fI2iYhIYWOAE59HwPvvu6Gtrc5PB2Vum/7+DlRUVAkKIkEBPTE2lq1qODnp\n06qVqpK6iLOzATt3JhIW9grl5ZWEhycxc2ZnAIqLlSklnTpJCA1NUHhGwcF96NXLkPT0EgpyS9DS\nqMasQ60+UV3Nw92byAgtp93IkahJJJQ+zBS05keObIdEooZNZ12MjTUZPFimXiPfryBqwKNLrpoC\nypl04759GXL8OBWFhYIWuaaJCQ8vXFAqR8vCgiHHj3P+RiVvjjkPxDXoCCpXXKoqr7mX2uZeT4u6\nY4BLaChqEkmTzpXfY3ahCtW19NZrozw3l8TPPgNkAfGLRn3319Qx/HkJENR+77Xgn4NGM+Xvv/9+\ng7999dVXzV6h54GXLVMOfx0lkZcBL8Pg9CKel/waYj09Wvl9Kagr1PfivXtTprbSztZM6Xx5Haut\nnZ6YvX5au+/GJiUnjqQoKULIg/LaWSgDFxdU53/OtBkyZY9Fi7phZ9WK8hMHyAzbiIpYzJDjxwEU\nst1161CSng4iEfnV2oBywFP7/oJWdyarRAN/f1lG2senG+3atWbKlLPY2GizfmUXVMqLSfObSVFK\nCva+vqTouzDN66pwP92Nckh51JbR484KWeHJk60Z0N+YOd4yabwVK3qwfv0NQY7P1LQVB4KMueXp\nDkCPFStI+eorDLxW8r8jxQqZ1m1uV8jbv4tWy/bhty1XQeqwdtAvlVrSu7eBguyfqWkrvlxvzI18\nE8RiFbS11QXL+SlTrNmxIwE/Pwc8PWVtvnlFByrWe2DUrx+5sbHo+oYyZuIlJSUVedlSqSVdu+py\n/Xqe0m/vvdeejh21SUkpVPotPNyVjIwyBbWV+/eL2bYtXuG4b/Y58+0PmezZk0SbNmIWL+7OwoU1\n2XhtbTV0ddWZNes8lpZaeHt3Ee4leFtv7t4rFiZWPj7d6NpRxLipV9HTE7Mp0AkzIxX0JVVcvFUt\n9Akfn25YW6rTd0ANzePh779zPyqKtKgoOk2cyJ3//Q/1BZ/jMU12rZBgZ5nW/mOkp5dwN6VQkEas\nmwlvCur+3Wrb2HDyv/+l08SJ3NiwAYA+wcGY9O/f6IqUHM9rNbbuGNDUcbGxseZleR8+ywonNO+q\n98vw3mvBH8cfzZQ3GpRn1GPaIYex8bMbxbwIvIxBOShLwrXg5cSLpBvVfik0JLlV3wuuvjo6fPUT\nuw/kUVhYIUjtHYl0Vdgc1lyyXiXp6ZwePx6DMY/1nMO34rprl3Afcg1ygDYB+xk/4ZxS0DeI/yMn\nYgev7NwJwIW4SoUseGe1JM64y4Lbhl7c8vsRiWDAgKNKlIaSkgo6d9bh7t1i5At9jj3a4PmYFhG4\nohNaMT9R+PO3WIwYQYV5F3IuX6Ys+kdeO3CA7AI4eqpICJbXrXNiy5abuLoa4uJiyOXL2UpyfGHj\nUun634E8KiwkZvFiunh7k3j6mpJc5ja3K2R+FoCOnR3d9x2EykqK84opEOlw5MgDjh9PZ8ECWdba\n2kqDC5cKCQmJZ/hwM4b21ULt2glKe75JSkqREKCuXu3I3btFWFhosXbtdYUg/uAOS8pOH+a+zVss\nXZuCh4cNKSmFaGqqUlJSqdBv9vjroN66FVGxEhwd2+DnF6tAn5k+3QYtLXXB5Eh+DX9/B3x9YxS+\n277dhQULLinUZafHQ3KtBzFnXgx6emK2bXPm4MFUhTpIpZbs2ZPE1q29mTPngkKZX+x15WDkfQD+\n1a0KdYmE/ztbjKamKgNe1UWnLJ3C+JuMCdJW6nejP2zHo0oVRGVF3POZSFFKCo6rVhEfEoL9smXc\nxkqQHO3buRSHjtUyJ2Colxa1Q5pITsQOpT5a39+2jqiAowMG1EsLqZ3ltpk6VVjhakpQDi8u0G0s\nkH2aicSTynkZ0UJFbUFDeG70lb9K4P1Xw8uSGWhB8+FpA9z6XkK1/19fObXVHKDGkEinznFiPT0S\nk2pMRpYsscdC4yFXR7+N+rp1Qn9rNkkvkYgOUinXVswHoJuPD6iq8uuJtFpZxm+xthQTuie13iI6\njh5NL48PALgQ8iXetYLWyZPPEjYuFXM3NwAuzZunxDutPVkJDu6Dnp5YOB9g+DATYq/ms2KFLPu9\naFE3evc2ZMSIE8JxXosTkUqH0sfDFTJOUXn5JJmffSYsqevrqWLdTlXIHK9cKctWnz2bhalpCu7u\nVgQFOgnmQwE+BphpFKGqoYGurS2uu3ZRUVxM0dKlbJj7KXNliVCCgxwwvBxHmZ0djqtXoyOpJr9K\nh5yH1Xh5nyc3t5yAACcWLrws41GvsaF7/m8sXzaUJcuuA2a8PmAoYrGqoNQCsHDhZcLDXSkurlBS\nF8n49Vd0ujizdG0K/foZcft2Ae3ataZdOy3mPNYzX7LEnvYWrWhz/xfu6b7G7t0x7N4Nq1Y5YmQk\nc7EcPtyMbdviWe5lSOB6B7w+lq2W+Ph0IzZWWf7x+PEHbFzfA/dJMnrMxkXGqGtqc/lqIePHd8Ta\nWoeDB1OVsu4gU6I5e1bZvVJbS4VB/B86XbpQamDN+Ok1FKNxky8BsDnwX+jpXVfoE5qaqsRcLRQ4\n8puCwmhXfJv47SvpvXUrxVpmuNcKKCMeB92SDh0ASD10COikUJeKwkJhs6A8QGtoFSwk2Bmxnp4Q\n1In19MhHh+7h33Nr1jhSIyNlVIrH7+GnMa5pbkO0htBcZf8VA9lnob20oAX1oVFSeH5+Ptu3b2fZ\nsmX4+voK/5YuXfoi6ve3xMu40/tlxp+t19oU5ZfaWsS11VIaQnOr79Sto03gTmYuqFEmWbPmGuIb\nv5IfF/d8+lt1NdfWrBH6dHxICGm3s/CYVqN17THtPCVVYqKi0pg/v6uCJOCwYWaYWxnK2lUkQrdr\nV6VL6Dv1JDUyktTISGw8PKhN4q0rPTdt2u8EBvZSuEbU4XQFacFVq66hrq5MBC4srMB7TRat+r9F\nbmwstl5euIaHo2liQl5sLIWLP2AQ/0e39tVKge4bLir0sSwkbFwqXy4WYZb0Mzc3bUJVsyZwEqmo\n0GPlSlTCFhA2LpWDn3WkdOkH3N65E/ulS7m1bRsnD99mxIiTRP2cwdKl9mhpqeHtfVGQAZzpE0+l\nQTuWLLteo9899TKq9cil375diLv7WXx97fHyssXLy5bNviYU/LCP1m1N8fCwITIylW++uYOhYSv8\n/GIV+s3v53PI6zyEaZ4xwveLFl1GW1SEWLUaTU1Vhg83o7q8DM3d84nYYskXwZ0JCYln375kVqzo\nITyHuXO7EBWVRtWv37HT4yHffdUbDX19Ri8pYPfu21hb67B+/Q0ljfltK9rz7+Fm9OljwOnTDxV+\nW73akWpVNYzefo/KnGyiTsqMkEaObKcgozjL6zIbNzphZ6cj9IlevQxYtOiycMxszwscvKLDo5nb\nUdPWbrC7VxQVUVFURPnpw2yYqyvUZfMqK/L271I4tvZ4r9Hv3wrt6DHtPJ0376aVqSk6dna08vuS\noW6neXNMHK1Xf8uQ48eVEjZyjnpjMqvR0dEN2t2/SMgnEg35NTwLXgZZ4eehBgN//nuvBX8OGg3K\nt2/fjoqKCvHx8QwaNIhBgwbx6NEjzMzMGju1BS34S+FJA/yTBt66AWFtrfCGrvNHJ2VPesHVrqOG\nkYHSuZUlDdepuSDW16fTpEnYeXuT/jhLVxtaWmqsW9eTHTsSGDfOii++6Msbbyi6kBbEx3M/YJmS\nNnny0jlCm11bswZqMe+KipQ3+x07ls727S6MG2fF8uWxZGWVKR0jkagptOfcuV0EUyCJpSXdFiwg\nJSKC02PGkHnmDOdmzCA/Lo60QH/ueH3I9k01AWeAjwGpCyaSde4c7R0subNiPne+/hrH1auFbOnR\ngQM59sYblKanY/Gf/9B5aB9uTHqP/Lg4Sh884MKcOeiOmoDftlwh2J4z54JgKlQbatragn53eXkV\nbm7m3L9foqCR7uPTjeTkIoyNW2HQRk2QDRTpGWH54YdUVVYpSDsuWnSZ4cMVx/ayskpu31WcfAB8\nd7SQcRPOoa+vwZ49ScxelYXRhDkkTRlJ+kJ3ln/c9rGZTgI7drgglVoSFpaI33xLqq6fRtz3TdKy\nYfrHcQqylsOHmylozP8v1AZaazN2/Bl8fWPw8uzM//53B6nUks2bndFvo87bb59gxIcXyOzQn2vX\n8pg7t0u9UpKHD6exYEFXPv3UkR7dWnPuXJbSMYWFFcyZF0Nqtio6ogKF/hHgY4D1a46cmzGDK3sP\nYrl0A5Kft7JDmsihcDt6tCtFRSx+KtnW1hYWDDl2jO57DyoF7PL9EnXxvI1rmhMl6ek42SBMJJxs\naJZA+mWSFX4ZJj8t+Hug0aD8xo0bjB8/ntatW/PKK68wYMAApk6dSmpq/UvQLWgcfxXN7ZcFL2Kz\nS1MG+Jdl4H1SpkxeR32tKjYuMhaCia3ru1AW/eMz9beGzIzk131l507slywhNTKSGF9fzCz1CJhf\nE1hv2+qMSCSr/4EDrzF+vBWOjvpUV0NGRomglHJp3jzy4+IoWz6WHdJEjkS64txFlfJcZSoEyFYp\nRo/+TUE/eu7cLoSGJjB16lnKyirJzi5X0pgODXXB2FiTvn2NOXKoL7t3uhAWlohYrEKAjwHqGQnE\nn7gkmCvVpwnfqVNrDkT05nP3VMqWjyU/Lo5rq1ZRWVZGr40bsZRKubxwIQ8vXFCYiMX6+1NRXEzh\n430ltaFhYKBklrN48RXWretJdHSmEGzrdbbC1dUIPT2Z6klkZCoLFlymbdvWjBtnhVRqSbu26gzR\nvcyOTV3xnHNJKG+m91WybYdRXscYDqBvXyOFoN7KSkJYWCIbNig6edY2PJK7WuZcvkwrY2M6+G3E\nqOAWe8NdcXU1ZM6cCxQWVjB8uBn66Rcp+mAVH409y4kTyqtKrw/QFzTm+7vq0lpHk+neNROHOd6X\nWOffmbdfE2PaugiPqeeE35Yti+WTT7rz8GEZbdtqsnmzs0Kf2LMniQULLmNelkDatLfobVWq0Cfm\nz+8qTMpyY2M5OmAAndWSOHLIlcMHnOk3uD0pV5Jo5RXI/KguvDUhEaYG0Gvqh3TsZYNhr15Kk3f5\n34aZly8aBoaEbnNUmlRrmpgI6ivNhT86bjZn9lkYVwcMQCU5BlHCRY4OGPDMgfSfvdr8pLGwudCy\nyfOfiUaD8oqKClRVVTE2NubOnTsAWFhYkJSU9Nwr93fG81ry+ifjjw6UzzrAP+3ybHNMyhrLlGka\nGyOxaCtYw4u1NHjtu+8azPQ31m5PoufIX+KSDh0UKCyx/v60yzxF2LhUdn3em0WfxDBggOx8ExNN\nRCI4cSKdESNO8tNPMmOfoW6nqfZYj1hfn/LsbHIidqCvVYmmsXG9bSZfpYiLy2f58likUkv8/R1Y\nvfqaYMjj4mIoBHl2dtpKE5rMs2cpO/kDBcvGEeIt4uDnndD8fj2XElWYEtGJ6ZE90Fx7kLxr1+i5\ndi1mXr509A+gTcB+9n6dzsHDWVQ5Dkbcpo3QJlWPHnFhzhxuBgaSHxfH/UOHlJ9h//7cT3xI56Cd\nMurCY+MUSflDhg1oo3R8TEwu/foZ4eZmLjMcir1BQMANVq92VAjgZ848R6dOElxcDFkXEE+l/UDS\ncpSzxkdPl2DQ04GNG2toPgEBvbh9u4CwMBf27HElI6OEbdvikUo7YCIpQyq1ZOVKRyXDI4lEjYD5\nBmiL8tHx30NsnimlXfqzZu0NzM1bU1RUQXR0Jm5u5mi+OoxLV3IpL69iz54khaB465beWFq25sjB\n3hw59Cq2dtrk5pQjlVqir1+zUrD/p2w+nB5PWq66sILQqZOE+fO7IpVG8/3392jfXsKSJTH4+zsg\nlVoq9AmAwsREHm2chbNeMhE7urJr1yvs2JGAWKzCxnUOZK75mNIHDzjj7k5W+Dauu7/DhesVuIcY\nMmnOLSZO7ER5eRUeMy4qZLTrTt4zMkq4XtqBKRGdmLjbHNQ1OH5ceVL9PGkeTUVzZp/rjqtphw+/\n0ED6WQLnJ01Mnpaq2IIWPA0aDcr19fVJT0+nZ8+ehIWFcf78efbu3YtFA5rGLWg6XpbM64vEHxko\nm8Kt+7MHyqbyPOV43pOy9PQSJk+/TGDgTQIDbzJ52mXyq7WbzIWv/ZyeRM+p/RIvundPqR56Q4fS\n/t1ReHlfEQLKTZtucvFiFjdu5HHiRDpDh5oqunquycJg7EzB9VBe5/ra7N69IuFa2dnlRESkYNFW\nA7FYRcjoBgbGsWvXKxw55IpDx2qFCU1Jejpphw8THxJC+1GjSPb14saEUbT19BWs1R88KMVrcSIa\nc4KIL7NgflQX7lkMZvyEc+zefRtjY00+XnobtU/C0bGzo/fmzahqaCDW08NokjdGk7x5ePo0fYKD\nhUmF0/r1XLmvxcTd5ozwzEBtfij9vvkGNR0dLnp7U7R6Cls39RQCtFWrHHF20iU2NpfIyFR8PbTJ\nXPMxs0epcfmycrY7NjaXOXMu4OpqSHLqI5YujVHgYa9Y0YOoqDSyH5bh5ydzF5U5jMZiZKRJYmIh\ns2dfoKSkEj8/B6zbVlO0ZSHj3mqNoY5MX10IpDc78brmb5StGEsRErLLNPH1jWH8+NOMHWvFl18m\n89577Vm8uDuxsXmMev83du++Leibh4TE88UXfQkKcuaTxVcY/MYpktNVuJdRxeH/y+XDqXFERKSw\nZIk9dnY6LFrUjaqqatzczPFdHse6dT2xs9Nh1SpHgR/er58RXl7niYvLZ8GCy1haShT6hKqGjGJi\n4+HBvTWLkSRGU7ZhJju32XPwQF/Ut0ylPCcHo0netJFOobqqSsYH96rh29deIWgIp05lsH17PNOm\n/a7w91NdXf8m66cdR56Ep+Uk/9nZ54bqVF8dGktsPMv74EkTk6elKj4LWjjl/0w0qr7i5eWFjo4O\nb7/9NtnZ2ezbtw8TExNmz579IurXgr8RnlYXu6loSJHExESzSTJbzbWD/mmzWi96QnbvXpFCHetr\nt+PHhxAfX6DwnKyt6+e11n6JA8QsXkzvrVs5N0Mmi+gSGsrt0lI6mWvh5+fA6dOZnD79kHnzuhIb\nmyfICm7c2ItvvrmjULb52/9Bh3wuL1xIz1pqMbXbLD29hFmzLjB3bhfBIGbjBkf8ll9HKrWkb18j\nbtzIY4l3O6w1H3DqzfeFetWdCJkNH86NDRuEe0k/cZy6qhpRP2cAKvTrZyQEfyAz0HFzM8dzUTw/\nfrkP9eo8rq9fj/iTXUyfdxOA4E1j0OmiSf+DB8mPi6PctDNnzxfj5mbO/v13mbXoNj9850rG8V/R\ndvuQvP27aHv9KOPG9cbRsQ2BgXG4uhqybJk9+kVJ3F7sRUFiIuLVExi0Owo9vW5Ce/r4dCMpqQCA\nYcPMOHkyQ8kAJzGxgE8XtaO4pELBpMjUtBVW7TWQjpbdX1xcPhERKXz7eRfUZiwkMzEVn4BSxckf\nwwAAIABJREFUMjJKhbJMy5LQMNYkUyxGw2Uw86ZdFNpm3ryLrFvXkwsXsjl/PktBUWXt2ut8+qkj\nRoYaHD6cpuCsOnnyWfz9HYTJmrydt23rzYMHpXz99R3hXs+dy2LFCgeiozPr7afZ2eWEhMTj52fP\nuXPZhITEsyfMSdDCNxs+HEQizN54Q7ZPQVSB7rJlXIirZPpjSc6A+QZoJZ1WKlu+J+FJSklubuZK\nv4lEDas1/VW44o2h7rhqNmwYpoMHN3mcbUyhrCF1mSe9DxpD3TGttoJOC1rwItBoprxjx45IJBLE\nYjFTpkxh48aNLFiwgLZt276I+rXgb4JnyTA0xq2rKCpS/q646KmWYv9udCITE02Cg/so8GlnzbrQ\naJvn5yg/J5FIJt1Wm098OyGPypISxHp6gGyDZweplCuffIKlVIpreDjGffvyyiuvcP16Pp6e54mI\nSGHyZGsuXMgiJCReyM4GBsaxalUNzzYk2Jn0I4fJLlShNCPjiRk7ebApy/I6ELgpHnt7PQoLK1iy\nJIZ/Oaphpg+X58+n9MEDqsrLefDLLxQmJwtltn3zTYxcXRXKLYr6mm1beim0X1RUWqPtnhZ1mNSD\nB1Gx78uMeTdr1GBmxxCfUEh6cWsKDWy5naFOREQKkZGpLFzYDUtLLWKvlzBxtznTI3sgXvg5lWWl\nlJVV4ucXy6hR7YmISMHd/Qx3yo3pPGsWrUxNURGL0aRUoT1DQuJRURGxKcgJ46RfcO2th49PN8Ri\nFaKjMxk40JRhr6hjUPmAxcviWLu2JiO/KagXKtmy/UL6+mImTeqEVGpJmYqE/0y9y1jffDw8ZM6Q\nn32WSFRUGsVlIkTdX8XK3R01kbLthYG+Bh9+0L7e9rp+PY+K0jJsbeuKetaPnJxH+PsrqsPk5JQT\nFZVGVFSasBoQHZ1JQEANB97Dw4bk5CIiI1OZPt2GsRMvcjFeRvPSNDFB09iYgvh4gf9cqG6I95qs\nmtWbtVmoS7QIDnJQ2CMxeax5o8mF/fvvKqxS7Nz5CvHxBc99Ze9pOclPyj7/UZ557XHVyMXlieNs\n7Ws0NWv/PFabxXp6dJo0iU6TJgnjmxwvkmLUwin/Z6JJ5kG7du3C0NCQt99+m82bN/Po0SNmzJiB\nublyBuBlxMtqHvRPwtOYXjwtSjIyOPFTgmA0E+BjQL/+bTn273//o00dMjJK2L49XsGARd7m8uA8\nObkQd/czgEwrW3zxJybuNld4TofC7Uj/v1/4ueRVhbJ2SBPp5NqNmKVLMRs+nJSICKX2zkdH6bmv\nWuVIXt4jhcxu/3/po6mlAcDthDwmTpZpWG+Yq4tK2AIFTXJ53avLSjh8LFcoZ9u23qSkFCuUm5FR\nws6dtwnwMaB6iye2np6UZ2ej3mcIGSdOkv/9HnquW4e2rS15sbFClr/74sWo6+iQqtODw8dziIpK\nw3eKNuqt1FiyKYf587sK2tZyAx3/JbaobJqGoasr2YUqTI/soXDf7u5WGBtr1ut8GRb2ChMnnhGc\nQseO7ci7w7QpUdMi8tADpeND3r2FVkk6ahIJYn19kiVOeK+V9f8tQT2xaPOIe0um8ygvD6s1wRRr\nm5P2oIzqagTFkf59WrPQP5HWrVVZssSeEyfSiYpKY/ZsW1RVobi4SmjL1asdmTv3Im3aiPHx6YqR\nkQbbtsUzYWx75sx7rLm91YluBllcyjBk1myZzvncuV0IC0tk375XuZ9aREJizfOZP78rK1ZcRSxW\nwd3dCjMzTcH0aPHi7qirixTqELS6MwYVaYxeUqBkCqWiAo6O+ixdGsPw4Wb072/Ctm23sLSUbZ6M\njs4kLNSZb75NVXBRrb2iVtsExszLV8ncSW68VdsMqzw3t0lOlnp6Yvz8HLh4MZuhQ00ZPfq3ZhsL\nm8sATI4/6tr5LKjP1bSuqdLTjN8NGayBYla9vu/SjhzhvKcnAM5BQZgNHapUfnO3eQv+fnhujp7L\nly/HyEgmVxYTE8Mbb7xBTk4OSUlJfxmt8pag/OXAH6WvNMVuOPPsWW4eli0v2w5zRdKhQ4vTGvW3\nee3vQoKdsbYUU1VVzdXRb1OakYHWsj38dlsCwNDBxuTPG4lGv38rBZnb3K5QEPkFAyIjATju5qbU\n3tfu5jF27E2F8/btfZWP6gQlYeNS6dTPnmprJ6Ug/sAXvbB1bKt0P0GrbAgIuY+9vSybZW6uSUhI\ngsK5777bns2bb2Fq2oqvt9ugXlHEvYxKZvnLXsZBK61R3eGN6549PEgtpDCvGNW8DPQ0yon188P0\n9dcpUNGjorCQvP27aGVsTPe9BxFra3HnThHR0Zn06NGGkycziIpKY+WSTji2KyU1IZNCHUu8F8cL\nzpe3bxfwzTd3cHMzJzIyVaGefn72LF0aKxjeyOk4W4IcqVZRY9as8w26RorU1Lg4Zw5tvZcBoCcu\n5fKCBVSVlyNe+DlzN+QBEL6rN1dvKE5a7Lu0JjIqQynol9en9ndjxnTE3l6P+fNlZjybNjnj6xuj\n4Mz5Y4Q9j6rV+fL7LIUJ3Bdf9GX69HNIpZa89poxhw+nERqaIATH777bHhsbbW7fLgSgr4se6wMT\nGDTIhCEDjXh09jCmZlrcT8ygoPNAPBfeAmTBu46OOvPnX0JPT8zWrb354Yd7nDyZwbx5XQWjoX79\njLG316V//6MKE5/RoztiZaWtFJTr2NnRevW3eEw7j56emM2be2FhoVVvAN/Y2HL7dgF79yYJkwEv\nL1ul9v6jQfmTxtTmsGl/EY6VDV2jICHhmSYDtQPn+iYW9X33Mjl0Nsfza8Gfh+fm6BkfH8/ChQsR\niUSMHj2at956i/LyciZOnPiHKtqCfy7km5ig+TMMRi4ugsuefABtcVpTbvO6fEuPaefZIU3E7s1/\nCZKDFRUITqAD+8sm5Hn7d7Fh4eeCA+WGubrkrd6FiliMmpaWEn/0lZ07yUcHNbUCQoKdBVfPjRsc\n+bUe7m9FcREPfvmFNoZWSr99dfAhg4vUsLbWVqi756J4dgY74D5NlqkND3clJCRB4dySkkrh//uP\nlxMRcR8fn26Ul6eRnV2O5ycJhG3ewuWbFUycInP69PHphoXGQyxGjCAhJIRuCxdyY8MOWhkb02vz\nZrS0KtE00sTISBOt1qp8/c1dfvghlYEDTTh/tYzKR2JmLyoErrFhgxOPHlXx6afX6ddP1pb7999V\nCLzXrXNiy5ab+Ph0IyWlUFBS0dcXE306h8GDTdiwwYm5c2UuoSFbnXDsaI/q1A8Fp8fXDhygoqiI\n30aPxujTT2kjnYKmvTP/l9AGNzcJ+/ffJelOmRJH+8BXvflIKpvwyINogEePlHM1r75qyLRp54Tz\nZ88+j1RqKQTlAFmPJLSvTsallxFz5sXIlEwCerJw4WXi4vJZtiyWoUNNmTTRSmHjZVJSgYITaYRp\nK/b466BensSD2ZOxGDGCJJ33mLYzBj29ZIKCnCkqquDevSISEgp47732VFfDzz+nMXiwKZqaqmRm\nlgr92MpKQqdOEkJDXZg37xIeHjasWXONiIiUx8GsYv+V7WMw4/jxIdy4kc+YMbIJf2ioC042yoZT\n0LBNvJaWTB9ervwSFZVGcHAfpk37XSjzj4yHz8KdfqkgEtFGOkWY+MrxrI6ktTdz1+WJD4iMrJc7\n3oIW/NloNChXVVWlpKQEbW1tdHV1ASgvL0dNrdFTnwuuXbuGv7+/0vd2dnb4+fn9CTVqwdPgj7ww\nmpotqDtwvyib6ZcdjbV5RWEhF2bNok9wMPEnLjFlbZZC0H4gaCO3PN1RCVvAofDdIFLh1swxqIjF\nCpMdob1FIi7Gw+SBRwHYufMVDu3tStbte8xefp2MjFKFoDRgvgHmaiZcW7WKtKgogoNqbMjnzu3C\n9u3xABgaaqCnJ1awSa868xM7pKW0Hf4Guqr3CFxshtcKGfd743oH/FbECYHf8uWxZGeXs2aNbMOj\nfHPjkVNFQJFCsCqVWvLR62+isnMniWFhvPrFF1Tk5XF6zBhANum4UWjG1FlX0NMTs3SpPfPnX0Iq\ntWT2gpoNi3PnXmTzZmfmzLElOblIUAgJC0vk8y3d0dNVRVyaie+AW4gybtFn+HAiImR8bnkbRUSk\n4OtrT0hIHwx1Vcg/FsmpT0LpuW6dEJTLn4HTxo1cSlTFK6ITROTg49OWAwfusXBhN1JTi5WevaZK\nOQlxuULwumSJPRoaKuzefVthIrB6tSNmZsr96PXBRsK58n0LG/6ThGFrMV/uHEp1WSlGhhW4uhpi\nb6/H/v136dZNl6XLrsrkETVV0dBQQUVFOdCVaGtwc8ZEVMRidN4ezbsjatxhPT3PM25cRxwd9fHz\nixWCbACXPm14y60tI9+JFp7DqlXXOHDAgL59jdm791Xc3I4rBbMqampYSqUAiB6/36qrEZRTah9b\nd8JfmJzMGXd34XPtrK6chyzPaK9b1/O5JihAFoj2spFx/5+FavEibOQvxsOUCNmm6oAle+hlpypc\no+4GTni+lJEXcb9NRUuW/J+JRukrvr6+9O3bl2HDhgnfnTlzhsOHD/8p9BV5UL5mzRokEonwvbq6\nujBpqIsW+koL/m4QNj2JRFBd/VQvjtpL3gHzDTBL/hmRigo206aRXSBiqNvpBvnLNlOnomlcPz9T\njob2D5Tn5jLscWAlpw+8/7YhFUf2ce/AATT6/RuAqthTtA/cxxdf3eOHH1KZOtVGCOCDgpxZujSG\n3NxyAnwMKFs+lvLsbFqZmmIplZK0Zw/6H01Dz94eQ6cehO5Nx9pamy1bbinQLNzdrSgpqcTFxZDA\nwDgGDTIhM1Pm+Bkdncnw4WZMHGOOfusap9CGOMeTJnUS6Ci1/y+/loeHNR06SFi48DJ6emICA3qi\ncukIWeFbcQoI4KK3N0aPX8C5sbGo+3zGsZOKSiV2djoKPPYNc3XR+N9qbLeGo6ZVQ6vILlZl6JuK\nz09Ol9mypTepqcWsXi0LXhvaQxARYst3x0qF7L9Eooampipj3jcj9mYZnp6yVY8tgY7ol6eSUGrG\n1au5HDp0n/fea8/rg43Jyq1k8eIrACzz7YaXt4zysnq1IzadtPjf/nsCncPOToewrfbcz6xkltdl\noW4mN38g5Ysv6LFyJaKuryj1qcWLu7NixVUlOpCdnQ4Ba7ozweNivRSR+vrnkUhXLrq91qQ9EXWV\nnVBR4ULwPiHTqyIW10t5aM6gMj29BJEIJaWkvn2NBVqGWE+PVn41E9xnUbxqiorVH0FT9xo9q3JX\nU+krcjyv+23BPwfPjb6yZMkSpe90dXUZP378U1+sOWFgYIC2dv1SbS34e6GFW6eI2i+Tbj4+xIeE\nKMgGNgZ5lq449T6iW+eI/fprAEwHD8a8b1+FrF6AjwHZy4N58DjwtfHwAJ7+ZSXfGBfgs17YkDt4\nsCm2jsYU6r3LXeO+NfJzPoMw169k8GBTAIHOAeDpeZ49/jpoIOJ+wMdKjpTl2dk82LySXFNT9CNP\nEhGRosTTDvusN8Ul1cyaJVOECdzQA3U1ETM8ZQHhunVOmJpqYN7RQCi3qcoT+/ffZckSeyFruyWw\nBx3MVNh7IFuQPxw/4Sxf+RthNnw4Kq1a4eDnp7CxTLWrPlm5VUIGGmD4cDMFGca5G+CzoE0MdZPR\nKoKDHChd+gFaw9+jrpSjHCdOpLNvXzJjx3bkw/ctuOP1EapjvIFSheOKylUZ5CohIqKCyMhUfHy6\n0a51DrqalfRzVOPggb6oaYi5k5jNh/MzgUwWL+6Og0MbCgoq+GC0bOPw/PldSU4uxMv7Uq1ViOsE\nBDihoaHKihU92LTpJks/sWPijFgAdn3WCwOVHBK8PyA+NxfnoCBMBw6kJCOD7Zt6MHW2LND38enG\n3bvKmX95W3n7XFWQygwO7iMEeiYmmgQFOQuTi6AgZ/S168lNiUSoJMUQ4GOA95osgVsuh/xv4NcT\naXg8zvRuWPg5KmEL6q1Xc2V4aweoO3e+opBxr03V0Hb7kGmeMc1Cb3kRwam+vhip1JKiogqF75uD\nplPfqumTVlJfhmC85b33z0Sjkoh5eXnk5eXx8OFD4Z+RkRFazWwJ/LSYPn06EyZMYNGiRS0i+3XQ\nnDbJLXi5UFcq7NqaNRj16/eHXEhNzSXE+vsryY7VNjDpZacqow/Y2dE9/HvyaVy6rq5sWEiwM7dm\njSM/Lo6y5WPZIU3kSKSrkO0q0jTBP6SgxsAmpID8Kgl9+xozenRHpfILf/+V2wumY+PhoSDfZjZs\nmMJncytDQkNdGDu2I9nZZWzf3puVKx3RN9BkyZIYysurcHMz58y5XM5fzheoEfPmXcTCQnF8qysX\nZzvMle2bHQX5vU2bnPHysmXs2I7YWmuyc0tXpFJL1m1MID5VpCB/qKcnRt/JCRsPDwwcHVFx6Ifj\ngV8Y+OOPmA0dyqP8PEpLKxWcLgcNMlVqh6OnS2okFz1j0Oj3b0pPRiqYDvn4dCM6OpOgIGeOHHmA\nWKzCv/5ljLl+JeXSJXhtqVK4zty5XZi7JAH16yf4epWEr4KtsM34ma6G+eReucLR/v25MaIf1dnp\nTJ11Rbj+ihVXEYlECiZQa9dep3Pnmv6iry/Gw8OGCRPOsHv3bcrKqti+pgN+K+OIi8snLi6f8ZMu\nkPbzEfLj4ih98ICYpUtJP3GCowMGUOIrZf9GI75epUXvNin0V/mVgPkGREdnKtzDEBcNBalMqdSS\nLl1q6pGeXsLSpTFCf1u6NIb8KgkuoaHo2Nlh5uVL9/DvATjj7k7Z8rGEvncLv/mWjBlzWkHGMD29\nBI9pNbSauRvy6Lwl/LkFdXWlZeXKSX85HvljyMcKOzsdliyxJyIiBTe3489FJrI++cR/ooFfC15u\nNJopn/FYIqw+fPXVV81amaagbdu2LFiwAAMDA0pLS/n999/ZvHkz6urquLi4vPD6vGx4EfJVLxot\n2YIXD+Elb+LCkOPHOX+jkjfHnAfiCA7uQ//+T36R1ebM6ogKOPp4E2l5djY5ETvo5fGBcKxIhAIn\n2MenGyKRbAJipq2ikNXcuM6BkmX+lGdnEx8SwoDISGGjKcCQ48epKCxE7XHSoKKimoiIFPT0xHTt\nqscnn8iy4YsWdQMQJPhWrXJEX1+sYMNeGyWZmRS1MqaDfyAqSVeorqjAxloLf38HkpIKSUsrETLb\nffvossQ/gbi4fCZN6sQc7xoaxYYNNwgPl0nrQT3L8h2g+JEat27l88MPqbi5mSORqGEgLsLHp8Yg\naNUqR9auva5QR3GbNlh7eXHvUiRS6atUVlaTlFTA8OFmtG6twtChpqiqiujYUUJ2Yamgw718eSxj\nx3akXz8jVq26xvDhZui4WKP98AZ3fjuOlqUljwoKuLxggUDvyLnzQKmNDA01lL67e7eYTZuchU2h\ndTea7tvSidzc+tscZMY+v0+bJkwc4+dMoPvixRQkJJAZEUFVeTmrRo6nVUYSP345jLKMDDI+82Xr\nuuXMmHeTyMhUgoMcMDauRTdBR8kwCWSZ09arv2XKtPMQEUdIsDNiPT3y4+J4VFyC56J4pWxtvaiu\navB+njdqc6KrYk8RuNEdrzmyfQFBQc4vZfD+JJ6/3H239urd026M/avKF7a89/6ZUF22bNmyJx0w\ncuRI3nnnHUaOHMnBgwfZt28f77zzDu+88w4qKo0m2psdmpqamJmZoauri4GBAQ4ODqSkpHDz5k36\n9+9f7zlJSUkkJibSvr3MwCI6Opo7d+787T4baWjw6zvvUPrgARWFhaQfO0b7UaM4e/nyS1G/ls/P\n/lldIqFV585kRUejJpHQzceHuwcO0G3NGgwdHJ6qvE5du9LG0ZH0Y8dQk8gyhXpduigdf+VGKhMn\nyeTxCgsrOHEinV69dLGwkDyx/K5dOyGRqHMhNhbrQYOEOjsEBZFQXIyFhQUAN2+mMHfudaH8K1dy\nGDFAld9H/Jv8ah0Wbi9nyBBTOnfWIXzfHdzeNKMi+SbOmzej36OHQv/OuXyZUx98wL3vv6ey1xsc\n+jmTixdzGDbMjK1bbwnXuHQpB3Pz1hw9mk5hYQVnzz7ko486kJxcxKZNPSkujhfqd/f4cS7Hw+iZ\n8fzvWCWur9uidvM3KrT08Vlxh/fft2Tx4itC2b+eyuK//7XgzJksnJz0uXWrgMJC2ZK8RKLG2Pfb\nUJaWTEGJGu9KzyjUqZOVFmPG/c7Vq3nMnm1LaGgCN27k49azmBVbMoV2+PHH+yzybEf02XwkEjW2\nbuxOJ+MKLs2bR+Hvv2L51ptsDH3AtWt5TJ5sw5o11/ntt4dMnmyDaWkcd346zsErOhQWVlBSUkly\nchFGRq0YObIdGzbE8fX3mTgN68Enn1Wx7+dKXhlsg157UzTselCRfJM2w0dg3cuKK1dykEjUZIo1\nFprY2OgI323d0gvbnF/huy2MWj0BcSt1jh1LV2iLUYM0eONNCy5eLUZNTcTW9V2wlOSTfeECahIJ\nXby9uff991QUyqQS1SQSJB07YujqSht7ex6eOUP5rVhsJ46mvasTWtpitJ2cSPWZxH+G6PBm53TK\n9nyKpFs3okeO5Pbu3Ri5ONL7dTuio7OQSNQICnKguDgBdXUDRr0bLTyP4ycymB06mewjkWg5ufLD\nVX2Fuo9+1wSzdrp0tdXk5K+ysjbM1SV75UyqevTA4LHBXnP+/Usk6nTu3Eqoe2ioC3l5cSQnJwvH\nx96/T7t33sFs1ARmeF4R+syePUm4uZlz+fLZl2Y8k39+9KiaAweyFNp3/HgrJBJ1oqOjUVPLw8vr\nVcaPt1K63yeVf+pUBu+88yu7d9/G0bEN7dtrvRT32/L57/9ZXV0dKytlNbHG0OhGz9r46KOP2Ldv\n31Nf5HkjPDyca9eu8emnn9b7+z9lo+fLpLHanGjh1injWTZ6NlRWQ2XUtxlLKrXEw8Om0exT7WfX\n0HXqK3+HNJGsPVuw3bqXCX55gpxgdHQm3+zthb5WpVI58v5fV5977twu3LlTxDff3FG6h8DAm8Ln\nxYu7k5BQwOSx5kiq8lCTSKC6mgshXyoZyeyQJlIU9TXiT3bx+9VHChbxpqat+Hx7TyZMlWlnL1rU\nTdD2lnO/y3Nz6Ry0kxGeGcJ5Cxd2paSkUkHfWyq1xNJSgl16FDkmjgIff7OvCdZdjKjUNkRLSw0T\nE00e/v47p8ePp6q8HPtly7h/W6bR3eXtARToWVNWVolu6ypSz19H09iAeymFglLN3LlduHu3iK+/\nVmwjNzdzPvssUWivqKg01vtZYWAiwX1qjMJzeestc8rKKuneXY8uJiWoXjnKgzuyFZKq2FPYbt7J\njaRqZstXPTb2ws8vltzccoJWd8asIpmMzwIxcHFBp3Nn1DQ1id+xg/ajRnFjg0yLs/eWLeja26Np\nZERJRkbNqoiKCtkFItS0tGQrM3WMZyylUm4GBgqfhxw/Tn61bE+SvA83tOlQh/waRaFaey1EIR/L\njKc6d27SRs/mRFOyv+fP31LyCHiZJROfdTNnXTxPw7oXgZb33l8bf3Sj54tPdT8jqqqUlwZrZ8H/\nyXiSTXIL/l6QcyHlNuHNUVZDMDHRJDi4z1NbzgMYt2qlEIzXd526HPSwHc7oOfSg4+qtZH6+Ed9F\ntkRGphIZmYrfMnvMrQyfWF/dkeOZuyFP4N1u2HADiUSNjetqLNJDQ10YNsxMgXu9Zcst+rvqEvPh\nWxx3cyPtp58oTqv/PisKC8mPi6N6iyfvDRUTtMpGoezObXLYGeLI8OGyDP2uz3tz+LvelC79QOBL\nJy+dw+ZVVpiatsLOTgdHB10l7rm1tTYhIfE8Ki3H3iiXHyPs+eWnvojN2vHGB1dxcztOQkIBJRkZ\nxCxdis3Gz7H6dBvx27aRFuhPWqA/56dP525KAV5eF7gQU8yYT7IZNTkeNUMTwle2QSq1ZPXqaxQX\nV9Z7r3JUVVUzcWInJnnG4T41Bj8/B+G5TJ9uQ1hYIps23cLXN4bWWuqk6PVmUXRvTkreppX3JspR\nx/cxl3vx4u74+cUSFyfj8nsuvEX+rQQ6SKXc+fprrq5YgWb79hSlpJD85Zd0CfuGDv6BXF+3joJb\nMuMgTWNjtK2sKExO5sSP8Qx1k/G9L8bLJCvl42Cf4GDSoqIUb6a6WqBG1NcP7ex0CA93rem3xsb0\n7WvMkUhXdkgTKVs+lvy4OBlVsKqKzoN7UxD5hZJM6PNC3brXh4qK7BdmCd8cqL2X5VkD8ha04K+K\nJkkiynHz5k1sbW1lJ4pEf4ou+JYtWzA0NMTZ2Rl1dXWOHTvGkSNHWL9+PWZmZvWe80/JlMvRIufU\nOFra6Olx4cJDDh26T1RUmqC1/CRknDrFpXnz0Br+HuZvvknHXjZPPD49vYTStPvEXX3InFWyjV6f\nBdkxyTOuydmujFOnuPXLOaXMdmTkAMy0S4Vsau3sKMgWHB4VFnF19Nvkx8UBsoyq48qVtLa05Pz1\nR0Kdaksx2np5kRYVheT1d1Dv7EDl3UQc3UeCSET2uXOUGnSk/OFD8hMSaDt8ONfd31Eo38rdHf13\nJ5BXoqKgq21q2kqQf1yz2oGu2mmcnzmT8txcuod/z5tjFNvk4IG+ZNzJ4uOlt5XkIuXyjXIJwdrn\n7V2lTxYGeC6KV8rqBwX2YumyWCVH0trSg3v3voqWlhrJyYW4u59BT0/MxjVdaaOnjuf864wa1b7G\nnXRLbxYvviJw7etKR34WZEdn/Xy0HtOGNE1MyDx7lpg0CbMW3QZkUpAqYQt47cABNE1MKElPr3cl\nQ8hwPy7nafbaZGSUcONGvoK5j7yvP2k18mnGlBfJc/6rcqqbA82dfW9BC5qK5yaJOGjQoHr//2eh\ne/fuHD58mMOHD1NeXo61tTXLly9vMCD/J6Il0Hwy/o6bYV8EevUyxMJCq0m0lZL0dC7Nm0fVxE+Z\nsiHv8cY5Cf/q3/DfqQ75xB/8gTm1Aqyjp0ueqo7GffuibWNDSP9KwUU0NNQFKyttQBuGgz5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ovvf8uWXjqLT3Nz89QR3djYLBYujGHOnA54eTkwe/YZCgtVaR7FlWYehy5JQVnLlvTft4/uPiOq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VXr7clUWLQmnWzAiZTJ35868oTcA8fz4RU1Ntxow5Ayhy5FeuDJPqq9vY6NKnz1FppdaYmGyl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\nAADJRDkAACQT5QAAkEyUAwBAsg9/yLDQAHhQOwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xe0288978>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(np.log(f1[g==0]+1), np.sign(f2[g==0])*np.log(np.abs(f2[g==0])+1), c='#990000')\n",
    "plt.scatter(np.log(f1[g==1]+1), np.sign(f2[g==1])*np.log(np.abs(f2[g==1])+1), c='#000099')\n",
    "plt.xlabel(u'~ log число транзакций')\n",
    "plt.ylabel(u'~ log средняя транзакция')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "tmp = transactions.groupby('customer_id')\n",
    "f1 = tmp.amount.apply(lambda x: sum(x[x>0])).values\n",
    "f2 = tmp.amount.apply(lambda x: sum(x[x<0])).values\n",
    "g = tmp.gender.mean().values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x40952da0>"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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QWmqmocFBJqNRU2ObUom5OHTSgzcOt99++2Q3QeRB4lQYJE6FY2ispnqttAMN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\ncAOyDiweTeE4CQ/X+1h2zNb6HudfLFEs6NSqBo4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p/OQne7zxRo2rV9t87Ws1cjmVpaUM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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x40bfb160>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "figsize(7, 6)\n",
    "plt.scatter(np.log(f1[g==0] + 1.0), np.log(1.0 - f2[g==0]), c='#990000', s=20, alpha = 0.3, label=u'ж')\n",
    "plt.scatter(np.log(f1[g==1] + 1.0), np.log(1.0 - f2[g==1]), c='#000099', s=20, alpha = 0.3, label=u'м')\n",
    "plt.xlabel(u'~ log сумма начислений')\n",
    "plt.ylabel(u'~ log сумма трат')\n",
    "plt.xlim([-0.5, 25])\n",
    "plt.ylim([-0.5, 25])\n",
    "plt.title(u'Общий баланс', fontsize=12)\n",
    "plt.legend()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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Ilw0AAAAAAJzN22+/rf/zf/6Pbr31Vn366aeSpE8++USDBw/Wr371K0ln5nX74Q9/qPT0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\nadP0rW99S0OHDg1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ATEfO4QTnm/PTpwOqrQ2+Av/F2/XD3aoPXGiczwHjaOwBAABszus9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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x44aa37b8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "figsize(12, 5)\n",
    "plt.hist(np.log(f1[g==1] + 1.0), bins=100, color='#000077', label=u'м', alpha=0.6, normed=True)\n",
    "plt.hist(np.log(f1[g==0] + 1.0), bins=100, color='#007700', label=u'ж', alpha=0.3, normed=True)\n",
    "plt.legend()\n",
    "plt.xlabel(u'~ log сумма начислений')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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OAEAfwl3fAQDwB3d9BwAAAACgj2BQBwAAAAAgQBjUEUilpaWuI8BndGoLfdpy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\nZEL+DxtOFKubgyZ0AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x44d394e0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "figsize(12, 5)\n",
    "plt.hist(np.log(f1[g==1] + 1.0) - np.log(-f2[g==1] + 1.0), bins=100, color='#000077', label=u'м', alpha=0.6, normed=True)\n",
    "plt.hist(np.log(f1[g==0] + 1.0) - np.log(-f2[g==0] + 1.0), bins=100, color='#007700', label=u'ж', alpha=0.3, normed=True)\n",
    "plt.legend()\n",
    "plt.xlabel(u'~ log сумма начислений - log сумма трат')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(nan, nan)"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tmp = np.log(f1[g==1] + 1.0) - np.log(f2[g==1] + 1.0)\n",
    "max(tmp), min(tmp)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "tmp = transactions.groupby('customer_id')\n",
    "f1 = tmp.amount.apply(lambda x: mean(x[x>0])).values\n",
    "f2 = tmp.amount.apply(lambda x: mean(x[x<0])).values\n",
    "g = tmp.gender.mean().values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 140,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0xe61c8e48>"
      ]
     },
     "execution_count": 140,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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s/Z1s8IxBURUmT5iIsNpxNGsoikphYQkAs2dnoGkqmqaG+hxPxeFQsVhOjquw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\nEZHP+3/4NPblJHkuNAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xe3087fd0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "figsize(7, 6)\n",
    "plt.scatter(np.log(f1[g==0] + 1.0), np.log(1.0 - f2[g==0]), c='#990000', s=5, alpha = 0.5, label=u'ж')\n",
    "plt.scatter(np.log(f1[g==1] + 1.0), np.log(1.0 - f2[g==1]), c='#000099', s=5, alpha = 0.5, label=u'м')\n",
    "plt.xlabel(u'~ log среднее начисление')\n",
    "plt.ylabel(u'~ log средняя трата')\n",
    "plt.xlim([-0.5, 20])\n",
    "plt.ylim([-0.5, 20])\n",
    "plt.title(u'Общий баланс средних')\n",
    "plt.legend()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 148,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "a\n",
       "1    1\n",
       "2    0\n",
       "Name: b, dtype: int64"
      ]
     },
     "execution_count": 148,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# просто эксперимент\n",
    "df = pd.DataFrame({'a':[1,1,1,1,1,1,2,2,2,2,2], 'b':[3,2,4,2,3,1,2,3,4,3,2]})\n",
    "df.groupby('a').b.apply(lambda x: sum(x==1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 183,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>tr_type</th>\n",
       "      <th>amount</th>\n",
       "      <th>tr_description</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1010</td>\n",
       "      <td>1589734</td>\n",
       "      <td>Покупка. POS ТУ СБ РФ</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2010</td>\n",
       "      <td>1040713</td>\n",
       "      <td>Выдача наличных в АТМ Сбербанк России</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1030</td>\n",
       "      <td>970994</td>\n",
       "      <td>Оплата услуги. Банкоматы СБ РФ</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1110</td>\n",
       "      <td>928154</td>\n",
       "      <td>Покупка. POS ТУ Россия</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>7070</td>\n",
       "      <td>691896</td>\n",
       "      <td>Перевод на карту (с карты) через Мобильный бан...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2370</td>\n",
       "      <td>376521</td>\n",
       "      <td>Списание с карты на карту по операции &lt;перевод...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>7010</td>\n",
       "      <td>258088</td>\n",
       "      <td>Взнос наличных через АТМ (в своем тер.банке)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>7030</td>\n",
       "      <td>155200</td>\n",
       "      <td>Перевод на карту (с карты) через АТМ (в предел...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>1100</td>\n",
       "      <td>117870</td>\n",
       "      <td>Покупка. ТУ  Россия</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>7071</td>\n",
       "      <td>96146</td>\n",
       "      <td>Перевод на карту (с карты) через Мобильный бан...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>1200</td>\n",
       "      <td>90742</td>\n",
       "      <td>Покупка. Зарубеж. ТУ</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>2330</td>\n",
       "      <td>69633</td>\n",
       "      <td>Списание с карты по операции “перевода с карты...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>2371</td>\n",
       "      <td>65809</td>\n",
       "      <td>Списание с карты на карту по операции &lt;перевод...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>4071</td>\n",
       "      <td>65806</td>\n",
       "      <td>Плата за перевод на карту (с карты) через Моби...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>2011</td>\n",
       "      <td>63127</td>\n",
       "      <td>Выдача наличных в АТМ Сбербанка (в других ТБ)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    tr_type   amount                                     tr_description\n",
       "0      1010  1589734                              Покупка. POS ТУ СБ РФ\n",
       "1      2010  1040713              Выдача наличных в АТМ Сбербанк России\n",
       "2      1030   970994                     Оплата услуги. Банкоматы СБ РФ\n",
       "3      1110   928154                             Покупка. POS ТУ Россия\n",
       "4      7070   691896  Перевод на карту (с карты) через Мобильный бан...\n",
       "5      2370   376521  Списание с карты на карту по операции <перевод...\n",
       "6      7010   258088       Взнос наличных через АТМ (в своем тер.банке)\n",
       "7      7030   155200  Перевод на карту (с карты) через АТМ (в предел...\n",
       "8      1100   117870                                Покупка. ТУ  Россия\n",
       "9      7071    96146  Перевод на карту (с карты) через Мобильный бан...\n",
       "10     1200    90742                               Покупка. Зарубеж. ТУ\n",
       "11     2330    69633  Списание с карты по операции “перевода с карты...\n",
       "12     2371    65809  Списание с карты на карту по операции <перевод...\n",
       "13     4071    65806  Плата за перевод на карту (с карты) через Моби...\n",
       "14     2011    63127      Выдача наличных в АТМ Сбербанка (в других ТБ)"
      ]
     },
     "execution_count": 183,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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a0ZNILxOAiooKZGdnIywsDAEBATXW2BYXF+PQoUP48ccfcfv2bZiZmen8H6BGo0F8fDzO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\niAAAAICQB0IXSte8NwfiAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xd4d85f60>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Самые популярные tr_types\n",
    "tmp = transactions.groupby('tr_type').amount.count()\n",
    "tmp.sort(ascending=False)\n",
    "figsize(12, 5)\n",
    "tmp.plot(kind='bar')\n",
    "# plt.bar(np.arange(len(f)), f) f = tmp.values\n",
    "plt.xlabel('tr_type')\n",
    "plt.ylabel('count')\n",
    "plt.title(u'Число транзакций с разными tr_type')\n",
    "pd.merge(tmp[:15].reset_index(), tr_types)\n",
    "#plt.plot(np.sort(tmp.amount.sum().values))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 189,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ж</th>\n",
       "      <th>м</th>\n",
       "      <th>tr_type_description</th>\n",
       "      <th>k</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tr_type</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>6210</th>\n",
       "      <td>39</td>\n",
       "      <td>377</td>\n",
       "      <td>Возврат покупки.POS Зарубеж. ТУ</td>\n",
       "      <td>0.812500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8100</th>\n",
       "      <td>107</td>\n",
       "      <td>15</td>\n",
       "      <td>Списание после проведения претензионной работы</td>\n",
       "      <td>0.754098</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1310</th>\n",
       "      <td>130</td>\n",
       "      <td>749</td>\n",
       "      <td>н/д</td>\n",
       "      <td>0.704209</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7075</th>\n",
       "      <td>58</td>\n",
       "      <td>332</td>\n",
       "      <td>Перевод с карты на карту в овердрафте через Мо...</td>\n",
       "      <td>0.702564</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7034</th>\n",
       "      <td>518</td>\n",
       "      <td>138</td>\n",
       "      <td>Перевод на карту/ с карты через АТМ (без взима...</td>\n",
       "      <td>0.579268</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1410</th>\n",
       "      <td>240</td>\n",
       "      <td>854</td>\n",
       "      <td>н/д</td>\n",
       "      <td>0.561243</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7035</th>\n",
       "      <td>52</td>\n",
       "      <td>119</td>\n",
       "      <td>Перевод на карту/ с карты через АТМ (со взиман...</td>\n",
       "      <td>0.391813</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6200</th>\n",
       "      <td>2183</td>\n",
       "      <td>1150</td>\n",
       "      <td>Возврат  покупки. Зарубеж. ТУ</td>\n",
       "      <td>0.309931</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4100</th>\n",
       "      <td>77</td>\n",
       "      <td>41</td>\n",
       "      <td>Плата за получение наличных. Россия</td>\n",
       "      <td>0.305085</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2320</th>\n",
       "      <td>2539</td>\n",
       "      <td>1444</td>\n",
       "      <td>Безналичный перевод денежных средств через POS</td>\n",
       "      <td>0.274918</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            ж     м                                tr_type_description  \\\n",
       "tr_type                                                                  \n",
       "6210       39   377                    Возврат покупки.POS Зарубеж. ТУ   \n",
       "8100      107    15     Списание после проведения претензионной работы   \n",
       "1310      130   749                                                н/д   \n",
       "7075       58   332  Перевод с карты на карту в овердрафте через Мо...   \n",
       "7034      518   138  Перевод на карту/ с карты через АТМ (без взима...   \n",
       "1410      240   854                                                н/д   \n",
       "7035       52   119  Перевод на карту/ с карты через АТМ (со взиман...   \n",
       "6200     2183  1150                      Возврат  покупки. Зарубеж. ТУ   \n",
       "4100       77    41                Плата за получение наличных. Россия   \n",
       "2320     2539  1444     Безналичный перевод денежных средств через POS   \n",
       "\n",
       "                k  \n",
       "tr_type            \n",
       "6210     0.812500  \n",
       "8100     0.754098  \n",
       "1310     0.704209  \n",
       "7075     0.702564  \n",
       "7034     0.579268  \n",
       "1410     0.561243  \n",
       "7035     0.391813  \n",
       "6200     0.309931  \n",
       "4100     0.305085  \n",
       "2320     0.274918  "
      ]
     },
     "execution_count": 189,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Гендерные tr_types\n",
    "\n",
    "tmp = pd.merge(pd.crosstab(transactions.tr_type, transactions.gender).reset_index(), tr_types)\n",
    "tmp[:5]\n",
    "abs(tmp[0.0] - tmp[1.0])/(tmp[0.0] + tmp[1.0])\n",
    "tmp['k'] = (abs(tmp[0.0] - tmp[1.0])/(tmp[0.0] + tmp[1.0]))\n",
    "\n",
    "tmp = tmp[(tmp[0.0] + tmp[1.0]) > 50] # е. достаточно статистики\n",
    "\n",
    "\n",
    "tmp.sort('k',  ascending=False, inplace=True)\n",
    "#del tmp['gender']\n",
    "tmp.columns = [u'tr_type', u'ж', u'м', u'tr_type_description', u'k']\n",
    "tmp.set_index(tmp.tr_type, inplace=True)\n",
    "del tmp['tr_type']\n",
    "tmp[:10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 186,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0xd5b49c88>"
      ]
     },
     "execution_count": 186,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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ymTNnIjw8HMOHD7c4Ztu2bUhOTsb06dOh0+nsfDhcg61ylqP7EREREZWVUq3B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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xd4e47eb8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "p = tmp[:50].k.plot(kind='bar')\n",
    "p.set_ylabel(u'коэффициент различаемости')\n",
    "p.set_title(u'tr_type мужчин и женщин')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 214,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>mcc_code</th>\n",
       "      <th>amount</th>\n",
       "      <th>mcc_description</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>6011</td>\n",
       "      <td>1447370</td>\n",
       "      <td>Финансовые институты — снятие наличности автом...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>6010</td>\n",
       "      <td>1021046</td>\n",
       "      <td>Финансовые институты — снятие наличности вручную</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4814</td>\n",
       "      <td>987181</td>\n",
       "      <td>Звонки с использованием телефонов, считывающих...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>5411</td>\n",
       "      <td>961860</td>\n",
       "      <td>Бакалейные магазины, супермаркеты</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4829</td>\n",
       "      <td>624643</td>\n",
       "      <td>Денежные переводы</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>5499</td>\n",
       "      <td>336014</td>\n",
       "      <td>Различные продовольственные магазины — рынки, ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>5541</td>\n",
       "      <td>141825</td>\n",
       "      <td>Станции техобслуживания</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>5912</td>\n",
       "      <td>134031</td>\n",
       "      <td>Аптеки</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>5331</td>\n",
       "      <td>127890</td>\n",
       "      <td>Универсальные магазины</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>5812</td>\n",
       "      <td>106854</td>\n",
       "      <td>Места общественного питания, рестораны</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>5814</td>\n",
       "      <td>96839</td>\n",
       "      <td>Рестораны, закусочные</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>5921</td>\n",
       "      <td>58705</td>\n",
       "      <td>Магазины с продажей спиртных напитков на вынос...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>5999</td>\n",
       "      <td>54160</td>\n",
       "      <td>Плавательные бассейны — распродажа</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>5311</td>\n",
       "      <td>36081</td>\n",
       "      <td>Универмаги</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>5977</td>\n",
       "      <td>34863</td>\n",
       "      <td>Магазины косметики</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    mcc_code   amount                                    mcc_description\n",
       "0       6011  1447370  Финансовые институты — снятие наличности автом...\n",
       "1       6010  1021046   Финансовые институты — снятие наличности вручную\n",
       "2       4814   987181  Звонки с использованием телефонов, считывающих...\n",
       "3       5411   961860                  Бакалейные магазины, супермаркеты\n",
       "4       4829   624643                                  Денежные переводы\n",
       "5       5499   336014  Различные продовольственные магазины — рынки, ...\n",
       "6       5541   141825                            Станции техобслуживания\n",
       "7       5912   134031                                             Аптеки\n",
       "8       5331   127890                             Универсальные магазины\n",
       "9       5812   106854             Места общественного питания, рестораны\n",
       "10      5814    96839                              Рестораны, закусочные\n",
       "11      5921    58705  Магазины с продажей спиртных напитков на вынос...\n",
       "12      5999    54160                 Плавательные бассейны — распродажа\n",
       "13      5311    36081                                         Универмаги\n",
       "14      5977    34863                                 Магазины косметики"
      ]
     },
     "execution_count": 214,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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G/lDo1j5ub33w9Yaqqi7vY0zLQ1VVTWldGOj3U0rpHOAXafBragfyBHmSt/ECLCkYz7xb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      "text/plain": [
       "<matplotlib.figure.Figure at 0x2ce0b9b0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Популярные mcc_code\n",
    "\n",
    "tmp = transactions.groupby('mcc_code').amount.count()\n",
    "tmp.sort(ascending=False)\n",
    "figsize(15, 5)\n",
    "tmp[:50].plot(kind='bar') ##### 50!\n",
    "# plt.bar(np.arange(len(f)), f) f = tmp.values\n",
    "plt.xlabel('mcc_code')\n",
    "plt.ylabel('count')\n",
    "plt.title('Число транзакций с разными mcc_code (выведены первые 50)')\n",
    "pd.merge(tmp[:15].reset_index(), tr_mcc_codes)\n",
    "#plt.plot(np.sort(tmp.amount.sum().values))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": false
   },
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 187,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ж</th>\n",
       "      <th>м</th>\n",
       "      <th>mcc_description</th>\n",
       "      <th>k</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mcc_code</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>5967</th>\n",
       "      <td>5</td>\n",
       "      <td>289</td>\n",
       "      <td>Прямой маркетинг — входящий телемаркетинг</td>\n",
       "      <td>0.965986</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5931</th>\n",
       "      <td>335</td>\n",
       "      <td>39</td>\n",
       "      <td>Магазины second hand, магазины б/у товаров, ко...</td>\n",
       "      <td>0.791444</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7995</th>\n",
       "      <td>2431</td>\n",
       "      <td>15650</td>\n",
       "      <td>Транзакции по азартным играм</td>\n",
       "      <td>0.731099</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7994</th>\n",
       "      <td>1164</td>\n",
       "      <td>7404</td>\n",
       "      <td>Галереи/учреждения видеоигр</td>\n",
       "      <td>0.728291</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6211</th>\n",
       "      <td>133</td>\n",
       "      <td>776</td>\n",
       "      <td>Ценные бумаги: брокеры/дилеры</td>\n",
       "      <td>0.707371</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7512</th>\n",
       "      <td>22</td>\n",
       "      <td>123</td>\n",
       "      <td>Прокат автомобилей</td>\n",
       "      <td>0.696552</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5965</th>\n",
       "      <td>106</td>\n",
       "      <td>19</td>\n",
       "      <td>Прямой маркетинг — комбинированный каталог и т...</td>\n",
       "      <td>0.696000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7993</th>\n",
       "      <td>106</td>\n",
       "      <td>591</td>\n",
       "      <td>Принадлежности для видеоигр</td>\n",
       "      <td>0.695839</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5013</th>\n",
       "      <td>61</td>\n",
       "      <td>315</td>\n",
       "      <td>Поставщики грузовиков и запчастей</td>\n",
       "      <td>0.675532</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5532</th>\n",
       "      <td>89</td>\n",
       "      <td>439</td>\n",
       "      <td>Автошины</td>\n",
       "      <td>0.662879</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             ж      м                                    mcc_description  \\\n",
       "mcc_code                                                                   \n",
       "5967         5    289          Прямой маркетинг — входящий телемаркетинг   \n",
       "5931       335     39  Магазины second hand, магазины б/у товаров, ко...   \n",
       "7995      2431  15650                       Транзакции по азартным играм   \n",
       "7994      1164   7404                        Галереи/учреждения видеоигр   \n",
       "6211       133    776                      Ценные бумаги: брокеры/дилеры   \n",
       "7512        22    123                                 Прокат автомобилей   \n",
       "5965       106     19  Прямой маркетинг — комбинированный каталог и т...   \n",
       "7993       106    591                        Принадлежности для видеоигр   \n",
       "5013        61    315                  Поставщики грузовиков и запчастей   \n",
       "5532        89    439                                           Автошины   \n",
       "\n",
       "                 k  \n",
       "mcc_code            \n",
       "5967      0.965986  \n",
       "5931      0.791444  \n",
       "7995      0.731099  \n",
       "7994      0.728291  \n",
       "6211      0.707371  \n",
       "7512      0.696552  \n",
       "5965      0.696000  \n",
       "7993      0.695839  \n",
       "5013      0.675532  \n",
       "5532      0.662879  "
      ]
     },
     "execution_count": 187,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# гендерные mcc_code\n",
    "tmp = pd.merge(pd.crosstab(transactions.mcc_code, transactions.gender).reset_index(), tr_mcc_codes)\n",
    "tmp[:5]\n",
    "abs(tmp[0.0] - tmp[1.0])/(tmp[0.0] + tmp[1.0])\n",
    "tmp['k'] = (abs(tmp[0.0] - tmp[1.0])/(tmp[0.0] + tmp[1.0]))\n",
    "\n",
    "tmp.sort('k',  ascending=False, inplace=True)\n",
    "#del tmp['gender']\n",
    "tmp.columns = [u'mcc_code', u'ж', u'м', u'mcc_description', u'k']\n",
    "tmp.set_index(tmp.mcc_code, inplace=True)\n",
    "del tmp['mcc_code']\n",
    "tmp[:10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 182,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0xd4e47748>"
      ]
     },
     "execution_count": 182,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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fXlJSkqgcYsZJNcZSa8k9n5S1mM98ask9n5S15J5PylpyzydlLeYzn1pyzydlLbH5JJtg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\nPhagrjrYAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xd4a03f98>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "p = tmp[:50].k.plot(kind='bar')\n",
    "p.set_ylabel(u'коэффициент различаемости')\n",
    "p.set_title(u'mmc_code мужчин и женщин')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x459c1cf8>"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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h4YHmzZvj7NmzuH79uuweu3btkl2Tnj4Pbj9K9R/zFA8zFQvzFAvzFAvzFA8z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\nrkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x458217f0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "figsize(12,5)\n",
    "# там есть 60!\n",
    "plt.hist(transactions[transactions.amount.abs()<70].amount.values, bins=(69*2+1), color='#770000', label=u'все', alpha=0.3, width=0.8) # , histtype='stepfilled', normed=True,\n",
    "plt.hist(transactions[transactions.amount.abs()<70][transactions.gender==0].amount.values, bins=(69*2+1), color='#007700', label=u'ж', alpha=0.6, width=0.7)\n",
    "plt.hist(transactions[transactions.amount.abs()<70][transactions.gender==1].amount.values, bins=(69*2+1), color='#000077', label=u'м', alpha=1.0, width=0.6)\n",
    "plt.xlabel('сумма')\n",
    "plt.ylabel('число транзакций')\n",
    "plt.title(u'Распределение сумм транзакций')\n",
    "plt.legend()\n",
    "#plt.xlim([0, 24])\n",
    "#transactions.amount.value_counts()[:5]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 239,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "tmp = transactions.amount.values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 271,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x37f4fa90>"
      ]
     },
     "execution_count": 271,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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WUJIkSZKmsuFa2l4P3BZjfB9wDvB04FzgrcBh5c/hTVdQUv9w3ILUZjxImbEg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\nRCVFjQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x37af1470>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "p = transactions[transactions.amount.abs()<1000].amount.hist(bins=200)\n",
    "p.set_xlabel('сумма')\n",
    "p.set_ylabel('число транзакций')\n",
    "p.set_title('Распределение сумм транзакций (небольшие суммы)')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 264,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x34e0ba20>"
      ]
     },
     "execution_count": 264,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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zScBlwHxgZ2A/4LXA2aN7uyIiIiIiIp31pBHm7qe5+6fcfcDd73L3rwN3ANuY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\nJElSF1mESZIkSVIX/T8CU/r1wxY1bgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x34a45438>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "p = transactions[transactions.amount.abs()<1000].amount.apply(lambda x: np.log(np.abs(x))).hist(bins=100)\n",
    "p.set_xlabel('сумма')\n",
    "p.set_ylabel('число транзакций')\n",
    "p.set_title('Распределение сумм транзакций (небольшие суммы)')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1     1199319\n",
       "2      663760\n",
       "3      362440\n",
       "4      201677\n",
       "5      109856\n",
       "6       62705\n",
       "7       35667\n",
       "8       21291\n",
       "9       12638\n",
       "10       8564\n",
       "Name: amount, dtype: int64"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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8+PHIzMzE5MmTtY5Z6l9NFQoFxo4dqynPzMzEtm3bYGFhgbZt2+YrllWrVmHa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\nnOa3b99e48aN06pVq/TUU085Gi1fffWViouLNXHiRIWGhrr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4OFhbt25VeXm54zM+Po3f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FIpunfvDolEgm+//VZjv2nTpsHGxgYRERHIzs7Gli1bcPz4cfTo0QNFRUXIzs6Gq6srIiIiVM4L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\ngg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x48cd1e10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "tmp = transactions.groupby(['num_day', 'customer_id']).amount.count()\n",
    "p = tmp[tmp<=30].hist(bins=30)\n",
    "p.set_xlabel('число транзакций в день')\n",
    "p.set_ylabel('число таких случаев (пар \"клиент, день\")')\n",
    "p.set_title('Встречаемость определённого количества транзакций в день')\n",
    "tmp.value_counts()[:10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(0, 30)"
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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MnTsXX3/9NVq3bi0aa4P3zTffgOM4+Pv74+TJkyrT7927hxUrVgh/jxkzBowx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\nNGmiPXv26IcfflDr1q118803n88fAQAAAAAAfsf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BTmGgmFuUZCYa6RqdOr0PGgkclkWL16Nezs7PDQQw8hNDQUpaWlSEtLw7p163D69Gm8//77Wv1n\nz56NW7duITg4GN7e3sjPz8eePXuQkZGBxYsXw9nZWWuOVatWYc+ePfD29kZERAQUCgWOHz+OTz/9\nFG+//TYeffRRrf6nT5/Gp59+CisrK4SGhsLR0RHnzp1DXFwcsrOzdTb4qaiowMcff4zLly+jS5cu\n6NWrF27evImjR48iIyMDCxcuhK+vr9Y5v/32G2JjY+Hu7q4pbKSlpWH58uW4efMmRo4cachvM5FB\nzJo1y9ghkIVgrpFQmGskFOYaCYW5RqZO70KHQqGAXC6vs4+jo6O+wzeKjY0NJk+ejMjISEgkEk27\nTCbDrFmzcPToUWRmZqJbt24AgNjYWEilUkybNg2RkZGa/rt27UJMTAy2bNmCl19+WdN+/vx57Nmz\nB926dcPs2bM1qzGkUin+9a9/Ye3atQgNDdWaOyYmBmKxGAsXLoS/v7+m/dtvv8WBAwdw+PBhPPLI\nI5r2hIQEXL58GaNGjdLaAyU9PR2LFy/GL7/8gg8++EDTXlRUhPj4ePj5+WHhwoWwt7cHcHdVyIcf\nfoi4uDgMGDAA7u7uTf7+EhlSbSugiAyNuUZCYa6RUJhrJBTmGpk6vV4vCwC//PILXn755Tr/CMXJ\nyQmPP/64VqEBAFxcXNC3b18AwMWLFwEAKpUKhw4dgpeXl1aRAwCGDBkCDw8PHDx4ECqVStOempoK\nAIiKitJ65MTd3R1Dhw5FSUkJ0tPTNe0XL17EtWvX0K9fP60iB/C/jVyrx6y2b98+2NnZ4dlnn9Vq\n79mzJ7p06YKTJ0+itLRU037w4EEolUqMHDlSU+QAAAcHBzz99NNQKpU4ePBgXd82IiIiIiIiIrOj\n94qOkJAQdOjQwZCxNAulUgkAaNGiBQDg6tWrKCsrQ0hISI39AwMDcfDgQVy7dg1+fn4A7u61IRaL\n0bFjR53+nTt3BgBkZ2ejT58+mr8DQKdOnXT6e3l5wdXVFefPn9e0lZeXIy8vD4GBgTrFmuo5zp49\niwsXLmjivnDhgibe2mK6dw4iIiIiIiIiS6B3oSM0NBSDBw82ZCwGp1QqceLECQD/+/B/48YNANDZ\ng6Oam5ubpl91oePGjRuwtbWtcQPRe/tXq/67k5NTrXPk5ORAoVDA1ta23v7Vj580dI6a+hM9KNav\nX4+JEycaOwyyAMw1EgpzjYTCXCOhMNfI1On96IopiIuLg1QqRVhYmKZocefOHQCAnZ1djefY2tpq\n9av+e2P6l5eXN2qO+vpXr/K4P6bazqmpP9GDIiMjw9ghkIVgrpFQmGskFOYaCYW5RqZOr0JHUFCQ\nZiXDg2r37t3Yvn07vL29MXXqVJ3j979utpparQYAiEQirTYrK6tG9QdQ7zkN7V+Xus65NyaiB8XS\npUuNHQJZCOYaCYW5RkJhrpFQmGtk6vQqdMybNw+9e/c2dCwGs3v3bqxevRpeXl746KOP4ODgoDlW\nvQKioqKixnOr2+9dKWFvb9/o/nXNoVAotM5pbP/6rqOm/g3x2Wef6bRNmTIFf/75p1bbnj17MH78\neJ2+M2fOxPr167XaTp48ifHjx+PmzZta7YsXL8ayZcsaFV9D5BcUIOtMlk57dHS0znUYQmVlJS5d\nvqzVVlRUhGXLlmn2aqn2n//8B7/++qtWm0KhwBdffIGz585ptR88eBA//PCDznzLli3D0aNHtdoy\nMjK0vpflMhlkubn4btEi/HvDBshyczV/Tu7bhwXvvYe8rCyt9nXffouNP/yg1XYxLQ0L3nsPZ44c\n0WqPX7sWK7/+WiuGsrIyjB8/HocPH9Zqj4+PxxtvvKFzHULmVV5eHsaPH6/z81i1ahU++ugjXgev\ng9fB6+B18Dp4HbwOXgevg9dhhOvYuHGjzhiGIlLfv7zAxP3222+IjY1F27ZtMXv2bJ2VJ7m5uZg5\ncybCwsLwzjvv6Jz/zTff4NChQ/jyyy81j7vMmjULubm5WLduneaxk2rVr38dMWIEJkyYAAD466+/\nsG7dOkRHR2PIkCE6c0ydOhUqlQoxMTEA7j5i8tJLL6Fjx45YtGiRTv+NGzdi+/btmDVrFnr16gUA\n+OKLL3D06FF8/fXX8PX11ep/7do1vPvuu+jbty9mzJhR7/espKQER48eRZcuXbSKQkIouinD5Jf+\nxIEDV5o81vadw7EubT4AYGLIJPgV2QAAXPz94RkUpOmXmXUVA/tvaPJ8988Z3SsanoV32z2DguDy\n3zfuyHJzUZilW3wxJGPOR0RERERE1FhlZWU4e/YsHn744Vr30NSX2ezRoVKpsGrVKsTGxqJ79+6Y\nP39+jY/XtG7dGvb29siq5YPg+fPn4eDgoFU86NSpE1QqVY3nnPvvb+LvfSNL9dtWMjMzdfrfuHED\nMplMq7+9vT1at26NixcvavbruH8OkUik9Zab6ret1DTH2bNnteIgIiIiIiIishRmUegoKyvDokWL\nkJSUhKFDh2LOnDmax0HuZ2VlhbCwMMhkMuzdu1fr2O7du1FUVISwsDCtPTwGDBgAAPjjjz9QVVWl\naZdKpdi1axccHR3Rs2dPTXvHjh3h4+ODEydOIC8vT2uOzZs3a41ZrX///lCpVNixY4dWe3p6Os6e\nPYvu3bvDxcVF0x4WFgYrKyskJiZqFUfKysrw73//G9bW1ggLC6v1e0ZkLDUtcyNqDsw1EgpzjYTC\nXCOhMNfI1On9etkHSUJCAjIzM+Hp6QmJRKKzD0K10aNHw8HBAWPGjEF6ejp+/PFHHD58GK1atUJ+\nfj7S09PRsmVLjBkzRuu8zp07IyIiAnv37sX777+Prl27oqKiAsePH4dcLscbb7yhsx9GdHQ0Pv30\nU3z44YcIDQ1FixYtkJ2djZycHPTo0QP9+vXT6j98+HAcPHgQ8fHxOHPmDPz9/SGVSnHixAk4ODjg\nxRdf1Orv6emJZ599Flu2bMGMGTM0hZa0tDRIpVKMHTsWHh4eTf3WEhlcdHS0sUMgC8FcI6Ew10go\nzDUSCnONTJ1ZFDqqtxkpLCzEH3/8UWu/J554Ag4ODnBzc8OiRYsQFxeH9PR0nDp1Ck5OToiMjERU\nVBRcXV11zn311VfRtm1bJCcnIyUlBVZWVggICMDTTz+ttZqjWrdu3TB//nzEx8cjLS0NCoUCXl5e\niIqKwsiRI3X629nZYcGCBdiyZQuOHj2K7OxsODg44OGHH8aYMWN09uEAgOeeew5eXl5ITEzE/v37\nIRKJ4Ofnh/Hjx+usGCF6UERGRho7BLIQzDUSCnONhMJcI6Ew18jUNanQoVKpcOnSJRQUFAAAvLy8\n0L59+1pf3dpcoqKiEBUV1ahz3N3d8eqrrza4v0gkwvDhwzF8+PAGn9OpUyd88MEHDe7v4OCASZMm\nYdKkSQ0+Z+DAgRg4cGCD+xMRERERERGZM70LHX///TfWrVun85oYd3d3vPTSS+jbt2+TgyMiIiIi\nIiIiagy9ll6kpaXhq6++gpOTE6ZOnYq5c+di7ty5ePnll9GiRQt8/fXXSEtLM3SsRGQG7n8PN1Fz\nYa6RUJhrJBTmGgmFuUamTq9Cx9atW9G+fXt8+umneOyxx9CtWzd069YNQ4cOxeLFi+Hv74+tW7ca\nOlYiMgPx8fHGDoEsBHONhMJcI6Ew10gozDUydXoVOi5fvoy+ffvCyspK55iNjQ3CwsJw+fLlJgdH\nROZnzZo1xg6BLARzjYTCXCOhMNdIKMw1MnV6FTpsbW0hl8trPS6Xy2Fra6t3UERERERERERE+tCr\n0BEcHIykpCRcvHhR59iFCxewe/duBAcHNzk4IiIiIiIiIqLG0OutKxMmTMCZM2cwe/ZsdO7cGd7e\n3lCr1cjPz0d2djbc3d3xwgsvGDpWIiIiIiIiIqI66bWiw93dHUuXLsWIESNQWlqKAwcO4ODBg5DL\n5RgxYgQ+//xztGzZ0tCxEpEZeOONN4wdAlkI5hoJhblGQmGukVCYa2Tq9FrRAQCOjo6YMGECJkyY\nYMh4iMjMRUZGGjsEshDMNRIKc42EwlwjoTDXyNTpXeggooYpFpej0NPw47qIHSEpqH1T4AfV6NGj\njR0CWQjmGgmFuUZCYa6RUJhrZOr0KnSsXLmy3j4ikQivvfaaPsMTmRVpxS3EnIgx+LjRvaLRDPUT\nIiIiIiIik6ZXoSMlJQXW1tawsrKqtQ8LHUREREREREQkNL0fXZk8eTIGDx5syFiIyAIcPnwYjzzy\niLHDIAvAXCOhMNdIKMw1EgpzjUwd9+ggamZOYj+8FDLPIGMpxaXYcPwrg4xlLN9++y3/x0mCYK6R\nUJhrJBTmGgmFuUamjoUOomZWXgaMHJpgkLG27xxukHGMKSbG8PuVENWEuUZCYa6RUJhrJBTmGpk6\nvQsdKSkpyM7OBgBYWVlBIpHA3d0dHTp0QNeuXSESiQwWJBGZDwcHB2OHQBaCuUZCYa6RUJhrJBTm\nGpk6vQodDz30EEQiEQoLCwEAFRUVKC8vR0FBASorK9G6dWu888478Pf3N2iwRERERERERER10avQ\n8fHHH9fYrlKpkJmZiZiYGCxfvhxLly5tSmxERERERERERI0iNuhgYjF69OiB4cOHIy8vz5BDE5GZ\n+Oijj4wdAlkI5hoJhblGQmGukVCYa2Tq9FrRUVFRgevXr8PZ2Rlubm5ax8rKyhAaGspXzxJRjfz8\n/IwdAlkI5hoJhblGQmGukVCYa2Tq9FrR8eeff+KDDz7ArVu3dI4VFRVh+vTpSEgwzFsmiMi8TJ06\n1dghkIVgrpFQmGskFOYaCYW5RqZOr0LHkSNH0Lt3bwQEBOgc8/f3R2hoKA4cONDk4IiIiIiIiIiI\nGkOvR1euXbuGAQMG1Hq8c+fOOHnypN5BEZHpKJfJoJDJmnUOWxcX2Lm4NOscRERERERkHvQqdNjY\n2KC4uLjW4zKZDFZWVnoHRUSmQyGToTArq8H9r169itatWzdqDs+gIBY6qNGys7MRGBho7DDIAjDX\nSCjMNRIKc41MnV6PrnTt2hUpKSmQSqU6x4qLi5GamorOnTs3OTgiMj+bNm0ydghkIWp7FTqRoTHX\nSCjMNRIKc41MnV4rOsaNG4c5c+bgvffew6BBg9CmTRuIRCLk5eUhOTkZCoUCY8aMMXSsRGQGXnrp\nJWOHQBbi888/N3YIZCGYayQU5hoJhblGpk6vQoevry8++eQTrFmzBn/++afWsY4dO2LSpEk1blRK\nROTh4WHsEMhC8NV4JBTmGgmFuUZCYa6RqdOr0AEAbdq0wbx581BaWoqCggIAgKenJ1z4HD0RERER\nERERGYnehY5qTk5OcHJyMkQsRERERERERERNotdmpEeOHGnQHyKi++3YscPYIZCFWLZsmbFDIAvB\nXCOhMNdIKMw1MnV6rej46quvGtQvNjZWn+GJyIwpFApjh0AWoqyszNghkIVgrpFQmGskFOYamTq9\nCh1jxozBtm3bYG9vj+effx7e3t6GjouI9FQsLkehp+HHdRE7QlIgb/I4UVFRBoiGqH6zZ882dghk\nIZhrJBTmGgmFuUamTq9Cx+jRo9GvXz+sXr0aa9aswbPPPouRI0fCysrK0PERUSNVKltAqW5tkLGU\n4lJsOH53BVd0r2g0Q/2EiIiIiIjIoPTejNTb2xtz585Famoq1q9fj/3792Pq1Kno0qWLIeMjokYq\nLwNGDk0wyFjbdw43yDhERERERERC0Wsz0nsNHDgQ33zzDQIDAzF//nz88MMPkMubvrydiMxTSUmJ\nsUMgC3Hz5k1jh0AWgrlGQmGukVCYa2Tq9Cp0XLx4UetPQUEBhg4digkTJuDQoUN49913kZqaauhY\nicgMrFq1ytghkIWYPn26sUMgC8FcI6Ew10gozDUydXo9ulLf5jTl5eVYsWIFBg4cqFdQRGS+Ro8e\nbewQyELMmjXL2CGQhWCukVCYayQU5hqZOr0KHa+99pqh4yAiC9G+ffsmnV8uk0EhkxkomprZurjA\nzsWlWeeg5hccHGzsEMhCMNdIKMw1EgpzjUydXoWOiIgIA4dBRNQwCpkMhVlZzVXWX/MAAB3nSURB\nVDqHZ1AQCx1ERERERCaqyZuREhERERERERE9KPRa0bFmzZp6+4hEIkyePFmf4YnIjCUnJ2PQoEHG\nDoMswPr16zFx4kRjh0EWgLlGQmGukVCYa2Tq9Cp0JCYmNqgfCx1EdL9Lly4ZOwSyEBkZGcYOgSwE\nc42EwlwjoTDXyNTpVeiIjY3V+jolJQWbNm3CDz/8YJCgiMh8sQBKQlm6dKmxQyALwVwjoTDXSCjM\nNTJ1Btmjo127drh16xby8/MNMRwRERERERERkV70WtFxP3t7ewDAzZs34e3tbYghichEFMMOd1oH\nGWQsW3s1bsrOAABcxI6QFMgNMi4REREREVkOgxQ6Tp06BeB/BQ8ishyl8kqEh28yyFjbdw7HurQY\nAEB0r2h4GmRUIiIiIiKyJHoVOpYsWQIAUKvVKC0txT///AMPDw/4+/sbNDgiImMrl8mgkMmadQ5b\nFxfYubg06xyWaPz48di4caOxwyALwFwjoTDXSCjMNTJ1ehU6cnNzNX+3sbFBaGgoxo0bB2trgywQ\nISJ6YChkMhRmZTXrHJ5BQSx0NIPo6Ghjh0AWgrlGQmGukVCYa2Tq9KpMrFixwtBxEBERGVRkZKSx\nQyALwVwjoTDXSCjMNTJ1XIJBRCblttoBFd6G2fzUQaKGMveMQcYiIiIiIqIHAwsdJi49PR3bt29H\nTk4Oqqqq4OPjg8jISAwbNgwikcjY4REZXHFZJfpHGmbz05SU5yH/746nfMsLEREREZF5YKHDhO3f\nvx/Lly+Ho6Mj+vTpA1tbW2RkZGDt2rXIy8vjs3VkllRqlcHGKlbIHsi3vDT3BqiWsvnpn3/+iSef\nfNLYYZAFYK6RUJhrJBTmGpk6FjpMlEKhwNq1a+Hi4oIlS5bAzc0NAKBUKrFw4ULs2rULgwYNQocO\nHYwcKRE1VnNvgGopm5/Gx8fzH2kkCOYaCYW5RkJhrpGpY6HDRKWlpUEul2PMmDGaIgcAWFtb47nn\nnsMnn3yC1NRUFjqImqgYdrjT2jB7gtjaq3FTdndPED4q0/zWrFlj7BDIQjDXSCjMNRIKc41MHQsd\nJur8+fMAgE6dOukcCwwM1OpDRPorlVciPNwwe4Js3zmcj8oQERERETUzFjpM1I0bNwAAzs7OOsck\nEgkcHR01fYjItBhqFUlDV5AI/ahMcxdWABZXiIiIiCwZCx0mqry8HABgZ2dX43GJRIKSkhIhQyIi\nAzHUKpKGriAxt8IKYNx9SIQu5LBwRERERKSNhQ4TpVarAQBisbjJY1VVVQH4X/FESMqqCsyd1xcy\nWXCTx/J2d8a43pMBAJ5OPrCT3E1vtb09ysrKNP1Uqkp07OjU5PkAQAw1POxbAQBEsEbVf/+LUiiV\nmjk5H+drzHyGnLOh88lKyhD9ckKT5/t6ZX/sOPtvAMCoh0bBzdq6xvmKlGKU+QY2eT4bWzVk8hwA\ngKPIHjbSO5pjCqUSH330ET744IMmz9NY12+W4rZcaZCxartGt4AAqGxsjDJffkEx5LcrDDKfrR1w\nW1UAAHCxcYaT2vZuHI6OsHV0NMp8CrkclfLG7Z+z7fffMeqZZxrcv6nzNZYx5xNiTnOf7945P/vs\nM6Pc18jyMNdICNWfP6s/jxqSSF39iZlMyhdffIGjR4/iyy+/hJ+fn87xKVOmQCQS4aeffqp3rOvX\nryOrmX+7SkRERERERHS/oKAg+Pj4GHRMrugwUV5eXgCAoqIinUJHRUUFbt++jYCAgAaN1bJlSwQF\nBcHe3t4gK0SIiIiIiIiI6qJSqXDnzh20bNnS4GOz0GGiqt+2kpmZiZ49e2ody87O1upTH4lEYvAK\nGhEREREREVFdXF1dm2Vc/vreRIWEhKBFixZITU1FcXGxpl2pVCI+Ph4A0L9/f2OFR0RERERERGQU\n3KPDhKWkpGDlypVwcnJC7969YWNjg8zMTFy/fh2DBg3Cq6++auwQiYiIiIiIiATFQoeJS0tLw44d\nO5CTk4Oqqir4+PggMjISw4YNg0gkMnZ4RERERERERIJioYOIiIiIiIiIzAb36CAiIiIiIiIis8FC\nBxERERERERGZDRY6iIiIiIiIiMhsWBs7ADKe9PR0bN++nRuZUrNauXIlUlJSaj3u6uqKH3/8UcCI\nyJzs27cP3333HV5//XWEh4fX2Ke4uBibN2/GyZMnIZPJ4OzsjJCQEIwdO7bZ3t1O5qe+XMvKysL8\n+fPrHGPOnDkIDg5urhDJRFVVVSE5ORnp6enIyclBcXExrKys4Ovri/DwcAwbNgxisfbvJnlfI300\nNtd4X6OmOHbsGA4fPowLFy6gqKgIKpUKbm5uCAkJwfDhw+Hr66vV39D3NRY6LNT+/fuxfPlyODo6\nok+fPrC1tUVGRgbWrl2LvLw8REdHGztEMjP9+/eHm5ubTruDg4MRoiFT9s8//yA5ORkFBQU4depU\nnX1lMhlmz56NW7duITg4GN7e3sjPz8eePXuQkZGBxYsXw9nZWaDIydQ0JteqtWvXDt27d6/xmJeX\nlyHDIzMhk8mwevVq2NnZ4aGHHkJoaChKS0uRlpaGdevW4fTp03j//fe1+vO+RvpobK5V432N9PH9\n999DqVSiS5cu6NGjB9RqNS5duoRdu3YhJSUFixYtgr+/P4Dmua+x0GGBFAoF1q5dCxcXFyxZskTz\n4VOpVGLhwoXYtWsXBg0ahA4dOhg5UjInTzzxBDp27GjsMMgMXLlyBbt27WpQ39jYWEilUkybNg2R\nkZGa9l27diEmJgZbtmzByy+/3FyhkolrTK5V69SpEyZMmNBMEZE5srGxweTJkxEZGQmJRKJpl8lk\nmDVrFo4ePYrMzEx069YNAO9rpL/G5lo13tdIH6+88gpCQkJga2ur1R4bG4vffvsNycnJmDRpkqbN\n0Pc17tFhgdLS0iCXyzFs2DCt37BbW1vjueeeAwCkpqYaKzwiojpFREQgNjYWsbGxeP7552vtp1Kp\ncOjQIXh5eWn9TxMAhgwZAg8PDxw8eBAqlaq5QyYT1dBcI2oKJycnPP7441ofPAHAxcUFffv2BQBc\nvHgRAO9r1DSNyTWipnrkkUd0ihwANI+suLi4AGi++xoLHRbo/PnzAO5WZ+8XGBio1YeIyFRdvXoV\nZWVlNd7rgLv3O7lcjmvXrgkcGRFRwyiVSgBAixYtAPC+Rs3n/lwjMiS1Wo2SkhIcOHAAGzZsQLt2\n7fD4448DaL77Gh9dsUA3btwAgBqfc5JIJHB0dNT0ITKUefPmQalUwsbGBp6enujZsyeefvrpGvft\nIDKEuu51ADS5d+PGDfj5+QkWF5m3PXv2YNeuXRCLxXB2dkaHDh3wxBNP1Pp8O1FtlEolTpw4AQDo\n3LkzAN7XqHnUlGv34n2NmqK4uBjTpk0DAIjFYkRFReHpp5+GtfXdUkRz3ddY6LBA5eXlAAA7O7sa\nj0skEpSUlAgZEpmx6t2VXV1dYWdnh+LiYmRlZSEhIQEHDhzAwoULuZEVNYs7d+4AqP1eV72csrof\nUVNIJBJ07twZXl5ecHR0xJ07d3DlyhUcP34cx48fx+TJkzW/vSJqiLi4OEilUoSFhWn+cc/7GjWH\nmnIN4H2NDMPOzg4jRoyAXC7HuXPnNPk2ZcoUiMXiZruvsdBhgdRqNQDovKqMqDnU9Fx7VVUVfvrp\nJyQlJWHjxo145513jBAZWYra7nXV90K+TpsMoWPHjliwYIFOe0ZGBpYsWYINGzZg4MCBfNMUNcju\n3buxfft2eHt7Y+rUqTrHeV8jQ6kr13hfI0Ows7PT2sw2JiYGu3btgrOzM8aMGaNpN/R9jZ90LVB1\ntayioqLG4wqFotaKGpEhWFlZYfLkyZBIJMjMzDR2OGSm6rvXVbfzfkfNqUePHujfvz8qKytx9uxZ\nY4dDJmD37t1YvXo1vLy88NFHH2l9iOR9jQyprlyrC+9r1BTVL79ISkoC0Hz3Na7osEDVjwkUFRXp\nPOdUUVGB27dvIyAgwBihkQWxsbGBRCLRPEpFZGj33utqIpVKtfoRNRdHR0cA4P2O6vXbb78hNjYW\nbdu2xezZs3X2seJ9jQylvlyrD+9rpC8nJycAgFwuB9B89zUWOixQ9Y62mZmZ6Nmzp9ax7OxsrT5E\nzaWoqAhyuRxt27Y1dihkplq3bg17e3tkZWXVePz8+fNwcHDQvOaMqLnk5OQAAHONaqVSqRATE4Ok\npCR0794d7733Huzt7XX68b5GTdXQXKsP72ukr+rcqS5cNNd9jY+uWKCQkBC0aNECqampKC4u1rQr\nlUrEx8cDAPr372+s8MiMXL58GYmJiTpL0ZRKJWJiYgAAERERRoiMLIGVlRXCwsIgk8mwd+9erWO7\nd+9GUVERwsLCuF8RGURcXFyNbyzbv38/Tp8+jXbt2qFdu3bCB0YPvLKyMixatAhJSUkYOnQo5syZ\nU+sHT97XqCkak2sA72ukv2PHjuGvv/7S+QxQVlaGNWvWAPjfZ4Dmuq9xRYcFsrOzw6RJk7By5Uq8\n//776N27N2xsbJCZmYnr169j0KBBCAwMNHaYZAZu376NNWvWYNOmTXjooYfg6emJ27dvIysrC1Kp\nFL169eJu3dRoeXl5SEtLAwDNs8FpaWmat0X169cP7u7uAIAxY8YgPT0dP/74Iw4fPoxWrVohPz8f\n6enpaNmypdYmWET3a0yupaSkID4+Hh06dEC7du0gEomQm5uL7OxsODs748033zTORdADLyEhAZmZ\nmfD09IREIsGvv/5aY7/Ro0fDwcGB9zXSW2Nzjfc10pdcLse6desQGxur+QxQXFyM06dPQy6Xo0eP\nHnjqqac0/ZvjviZSV29jShYnLS0NO3bsQE5ODqqqquDj44PIyEgMGzaMu3WTQdy+fRuJiYnIzMxE\nYWEhiouLIRaL0aZNG0REROCxxx5jrlGj7d27F99//32tx+fNm4egoCDN11KpFHFxcUhPT0dpaSmc\nnJwQEhKCqKgozYdUopo0JteOHDmCQ4cO4cqVK7h16xYUCgXc3d3Rq1cvPPPMM41+/p0sx5YtW7B1\n69Z6+61YsQIeHh4AeF8j/TQ213hfI32VlJQgJSUFp06dQm5uLkpLS2FtbQ0/Pz8MHDgQQ4YM0Vmh\nYej7GgsdRERERERERGQ2+AAfEREREREREZkNFjqIiIiIiIiIyGyw0EFEREREREREZoOFDiIiIiIi\nIiIyGyx0EBEREREREZHZYKGDiIiIiIiIiMwGCx1EREREREREZDZY6CAiIiIiIiIis8FCBxERERER\nERGZDRY6iIiIiIiIiMhssNBBREREZKb279+Pw4cPa74+deoUEhMTjRgRERFR87M2dgBERERE1Dyy\ns7Px999/o2XLlpBIJFi/fj08PDwwbNgwY4dGRETUbERqtVpt7CCIiIiIyPBu3ryJBQsWID8/HwDg\n6uqKDz/8EP7+/kaOjIiIqPmw0EFERERkxpRKJS5fvoyqqiq0bdsWtra2xg6JiIioWbHQQURE9IB5\n44034O/vj1mzZmm1jx07FsOGDcOUKVMAAHv37sX333+PxYsXIyAgQNMvPj4ecXFxmDFjBvr27atp\nv3btGjZv3ozTp0+jsrISvr6+6Nu3L5588klIJBIAwMcff4wzZ87oxBQeHo7XX39d87VUKsWGDRtw\n8uRJKBQKtG3bFs899xxCQkLqvLb58+cjKyur1uOvv/46wsPDMXbsWAwZMgRt2rTBf/7zH9y4cQOt\nWrXC+PHjERoaqumflZWFzZs3o6CgAKWlpbC1tUVQUBCioqLQrl07Tb8VK1bgyJEj+OWXX7Tm++mn\nn7Bz507ExsYCuLuHxfbt23HlyhXI5XK4uLigZ8+eGD9+PBwdHQEAMpkMK1aswNWrVyGTySASidC2\nbVs8/fTT6NOnj1Zs8+fP1/o5ZGZm4ueff8bVq1fx5ptv4tFHH63151hTe23X8cknnyAzMxM//fST\nJs6a8uj27dt455134OLigi+++KLOn1V1/Peyt7dHjx49EB0dDWdn5zrPB+4WWV544QWd9l69eunk\nd0JCAnbv3o2CggK0aNECffr0wYQJE2BnZwcAKCwsxJtvvomJEyfiqaee0pxXWlqK6OhoREVF4bnn\nngMAxMXFIT4+Xuv7QUREloN7dBAREZmR/Px8bNu2Taf9ypUrmDt3LiQSCSIjI+Hq6oozZ84gLi4O\nvXr1Qtu2bQEAIpEIgYGBCA8P15y7du1arbHkcjk+/PBDlJeX47HHHoOjoyOOHDmCJUuWYMaMGVof\n9u/31FNPoV+/fgCAY8eOIS0tDS+++KJmlUFgYKCmb1JSEtzc3BAREQFra2ukpKTgq6++wqJFi9C+\nfXsAd4sOrq6u6NGjB5ycnHD79m3s27cP8+bNw7Jly+Dq6qq5LpFIpBPP/W3nzp1DVVUVBg4ciJYt\nW6KgoAA7d+7ExYsX8dlnnwEAFAoF1Go1BgwYABcXF1RVVSE9PR1ffvklZs2ahV69etV47cXFxVi6\ndClatWqFF198ER07dqz1+1Sbmq4jNTUVmZmZDTp//fr1KCkpgYuLS4PnHDx4sOb7nZubi8TERLRo\n0QLTpk2r99w7d+4AAAYNGqS53k2bNun0W7VqFZKTk9GvXz889thjuHHjBvbs2YOSkhLMmDGjwbFW\nq+lnTUREloOFDiIiogeQvgsuV69eDXt7e1RWVmq1r1mzBiKRCJ999hnc3d0BAE8++SQuXryo85t5\nHx8fDB48WPP1/asHfv/9d0ilUq2VBiNGjMCcOXOwbt06hIaGQiyu+cVuvXv31vz91q1bSEtLQ3h4\neI2/de/atSv+9a9/aVabREREYPr06fjjjz8wffp0AEBYWBjCwsI051RVVaFbt26YO3cujh07pnUd\nDfHUU09pVgXcO2ZiYiIqKiogkUjg5eWFDz/8UHNcrVYjIiIC7777Lvbv319roeP333+HUqnEBx98\noPkZNNXt27exfv16ODs7o6SkpM6+Z86cwd69exu0EuNePXr00FoZdPz4cchksgadW1paCgB4+OGH\nNT/7+wtx586dQ1JSEl577TVERERo2gMDA/Htt98iNzeXe4oQEVGjsNBBRET0gLGxsdF8QGyM1NRU\nnDt3DlOmTMGPP/6oaS8tLUVWVhaefPJJnQ/Y9z4q0VDHjx9H586dtc61srLC0KFDsWrVKly6dEmv\nce/n6+urKXIAgLu7O4KCgnD27Fmtfnv37kVycjIuX76sWUEAQOfDuFqthlQq1WorLy/X+rr6MYnq\nfoWFhcjKykLPnj21YsnKykJCQgKys7O15qmpAFBcXIydO3ciMTERI0eONFiRA7i7QsPJyQl9+vSp\ncSVPNaVSiZiYGERERGge82kouVwOqVQKlUqFzMxMyOVyPP744w069+rVqwAAJyenWvscOnQIDg4O\n6N69u9bPp3qVUU5Ojlaho6ysTKufXC6vdWypVIqKigqIxWI4OjrC2pr/9CUisgS82xMRET1g/Pz8\ncOzYMSQlJaF79+64c+cOLl26VOc51b/Zf/bZZ+Ht7a11rKCgAADQpk2beueuqKiAlZVVnX1u3LiB\nTp066bS3atVKM58hCh01cXd319rjY82aNUhMTESbNm3wxBNPwNvbG2KxGN99953OqhiFQoHXXnut\n3jlUKpVWv7Zt22pWkAB3P5h/8803cHFxwaOPPgo/Pz84Ozvj559/hkql0hlvzZo1AID27dtj3Lhx\njb7m2pw5cwYpKSmYN28eTp06VWff7du3o6SkBBMmTMCXX37ZqHlWrVql9XW3bt00RYj65OXlQSwW\n19n/+vXrKCsr09oD5l43b97U+jo+Ph7x8fENmn/mzJmav4vFYoSHh+PVV19t0LlERGS6WOggIiJ6\nwIwbNw45OTlaHzDd3NzqPKf6N/sjR47EuXPnauzTkH0LysvLtVYu1MZYe5lXVlZqCjElJSXYuXMn\nevfujZkzZ2qur7bVChKJBDNmzNCKfefOnUhLS9PqJxaLNRtllpaWIi4uDkuXLtVszLl161a0bNkS\nn3/+udYjN9Ubmt7vmWeeQV5eHo4dO4aEhAQMHz5cz6v/H6VSidWrVyM8PBxdunSps9BRvW/LtGnT\n9NqYc9SoUZq9U4qKivDbb79hwYIFWLp0aa2PKFXLzMxEmzZt6nzTi1qthru7O6ZOnVpjXvn6+mp9\nPWjQIK19YO7cuYNvv/22xrHffvtt2NnZobKyEkeOHEFycjICAgIwdOjQOuMmIiLTxkIHERHRA8bP\nzw/Lli1Dbm4u7ty5g5YtW8Lb2xtjx46tsf+9v9mvaTWGp6cngLu/Xa+LSqVCQUEBBg4cWGc/Ly8v\n5Ofn67Rfu3ZNc7y5XL9+HT4+PgDurhxRq9UICwtrUBFHLBbrvBUmPT29xr737rOhUCjw008/4cqV\nK2jTpg3y8/MxYMCABhcNAgIC8Oyzz2LOnDn49ddf0bFjR61NV/WxY8cOlJaWYuLEifX2jYmJQefO\nnTFgwAC95mrfvr3W90MsFmP16tXIzc3VerPN/crLy3H27FmMGjWqzvE9PT1x5swZBAUFNejVt35+\nflrx1PUYTo8ePTQ/p759++LUq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      "text/plain": [
       "<matplotlib.figure.Figure at 0x4b11ed30>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "tmp = transactions.groupby(['num_day', 'customer_id']).amount.count()\n",
    "tmp1 = transactions[transactions.gender==0].groupby(['num_day', 'customer_id']).amount.count()\n",
    "tmp2 = transactions[transactions.gender==1].groupby(['num_day', 'customer_id']).amount.count()\n",
    "\n",
    "figsize(12,5)\n",
    "# там есть 60!\n",
    "plt.hist(tmp[tmp<31], bins=32, color='#770000', label=u'все', alpha=0.3, width=0.8) # , histtype='stepfilled', normed=True,\n",
    "plt.hist(tmp1[tmp<31], bins=32, color='#007700', label=u'ж', alpha=0.6, width=0.7)\n",
    "plt.hist(tmp2[tmp<31], bins=32, color='#000077', label=u'м', alpha=1.0, width=0.6)\n",
    "plt.xlabel(u'число транзакций в день')\n",
    "plt.ylabel(u'число таких случаев (пар \"клиент, день\")')\n",
    "plt.title(u'Встречаемость определённого количества транзакций в день')\n",
    "plt.legend()\n",
    "plt.xlim([0, 30])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "tmp = transactions.groupby(['num_day', 'customer_id']).amount.count()\n",
    "tmp = tmp.unstack()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>customer_id</th>\n",
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       "      <th>22899</th>\n",
       "      <th>27914</th>\n",
       "      <th>28753</th>\n",
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       "    <tr>\n",
       "      <th>num_day</th>\n",
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       "      <th></th>\n",
       "      <th></th>\n",
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       "      <th></th>\n",
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       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "      <th></th>\n",
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       "      <th></th>\n",
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       "      <th></th>\n",
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       "      <th></th>\n",
       "      <th></th>\n",
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       "      <th></th>\n",
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       "      <th></th>\n",
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       "      <th></th>\n",
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       "      <th></th>\n",
       "      <th></th>\n",
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       "      <th></th>\n",
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       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.0</td>\n",
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       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>3.0</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>29.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>13.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "customer_id  6815      22899     27914     28753     31385     38084     \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       1.0       1.0       NaN   \n",
       "1                 NaN       1.0       NaN       NaN       NaN       1.0   \n",
       "2                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       4.0       1.0       NaN   \n",
       "4                 NaN       NaN       NaN       1.0       NaN       1.0   \n",
       "\n",
       "customer_id  42096     49101     49793     50940     52926     53395     \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       1.0       NaN       NaN       NaN   \n",
       "1                 4.0       NaN       1.0       NaN       NaN       NaN   \n",
       "2                 3.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 1.0       NaN       1.0       NaN       NaN       NaN   \n",
       "4                 3.0       NaN       1.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  70680     78659     81626     85327     85635     104032    \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  114348    115617    117556    126081    126935    127946    \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "1                 2.0       NaN       NaN       NaN       1.0       NaN   \n",
       "2                 NaN       2.0       4.0       2.0       NaN       NaN   \n",
       "3                 NaN       NaN       3.0       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  137367    168767    172390    174467    177299    186730    \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 1.0       NaN       NaN       NaN       NaN       3.0   \n",
       "\n",
       "customer_id  189257    199565    214804    218079    225025    232342    \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       1.0       1.0       2.0       NaN   \n",
       "1                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 1.0       NaN       2.0       1.0       NaN       NaN   \n",
       "3                 NaN       1.0       1.0       2.0       2.0       NaN   \n",
       "4                 1.0       6.0       4.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  251590    263605    272657    277885    279454    280339    \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       NaN       NaN       NaN       1.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       1.0       NaN       1.0       NaN   \n",
       "3                 1.0       1.0       2.0       NaN       2.0       NaN   \n",
       "4                 2.0       NaN       3.0       NaN       NaN       2.0   \n",
       "\n",
       "customer_id  281727    293048    302489    307854    308038    312146    \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       3.0       NaN       1.0   \n",
       "1                 NaN       NaN       1.0       3.0       NaN       1.0   \n",
       "2                 NaN       NaN       4.0       2.0       3.0       NaN   \n",
       "3                 NaN       NaN       6.0       NaN       2.0       1.0   \n",
       "4                 NaN       NaN       7.0       NaN       2.0       NaN   \n",
       "\n",
       "customer_id  324850    331590    340557    350821    353313    361458    \\\n",
       "num_day                                                                   \n",
       "0                 2.0       2.0       1.0       NaN       2.0       4.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "2                 NaN       NaN       3.0       NaN       1.0       NaN   \n",
       "3                 NaN       1.0       3.0       3.0       NaN       4.0   \n",
       "4                 NaN       1.0       NaN       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  364063    368517    370258    374768    378318    384494    \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       2.0       1.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       4.0   \n",
       "2                 NaN       3.0       2.0       NaN       2.0       NaN   \n",
       "3                 NaN       NaN       4.0       1.0       NaN       5.0   \n",
       "4                 NaN       NaN       3.0       4.0       NaN       7.0   \n",
       "\n",
       "customer_id  390759    402290    409257    418693    421322    440719    \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       NaN       NaN       1.0   \n",
       "1                 6.0       NaN       NaN       NaN       4.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 1.0       NaN       NaN       1.0       1.0       NaN   \n",
       "4                 4.0       NaN       NaN       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  450407    452658    461627    483137    493506    496551    \\\n",
       "num_day                                                                   \n",
       "0                16.0       NaN       1.0       NaN       8.0       NaN   \n",
       "1                12.0       NaN       NaN       NaN       5.0       4.0   \n",
       "2                29.0       NaN       NaN       NaN       2.0       4.0   \n",
       "3                13.0       NaN       1.0       NaN       3.0       NaN   \n",
       "4                11.0       NaN       3.0       NaN       6.0       6.0   \n",
       "\n",
       "customer_id  498222    505638    506931    507059    513162    516081    \\\n",
       "num_day                                                                   \n",
       "0                 1.0       4.0       NaN       NaN       NaN       2.0   \n",
       "1                 2.0       NaN       NaN       NaN       NaN       3.0   \n",
       "2                 1.0       NaN       1.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       4.0       NaN       NaN       5.0   \n",
       "4                 1.0       NaN       1.0       NaN       NaN       4.0   \n",
       "\n",
       "customer_id  521757    523568    529117    529504    531522    541452    \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       NaN       5.0       NaN   \n",
       "1                 2.0       1.0       1.0       NaN       NaN       1.0   \n",
       "2                 3.0       NaN       NaN       1.0       NaN       2.0   \n",
       "3                 NaN       NaN       NaN       NaN       3.0       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  543628    544719    546786    547551    555494    559917    \\\n",
       "num_day                                                                   \n",
       "0                 4.0       1.0       NaN       NaN       NaN       1.0   \n",
       "1                 2.0       NaN       NaN       NaN       1.0       1.0   \n",
       "2                 NaN       1.0       3.0       NaN       NaN       2.0   \n",
       "3                 1.0       1.0       2.0       NaN       NaN       NaN   \n",
       "4                 1.0       NaN       1.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  561689    568609    570018    571978    573558    581281    \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       3.0       1.0       NaN       NaN   \n",
       "1                 NaN       NaN       1.0       NaN       3.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       2.0       NaN       1.0       NaN   \n",
       "4                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  581481    589185    600423    603086    606275    608230    \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       2.0       1.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  610375    611788    615526    615954    621247    624112    \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       3.0       1.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       2.0       NaN       1.0   \n",
       "2                 NaN       1.0       NaN       NaN       NaN       1.0   \n",
       "3                 NaN       1.0       NaN       2.0       NaN       NaN   \n",
       "4                 NaN       1.0       1.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  630248    631701    635849    648872    662157    676214    \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       3.0       NaN       NaN   \n",
       "1                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "4                 NaN       1.0       4.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  683284    701335    708350    735380    750056    760558    \\\n",
       "num_day                                                                   \n",
       "0                 2.0       2.0       1.0       2.0       2.0       4.0   \n",
       "1                 NaN       5.0       2.0       1.0       1.0       NaN   \n",
       "2                 NaN       2.0       NaN       NaN       2.0       NaN   \n",
       "3                 1.0       3.0       1.0       NaN       NaN       NaN   \n",
       "4                 1.0       2.0       1.0       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  771111    772334    775341    784349    784488    788112    \\\n",
       "num_day                                                                   \n",
       "0                 NaN       9.0       1.0       NaN       1.0       NaN   \n",
       "1                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "2                 NaN       4.0       NaN       NaN       NaN       NaN   \n",
       "3                 1.0       7.0       2.0       NaN       2.0       1.0   \n",
       "4                 4.0       NaN       2.0       NaN       4.0       NaN   \n",
       "\n",
       "customer_id  791643    815836    818174    820723    824085    867851    \\\n",
       "num_day                                                                   \n",
       "0                 1.0       7.0       2.0       NaN       1.0       1.0   \n",
       "1                 NaN       1.0       1.0       NaN       1.0       NaN   \n",
       "2                 NaN       4.0       NaN       NaN       NaN       NaN   \n",
       "3                 1.0       9.0       NaN       NaN       1.0       NaN   \n",
       "4                 2.0       6.0       5.0       NaN       2.0       NaN   \n",
       "\n",
       "customer_id  877421    886850    890531    901811    903961    904122    \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       5.0       NaN       2.0       NaN   \n",
       "1                 3.0       NaN       2.0       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       4.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       7.0       NaN       1.0       1.0   \n",
       "4                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  904539    927818    938354    941185    954126    956512    \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       3.0       3.0       NaN       NaN   \n",
       "1                 NaN       NaN       4.0       NaN       2.0       NaN   \n",
       "2                 2.0       NaN       2.0       1.0       3.0       NaN   \n",
       "3                 1.0       NaN       3.0       NaN       NaN       NaN   \n",
       "4                 2.0       NaN       6.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  961425    962405    971575    984061    984867    987798    \\\n",
       "num_day                                                                   \n",
       "0                 3.0       NaN       NaN       1.0       NaN       2.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "3                 NaN       NaN       NaN       1.0       NaN       2.0   \n",
       "4                 NaN       1.0       NaN       NaN       NaN       2.0   \n",
       "\n",
       "customer_id  999976    1004170   1013552   1013842   1013875   1018926   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       4.0       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       5.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       1.0       2.0       1.0       NaN   \n",
       "4                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  1020634   1023983   1029705   1044883   1066224   1071870   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       2.0       NaN       NaN       3.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       1.0       1.0   \n",
       "2                 NaN       1.0       NaN       1.0       NaN       1.0   \n",
       "3                 NaN       3.0       NaN       NaN       1.0       NaN   \n",
       "4                 NaN       2.0       1.0       NaN       2.0       NaN   \n",
       "\n",
       "customer_id  1081993   1087616   1088175   1093304   1094663   1096220   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       2.0       NaN       3.0       NaN       2.0   \n",
       "1                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "2                 NaN       5.0       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       3.0       3.0       1.0       NaN       NaN   \n",
       "4                 NaN       NaN       4.0       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  1099483   1109129   1115426   1122742   1133595   1136140   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       1.0       5.0   \n",
       "2                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "4                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "\n",
       "customer_id  1139307   1157982   1177740   1177962   1210592   1211346   \\\n",
       "num_day                                                                   \n",
       "0                 3.0       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  1217764   1230741   1238197   1256938   1263601   1271467   \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 5.0       NaN       NaN       3.0       NaN       NaN   \n",
       "2                 7.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       1.0       2.0       NaN       NaN   \n",
       "\n",
       "customer_id  1289086   1291480   1297829   1298146   1308272   1310584   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  1316496   1322942   1336622   1338875   1340586   1361341   \\\n",
       "num_day                                                                   \n",
       "0                 2.0       1.0       NaN       NaN       NaN       NaN   \n",
       "1                 5.0       2.0       NaN       NaN       NaN       NaN   \n",
       "2                 1.0       1.0       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "4                 7.0       1.0       NaN       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  1361923   1370532   1377061   1380455   1386526   1389092   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       2.0       1.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 1.0       1.0       2.0       NaN       NaN       1.0   \n",
       "4                 2.0       NaN       NaN       1.0       NaN       1.0   \n",
       "\n",
       "customer_id  1394168   1420045   1420268   1451776   1451952   1461541   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       3.0   \n",
       "\n",
       "customer_id  1469034   1469056   1505158   1508066   1510234   1513266   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       3.0       NaN       1.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       1.0       NaN       2.0   \n",
       "4                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  1521146   1541259   1546466   1562005   1563913   1567274   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       3.0       NaN       NaN   \n",
       "1                 2.0       NaN       4.0       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       6.0       7.0       2.0       1.0   \n",
       "3                 1.0       NaN       3.0       1.0       1.0       NaN   \n",
       "4                 NaN       NaN       4.0       3.0       NaN       NaN   \n",
       "\n",
       "customer_id  1567291   1567497   1568833   1571169   1575030   1579633   \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       4.0       1.0       NaN   \n",
       "1                 NaN       NaN       1.0       1.0       NaN       NaN   \n",
       "2                 3.0       NaN       5.0       8.0       NaN       NaN   \n",
       "3                 NaN       NaN       4.0       1.0       NaN       NaN   \n",
       "4                 3.0       NaN       NaN       4.0       NaN       NaN   \n",
       "\n",
       "customer_id  1582976   1585299   1593734   1600833   1610310   1622018   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       6.0       NaN       NaN       NaN       1.0   \n",
       "1                 NaN       3.0       1.0       NaN       NaN       2.0   \n",
       "2                 NaN       2.0       1.0       NaN       NaN       1.0   \n",
       "3                 NaN       1.0       1.0       NaN       1.0       NaN   \n",
       "4                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  1626561   1643831   1645333   1658650   1691972   1692635   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       3.0       1.0       NaN       NaN       1.0   \n",
       "1                 NaN       2.0       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       4.0       NaN       NaN       NaN       NaN   \n",
       "3                 1.0       1.0       NaN       NaN       NaN       1.0   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  1699717   1701585   1702393   1704698   1709422   1713682   \\\n",
       "num_day                                                                   \n",
       "0                 1.0       1.0       NaN       NaN       NaN       1.0   \n",
       "1                 1.0       NaN       NaN       NaN       4.0       NaN   \n",
       "2                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       2.0       NaN       NaN       NaN       NaN   \n",
       "4                 2.0       2.0       NaN       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  1714555   1716098   1732939   1745827   1747033   1747627   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       2.0       NaN       NaN       NaN       1.0   \n",
       "1                 2.0       1.0       NaN       5.0       NaN       5.0   \n",
       "2                 NaN       2.0       NaN       NaN       NaN       1.0   \n",
       "3                 NaN       1.0       NaN       NaN       NaN      10.0   \n",
       "4                 1.0       NaN       NaN       NaN       NaN       6.0   \n",
       "\n",
       "customer_id  1748625   1764918   1798485   1804650   1810386   1826000   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       2.0       1.0       3.0       1.0   \n",
       "1                 NaN       3.0       NaN       NaN       NaN       2.0   \n",
       "2                 NaN       2.0       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       2.0       1.0       NaN       NaN   \n",
       "4                 NaN       NaN       4.0       NaN       1.0       3.0   \n",
       "\n",
       "customer_id  1828229   1843439   1844176   1846496   1848866   1851193   \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       1.0       NaN       NaN       NaN   \n",
       "1                 NaN       1.0       3.0       NaN       1.0       NaN   \n",
       "2                 NaN       NaN       1.0       1.0       NaN       NaN   \n",
       "3                 NaN       1.0       1.0       2.0       1.0       NaN   \n",
       "4                 NaN       2.0       2.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  1859939   1867994   1877761   1877899   1887297   1888728   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "1                 3.0       NaN       8.0       NaN       NaN       NaN   \n",
       "2                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  1893992   1914718   1925153   1929883   1936060   1943360   \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       3.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  1945885   1946162   1965128   1970657   1976337   1983589   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       9.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       4.0   \n",
       "2                 NaN       2.0       NaN       NaN       NaN       3.0   \n",
       "3                 NaN       1.0       NaN       NaN       1.0      10.0   \n",
       "4                 NaN       NaN       NaN       NaN       NaN      15.0   \n",
       "\n",
       "customer_id  1988154   1994043   2027135   2040479   2098407   2102941   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       1.0       NaN       1.0   \n",
       "1                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "4                 NaN       NaN       2.0       1.0       3.0       NaN   \n",
       "\n",
       "customer_id  2108826   2130072   2132230   2132533   2134054   2134142   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       4.0       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       4.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  2137396   2151916   2152989   2158881   2162737   2163249   \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       NaN       1.0       2.0   \n",
       "1                 NaN       NaN       NaN       2.0       NaN       4.0   \n",
       "2                 6.0       NaN       NaN       1.0       NaN       NaN   \n",
       "3                 2.0       NaN       NaN       NaN       NaN       1.0   \n",
       "4                 5.0       NaN       NaN       NaN       1.0       2.0   \n",
       "\n",
       "customer_id  2169770   2172915   2173974   2177252   2208164   2216764   \\\n",
       "num_day                                                                   \n",
       "0                12.0       2.0       1.0       NaN       3.0       NaN   \n",
       "1                 NaN       NaN      10.0       NaN       NaN       NaN   \n",
       "2                 1.0       NaN       3.0       NaN       2.0       NaN   \n",
       "3                 NaN      12.0       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       2.0       2.0       2.0       NaN       NaN   \n",
       "\n",
       "customer_id  2219074   2258783   2261311   2264868   2270070   2275529   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "1                 NaN       2.0       NaN       1.0       NaN       NaN   \n",
       "2                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       4.0       NaN       NaN       2.0       NaN   \n",
       "4                 1.0       1.0       1.0       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  2279881   2287385   2299975   2305889   2314154   2317888   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "4                 NaN       NaN       NaN       NaN       3.0       NaN   \n",
       "\n",
       "customer_id  2329892   2333956   2338817   2340137   2353453   2354592   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       1.0       4.0   \n",
       "3                 1.0       NaN       NaN       NaN       2.0       2.0   \n",
       "4                 NaN       NaN       NaN       NaN       5.0       NaN   \n",
       "\n",
       "customer_id  2354882   2366066   2368868   2381924   2383708   2394791   \\\n",
       "num_day                                                                   \n",
       "0                 9.0       1.0       2.0       3.0       NaN       3.0   \n",
       "1                 6.0       1.0       1.0       NaN       NaN       3.0   \n",
       "2                11.0       NaN       NaN       NaN       NaN       1.0   \n",
       "3                 4.0       NaN       1.0       NaN       NaN       3.0   \n",
       "4                 3.0       1.0       NaN       NaN       2.0       2.0   \n",
       "\n",
       "customer_id  2400211   2410540   2420841   2426906   2428102   2444292   \\\n",
       "num_day                                                                   \n",
       "0                 1.0       2.0       NaN       2.0       1.0       NaN   \n",
       "1                 NaN       1.0       NaN       NaN       2.0       NaN   \n",
       "2                 NaN       NaN       NaN       1.0       3.0       NaN   \n",
       "3                 2.0       NaN       NaN       NaN       1.0       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "\n",
       "customer_id  2452546   2463795   2464493   2467346   2470443   2474434   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 2.0       NaN       NaN       NaN       1.0       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  2476082   2480913   2491620   2493740   2501058   2518708   \\\n",
       "num_day                                                                   \n",
       "0                 1.0       1.0       1.0       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "2                 NaN       NaN       1.0       NaN       1.0       NaN   \n",
       "3                 NaN       NaN       3.0       NaN       NaN       NaN   \n",
       "4                 NaN       1.0       1.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  2529698   2530030   2532518   2532836   2535068   2548573   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "2                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 2.0       NaN       NaN       NaN       1.0       2.0   \n",
       "4                 NaN       2.0       NaN       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  2569589   2591328   2611317   2611958   2615105   2635248   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       NaN       NaN       2.0   \n",
       "1                 NaN       3.0       NaN       NaN       NaN       NaN   \n",
       "2                 2.0       1.0       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "4                 1.0       2.0       NaN       2.0       NaN       NaN   \n",
       "\n",
       "customer_id  2641592   2649097   2658384   2664251   2666365   2672564   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       8.0       2.0       1.0       4.0   \n",
       "1                 NaN       4.0       3.0       4.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "3                 NaN       1.0       2.0       1.0       NaN       1.0   \n",
       "4                 NaN       4.0       1.0       1.0       3.0       2.0   \n",
       "\n",
       "customer_id  2673490   2680117   2684078   2691374   2692812   2702587   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       1.0       NaN       NaN   \n",
       "1                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       4.0       NaN       NaN   \n",
       "4                 4.0       NaN       NaN       2.0       2.0       NaN   \n",
       "\n",
       "customer_id  2705672   2712467   2714622   2730512   2733562   2734888   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "1                 NaN       2.0       1.0       NaN       2.0       3.0   \n",
       "2                 NaN       NaN       2.0       4.0       NaN       3.0   \n",
       "3                 NaN       3.0       1.0       1.0       4.0       3.0   \n",
       "4                 NaN       3.0       NaN       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  2740197   2741822   2750594   2761357   2762123   2768803   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       2.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       1.0       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  2775006   2775618   2777285   2779522   2787811   2788526   \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 1.0       3.0       NaN       NaN       NaN       NaN   \n",
       "2                 3.0       1.0       NaN       2.0       NaN       NaN   \n",
       "3                 2.0       2.0       NaN       NaN       NaN       NaN   \n",
       "4                 2.0       1.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  2790265   2802378   2805830   2810793   2851080   2852393   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       1.0       3.0       1.0   \n",
       "1                 NaN       NaN       NaN       1.0       NaN       2.0   \n",
       "2                 NaN       1.0       3.0       NaN       NaN       NaN   \n",
       "3                 1.0       1.0       1.0       2.0       2.0       3.0   \n",
       "4                 NaN       1.0       NaN       2.0       1.0       NaN   \n",
       "\n",
       "customer_id  2861450   2865095   2872341   2873570   2881605   2889863   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 2.0       NaN       NaN       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  2890058   2898546   2916305   2916768   2925124   2942372   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       5.0       1.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       3.0       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "4                 NaN       NaN       1.0       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  2946788   2950983   2952449   2953031   2956076   2992486   \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       5.0       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       5.0       NaN       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  2992932   3015012   3017155   3031425   3045827   3046869   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       1.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       2.0       2.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  3058403   3067830   3075545   3082002   3086538   3090511   \\\n",
       "num_day                                                                   \n",
       "0                 1.0       1.0       NaN       NaN       3.0       2.0   \n",
       "1                 NaN       1.0       NaN       NaN       NaN       2.0   \n",
       "2                 NaN       1.0       1.0       NaN       NaN       3.0   \n",
       "3                 1.0       1.0       NaN       NaN       NaN       1.0   \n",
       "4                 NaN       NaN       NaN       NaN       6.0       3.0   \n",
       "\n",
       "customer_id  3091059   3093845   3116382   3132026   3136315   3137260   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       NaN       NaN       1.0   \n",
       "1                 NaN       NaN       NaN       2.0       NaN       1.0   \n",
       "2                 NaN       NaN       3.0       NaN       NaN       NaN   \n",
       "3                 NaN       2.0       NaN       2.0       NaN       NaN   \n",
       "4                 NaN       NaN       3.0       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  3141788   3143586   3156819   3178734   3180911   3201299   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "1                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       1.0       NaN       NaN       1.0       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  3202482   3219895   3238487   3241242   3243044   3258145   \\\n",
       "num_day                                                                   \n",
       "0                 2.0       2.0       1.0       2.0       NaN       1.0   \n",
       "1                 3.0       NaN       NaN       NaN       NaN       2.0   \n",
       "2                 1.0       1.0       1.0       2.0       NaN       1.0   \n",
       "3                 2.0       NaN       NaN       NaN       NaN       1.0   \n",
       "4                 2.0       NaN       1.0       NaN       4.0       2.0   \n",
       "\n",
       "customer_id  3260907   3284483   3294989   3298181   3299846   3314739   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       1.0       NaN       1.0   \n",
       "2                 NaN       NaN       2.0       NaN       1.0       NaN   \n",
       "3                 1.0       NaN       NaN       NaN       2.0       NaN   \n",
       "4                 NaN       4.0       NaN       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  3316837   3321077   3323243   3332843   3356075   3357959   \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       1.0       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       2.0       1.0       NaN       NaN   \n",
       "3                 1.0       NaN       NaN       2.0       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       3.0       NaN       1.0   \n",
       "\n",
       "customer_id  3363940   3368868   3385982   3393374   3396239   3399566   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  3401355   3404369   3419519   3437627   3439732   3440764   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  3449730   3453773   3467492   3468151   3484746   3484785   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "1                 NaN       NaN       NaN       1.0       NaN       3.0   \n",
       "2                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "4                 NaN       NaN       NaN       2.0       NaN       2.0   \n",
       "\n",
       "customer_id  3491578   3493020   3501340   3501973   3510307   3525018   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       NaN       1.0       NaN   \n",
       "1                 NaN       NaN       1.0       NaN       NaN       2.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       1.0       2.0   \n",
       "4                 NaN       NaN       1.0       NaN       4.0       NaN   \n",
       "\n",
       "customer_id  3528539   3539993   3545192   3555716   3568140   3576146   \\\n",
       "num_day                                                                   \n",
       "0                 5.0       NaN       NaN       NaN       NaN       2.0   \n",
       "1                 NaN       2.0       NaN       NaN       NaN       1.0   \n",
       "2                 NaN       2.0       NaN       NaN       1.0       4.0   \n",
       "3                 3.0       NaN       NaN       NaN       2.0       2.0   \n",
       "4                 NaN       NaN       NaN       NaN       2.0       1.0   \n",
       "\n",
       "customer_id  3585421   3592058   3597913   3598742   3605631   3614441   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       5.0       1.0       1.0       NaN   \n",
       "1                 NaN       1.0       NaN       3.0       NaN       NaN   \n",
       "2                 NaN       NaN       3.0       2.0       1.0       NaN   \n",
       "3                 NaN       2.0       NaN       2.0       NaN       NaN   \n",
       "4                 NaN       2.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  3618976   3620801   3622602   3630439   3638357   3640332   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       4.0       NaN       1.0       1.0       NaN   \n",
       "1                 NaN       6.0       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 4.0       1.0       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       1.0       1.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  3641050   3653573   3664058   3671964   3684270   3690050   \\\n",
       "num_day                                                                   \n",
       "0                 1.0       4.0       NaN       2.0       NaN       NaN   \n",
       "1                 NaN       4.0       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       2.0       NaN       NaN       NaN       NaN   \n",
       "3                 1.0       NaN       NaN       NaN       1.0       NaN   \n",
       "4                 1.0       4.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  3690249   3707094   3707746   3719119   3725814   3729674   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       2.0       NaN       NaN       2.0       NaN   \n",
       "1                 NaN       NaN       1.0       2.0       NaN       NaN   \n",
       "2                 NaN       NaN       3.0       2.0       5.0       5.0   \n",
       "3                 NaN       NaN       2.0       1.0       2.0       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       3.0       1.0   \n",
       "\n",
       "customer_id  3741760   3743929   3750128   3754006   3754181   3765322   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       1.0       NaN       3.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "3                 1.0       1.0       NaN       2.0       NaN       5.0   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  3788060   3803237   3812843   3825193   3830602   3837731   \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       5.0       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  3848748   3850938   3854679   3857377   3862472   3874769   \\\n",
       "num_day                                                                   \n",
       "0                 3.0       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "2                 3.0       1.0       NaN       NaN       1.0       NaN   \n",
       "3                 1.0       1.0       NaN       2.0       2.0       NaN   \n",
       "4                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  3886317   3893227   3902265   3904838   3917249   3918071   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  3928556   3931715   3938875   3938989   3951882   3951925   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       4.0       1.0       3.0       NaN   \n",
       "1                 NaN       NaN       4.0       NaN       3.0       NaN   \n",
       "2                 NaN       NaN       1.0       NaN       NaN       1.0   \n",
       "3                 NaN       NaN       5.0       2.0       1.0       NaN   \n",
       "4                 NaN       1.0       1.0       NaN       2.0       NaN   \n",
       "\n",
       "customer_id  3990151   3996099   4008554   4015488   4020883   4022959   \\\n",
       "num_day                                                                   \n",
       "0                 2.0       2.0       5.0       NaN       1.0       NaN   \n",
       "1                 2.0       2.0       4.0       NaN       NaN       NaN   \n",
       "2                 1.0       NaN       1.0       NaN       NaN       NaN   \n",
       "3                 NaN       1.0       4.0       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       5.0       3.0       NaN       NaN   \n",
       "\n",
       "customer_id  4024330   4033578   4038688   4058604   4067941   4068743   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       3.0       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       1.0       NaN       1.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 2.0       NaN       2.0       NaN       NaN       NaN   \n",
       "4                 3.0       NaN       1.0       4.0       NaN       NaN   \n",
       "\n",
       "customer_id  4074949   4077097   4077514   4078534   4079550   4092048   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       2.0       1.0       NaN       NaN       NaN   \n",
       "1                 2.0       2.0       NaN       NaN       NaN       1.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 3.0       NaN       NaN       NaN       NaN       4.0   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  4093391   4093894   4095398   4099715   4123368   4131179   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "3                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  4132055   4135970   4154393   4165519   4165598   4166824   \\\n",
       "num_day                                                                   \n",
       "0                 5.0       NaN       3.0       1.0       1.0       NaN   \n",
       "1                 8.0       NaN       2.0       2.0       NaN       1.0   \n",
       "2                 6.0       NaN       NaN       1.0       NaN       1.0   \n",
       "3                 1.0       1.0       3.0       NaN       9.0       NaN   \n",
       "4                 4.0       NaN       1.0       3.0       2.0       1.0   \n",
       "\n",
       "customer_id  4178902   4181983   4202815   4208081   4218020   4228839   \\\n",
       "num_day                                                                   \n",
       "0                 5.0       2.0       NaN       2.0       NaN       1.0   \n",
       "1                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       1.0       NaN       2.0       NaN       1.0   \n",
       "4                 NaN       2.0       NaN       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  4230897   4243994   4256687   4259997   4267627   4267952   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       1.0       NaN       1.0   \n",
       "1                 NaN       3.0       NaN       NaN       NaN       6.0   \n",
       "2                 NaN       NaN       NaN       2.0       NaN       1.0   \n",
       "3                 NaN       3.0       1.0       2.0       NaN       1.0   \n",
       "4                 NaN       1.0       NaN       1.0       NaN       1.0   \n",
       "\n",
       "customer_id  4286902   4287022   4303845   4309673   4309953   4314113   \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       3.0       NaN       NaN       NaN   \n",
       "1                 NaN       3.0       1.0       NaN       2.0       NaN   \n",
       "2                 NaN       2.0       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       1.0       4.0       NaN       NaN       NaN   \n",
       "4                 NaN       2.0       3.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  4316393   4328276   4342236   4347691   4356982   4385561   \\\n",
       "num_day                                                                   \n",
       "0                 4.0       1.0       NaN       4.0       NaN       NaN   \n",
       "1                 5.0       1.0       NaN       NaN       NaN       NaN   \n",
       "2                 4.0       NaN       NaN       4.0       NaN       NaN   \n",
       "3                 5.0       NaN       NaN       1.0       2.0       NaN   \n",
       "4                 NaN       6.0       NaN       1.0       1.0       NaN   \n",
       "\n",
       "customer_id  4395772   4401604   4402209   4412137   4415650   4416498   \\\n",
       "num_day                                                                   \n",
       "0                 1.0       1.0       NaN       2.0       NaN       1.0   \n",
       "1                 NaN       2.0       NaN       1.0       NaN       2.0   \n",
       "2                 NaN       1.0       NaN       1.0       NaN       NaN   \n",
       "3                 NaN       NaN       2.0       1.0       NaN       1.0   \n",
       "4                 2.0       1.0       NaN       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  4444740   4448989   4454576   4457491   4466684   4469885   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       2.0       NaN       NaN       1.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "2                 NaN       1.0       NaN       NaN       1.0       NaN   \n",
       "3                 NaN       2.0       NaN       NaN       1.0       NaN   \n",
       "4                 NaN       3.0       NaN       NaN       1.0       2.0   \n",
       "\n",
       "customer_id  4472275   4472392   4479599   4490121   4494007   4500911   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       2.0       NaN       NaN       3.0   \n",
       "1                 NaN       2.0       NaN       NaN       NaN       1.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 3.0       7.0       NaN       1.0       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  4512522   4529686   4530354   4538769   4539433   4543137   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "1                 1.0       NaN       NaN       NaN       1.0       4.0   \n",
       "2                 5.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 4.0       NaN       NaN       NaN       NaN       2.0   \n",
       "4                 6.0       NaN       1.0       NaN       2.0       7.0   \n",
       "\n",
       "customer_id  4555624   4584304   4593707   4610275   4611165   4612839   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       6.0       NaN       NaN       NaN       1.0   \n",
       "1                 NaN       3.0       NaN       1.0       NaN       3.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       4.0   \n",
       "3                 NaN       3.0       NaN       NaN       NaN       1.0   \n",
       "4                 NaN       4.0       NaN       NaN       NaN       4.0   \n",
       "\n",
       "customer_id  4613012   4618247   4622192   4626343   4631488   4636258   \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       1.0       9.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       5.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       4.0       1.0       NaN   \n",
       "3                 3.0       NaN       NaN       2.0       NaN       NaN   \n",
       "4                 4.0       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  4637485   4638377   4641952   4651740   4661902   4662805   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       2.0       NaN       NaN       2.0       2.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       3.0       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       4.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  4664861   4667262   4681159   4690246   4696786   4707466   \\\n",
       "num_day                                                                   \n",
       "0                 4.0       NaN       NaN       NaN       NaN       4.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 4.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       1.0       NaN       6.0   \n",
       "4                 NaN       NaN       NaN       2.0       NaN       1.0   \n",
       "\n",
       "customer_id  4707639   4725454   4730614   4730615   4736518   4736715   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "1                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       1.0       NaN       2.0       NaN       NaN   \n",
       "4                 NaN       4.0       NaN       6.0       NaN       NaN   \n",
       "\n",
       "customer_id  4740895   4741880   4747261   4754475   4755538   4758274   \\\n",
       "num_day                                                                   \n",
       "0                 1.0       3.0       2.0       NaN       NaN       2.0   \n",
       "1                 1.0       NaN       NaN       NaN       5.0       NaN   \n",
       "2                 3.0       1.0       NaN       NaN       NaN       1.0   \n",
       "3                 2.0       1.0       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       4.0       1.0       NaN       NaN       3.0   \n",
       "\n",
       "customer_id  4763393   4763823   4767937   4773952   4775887   4781345   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       3.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       1.0       NaN       NaN       1.0   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       3.0   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  4791094   4791875   4803344   4829848   4840730   4857390   \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       NaN       1.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       3.0       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  4860023   4869616   4870185   4870694   4879397   4887844   \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       NaN       1.0       NaN   \n",
       "1                 3.0       NaN       NaN       NaN       3.0       NaN   \n",
       "2                 5.0       NaN       1.0       NaN       2.0       NaN   \n",
       "3                 2.0       NaN       NaN       NaN       1.0       NaN   \n",
       "4                 3.0       NaN       NaN       NaN       NaN       2.0   \n",
       "\n",
       "customer_id  4891400   4891744   4893642   4893652   4894221   4895767   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  4896321   4899457   4904693   4905824   4906390   4911203   \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       1.0       NaN       3.0       NaN   \n",
       "1                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       3.0       NaN       NaN   \n",
       "3                 2.0       NaN       1.0       2.0       NaN       NaN   \n",
       "4                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  4913258   4923294   4951447   4953958   4972273   4974442   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       2.0       7.0       1.0       NaN       NaN   \n",
       "1                 NaN       NaN       6.0       1.0       NaN       NaN   \n",
       "2                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "3                 1.0       NaN       5.0       NaN       NaN       1.0   \n",
       "4                 5.0       NaN       2.0       3.0       NaN       NaN   \n",
       "\n",
       "customer_id  4976466   4987087   5000075   5003413   5005306   5008485   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       2.0       NaN       1.0       NaN   \n",
       "1                 1.0       NaN       4.0       NaN       1.0       3.0   \n",
       "2                 1.0       2.0       NaN       NaN       NaN       NaN   \n",
       "3                 1.0       3.0       NaN       NaN       2.0       NaN   \n",
       "4                 NaN       NaN       3.0       NaN       1.0       2.0   \n",
       "\n",
       "customer_id  5009599   5010022   5013057   5021691   5027133   5030826   \\\n",
       "num_day                                                                   \n",
       "0                 3.0       NaN       NaN       1.0       1.0       4.0   \n",
       "1                 6.0       NaN       2.0       2.0       NaN       2.0   \n",
       "2                 6.0       NaN       2.0       1.0       NaN       1.0   \n",
       "3                 3.0       NaN       3.0       3.0       NaN       4.0   \n",
       "4                 2.0       NaN       1.0       2.0       NaN       1.0   \n",
       "\n",
       "customer_id  5030933   5038906   5041537   5063156   5063900   5067196   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       1.0       NaN       NaN   \n",
       "1                 1.0       NaN       NaN       3.0       NaN       NaN   \n",
       "2                 NaN       NaN       4.0       NaN       NaN       3.0   \n",
       "3                 1.0       1.0       NaN       1.0       NaN       NaN   \n",
       "4                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  5069744   5071786   5073755   5079103   5079439   5080512   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "1                 NaN       NaN       NaN       1.0       NaN       2.0   \n",
       "2                 NaN       NaN       NaN       1.0       NaN       1.0   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  5102946   5115320   5119289   5119545   5126711   5128692   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       6.0       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       6.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  5129634   5133168   5144740   5151296   5151866   5153687   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       NaN       1.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "3                 NaN       NaN       1.0       NaN       1.0       NaN   \n",
       "4                 NaN       NaN       1.0       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  5155879   5160597   5175075   5179705   5188784   5191421   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       2.0       NaN       NaN       NaN       NaN   \n",
       "1                 1.0       4.0       NaN       2.0       NaN       NaN   \n",
       "2                 1.0       2.0       NaN       1.0       NaN       NaN   \n",
       "3                 1.0       NaN       NaN       NaN       NaN       1.0   \n",
       "4                 1.0       1.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  5192089   5198666   5202939   5205423   5216946   5222307   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       3.0       NaN       1.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       1.0       NaN       1.0       NaN       NaN   \n",
       "3                 NaN       1.0       NaN       NaN       2.0       4.0   \n",
       "4                 NaN       NaN       NaN       4.0       NaN       1.0   \n",
       "\n",
       "customer_id  5234323   5249686   5253697   5258986   5285278   5288179   \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       NaN       1.0       NaN       1.0   \n",
       "1                 4.0       3.0       NaN       NaN       NaN       1.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "3                 2.0       4.0       NaN       NaN       NaN       1.0   \n",
       "4                 1.0       2.0       NaN       2.0       NaN       NaN   \n",
       "\n",
       "customer_id  5301525   5301702   5306200   5307689   5308727   5310051   \\\n",
       "num_day                                                                   \n",
       "0                 1.0       2.0       NaN       NaN       3.0       NaN   \n",
       "1                 NaN       1.0       NaN       NaN       1.0       NaN   \n",
       "2                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 1.0       NaN       NaN       NaN       7.0       1.0   \n",
       "4                 NaN       1.0       NaN       1.0       1.0       3.0   \n",
       "\n",
       "customer_id  5319411   5333309   5351670   5352934   5353298   5360260   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "4                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  5367780   5373287   5377646   5378522   5385816   5389007   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       6.0       NaN       NaN       NaN       2.0   \n",
       "1                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  5392349   5398205   5413522   5415486   5418418   5418695   \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       3.0       1.0   \n",
       "\n",
       "customer_id  5427708   5435992   5436414   5436835   5437224   5442432   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       1.0       2.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       3.0       NaN   \n",
       "2                 NaN       NaN       1.0       3.0       NaN       2.0   \n",
       "3                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "4                 NaN       NaN       2.0       1.0       3.0       NaN   \n",
       "\n",
       "customer_id  5443235   5444680   5450195   5459938   5462230   5466673   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       1.0       NaN       NaN       NaN   \n",
       "1                 NaN       3.0       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       1.0       3.0       1.0       NaN       NaN   \n",
       "4                 1.0       1.0       1.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  5470193   5471887   5478802   5487033   5496106   5501127   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       NaN       1.0       4.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       3.0   \n",
       "2                 NaN       NaN       5.0       NaN       NaN       4.0   \n",
       "3                 NaN       1.0       2.0       NaN       NaN       NaN   \n",
       "4                 NaN       1.0       2.0       NaN       NaN       3.0   \n",
       "\n",
       "customer_id  5501842   5503018   5503337   5509085   5522306   5524414   \\\n",
       "num_day                                                                   \n",
       "0                 1.0       3.0       NaN       NaN       NaN       1.0   \n",
       "1                 2.0       1.0       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       1.0       NaN       NaN       NaN       1.0   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       2.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  5528601   5529000   5534381   5537969   5540528   5542063   \\\n",
       "num_day                                                                   \n",
       "0                 6.0       4.0       NaN       NaN       NaN       2.0   \n",
       "1                 4.0       NaN       NaN       NaN       NaN       1.0   \n",
       "2                 3.0       2.0       NaN       NaN       NaN       NaN   \n",
       "3                 3.0       1.0       NaN       NaN       2.0       3.0   \n",
       "4                10.0       2.0       NaN       NaN       NaN       2.0   \n",
       "\n",
       "customer_id  5542744   5546147   5552193   5577042   5587263   5591410   \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       1.0       7.0       NaN   \n",
       "1                 NaN       1.0       NaN       NaN       2.0       1.0   \n",
       "2                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "3                 1.0       2.0       NaN       3.0       NaN       2.0   \n",
       "4                 NaN       1.0       1.0       3.0       NaN       1.0   \n",
       "\n",
       "customer_id  5593208   5593463   5595865   5600220   5607565   5613605   \\\n",
       "num_day                                                                   \n",
       "0                 1.0       7.0       NaN       NaN       2.0       NaN   \n",
       "1                 2.0       2.0       NaN       NaN       3.0       1.0   \n",
       "2                 NaN       1.0       NaN       NaN       1.0       1.0   \n",
       "3                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       3.0       NaN   \n",
       "\n",
       "customer_id  5617583   5620371   5620816   5629290   5633658   5634804   \\\n",
       "num_day                                                                   \n",
       "0                 8.0       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 1.0       NaN       NaN       NaN       1.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                10.0       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 8.0       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  5647120   5648805   5650565   5658526   5666378   5675257   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "1                 NaN       1.0       6.0       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "3                 NaN       5.0       NaN       1.0       NaN       NaN   \n",
       "4                 NaN       2.0       1.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  5680412   5680700   5684340   5687203   5689927   5712129   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 1.0       NaN       1.0       NaN       NaN       NaN   \n",
       "3                 1.0       NaN       1.0       NaN       NaN       NaN   \n",
       "4                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  5721604   5728776   5740936   5741996   5752067   5783535   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       3.0       NaN       2.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 1.0       NaN       2.0       NaN       NaN       NaN   \n",
       "3                 1.0       NaN       4.0       NaN       NaN       NaN   \n",
       "4                 1.0       1.0       1.0       1.0       1.0       1.0   \n",
       "\n",
       "customer_id  5808030   5809907   5810923   5812748   5813739   5823643   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       3.0       NaN       1.0       NaN   \n",
       "1                 NaN       NaN       4.0       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       8.0       NaN       NaN       NaN   \n",
       "3                 NaN       3.0       2.0       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  5838549   5853490   5873100   5904549   5908926   5915744   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       4.0       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       3.0       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       2.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  5917074   5917486   5919289   5926636   5931846   5932441   \\\n",
       "num_day                                                                   \n",
       "0                 2.0       1.0       2.0       1.0       NaN       2.0   \n",
       "1                 1.0       NaN       3.0       5.0       NaN       3.0   \n",
       "2                 2.0       NaN       3.0       3.0       NaN       2.0   \n",
       "3                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       3.0       NaN       3.0   \n",
       "\n",
       "customer_id  5932512   5934823   5935382   5947256   5961422   5962572   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       2.0       1.0       NaN       NaN       NaN   \n",
       "1                 NaN       1.0       NaN       3.0       3.0       NaN   \n",
       "2                 NaN       1.0       NaN       1.0       3.0       NaN   \n",
       "3                 NaN       2.0       NaN       1.0       1.0       NaN   \n",
       "4                 1.0       NaN       NaN       1.0       3.0       NaN   \n",
       "\n",
       "customer_id  5963521   5970496   5970979   5979147   5985987   5987772   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  5990895   5993610   5998515   6006279   6019747   6020257   \\\n",
       "num_day                                                                   \n",
       "0                 3.0       NaN       2.0       NaN       NaN       NaN   \n",
       "1                 3.0       NaN       4.0       NaN       3.0       2.0   \n",
       "2                 2.0       NaN       4.0       NaN       NaN       NaN   \n",
       "3                 4.0       1.0       NaN       NaN       1.0       3.0   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  6022714   6028275   6030492   6037894   6040453   6040512   \\\n",
       "num_day                                                                   \n",
       "0                 1.0       2.0       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       3.0       NaN       NaN       NaN       NaN   \n",
       "3                 1.0       NaN       NaN       NaN       1.0       NaN   \n",
       "4                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  6045735   6051223   6051980   6057858   6058567   6070760   \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       2.0       NaN       NaN       1.0   \n",
       "1                 NaN       NaN       3.0       NaN       NaN       1.0   \n",
       "2                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       3.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  6077466   6079821   6085926   6087150   6092042   6094078   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 1.0       NaN       NaN       NaN       1.0       1.0   \n",
       "4                 2.0       NaN       NaN       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  6095580   6128165   6138865   6139126   6142398   6147623   \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       1.0       1.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "2                 NaN       NaN       NaN       1.0       1.0       NaN   \n",
       "3                 NaN       6.0       NaN       2.0       2.0       NaN   \n",
       "4                 1.0       NaN       NaN       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  6168444   6177329   6180127   6186589   6193106   6199148   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  6201435   6211153   6216558   6222309   6226624   6229170   \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       NaN       1.0       5.0       2.0   \n",
       "1                 NaN       NaN       NaN       2.0       1.0       1.0   \n",
       "2                 3.0       NaN       NaN       NaN       3.0       1.0   \n",
       "3                 NaN       NaN       NaN       2.0       3.0       NaN   \n",
       "4                 NaN       NaN       NaN       1.0       8.0       1.0   \n",
       "\n",
       "customer_id  6230637   6231503   6237240   6238596   6250312   6252294   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       3.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "3                 2.0       NaN       NaN       NaN       2.0       NaN   \n",
       "4                 1.0       NaN       NaN       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  6260068   6263636   6264405   6280463   6291054   6297061   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       1.0       1.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "3                 NaN       2.0       NaN       1.0       1.0       NaN   \n",
       "4                 NaN       NaN       NaN       1.0       1.0       NaN   \n",
       "\n",
       "customer_id  6299035   6307377   6309281   6314083   6314385   6317738   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       2.0       2.0       NaN       NaN       NaN   \n",
       "1                 2.0       3.0       1.0       1.0       NaN       NaN   \n",
       "2                 1.0       2.0       4.0       NaN       1.0       NaN   \n",
       "3                 2.0       2.0       2.0       NaN       NaN       NaN   \n",
       "4                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  6318309   6318474   6323787   6324026   6329922   6335360   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       1.0       3.0       1.0       NaN   \n",
       "1                 NaN       1.0       1.0       6.0       1.0       NaN   \n",
       "2                 NaN       2.0       NaN       3.0       NaN       NaN   \n",
       "3                 NaN       2.0       NaN       2.0       NaN       NaN   \n",
       "4                 NaN       7.0       NaN       2.0       NaN       NaN   \n",
       "\n",
       "customer_id  6342326   6349212   6352651   6393719   6402276   6402566   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "1                 1.0       NaN       NaN       2.0       NaN       NaN   \n",
       "2                 3.0       NaN       NaN       1.0       NaN       NaN   \n",
       "3                 3.0       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  6411933   6419331   6429626   6443703   6445707   6451329   \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       4.0       NaN       NaN   \n",
       "1                 NaN       1.0       NaN       1.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       3.0       NaN       NaN   \n",
       "\n",
       "customer_id  6461724   6463540   6466909   6506523   6506671   6507142   \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       5.0      24.0       1.0       NaN   \n",
       "1                 NaN       NaN       1.0      11.0       2.0       NaN   \n",
       "2                 1.0       NaN       NaN       4.0       1.0       NaN   \n",
       "3                 NaN       NaN       1.0       2.0       NaN       NaN   \n",
       "4                 NaN       NaN       5.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  6509235   6512034   6519857   6522539   6528607   6543228   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       5.0       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       1.0       NaN       NaN       2.0   \n",
       "3                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "4                 1.0       1.0       NaN       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  6563583   6566340   6572814   6590445   6596740   6599408   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       4.0       3.0       NaN       2.0       2.0   \n",
       "1                 NaN       NaN       1.0       4.0       NaN       NaN   \n",
       "2                 NaN       1.0       2.0       NaN       NaN       NaN   \n",
       "3                 NaN       4.0       2.0       NaN       NaN       7.0   \n",
       "4                 NaN       4.0       3.0       1.0       NaN       4.0   \n",
       "\n",
       "customer_id  6609708   6611252   6620779   6622273   6633860   6673556   \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       NaN       NaN       NaN       2.0   \n",
       "1                 NaN       1.0       1.0       1.0       NaN       NaN   \n",
       "2                 1.0       NaN       NaN       NaN       NaN       3.0   \n",
       "3                 1.0       1.0       NaN       NaN       3.0       NaN   \n",
       "4                 NaN       1.0       NaN       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  6680148   6687045   6688106   6693917   6710884   6715387   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "3                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       3.0       NaN       NaN   \n",
       "\n",
       "customer_id  6725289   6732250   6736634   6740969   6743603   6761809   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       2.0     105.0       3.0       NaN       2.0   \n",
       "1                 NaN       NaN      33.0       6.0       1.0       NaN   \n",
       "2                 NaN       NaN      17.0       6.0       3.0       NaN   \n",
       "3                 NaN       2.0      54.0       4.0       1.0       2.0   \n",
       "4                 1.0       3.0     117.0       3.0       3.0       2.0   \n",
       "\n",
       "customer_id  6764684   6766644   6777272   6779155   6781439   6793144   \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  6794075   6802435   6808459   6812280   6833739   6839194   \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       2.0       NaN       NaN       1.0   \n",
       "1                 NaN       NaN       5.0       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       3.0       NaN       NaN       2.0   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  6842158   6845060   6846017   6847796   6898820   6903543   \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       1.0       NaN       4.0       NaN   \n",
       "1                 1.0       NaN       NaN       NaN       3.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       3.0       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  6905027   6909825   6912082   6912161   6913631   6914241   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       4.0       NaN       NaN       NaN       1.0   \n",
       "1                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "2                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       3.0       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       3.0       NaN       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  6915116   6915128   6915792   6916077   6916371   6918821   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       4.0       8.0       NaN       6.0       3.0   \n",
       "1                 NaN       6.0       6.0       NaN       1.0       1.0   \n",
       "2                 NaN       3.0       3.0       NaN       3.0       NaN   \n",
       "3                 NaN       2.0       3.0       1.0       3.0       1.0   \n",
       "4                 1.0       1.0       9.0       2.0       NaN       1.0   \n",
       "\n",
       "customer_id  6920906   6927639   6933973   6959386   6966209   6966699   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       2.0       NaN       NaN       1.0       NaN   \n",
       "1                 NaN       5.0       NaN       NaN       NaN       NaN   \n",
       "2                 1.0       2.0       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  6967729   6987246   6987375   6992283   7031302   7036054   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       4.0       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "2                 2.0       NaN       1.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       4.0       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  7039985   7042491   7050763   7052402   7054459   7063514   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       2.0       NaN       NaN   \n",
       "1                 1.0       NaN       NaN       NaN       NaN       6.0   \n",
       "2                 NaN       2.0       3.0       NaN       NaN       1.0   \n",
       "3                 NaN       NaN       1.0       NaN       1.0       NaN   \n",
       "4                 NaN       NaN       1.0       NaN       1.0       1.0   \n",
       "\n",
       "customer_id  7065498   7087306   7098418   7102003   7124049   7125539   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       3.0       2.0       NaN       NaN       NaN   \n",
       "1                 4.0       1.0       1.0       NaN       2.0       NaN   \n",
       "2                 2.0       1.0       NaN       NaN       NaN       NaN   \n",
       "3                 3.0       2.0       1.0       NaN       1.0       NaN   \n",
       "4                 2.0       4.0       NaN       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  7132058   7142110   7142686   7153661   7154063   7168161   \\\n",
       "num_day                                                                   \n",
       "0                 1.0       2.0       1.0       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       1.0       1.0   \n",
       "2                 NaN       2.0       1.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "4                 NaN       1.0       1.0       NaN       1.0       2.0   \n",
       "\n",
       "customer_id  7172931   7174462   7175187   7176009   7176153   7184486   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       1.0       2.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       1.0       NaN       1.0   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  7190640   7191842   7194458   7196194   7196791   7219212   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       3.0       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 1.0       NaN       2.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       2.0       NaN       NaN       2.0   \n",
       "4                 1.0       NaN       3.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  7229557   7231587   7259712   7260407   7267558   7271267   \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 1.0       NaN       NaN       NaN       1.0       NaN   \n",
       "2                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 3.0       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  7274248   7277718   7278173   7278214   7286014   7292705   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "1                 NaN       1.0       NaN       1.0       NaN       NaN   \n",
       "2                 NaN       2.0       NaN       2.0       NaN       NaN   \n",
       "3                 NaN       3.0       NaN       2.0       NaN       2.0   \n",
       "4                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  7308945   7326967   7334738   7343989   7346340   7346475   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       2.0       5.0       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       5.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       4.0       NaN       NaN       NaN   \n",
       "4                 NaN       2.0       2.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  7351769   7352986   7361878   7417224   7418478   7422874   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       1.0       NaN       1.0   \n",
       "1                 NaN       NaN       NaN       1.0       2.0       5.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 1.0       NaN       NaN       3.0       7.0       NaN   \n",
       "\n",
       "customer_id  7423280   7431256   7443671   7451151   7460402   7468632   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "1                 2.0       5.0       NaN       2.0       1.0       NaN   \n",
       "2                 NaN       1.0       4.0       NaN       1.0       NaN   \n",
       "3                 NaN       1.0       3.0       1.0       1.0       NaN   \n",
       "4                 1.0       NaN       NaN       1.0       1.0       1.0   \n",
       "\n",
       "customer_id  7476065   7478275   7479579   7481941   7507788   7515266   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "3                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "4                 NaN       2.0       NaN       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  7516658   7519952   7529955   7537770   7543476   7544591   \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       NaN       4.0       6.0       NaN   \n",
       "1                 1.0       NaN       NaN       NaN       7.0       NaN   \n",
       "2                 1.0       NaN       NaN       2.0       7.0       NaN   \n",
       "3                 2.0       NaN       NaN       2.0       8.0       NaN   \n",
       "4                 2.0       NaN       NaN       1.0       5.0       NaN   \n",
       "\n",
       "customer_id  7579423   7582139   7588127   7590031   7598703   7606330   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       4.0       NaN       5.0       1.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "2                 NaN       1.0       NaN       NaN       1.0       NaN   \n",
       "3                 NaN       NaN       5.0       NaN       NaN       NaN   \n",
       "4                 1.0       NaN       NaN       NaN       2.0       NaN   \n",
       "\n",
       "customer_id  7611417   7615738   7617756   7636954   7643575   7654410   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 1.0       1.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  7664058   7675526   7710959   7712208   7722362   7736277   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       3.0       3.0       NaN       2.0   \n",
       "1                 NaN       4.0       2.0       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       3.0   \n",
       "3                 NaN       NaN       3.0       NaN       2.0       3.0   \n",
       "4                 NaN       NaN       3.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  7738080   7738852   7756714   7764729   7768600   7771402   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       2.0       NaN       3.0       5.0       1.0   \n",
       "1                 1.0       NaN       NaN       1.0       NaN       NaN   \n",
       "2                 NaN       1.0       NaN       1.0       NaN       3.0   \n",
       "3                 NaN       NaN       NaN       3.0       NaN       5.0   \n",
       "4                 NaN       NaN       NaN       3.0       2.0       NaN   \n",
       "\n",
       "customer_id  7793842   7796559   7802557   7802693   7804718   7808483   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       3.0       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       5.0       2.0       NaN       NaN   \n",
       "2                 NaN       NaN       4.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       3.0       NaN       NaN       NaN   \n",
       "4                 9.0       NaN       1.0       NaN       NaN       2.0   \n",
       "\n",
       "customer_id  7810466   7817146   7822048   7825000   7832145   7839132   \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       2.0       NaN       1.0   \n",
       "3                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  7841704   7846872   7864129   7871833   7902188   7902956   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       1.0       NaN       NaN   \n",
       "1                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "2                 NaN       1.0       NaN       NaN       1.0       NaN   \n",
       "3                 NaN       NaN       4.0       2.0       2.0       NaN   \n",
       "4                 NaN       1.0       2.0       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  7923600   7923928   7925539   7927145   7927648   7928829   \\\n",
       "num_day                                                                   \n",
       "0                 3.0       NaN       3.0       NaN       1.0       1.0   \n",
       "1                 1.0       2.0       1.0       NaN       NaN       NaN   \n",
       "2                 1.0       1.0       1.0       NaN       NaN       NaN   \n",
       "3                 3.0       2.0       4.0       3.0       1.0       1.0   \n",
       "4                 NaN       NaN       2.0       6.0       1.0       NaN   \n",
       "\n",
       "customer_id  7934309   7935433   7941670   7942300   7967711   7969887   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       3.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       4.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       4.0   \n",
       "3                 NaN       NaN       NaN       2.0       1.0       3.0   \n",
       "4                 2.0       NaN       NaN       NaN       NaN       3.0   \n",
       "\n",
       "customer_id  7977162   7981404   7992478   7999570   7999946   8005009   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       5.0       1.0      32.0       NaN       NaN   \n",
       "1                 NaN       4.0       NaN       NaN       1.0       NaN   \n",
       "2                 1.0       1.0       NaN       NaN       NaN       NaN   \n",
       "3                 1.0       2.0       NaN      34.0       NaN       NaN   \n",
       "4                 1.0       1.0       NaN      25.0       NaN       NaN   \n",
       "\n",
       "customer_id  8009719   8014460   8021143   8025077   8039667   8039989   \\\n",
       "num_day                                                                   \n",
       "0                 1.0      47.0       NaN       NaN       NaN       NaN   \n",
       "1                 NaN      22.0       NaN       NaN       NaN       NaN   \n",
       "2                 3.0      15.0       NaN       NaN       NaN       NaN   \n",
       "3                 1.0      14.0       NaN       NaN       2.0       NaN   \n",
       "4                 NaN       9.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  8043822   8050601   8057640   8062673   8071073   8082257   \\\n",
       "num_day                                                                   \n",
       "0                 1.0       6.0       2.0       NaN       NaN       4.0   \n",
       "1                 1.0       NaN       NaN       NaN       NaN       1.0   \n",
       "2                 NaN       1.0       NaN       NaN       NaN       1.0   \n",
       "3                 2.0       2.0       2.0       NaN       NaN       1.0   \n",
       "4                 2.0       NaN       2.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  8093190   8109575   8114521   8114551   8114563   8115829   \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "3                 1.0       NaN       NaN       NaN       NaN       2.0   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "\n",
       "customer_id  8117702   8125810   8128547   8132064   8132820   8133598   \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       3.0       1.0       NaN   \n",
       "1                 NaN       NaN       1.0       9.0       NaN       NaN   \n",
       "2                 2.0       NaN       1.0       2.0       NaN       NaN   \n",
       "3                 3.0       NaN       2.0       4.0       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  8134877   8144041   8147226   8150077   8159766   8176780   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       3.0       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       1.0       1.0       NaN       1.0   \n",
       "3                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       1.0       2.0       NaN       NaN   \n",
       "\n",
       "customer_id  8180048   8180711   8189454   8189528   8200905   8222311   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       8.0       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       4.0       1.0       NaN       NaN       NaN   \n",
       "4                 NaN       5.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  8224467   8228823   8232432   8232645   8241012   8241160   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       3.0       2.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       5.0       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  8242368   8247744   8248366   8250969   8251225   8251515   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       3.0       1.0       1.0   \n",
       "1                 NaN       1.0       NaN       1.0       NaN       NaN   \n",
       "2                 NaN       1.0       NaN       1.0       NaN       1.0   \n",
       "3                 NaN       4.0       NaN       5.0       NaN       1.0   \n",
       "4                 NaN       2.0       NaN       4.0       NaN       NaN   \n",
       "\n",
       "customer_id  8260849   8268076   8269375   8283288   8293832   8311063   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       3.0       1.0       5.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       1.0       3.0       NaN   \n",
       "2                 NaN       1.0       NaN       NaN       2.0       NaN   \n",
       "3                 NaN       1.0       NaN       NaN       4.0       NaN   \n",
       "4                 2.0       4.0       NaN       NaN       4.0       NaN   \n",
       "\n",
       "customer_id  8318445   8320225   8329675   8333280   8334161   8336166   \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       NaN       1.0       1.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "4                 1.0       NaN       NaN       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  8343937   8356198   8358210   8359045   8365381   8367960   \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       NaN       1.0       1.0   \n",
       "1                 NaN       NaN       NaN       NaN       2.0       1.0   \n",
       "2                 NaN       NaN       3.0       NaN       NaN       1.0   \n",
       "3                 NaN       NaN       NaN       NaN       NaN      18.0   \n",
       "4                 NaN       1.0       2.0       NaN       3.0      13.0   \n",
       "\n",
       "customer_id  8386564   8386842   8399326   8400970   8403849   8409250   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       2.0       NaN       2.0       NaN   \n",
       "4                 NaN       NaN       1.0       NaN       4.0       2.0   \n",
       "\n",
       "customer_id  8411774   8413983   8415834   8416735   8424966   8425008   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       1.0       NaN       1.0   \n",
       "1                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "2                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       1.0       1.0       NaN   \n",
       "4                 NaN       2.0       NaN       4.0       NaN       NaN   \n",
       "\n",
       "customer_id  8440186   8443180   8454711   8458350   8459203   8462275   \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       1.0       NaN       NaN       1.0   \n",
       "1                 4.0       2.0       NaN       NaN       NaN       NaN   \n",
       "2                 5.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 5.0       NaN       1.0       NaN       NaN       2.0   \n",
       "4                10.0       NaN       NaN       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  8467346   8470300   8471690   8477993   8483940   8491771   \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 6.0       1.0       NaN       1.0       2.0       NaN   \n",
       "2                 NaN       1.0       NaN       NaN       2.0       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "4                 2.0       3.0       1.0       1.0       1.0       NaN   \n",
       "\n",
       "customer_id  8495915   8501277   8508392   8542206   8552161   8554153   \\\n",
       "num_day                                                                   \n",
       "0                 4.0       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "2                 1.0       NaN       NaN       1.0       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "4                 3.0       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  8556253   8557916   8558731   8569972   8572281   8573680   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       3.0       1.0   \n",
       "1                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       1.0       1.0   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "4                 NaN       NaN       NaN       NaN       2.0       1.0   \n",
       "\n",
       "customer_id  8576527   8578679   8583485   8586902   8596353   8596945   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  8605057   8610584   8611938   8612909   8613826   8619476   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       2.0       NaN       4.0       1.0   \n",
       "1                 NaN       1.0       2.0       2.0       1.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       1.0       5.0   \n",
       "3                 NaN       2.0       4.0       2.0       NaN       2.0   \n",
       "4                 NaN       1.0       NaN       2.0       2.0       2.0   \n",
       "\n",
       "customer_id  8623898   8632588   8632843   8645348   8650969   8664193   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "2                 1.0       NaN       NaN       NaN       1.0       NaN   \n",
       "3                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       1.0       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  8671950   8673276   8681587   8682085   8683178   8685331   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       1.0       2.0       4.0   \n",
       "1                 NaN       NaN       NaN       NaN       6.0       3.0   \n",
       "2                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       2.0       2.0       NaN   \n",
       "4                 NaN       NaN       NaN       4.0       NaN       NaN   \n",
       "\n",
       "customer_id  8692746   8710127   8734937   8738158   8739208   8768990   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       1.0       1.0   \n",
       "2                 NaN       NaN       NaN       NaN       1.0       2.0   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       5.0   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       3.0   \n",
       "\n",
       "customer_id  8779120   8785015   8788091   8788444   8790528   8802446   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 1.0       1.0       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "3                 NaN       1.0       NaN       NaN       8.0       NaN   \n",
       "4                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  8806206   8812290   8816632   8819230   8822658   8828213   \\\n",
       "num_day                                                                   \n",
       "0                 3.0       2.0       1.0       NaN       NaN       NaN   \n",
       "1                 2.0       NaN       1.0       NaN       NaN       NaN   \n",
       "2                 5.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       3.0       1.0       1.0       NaN       NaN   \n",
       "4                 4.0       1.0       NaN       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  8833326   8834477   8836504   8848607   8859845   8860625   \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 3.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       3.0       NaN       NaN   \n",
       "3                 1.0       NaN       NaN       3.0       NaN       NaN   \n",
       "4                 6.0       NaN       NaN       2.0       NaN       NaN   \n",
       "\n",
       "customer_id  8860759   8871805   8885733   8890644   8903486   8918702   \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 5.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 2.0       NaN       1.0       NaN       NaN       NaN   \n",
       "4                 1.0       1.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  8928713   8941778   8942066   8954870   8956496   8958297   \\\n",
       "num_day                                                                   \n",
       "0                 2.0       2.0       NaN       NaN       NaN       NaN   \n",
       "1                 2.0       NaN       3.0       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "3                 NaN       5.0       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       1.0       2.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  8962721   8976003   8986053   8989665   8997105   9002442   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       NaN       2.0       NaN   \n",
       "1                 NaN       2.0       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  9018309   9030676   9032723   9036453   9044015   9045235   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       1.0       NaN       4.0   \n",
       "1                 NaN       NaN       NaN       1.0       NaN       4.0   \n",
       "2                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "3                 NaN       1.0       NaN       NaN       NaN       1.0   \n",
       "4                 NaN       1.0       NaN       NaN       1.0       1.0   \n",
       "\n",
       "customer_id  9054088   9055616   9060208   9064527   9072964   9074485   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       5.0       NaN       NaN       1.0       2.0   \n",
       "1                 NaN       1.0       NaN       NaN       NaN       3.0   \n",
       "2                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       5.0       NaN       NaN       NaN       2.0   \n",
       "4                 NaN       3.0       NaN       NaN       NaN       2.0   \n",
       "\n",
       "customer_id  9075126   9076075   9085668   9093576   9094483   9099643   \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 5.0       NaN       NaN       NaN       2.0       NaN   \n",
       "4                 1.0       NaN       NaN       NaN       1.0       1.0   \n",
       "\n",
       "customer_id  9105198   9106768   9108377   9109443   9112223   9118054   \\\n",
       "num_day                                                                   \n",
       "0                 1.0       1.0       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "2                 1.0       1.0       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       2.0       NaN       NaN       NaN       NaN   \n",
       "4                 1.0       NaN       1.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  9119707   9139247   9144745   9149677   9156029   9178598   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       1.0       1.0       NaN       1.0       NaN   \n",
       "4                 NaN       NaN       2.0       NaN       2.0       NaN   \n",
       "\n",
       "customer_id  9184053   9185026   9185090   9192624   9193138   9200964   \\\n",
       "num_day                                                                   \n",
       "0                 1.0       2.0       NaN       NaN       NaN       NaN   \n",
       "1                 1.0       NaN       NaN       NaN       1.0       NaN   \n",
       "2                 1.0       6.0       1.0       NaN       NaN       NaN   \n",
       "3                 1.0       NaN       NaN       NaN       1.0       1.0   \n",
       "4                 1.0       NaN       NaN       2.0       NaN       NaN   \n",
       "\n",
       "customer_id  9210299   9211054   9256099   9276986   9279596   9279923   \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       NaN       1.0       NaN       NaN   \n",
       "1                 5.0       2.0       NaN       NaN       NaN       1.0   \n",
       "2                 1.0       NaN       NaN       NaN       NaN       2.0   \n",
       "3                 6.0       2.0       NaN       NaN       NaN       NaN   \n",
       "4                 6.0       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  9282182   9298618   9300822   9305117   9305819   9314238   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       6.0       NaN       NaN       NaN       2.0   \n",
       "1                 NaN       NaN       NaN       1.0       6.0       NaN   \n",
       "2                 NaN       3.0       NaN       NaN       2.0       NaN   \n",
       "3                 NaN       NaN       NaN       1.0       3.0       2.0   \n",
       "4                 NaN       3.0       1.0       1.0       6.0       NaN   \n",
       "\n",
       "customer_id  9325949   9333277   9337468   9347211   9353024   9353057   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       6.0       NaN       1.0   \n",
       "1                 NaN       1.0       2.0       3.0       5.0       NaN   \n",
       "2                 NaN       1.0       2.0       2.0       2.0       NaN   \n",
       "3                 NaN       1.0       1.0       NaN       1.0       NaN   \n",
       "4                 NaN       1.0       8.0       2.0       1.0       NaN   \n",
       "\n",
       "customer_id  9363087   9363735   9373238   9384247   9391844   9398001   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "2                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "3                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 1.0       NaN       NaN       NaN       3.0       NaN   \n",
       "\n",
       "customer_id  9406402   9416140   9416660   9426491   9435622   9442456   \\\n",
       "num_day                                                                   \n",
       "0                 1.0       2.0       NaN       NaN       NaN       1.0   \n",
       "1                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "2                 3.0       NaN       NaN       NaN       NaN       2.0   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "4                 1.0       1.0       NaN       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  9443030   9451749   9457606   9459005   9461916   9464652   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       3.0       NaN       1.0       NaN       NaN   \n",
       "1                 NaN       NaN       3.0       NaN       NaN       NaN   \n",
       "2                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       1.0       1.0       NaN       NaN   \n",
       "4                 5.0       4.0       1.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  9470892   9482428   9497605   9511061   9515541   9518822   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       3.0       1.0       NaN       NaN   \n",
       "1                 NaN       1.0       2.0       NaN       NaN       NaN   \n",
       "2                 NaN       1.0       5.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "4                 NaN       6.0       2.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  9531382   9534903   9541655   9546077   9554115   9558317   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       3.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       1.0       NaN       5.0       NaN   \n",
       "4                 NaN       NaN       NaN       2.0       1.0       1.0   \n",
       "\n",
       "customer_id  9568127   9572517   9598077   9605096   9607614   9610338   \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       NaN       NaN       6.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "2                 NaN       NaN       1.0       NaN       1.0       4.0   \n",
       "3                 1.0       NaN       NaN       2.0       1.0       NaN   \n",
       "4                 NaN       NaN       NaN       2.0       NaN       1.0   \n",
       "\n",
       "customer_id  9628464   9651531   9659665   9659888   9667257   9672790   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "1                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "3                 1.0       NaN       1.0       NaN       NaN       4.0   \n",
       "4                 NaN       NaN       1.0       NaN       NaN       4.0   \n",
       "\n",
       "customer_id  9673243   9688107   9690524   9700419   9708480   9710131   \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       NaN       NaN       2.0   \n",
       "1                 5.0       NaN       3.0       NaN       NaN       2.0   \n",
       "2                 1.0       NaN       2.0       NaN       2.0       NaN   \n",
       "3                 2.0       NaN       3.0       NaN       2.0       NaN   \n",
       "4                 3.0       NaN       6.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  9711806   9712394   9718695   9736073   9742039   9745595   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       4.0   \n",
       "1                 NaN       2.0       NaN       NaN       NaN       NaN   \n",
       "2                 2.0       NaN       NaN       NaN       NaN       1.0   \n",
       "3                 NaN       4.0       NaN       NaN       NaN       2.0   \n",
       "4                 NaN       3.0       NaN       NaN       NaN       4.0   \n",
       "\n",
       "customer_id  9745763   9794224   9807993   9811952   9814308   9819899   \\\n",
       "num_day                                                                   \n",
       "0                 5.0       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       1.0       3.0       NaN       1.0   \n",
       "4                 1.0       NaN       NaN       NaN       NaN       2.0   \n",
       "\n",
       "customer_id  9822227   9833492   9841413   9854677   9863722   9869167   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       3.0       NaN       NaN       NaN   \n",
       "3                 NaN       2.0       1.0       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  9870684   9871840   9872815   9882523   9893137   9894840   \\\n",
       "num_day                                                                   \n",
       "0                 3.0       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 1.0       NaN       NaN       1.0       3.0       NaN   \n",
       "2                 1.0       NaN       NaN       NaN       4.0       NaN   \n",
       "3                 NaN       NaN       1.0       NaN       2.0       NaN   \n",
       "4                 2.0       1.0       NaN       NaN       3.0       NaN   \n",
       "\n",
       "customer_id  9897478   9898769   9899289   9899803   9906759   9915657   \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       NaN       NaN       4.0       2.0   \n",
       "1                 NaN       NaN       2.0       NaN       3.0       3.0   \n",
       "2                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "3                 NaN       NaN       3.0       NaN       4.0       1.0   \n",
       "4                 NaN       NaN       4.0       NaN       5.0       NaN   \n",
       "\n",
       "customer_id  9922882   9925050   9945756   9962760   9963632   9967570   \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       NaN       NaN       2.0   \n",
       "1                 NaN       NaN       NaN       1.0       NaN       1.0   \n",
       "2                 NaN       NaN       NaN       NaN       1.0       4.0   \n",
       "3                 2.0       NaN       2.0       NaN       NaN       8.0   \n",
       "4                 1.0       NaN       NaN       2.0       1.0       6.0   \n",
       "\n",
       "customer_id  9967644   9978107   9978856   9982735   9987401   9987500   \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       4.0       NaN       NaN   \n",
       "2                 3.0       NaN       4.0       NaN       NaN       NaN   \n",
       "3                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 2.0       NaN       NaN       NaN       NaN       3.0   \n",
       "\n",
       "customer_id  9992069   10003267  10004871  10005741  10011328  10014090  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       2.0       9.0       NaN      13.0       NaN   \n",
       "1                 NaN       1.0       3.0       1.0       3.0       NaN   \n",
       "2                 NaN       2.0       4.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       4.0       1.0       1.0       1.0   \n",
       "4                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  10018695  10023080  10026296  10034284  10045498  10055880  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  10056437  10058557  10058778  10063530  10064386  10066310  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       7.0       NaN       3.0       NaN       NaN   \n",
       "1                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 5.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 2.0       5.0       NaN       7.0       NaN       NaN   \n",
       "4                 9.0       5.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  10067396  10071732  10078312  10094853  10110730  10126330  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       2.0       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       1.0       NaN       NaN       NaN       1.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  10159490  10166707  10171705  10176170  10179649  10206133  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       NaN       1.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "\n",
       "customer_id  10229977  10230827  10246339  10252148  10257726  10259614  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       1.0       NaN       NaN   \n",
       "1                 2.0       3.0       NaN       NaN       NaN       NaN   \n",
       "2                11.0       NaN       NaN       1.0       NaN       NaN   \n",
       "3                 1.0       3.0       NaN       1.0       NaN       NaN   \n",
       "4                 NaN       2.0       NaN       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  10269885  10280886  10290561  10303548  10304262  10309206  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       8.0       1.0       NaN   \n",
       "4                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "\n",
       "customer_id  10324267  10328342  10331386  10334951  10344936  10353051  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       NaN       1.0       2.0   \n",
       "1                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "3                 NaN       NaN       NaN       1.0       1.0       1.0   \n",
       "4                 NaN       1.0       NaN       1.0       4.0       1.0   \n",
       "\n",
       "customer_id  10364899  10373501  10376120  10376412  10377190  10384721  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       2.0       NaN       NaN   \n",
       "1                 NaN       3.0       NaN       NaN       1.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "3                 NaN       5.0       NaN       1.0       NaN       NaN   \n",
       "4                 NaN       1.0       NaN       1.0       1.0       NaN   \n",
       "\n",
       "customer_id  10385103  10403039  10403659  10413542  10464121  10467007  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "3                 1.0       NaN       NaN       NaN       1.0       1.0   \n",
       "4                 NaN       NaN       2.0       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  10469400  10476857  10482140  10490454  10493682  10499284  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       1.0       NaN       2.0       2.0   \n",
       "1                 NaN       NaN       1.0       1.0       5.0       2.0   \n",
       "2                 NaN       NaN       2.0       NaN       1.0       2.0   \n",
       "3                 NaN       NaN      11.0       NaN       2.0       1.0   \n",
       "4                 NaN       NaN       3.0       1.0       2.0       NaN   \n",
       "\n",
       "customer_id  10506836  10519292  10521111  10524021  10565884  10574425  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       4.0       NaN       NaN       NaN   \n",
       "1                 NaN       2.0       NaN       NaN       NaN       1.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       1.0       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  10589831  10596896  10598219  10600725  10600843  10607076  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       2.0       1.0       NaN   \n",
       "1                 3.0       NaN       1.0       2.0       NaN       NaN   \n",
       "2                 5.0       NaN       NaN       NaN       1.0       NaN   \n",
       "3                 1.0       NaN       NaN       NaN       1.0       NaN   \n",
       "4                 8.0       NaN       1.0       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  10645422  10646582  10651006  10656890  10657243  10666447  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       1.0       NaN       NaN   \n",
       "1                 NaN       NaN       1.0       1.0       NaN       NaN   \n",
       "2                 NaN       1.0       NaN       2.0       NaN       NaN   \n",
       "3                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       1.0       2.0       NaN       NaN   \n",
       "\n",
       "customer_id  10678387  10681267  10682079  10685683  10690962  10693331  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       NaN       1.0       NaN   \n",
       "1                 3.0       NaN       NaN       NaN       2.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "4                 2.0       NaN       NaN       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  10696706  10702887  10711025  10720023  10720945  10722119  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       2.0       NaN       2.0   \n",
       "1                 NaN       NaN       1.0       5.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "3                 NaN       NaN       1.0       NaN       NaN       1.0   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  10727511  10747474  10748004  10758984  10759723  10763919  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       NaN       NaN       1.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "2                 NaN       NaN       NaN       1.0       NaN       2.0   \n",
       "3                 NaN       1.0       NaN       NaN       1.0       1.0   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  10767925  10774706  10789064  10794338  10796448  10802212  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       4.0       NaN   \n",
       "3                 NaN       NaN       2.0       NaN       2.0       NaN   \n",
       "4                 NaN       1.0       NaN       NaN       2.0       NaN   \n",
       "\n",
       "customer_id  10802856  10805399  10810592  10812965  10814222  10818467  \\\n",
       "num_day                                                                   \n",
       "0                 4.0       2.0       NaN       NaN       1.0       NaN   \n",
       "1                 8.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 1.0       NaN       NaN       NaN       1.0       NaN   \n",
       "3                 3.0       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 8.0       4.0       1.0       NaN       1.0       1.0   \n",
       "\n",
       "customer_id  10831740  10832516  10835381  10839610  10845911  10867310  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       1.0       2.0       NaN   \n",
       "1                 NaN       1.0       NaN       1.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       5.0       1.0       1.0       1.0       NaN   \n",
       "4                 2.0       5.0       NaN       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  10875817  10877395  10886531  10888907  10890438  10895224  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       1.0       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       1.0       1.0       NaN       NaN       2.0   \n",
       "2                 NaN       1.0       NaN       NaN       1.0       NaN   \n",
       "3                 NaN       1.0       NaN       NaN       NaN       1.0   \n",
       "4                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  10909988  10915793  10928546  10930506  10954763  10966995  \\\n",
       "num_day                                                                   \n",
       "0                 3.0       4.0       3.0       NaN       3.0       3.0   \n",
       "1                 8.0       2.0       3.0       NaN       NaN       3.0   \n",
       "2                 1.0       NaN       1.0       NaN       NaN       4.0   \n",
       "3                 NaN       1.0       5.0       NaN       NaN       2.0   \n",
       "4                 NaN       1.0       4.0       NaN       NaN       4.0   \n",
       "\n",
       "customer_id  10967870  11007795  11032699  11039185  11056834  11060478  \\\n",
       "num_day                                                                   \n",
       "0                 3.0       NaN       4.0       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       4.0       NaN       NaN       NaN   \n",
       "2                 3.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 4.0       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  11062726  11065148  11071792  11073241  11077329  11080771  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       2.0       1.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       2.0       NaN       NaN       NaN       NaN   \n",
       "3                 5.0       NaN       NaN       1.0       3.0       NaN   \n",
       "4                 NaN       NaN       1.0       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  11089937  11092914  11094849  11107679  11109587  11114169  \\\n",
       "num_day                                                                   \n",
       "0                 3.0       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 7.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 3.0       NaN       1.0       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  11122702  11123573  11139526  11142729  11142969  11143956  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "1                 2.0       NaN       NaN       1.0       NaN       NaN   \n",
       "2                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 1.0       3.0       NaN       5.0       NaN       NaN   \n",
       "4                 2.0       NaN       5.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  11148023  11167057  11173473  11175443  11186103  11195829  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "2                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "3                 3.0       NaN       2.0       NaN       NaN       NaN   \n",
       "4                 3.0       1.0       3.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  11203768  11204688  11218538  11222990  11224986  11227474  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       2.0       1.0       NaN       NaN       5.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "2                 NaN       NaN       1.0       NaN       NaN       1.0   \n",
       "3                 NaN       1.0       1.0       NaN       NaN       6.0   \n",
       "4                 NaN       2.0       1.0       NaN       NaN       3.0   \n",
       "\n",
       "customer_id  11228581  11234608  11249127  11254893  11259870  11267999  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       NaN       NaN       1.0   \n",
       "1                 NaN       1.0       2.0       NaN       NaN       1.0   \n",
       "2                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  11279612  11281442  11288915  11291751  11292128  11294007  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       2.0       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       6.0       NaN   \n",
       "3                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  11316922  11321790  11325341  11327023  11330604  11332993  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       2.0       NaN       5.0       NaN       2.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "2                 NaN       NaN       3.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       1.0       NaN       NaN       2.0   \n",
       "4                 NaN       NaN       1.0       2.0       1.0       NaN   \n",
       "\n",
       "customer_id  11337455  11341232  11349383  11353867  11356541  11356888  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       2.0       1.0       4.0       2.0   \n",
       "1                 2.0       2.0       4.0       NaN       1.0       NaN   \n",
       "2                 1.0       2.0       2.0       NaN       3.0       NaN   \n",
       "3                 1.0       NaN       3.0       NaN       NaN       1.0   \n",
       "4                 NaN       1.0       2.0       1.0       3.0       NaN   \n",
       "\n",
       "customer_id  11358754  11365859  11370413  11373512  11376556  11377460  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 1.0       1.0       1.0       1.0       NaN       NaN   \n",
       "2                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 1.0       NaN       1.0       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  11381668  11397041  11397076  11403503  11416905  11419740  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       2.0       1.0       NaN   \n",
       "1                 NaN       NaN       NaN       4.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       7.0       1.0       5.0   \n",
       "3                 NaN       NaN       NaN       4.0       NaN       NaN   \n",
       "4                 1.0       NaN       3.0       3.0       NaN       4.0   \n",
       "\n",
       "customer_id  11421609  11425537  11434701  11446286  11447347  11449729  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       2.0       2.0       NaN   \n",
       "1                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "\n",
       "customer_id  11449765  11455048  11460051  11463393  11468930  11469033  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       1.0       2.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       5.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "3                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  11474181  11476779  11479064  11511328  11528415  11529524  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       3.0       1.0       NaN       NaN       NaN   \n",
       "1                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       2.0       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       1.0       2.0       NaN       NaN       NaN   \n",
       "4                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  11532626  11533763  11535483  11542491  11561813  11562634  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       2.0       NaN       3.0       NaN   \n",
       "1                 NaN       2.0       2.0       NaN       NaN       NaN   \n",
       "2                 NaN       1.0       1.0       NaN       1.0       NaN   \n",
       "3                 NaN       1.0       NaN       2.0       1.0       NaN   \n",
       "4                 NaN       1.0       NaN       NaN       2.0       NaN   \n",
       "\n",
       "customer_id  11573006  11576272  11576588  11585045  11596802  11604095  \\\n",
       "num_day                                                                   \n",
       "0                 8.0       NaN       NaN       1.0       2.0       3.0   \n",
       "1                 NaN       NaN       NaN       4.0       1.0       5.0   \n",
       "2                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       2.0       NaN       2.0   \n",
       "4                 NaN       NaN       NaN       1.0       1.0       NaN   \n",
       "\n",
       "customer_id  11613882  11621687  11624643  11625700  11627221  11627763  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  11631304  11631584  11631823  11637315  11639778  11653939  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       3.0       NaN   \n",
       "1                 NaN       8.0       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "3                 NaN       2.0       NaN       2.0       1.0       1.0   \n",
       "4                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  11661664  11661930  11671863  11677380  11681378  11691762  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       NaN       NaN       2.0       2.0   \n",
       "1                 NaN       NaN       NaN       1.0       3.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       1.0       2.0   \n",
       "3                 NaN       NaN       NaN       5.0       1.0       2.0   \n",
       "4                 NaN       NaN       NaN       2.0       1.0       4.0   \n",
       "\n",
       "customer_id  11701078  11702148  11703306  11724036  11734416  11738678  \\\n",
       "num_day                                                                   \n",
       "0                58.0       4.0       NaN       NaN       NaN       NaN   \n",
       "1                45.0       3.0       NaN       NaN       6.0       2.0   \n",
       "2                11.0       NaN       NaN       NaN       2.0       NaN   \n",
       "3                11.0       NaN       NaN       NaN       NaN       NaN   \n",
       "4                14.0       6.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  11739616  11763909  11765794  11777784  11819055  11819140  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       2.0       NaN       2.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       5.0       NaN   \n",
       "2                 NaN       1.0       NaN       NaN       4.0       NaN   \n",
       "3                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  11822388  11831433  11835383  11840983  11841860  11842227  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 2.0       NaN       NaN       NaN       NaN       1.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  11851829  11865703  11882317  11898035  11925955  11931236  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "1                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 6.0       NaN       NaN       NaN       2.0       NaN   \n",
       "3                 1.0       NaN       1.0       2.0       1.0       NaN   \n",
       "4                 NaN       NaN       1.0       NaN       3.0       NaN   \n",
       "\n",
       "customer_id  11931380  11935430  11946025  11947576  11963965  11967399  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       1.0       NaN       NaN       NaN   \n",
       "1                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "3                 1.0       5.0       1.0       NaN       NaN       NaN   \n",
       "4                 1.0       2.0       1.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  11971296  11983092  11994958  12001537  12010535  12019706  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       1.0       NaN       NaN   \n",
       "1                 NaN       NaN       3.0       NaN       6.0       NaN   \n",
       "2                 NaN       NaN       4.0       NaN       1.0       NaN   \n",
       "3                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       3.0       2.0       3.0       NaN   \n",
       "\n",
       "customer_id  12022974  12036459  12041525  12042186  12044720  12051455  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       1.0       NaN       NaN       NaN       2.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 2.0       NaN       1.0       NaN       NaN       2.0   \n",
       "4                 5.0       1.0       NaN       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  12053904  12056620  12058501  12059762  12064455  12067626  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       NaN       NaN       1.0   \n",
       "1                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "\n",
       "customer_id  12069120  12070067  12070296  12071388  12075801  12095671  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       3.0       NaN       NaN       1.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 1.0       NaN       NaN       NaN       1.0       2.0   \n",
       "3                 NaN       NaN       2.0       NaN       NaN       4.0   \n",
       "4                 4.0       NaN       4.0       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  12095826  12096448  12116728  12120260  12139199  12149925  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       NaN       NaN       1.0       NaN   \n",
       "1                 1.0       NaN       NaN       NaN       1.0       2.0   \n",
       "2                 1.0       NaN       1.0       NaN       NaN       3.0   \n",
       "3                 2.0       1.0       1.0       NaN       NaN       3.0   \n",
       "4                 3.0       NaN       NaN       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  12175094  12178012  12187862  12193461  12234095  12235801  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       6.0       1.0       1.0       NaN       NaN   \n",
       "1                 1.0       2.0       1.0       1.0       NaN       NaN   \n",
       "2                 NaN       2.0       NaN       1.0       NaN       NaN   \n",
       "3                 NaN       1.0       3.0       2.0       6.0       NaN   \n",
       "4                 2.0       3.0       4.0       1.0       3.0       NaN   \n",
       "\n",
       "customer_id  12236336  12239681  12241429  12252020  12254881  12258138  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       4.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  12261215  12269528  12273634  12279093  12280482  12281103  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       1.0       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       1.0       NaN       NaN       NaN       1.0   \n",
       "2                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 1.0       1.0       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       1.0       NaN       NaN       5.0       NaN   \n",
       "\n",
       "customer_id  12282192  12284205  12284486  12289409  12307571  12325802  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       3.0       NaN       2.0       NaN   \n",
       "1                 1.0       1.0       1.0       NaN       1.0       NaN   \n",
       "2                 1.0       NaN       1.0       NaN       NaN       NaN   \n",
       "3                 1.0       1.0       NaN       NaN       2.0       1.0   \n",
       "4                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  12336680  12338797  12342280  12374003  12390619  12403092  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       3.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 2.0       NaN       NaN       2.0       NaN       NaN   \n",
       "4                 NaN       2.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  12406425  12434084  12437618  12448845  12450114  12467102  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       2.0       NaN       2.0       2.0   \n",
       "1                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       3.0   \n",
       "4                 1.0       NaN       2.0       NaN       1.0       1.0   \n",
       "\n",
       "customer_id  12468790  12494146  12500141  12509777  12510907  12511084  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       5.0       3.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "2                 NaN       NaN       1.0       2.0       NaN       NaN   \n",
       "3                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "4                 NaN       1.0       1.0       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  12520991  12526703  12528382  12542015  12542657  12547172  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "2                 NaN       4.0       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       1.0       1.0       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       1.0       1.0       NaN       1.0   \n",
       "\n",
       "customer_id  12547506  12548009  12548616  12564682  12570806  12591110  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       1.0       NaN       NaN       NaN   \n",
       "1                 1.0       NaN       1.0       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "3                 1.0       NaN       NaN       NaN       4.0       NaN   \n",
       "4                 1.0       NaN       1.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  12596291  12598453  12610287  12611230  12614648  12615543  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 2.0       1.0       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  12617567  12630779  12646472  12652859  12660882  12678319  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       4.0       NaN       NaN       NaN       4.0   \n",
       "1                 NaN       2.0       NaN       NaN       NaN       NaN   \n",
       "2                 1.0       3.0       NaN       NaN       1.0       NaN   \n",
       "3                 NaN       NaN       NaN       1.0       NaN       1.0   \n",
       "4                 1.0       8.0       NaN       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  12678722  12680585  12697071  12697220  12697882  12701940  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       NaN       1.0       NaN   \n",
       "1                 NaN       6.0       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "3                 3.0       2.0       NaN       NaN       1.0       NaN   \n",
       "4                 NaN       1.0       NaN       NaN       3.0       NaN   \n",
       "\n",
       "customer_id  12707826  12710845  12711646  12720003  12721595  12725274  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "1                 NaN       NaN       NaN       1.0       NaN       1.0   \n",
       "2                 NaN       3.0       NaN       1.0       NaN       1.0   \n",
       "3                 NaN       3.0       NaN       1.0       NaN       2.0   \n",
       "4                 NaN       4.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  12728902  12730223  12739123  12746283  12746284  12749531  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       1.0       1.0       NaN   \n",
       "1                 NaN       1.0       NaN       2.0       NaN       2.0   \n",
       "2                 NaN       NaN       NaN       1.0       NaN       1.0   \n",
       "3                 NaN       1.0       1.0       2.0       NaN       1.0   \n",
       "4                 NaN       NaN       1.0       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  12773836  12781840  12785195  12794352  12803072  12811046  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       NaN       1.0      13.0   \n",
       "1                 NaN       NaN       1.0       NaN       NaN       1.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "3                 NaN       NaN       NaN       2.0       NaN       4.0   \n",
       "4                 2.0       1.0       2.0       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  12822386  12824902  12826852  12829225  12833442  12842184  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       2.0       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       1.0       1.0       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "4                 NaN       1.0       1.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  12854702  12856049  12878356  12889098  12896717  12908885  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       4.0       NaN       2.0   \n",
       "1                 NaN       1.0       NaN       1.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       6.0       NaN       2.0   \n",
       "3                 NaN       3.0       NaN       7.0       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       4.0       NaN       1.0   \n",
       "\n",
       "customer_id  12908901  12911069  12914046  12914769  12925117  12931945  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "1                 1.0       NaN       NaN       NaN       1.0       NaN   \n",
       "2                 2.0       NaN       NaN       1.0       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  12932872  12942642  12965529  12976812  12981242  12981808  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       2.0       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       4.0       NaN       NaN       NaN       1.0   \n",
       "2                 1.0       2.0       NaN       NaN       3.0       NaN   \n",
       "3                 NaN       2.0       NaN       NaN       NaN       1.0   \n",
       "4                 NaN       4.0       NaN       NaN       4.0       NaN   \n",
       "\n",
       "customer_id  12987697  12995896  12997681  13003554  13004560  13011786  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       3.0       1.0       NaN      12.0   \n",
       "1                 1.0       NaN       2.0       NaN       NaN       1.0   \n",
       "2                 1.0       NaN       NaN       NaN       NaN       3.0   \n",
       "3                 3.0       NaN       5.0       NaN       NaN       1.0   \n",
       "4                 4.0       NaN       3.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  13025490  13026435  13028904  13032345  13034121  13054202  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       NaN       4.0       NaN       NaN   \n",
       "1                 6.0       NaN       NaN       4.0       NaN       NaN   \n",
       "2                 2.0       NaN       NaN       2.0       NaN       NaN   \n",
       "3                 3.0       2.0       NaN       5.0       NaN       NaN   \n",
       "4                 NaN       6.0       NaN       9.0       NaN       NaN   \n",
       "\n",
       "customer_id  13067380  13077345  13083218  13126579  13128717  13170353  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       1.0       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       2.0       NaN       NaN       1.0   \n",
       "2                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "3                 2.0       NaN       NaN       1.0       NaN       NaN   \n",
       "4                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  13179575  13182172  13186622  13191753  13195994  13204747  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       3.0       2.0       NaN       4.0       NaN   \n",
       "1                 2.0       3.0       NaN       NaN       NaN       2.0   \n",
       "2                 NaN       2.0       1.0       NaN       NaN       NaN   \n",
       "3                 NaN       3.0       NaN       NaN       NaN       1.0   \n",
       "4                 1.0       NaN       3.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  13210353  13221041  13234632  13241753  13245340  13246133  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       2.0       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       4.0       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       3.0       NaN       NaN       1.0       NaN   \n",
       "3                 NaN       2.0       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       4.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  13260220  13267878  13292327  13302287  13316918  13318961  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "3                 NaN       2.0       NaN       NaN       3.0       NaN   \n",
       "4                 1.0       NaN       NaN       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  13324952  13325805  13333685  13358704  13360298  13360507  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       2.0       2.0       NaN   \n",
       "1                 NaN       NaN       1.0       1.0       NaN       NaN   \n",
       "2                 2.0       NaN       NaN       2.0       NaN       NaN   \n",
       "3                 1.0       NaN       NaN       3.0       NaN       NaN   \n",
       "4                 5.0       NaN       NaN       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  13379653  13388782  13389616  13398107  13404665  13418393  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       3.0       NaN       NaN       1.0       NaN   \n",
       "1                 1.0       7.0       1.0       NaN       NaN       NaN   \n",
       "2                 2.0       1.0       NaN       NaN       NaN       NaN   \n",
       "3                 3.0       1.0       1.0       NaN       NaN       NaN   \n",
       "4                 2.0       3.0       2.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  13419115  13422446  13422613  13431113  13431883  13440692  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       2.0       NaN       2.0       NaN   \n",
       "1                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       2.0       1.0       NaN       3.0       NaN   \n",
       "4                 NaN       1.0       1.0       1.0       3.0       NaN   \n",
       "\n",
       "customer_id  13447213  13451353  13451465  13466200  13475789  13476395  \\\n",
       "num_day                                                                   \n",
       "0                 4.0       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 1.0       NaN       NaN       1.0       2.0       NaN   \n",
       "2                 1.0       NaN       1.0       NaN       NaN       2.0   \n",
       "3                 1.0       NaN       NaN       NaN       3.0       4.0   \n",
       "4                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  13491189  13498047  13520040  13528851  13529871  13532732  \\\n",
       "num_day                                                                   \n",
       "0                 4.0      11.0       2.0       NaN       NaN       5.0   \n",
       "1                 2.0       3.0       2.0       NaN       NaN       3.0   \n",
       "2                 3.0       1.0       3.0       NaN       NaN       NaN   \n",
       "3                 2.0       NaN       1.0       5.0       NaN       1.0   \n",
       "4                 3.0       1.0       NaN       2.0       NaN       1.0   \n",
       "\n",
       "customer_id  13552331  13554236  13568964  13572234  13575882  13584143  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       NaN       2.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       1.0       NaN       NaN       NaN       2.0   \n",
       "3                 NaN       3.0       NaN       NaN       2.0       2.0   \n",
       "4                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "\n",
       "customer_id  13584223  13587967  13590968  13595171  13602205  13604102  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "1                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "2                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 4.0       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 2.0       NaN       NaN       NaN       4.0       NaN   \n",
       "\n",
       "customer_id  13605073  13620003  13632967  13637343  13637870  13641759  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       1.0       3.0       NaN       NaN   \n",
       "1                 4.0       3.0       1.0       4.0       2.0       NaN   \n",
       "2                 3.0       NaN       1.0       3.0       3.0       1.0   \n",
       "3                 NaN       NaN       3.0       2.0       NaN       NaN   \n",
       "4                 1.0       NaN       NaN       5.0       NaN       NaN   \n",
       "\n",
       "customer_id  13642050  13645274  13659037  13664173  13670238  13670767  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "2                 4.0       NaN       NaN       NaN       1.0       NaN   \n",
       "3                 2.0       NaN       5.0       NaN       NaN       NaN   \n",
       "4                 2.0       NaN       4.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  13672389  13682748  13695605  13704599  13705197  13712785  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       3.0   \n",
       "1                 NaN       2.0       NaN       NaN       NaN       1.0   \n",
       "2                 3.0       NaN       NaN       NaN       5.0       1.0   \n",
       "3                 NaN       NaN       NaN       NaN       1.0       2.0   \n",
       "4                 1.0       NaN       NaN       NaN       1.0       5.0   \n",
       "\n",
       "customer_id  13720727  13724038  13734049  13746011  13748035  13751660  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       1.0       7.0       3.0   \n",
       "1                 NaN       NaN       NaN       1.0       NaN       1.0   \n",
       "2                 NaN       1.0       NaN       3.0       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       1.0       NaN       1.0       2.0       NaN   \n",
       "\n",
       "customer_id  13756442  13766028  13771461  13772117  13775509  13777610  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       2.0       1.0   \n",
       "1                 NaN       NaN       NaN       1.0       2.0       NaN   \n",
       "2                 NaN       NaN       NaN       1.0       2.0       2.0   \n",
       "3                 NaN       1.0       NaN       3.0       1.0       1.0   \n",
       "4                 NaN       3.0       NaN       1.0       4.0       1.0   \n",
       "\n",
       "customer_id  13786701  13791482  13799180  13822007  13825301  13826611  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "1                 NaN       1.0       3.0       NaN       NaN       NaN   \n",
       "2                 1.0       4.0       NaN       2.0       NaN       NaN   \n",
       "3                 1.0       NaN       NaN       NaN       1.0       NaN   \n",
       "4                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  13828654  13833761  13841185  13842267  13847189  13857434  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       4.0       2.0       NaN       1.0       1.0   \n",
       "1                 6.0       3.0       1.0       NaN       3.0       2.0   \n",
       "2                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       5.0       1.0   \n",
       "4                 NaN       NaN       1.0       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  13863600  13868306  13871004  13872241  13879262  13883186  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       3.0       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       8.0       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       3.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  13885997  13888373  13888852  13888991  13889184  13893103  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 3.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 3.0       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 1.0       NaN       NaN       NaN       NaN       2.0   \n",
       "\n",
       "customer_id  13900192  13902815  13910371  13935326  13963532  13990747  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "3                 NaN       2.0       NaN       3.0       NaN       1.0   \n",
       "4                 1.0       NaN       NaN       3.0       NaN       2.0   \n",
       "\n",
       "customer_id  14001176  14005433  14016145  14017807  14025913  14027711  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       2.0       NaN       1.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "2                 NaN       NaN       1.0       NaN       NaN       3.0   \n",
       "3                 2.0       NaN       NaN       4.0       NaN       NaN   \n",
       "4                 NaN       NaN       1.0       3.0       NaN       NaN   \n",
       "\n",
       "customer_id  14029441  14030201  14036897  14040287  14076810  14077395  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       4.0       3.0       3.0       NaN   \n",
       "1                 NaN       NaN       1.0       NaN       4.0       1.0   \n",
       "2                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "3                 NaN       NaN       3.0       1.0       2.0       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       7.0       NaN   \n",
       "\n",
       "customer_id  14092000  14100143  14101528  14104664  14104717  14106416  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       5.0       3.0       NaN       1.0   \n",
       "1                 NaN       NaN       1.0       3.0       NaN       1.0   \n",
       "2                 NaN       NaN       2.0       7.0       1.0       NaN   \n",
       "3                 NaN       NaN       1.0       2.0       NaN       1.0   \n",
       "4                 NaN       NaN       1.0       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  14114778  14123285  14123690  14124897  14128185  14129852  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       3.0       3.0       NaN       2.0   \n",
       "1                 1.0       NaN       2.0       5.0       1.0       5.0   \n",
       "2                 4.0       NaN       1.0       2.0       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       3.0       1.0       1.0   \n",
       "4                 NaN       NaN       NaN       1.0       2.0       1.0   \n",
       "\n",
       "customer_id  14132470  14134377  14143258  14151691  14154056  14154413  \\\n",
       "num_day                                                                   \n",
       "0                 3.0       1.0       NaN       NaN       2.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "3                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 1.0       NaN       NaN       2.0       NaN       NaN   \n",
       "\n",
       "customer_id  14158276  14166485  14169381  14177005  14178332  14180180  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       NaN       NaN       1.0   \n",
       "1                 NaN       7.0       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       4.0       NaN       NaN       NaN       1.0   \n",
       "3                 5.0       5.0       1.0       NaN       NaN       2.0   \n",
       "4                 NaN       2.0       6.0       NaN       NaN       2.0   \n",
       "\n",
       "customer_id  14189626  14191306  14196903  14205771  14209820  14212610  \\\n",
       "num_day                                                                   \n",
       "0                 3.0       NaN       3.0       NaN       NaN       4.0   \n",
       "1                 NaN       5.0       NaN       1.0       2.0       NaN   \n",
       "2                 NaN       1.0       1.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       1.0       1.0       2.0   \n",
       "4                 3.0       2.0       6.0       1.0       2.0       1.0   \n",
       "\n",
       "customer_id  14219972  14221391  14222226  14230443  14231524  14238559  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       2.0       2.0       NaN       NaN       NaN   \n",
       "1                 NaN       2.0       2.0       NaN       NaN       NaN   \n",
       "2                 NaN       4.0       3.0       NaN       NaN       1.0   \n",
       "3                 NaN       2.0       2.0       NaN       NaN       1.0   \n",
       "4                 2.0       NaN       1.0       1.0       NaN       1.0   \n",
       "\n",
       "customer_id  14246947  14248648  14252692  14257147  14260146  14264900  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       NaN       NaN       5.0   \n",
       "1                 NaN       NaN       NaN       1.0       NaN       1.0   \n",
       "2                 NaN       NaN       3.0       1.0       NaN       2.0   \n",
       "3                 NaN       NaN       2.0       NaN       NaN       2.0   \n",
       "4                 1.0       NaN       2.0       1.0       NaN       2.0   \n",
       "\n",
       "customer_id  14267405  14275743  14299428  14300407  14301268  14307675  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       NaN       4.0       1.0   \n",
       "1                 NaN       NaN       NaN       NaN       2.0       1.0   \n",
       "2                 NaN       NaN       3.0       1.0       2.0       NaN   \n",
       "3                 NaN       NaN       1.0       NaN       3.0       NaN   \n",
       "4                 NaN       NaN       1.0       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  14330113  14331004  14332733  14349913  14353260  14360608  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       2.0       NaN       2.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "2                 NaN       1.0       NaN       NaN       NaN       1.0   \n",
       "3                 NaN       2.0       NaN       1.0       NaN       1.0   \n",
       "4                 NaN       5.0       NaN       1.0       NaN       1.0   \n",
       "\n",
       "customer_id  14361176  14362107  14366449  14380708  14382698  14392168  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       8.0       NaN       NaN       NaN   \n",
       "1                 NaN       1.0       3.0       NaN       NaN       NaN   \n",
       "2                 NaN       1.0       3.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       1.0       NaN       1.0       NaN   \n",
       "4                 NaN       1.0       4.0       NaN       2.0       NaN   \n",
       "\n",
       "customer_id  14396005  14401707  14404397  14409598  14421509  14444565  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       1.0       NaN       NaN       1.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  14454081  14454241  14466652  14474509  14476637  14480573  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       4.0       NaN       NaN       3.0       NaN   \n",
       "1                 NaN       9.0       NaN       1.0       NaN       NaN   \n",
       "2                 1.0       4.0       1.0       NaN       NaN       NaN   \n",
       "3                 2.0       2.0       1.0       1.0       NaN       NaN   \n",
       "4                 NaN       1.0       3.0       3.0       1.0       1.0   \n",
       "\n",
       "customer_id  14481189  14481681  14490414  14496242  14505893  14525059  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       2.0       2.0       NaN       NaN       NaN   \n",
       "1                 2.0       3.0       NaN       NaN       NaN       NaN   \n",
       "2                 1.0       6.0       NaN       NaN       1.0       NaN   \n",
       "3                 2.0       2.0       NaN       NaN       1.0       NaN   \n",
       "4                 1.0       3.0       1.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  14544715  14548818  14551898  14552261  14556762  14564793  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "1                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "3                 1.0       1.0       NaN       4.0       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "\n",
       "customer_id  14571241  14572195  14587386  14587736  14593180  14596151  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       3.0       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       5.0       1.0       NaN       NaN       NaN   \n",
       "2                 1.0       3.0       NaN       2.0       NaN       NaN   \n",
       "3                 1.0       1.0       1.0       1.0       2.0       NaN   \n",
       "4                 NaN       4.0       1.0       NaN       5.0       NaN   \n",
       "\n",
       "customer_id  14602021  14630687  14641163  14647979  14651755  14652271  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       9.0       NaN       NaN   \n",
       "1                 NaN       NaN       1.0       5.0       NaN       3.0   \n",
       "2                 NaN       NaN       NaN       6.0       NaN       NaN   \n",
       "3                 NaN       2.0       NaN       2.0       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       3.0       NaN       2.0   \n",
       "\n",
       "customer_id  14652932  14656498  14664253  14672721  14682884  14690847  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       2.0       NaN       5.0       3.0       1.0   \n",
       "1                 NaN       NaN       NaN       1.0       1.0       NaN   \n",
       "2                 NaN       NaN       NaN       1.0       6.0       NaN   \n",
       "3                 NaN       NaN       3.0       NaN       4.0       1.0   \n",
       "4                 NaN       NaN       1.0       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  14694355  14709673  14711088  14713603  14719845  14720054  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       4.0       NaN       1.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  14736748  14737664  14739087  14747265  14771683  14786519  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  14808847  14818582  14821988  14826116  14835466  14837954  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       2.0       NaN       NaN       2.0       NaN   \n",
       "1                 NaN       4.0       NaN       1.0       2.0       NaN   \n",
       "2                 3.0       1.0       NaN       1.0       NaN       NaN   \n",
       "3                 2.0       4.0       1.0       2.0       2.0       NaN   \n",
       "4                 NaN       2.0       NaN       1.0       5.0       NaN   \n",
       "\n",
       "customer_id  14848931  14850892  14865801  14866430  14872527  14875577  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       3.0       NaN       1.0   \n",
       "1                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       3.0       NaN       1.0   \n",
       "3                 NaN       NaN       NaN       4.0       1.0       1.0   \n",
       "4                 NaN       NaN       NaN       2.0       NaN       2.0   \n",
       "\n",
       "customer_id  14887515  14892960  14894393  14898358  14905888  14907076  \\\n",
       "num_day                                                                   \n",
       "0                 3.0       2.0       1.0       1.0       1.0       NaN   \n",
       "1                 NaN       1.0       NaN       NaN       1.0       NaN   \n",
       "2                 1.0       2.0       2.0       NaN       4.0       NaN   \n",
       "3                 NaN       NaN       1.0       3.0       NaN       NaN   \n",
       "4                 NaN       9.0       3.0       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  14918729  14930512  14937933  14939820  14945938  14953743  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       1.0       NaN       1.0       2.0   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  14969345  14974851  14976384  14980520  14984900  14988970  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       4.0       2.0       6.0       2.0   \n",
       "1                 NaN       NaN       2.0       NaN       1.0       2.0   \n",
       "2                 NaN       1.0       5.0       NaN       NaN       NaN   \n",
       "3                 NaN       2.0       3.0       1.0       1.0       NaN   \n",
       "4                 NaN       5.0       8.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  14990644  15004238  15031489  15033734  15039371  15040528  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       1.0       NaN       3.0   \n",
       "1                 1.0       NaN       NaN       NaN       1.0       NaN   \n",
       "2                 NaN       2.0       NaN       NaN       NaN       3.0   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       3.0   \n",
       "4                 NaN       NaN       NaN       2.0       NaN       1.0   \n",
       "\n",
       "customer_id  15042079  15042083  15042508  15044221  15047873  15053840  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       6.0       2.0       NaN       1.0       2.0   \n",
       "1                 NaN       6.0       1.0       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       2.0       5.0       NaN       NaN       2.0   \n",
       "4                 1.0       NaN       2.0       NaN       NaN       3.0   \n",
       "\n",
       "customer_id  15057364  15058566  15088828  15103892  15104152  15112348  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       1.0       NaN       1.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       1.0       3.0       NaN       3.0       2.0   \n",
       "4                 NaN       2.0       2.0       NaN       4.0       NaN   \n",
       "\n",
       "customer_id  15115077  15121468  15142137  15150934  15158844  15160419  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       1.0       NaN       2.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       1.0       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  15166647  15173207  15196059  15197816  15205815  15206009  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       3.0       1.0       NaN       1.0   \n",
       "1                 NaN       1.0       2.0       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       6.0       3.0       2.0       NaN   \n",
       "3                 NaN       NaN       1.0       4.0       NaN       NaN   \n",
       "4                 NaN       NaN       3.0       4.0       NaN       NaN   \n",
       "\n",
       "customer_id  15206594  15208319  15218842  15223800  15223932  15230899  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       NaN       2.0       5.0   \n",
       "1                 NaN       NaN       3.0       NaN       1.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       3.0       1.0       NaN   \n",
       "4                 NaN       NaN       1.0       2.0       NaN       NaN   \n",
       "\n",
       "customer_id  15233857  15250320  15253284  15254530  15254951  15267436  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       2.0       1.0       2.0   \n",
       "1                 NaN       NaN       NaN       2.0       6.0       NaN   \n",
       "2                 NaN       NaN       NaN       2.0       1.0       2.0   \n",
       "3                 NaN       NaN       NaN       1.0       3.0       NaN   \n",
       "4                 NaN       NaN       NaN       2.0       1.0       NaN   \n",
       "\n",
       "customer_id  15282992  15283573  15307012  15321146  15325309  15341897  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       3.0       1.0       NaN       NaN       1.0   \n",
       "1                 NaN       2.0       NaN       NaN       1.0       NaN   \n",
       "2                 NaN       NaN       3.0       NaN       4.0       NaN   \n",
       "3                 NaN       NaN       NaN       1.0       3.0       1.0   \n",
       "4                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "\n",
       "customer_id  15347446  15354016  15377876  15381290  15384947  15386233  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       7.0       NaN       NaN   \n",
       "1                 2.0       NaN       NaN       2.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       1.0       1.0       NaN   \n",
       "3                 8.0       NaN       NaN       5.0       NaN       NaN   \n",
       "4                 2.0       NaN       NaN       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  15387560  15392798  15400383  15404394  15407862  15413183  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       NaN       1.0       NaN   \n",
       "1                 1.0       NaN       NaN       NaN       3.0       NaN   \n",
       "2                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "4                 4.0       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  15428955  15435442  15436657  15441779  15444986  15455653  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       1.0       2.0   \n",
       "1                 NaN       NaN       NaN       NaN       1.0       1.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       4.0   \n",
       "3                 NaN       NaN       2.0       NaN       1.0       NaN   \n",
       "4                 1.0       NaN       1.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  15458619  15461417  15462118  15471394  15474511  15476291  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  15492735  15496197  15503089  15510666  15511971  15515571  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       2.0       NaN       2.0   \n",
       "1                 NaN       NaN       1.0       2.0       1.0       NaN   \n",
       "2                 NaN       2.0       NaN       NaN       1.0       3.0   \n",
       "3                 NaN       3.0       NaN       NaN       1.0       NaN   \n",
       "4                 NaN       1.0       NaN       2.0       NaN       2.0   \n",
       "\n",
       "customer_id  15523078  15528235  15528477  15531589  15548583  15555810  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       1.0       5.0       NaN       NaN   \n",
       "1                 2.0       1.0       3.0       NaN       NaN       NaN   \n",
       "2                 1.0       NaN       NaN       2.0       NaN       NaN   \n",
       "3                 3.0       NaN       NaN       6.0       NaN       NaN   \n",
       "4                 NaN       NaN       1.0       6.0       NaN       NaN   \n",
       "\n",
       "customer_id  15569246  15570959  15577036  15577985  15584488  15588952  \\\n",
       "num_day                                                                   \n",
       "0                 7.0       NaN       NaN       NaN       1.0       NaN   \n",
       "1                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 2.0       3.0       NaN       1.0       NaN       1.0   \n",
       "4                 NaN       2.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  15590380  15592985  15597795  15598730  15600058  15604721  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       3.0       NaN       NaN       NaN   \n",
       "1                 1.0       NaN       2.0       NaN       NaN       NaN   \n",
       "2                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 3.0       1.0       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  15611978  15615770  15621022  15621179  15626188  15626531  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       2.0       NaN       1.0       NaN       NaN   \n",
       "1                 1.0       NaN       NaN       1.0       NaN       3.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       1.0       NaN       3.0       NaN       NaN   \n",
       "4                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  15627664  15652973  15659879  15673882  15678379  15683076  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       3.0       NaN       NaN       1.0       NaN   \n",
       "1                 NaN       NaN       1.0       NaN       4.0       NaN   \n",
       "2                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 2.0       1.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  15685502  15701539  15729290  15737383  15742901  15747982  \\\n",
       "num_day                                                                   \n",
       "0                 4.0       NaN       8.0       1.0       NaN       NaN   \n",
       "1                 2.0       5.0       1.0       NaN       1.0       NaN   \n",
       "2                 1.0       NaN       3.0       4.0       NaN       NaN   \n",
       "3                 1.0       NaN       1.0       2.0       NaN       NaN   \n",
       "4                 5.0       1.0       2.0       3.0       4.0       NaN   \n",
       "\n",
       "customer_id  15752946  15762885  15767586  15768193  15786927  15789572  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       4.0       2.0       NaN       7.0       4.0   \n",
       "1                 NaN       NaN       1.0       4.0       3.0       1.0   \n",
       "2                 NaN       NaN       2.0       NaN       5.0       1.0   \n",
       "3                 NaN       NaN       1.0       NaN       3.0       NaN   \n",
       "4                 NaN       NaN       1.0       NaN       4.0       3.0   \n",
       "\n",
       "customer_id  15791788  15796340  15803958  15809747  15826213  15836028  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       1.0       NaN       2.0       3.0   \n",
       "1                 1.0       NaN       NaN       NaN       3.0       1.0   \n",
       "2                 3.0       NaN       NaN       NaN       1.0       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       3.0       4.0       NaN   \n",
       "\n",
       "customer_id  15836839  15841147  15847149  15847268  15854896  15856748  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       2.0       NaN       NaN   \n",
       "1                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 2.0       2.0       NaN       NaN       NaN       NaN   \n",
       "3                 4.0       2.0       NaN       2.0       NaN       NaN   \n",
       "4                 2.0       3.0       NaN       2.0       NaN       NaN   \n",
       "\n",
       "customer_id  15864413  15866910  15867759  15881446  15894791  15898915  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       2.0       2.0       1.0       NaN   \n",
       "1                 NaN       NaN       NaN       1.0       1.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "\n",
       "customer_id  15904515  15913937  15923301  15926326  15926722  15939752  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       1.0       NaN       NaN       1.0   \n",
       "1                 NaN       NaN       1.0       1.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       1.0       NaN       1.0   \n",
       "3                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       1.0       NaN       2.0   \n",
       "\n",
       "customer_id  15944492  15945483  15955193  15956854  15964289  15965494  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       NaN       NaN       1.0   \n",
       "1                 NaN       NaN       1.0       NaN       1.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       1.0       1.0   \n",
       "3                 NaN       1.0       NaN       NaN       NaN       2.0   \n",
       "4                 NaN       1.0       NaN       NaN       NaN       2.0   \n",
       "\n",
       "customer_id  15971667  15975329  15982939  15993282  16004843  16008976  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       3.0       1.0       1.0   \n",
       "1                 NaN       NaN       NaN       1.0       2.0       NaN   \n",
       "2                 NaN       1.0       NaN       2.0       2.0       NaN   \n",
       "3                 NaN       2.0       2.0       2.0       7.0       NaN   \n",
       "4                 NaN       3.0       NaN       1.0       1.0       1.0   \n",
       "\n",
       "customer_id  16015698  16026721  16044366  16048969  16049334  16057697  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       6.0       5.0       2.0   \n",
       "1                 NaN       NaN       NaN       6.0       4.0       4.0   \n",
       "2                 NaN       NaN       NaN       2.0       4.0       NaN   \n",
       "3                 NaN       NaN       NaN       3.0       3.0       3.0   \n",
       "4                 NaN       NaN       NaN       2.0       3.0       2.0   \n",
       "\n",
       "customer_id  16065892  16080835  16080959  16083891  16089461  16102335  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       1.0       1.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       5.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "3                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "4                 NaN       NaN       1.0       NaN       NaN       5.0   \n",
       "\n",
       "customer_id  16115351  16143064  16144253  16144518  16152597  16167490  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       1.0       NaN       3.0       1.0       1.0   \n",
       "1                 NaN       NaN       3.0       NaN       1.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       1.0       1.0   \n",
       "3                 NaN       NaN       1.0       7.0       3.0       1.0   \n",
       "4                 NaN       NaN       1.0       8.0       NaN       1.0   \n",
       "\n",
       "customer_id  16181139  16191966  16197496  16198741  16203811  16205321  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       8.0       1.0      28.0   \n",
       "1                 NaN       NaN       NaN       3.0       NaN      55.0   \n",
       "2                 1.0       NaN       NaN       NaN       1.0      54.0   \n",
       "3                 1.0       NaN       NaN       1.0       NaN      70.0   \n",
       "4                 NaN       NaN       NaN       2.0       NaN      23.0   \n",
       "\n",
       "customer_id  16213543  16214146  16224951  16226085  16233088  16240272  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       4.0       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "2                 1.0       4.0       NaN       NaN       1.0       NaN   \n",
       "3                 2.0       1.0       NaN       2.0       3.0       NaN   \n",
       "4                 NaN       3.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  16253417  16267765  16273685  16274002  16295869  16309666  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       2.0       NaN       1.0       3.0       6.0   \n",
       "1                 NaN       NaN       NaN       3.0       4.0       1.0   \n",
       "2                 NaN       2.0       NaN       1.0       1.0       1.0   \n",
       "3                 NaN       6.0       1.0       1.0       NaN       NaN   \n",
       "4                 NaN       8.0       NaN       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  16321752  16330781  16331369  16342382  16351435  16359236  \\\n",
       "num_day                                                                   \n",
       "0                 7.0       NaN       NaN       1.0       NaN       4.0   \n",
       "1                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "4                 8.0       1.0       NaN       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  16367483  16367800  16371796  16378266  16381650  16387172  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  16392564  16393345  16395398  16395910  16404236  16405988  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       2.0       NaN       NaN       2.0       NaN   \n",
       "1                 NaN       4.0       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "3                 NaN       2.0       NaN       NaN       NaN       2.0   \n",
       "4                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  16410393  16412935  16419087  16419166  16420571  16422350  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "3                 NaN       NaN       NaN       2.0       NaN       1.0   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  16442855  16447728  16448797  16454787  16462973  16480850  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "1                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       1.0       1.0       NaN       NaN       NaN   \n",
       "4                 NaN       2.0       2.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  16481372  16493417  16505024  16509297  16522855  16527738  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       1.0      10.0       3.0   \n",
       "1                 NaN       NaN       1.0       NaN       4.0       4.0   \n",
       "2                 1.0       NaN       2.0       NaN       2.0       4.0   \n",
       "3                 NaN       NaN       NaN       3.0       4.0       2.0   \n",
       "4                 NaN       NaN       NaN       NaN       7.0       3.0   \n",
       "\n",
       "customer_id  16536678  16538259  16542264  16542862  16563089  16563768  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       4.0       NaN       1.0       NaN       NaN   \n",
       "1                 NaN       2.0       2.0       2.0       NaN       1.0   \n",
       "2                 NaN       2.0       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       5.0       NaN       2.0       NaN       2.0   \n",
       "4                 NaN       4.0       1.0       NaN       NaN       2.0   \n",
       "\n",
       "customer_id  16568750  16575331  16576146  16579578  16585493  16587646  \\\n",
       "num_day                                                                   \n",
       "0                 4.0       3.0       NaN       NaN       NaN       5.0   \n",
       "1                 4.0       2.0       1.0       NaN       NaN       1.0   \n",
       "2                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 7.0       1.0       NaN       NaN       NaN       2.0   \n",
       "4                 NaN       NaN       NaN       NaN       4.0       3.0   \n",
       "\n",
       "customer_id  16588270  16591133  16594215  16604678  16617058  16617908  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       3.0       4.0       2.0   \n",
       "1                 NaN       NaN       NaN       1.0       1.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "3                 NaN       NaN       NaN       2.0       5.0       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       5.0       2.0   \n",
       "\n",
       "customer_id  16622470  16631698  16634239  16662809  16671175  16671263  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       7.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       3.0       NaN       NaN       NaN       1.0   \n",
       "4                 NaN       1.0       NaN       NaN       NaN       2.0   \n",
       "\n",
       "customer_id  16689751  16692763  16697632  16704747  16711781  16730077  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       NaN       2.0       NaN   \n",
       "1                 NaN       4.0       NaN       NaN       7.0       1.0   \n",
       "2                 NaN       NaN       NaN       NaN       2.0       2.0   \n",
       "3                 NaN       NaN       NaN       NaN       6.0       NaN   \n",
       "4                 NaN       1.0       1.0       2.0       2.0       NaN   \n",
       "\n",
       "customer_id  16731650  16744894  16745107  16745983  16749393  16751713  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       1.0       1.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "2                 NaN       2.0       NaN       NaN       3.0       NaN   \n",
       "3                 NaN       2.0       NaN       NaN       NaN       1.0   \n",
       "4                 NaN       2.0       5.0       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  16753848  16761497  16764721  16767160  16768663  16771902  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       2.0       NaN       NaN       NaN       3.0   \n",
       "1                 NaN       2.0       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       2.0       NaN       NaN       NaN       1.0   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "4                 NaN       2.0       NaN       NaN       NaN       3.0   \n",
       "\n",
       "customer_id  16779630  16795304  16799312  16804239  16806190  16810200  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       5.0       1.0       3.0       NaN   \n",
       "1                 3.0       NaN       NaN       4.0       NaN       NaN   \n",
       "2                 3.0       1.0       3.0       1.0       2.0       NaN   \n",
       "3                 2.0       2.0       1.0       NaN       NaN       NaN   \n",
       "4                 4.0       2.0       NaN       2.0       1.0       NaN   \n",
       "\n",
       "customer_id  16826344  16835324  16840276  16843415  16848662  16862454  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       3.0       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       1.0       1.0       NaN       NaN       NaN   \n",
       "2                 NaN       2.0       4.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       4.0       1.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  16867721  16893207  16903491  16905276  16910920  16917381  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       1.0       1.0       2.0       NaN   \n",
       "1                 1.0       NaN       1.0       NaN       2.0       NaN   \n",
       "2                 NaN       NaN       1.0       NaN       3.0       NaN   \n",
       "3                 NaN       NaN       2.0       NaN       3.0       NaN   \n",
       "4                 NaN       NaN       3.0       6.0       2.0       NaN   \n",
       "\n",
       "customer_id  16918320  16920927  16923362  16936202  16938566  16939122  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       NaN       NaN       7.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       2.0       NaN       5.0       NaN   \n",
       "3                 3.0       1.0       NaN       2.0       6.0       1.0   \n",
       "4                 3.0       NaN       9.0       NaN       2.0       NaN   \n",
       "\n",
       "customer_id  16949486  16958651  16967590  16977754  16981134  16984655  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       3.0       1.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       1.0       NaN       3.0       NaN       NaN   \n",
       "3                 NaN       NaN       2.0       1.0       NaN       NaN   \n",
       "4                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  16989126  16989493  16989800  17005865  17027775  17031888  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       2.0       1.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       1.0       1.0       1.0       NaN   \n",
       "3                 1.0       NaN       1.0       1.0       NaN       NaN   \n",
       "4                 NaN       NaN       1.0       3.0       2.0       NaN   \n",
       "\n",
       "customer_id  17033704  17035523  17038281  17039869  17041637  17044298  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       2.0       NaN       1.0       NaN       NaN   \n",
       "1                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       2.0       NaN       2.0       NaN       NaN   \n",
       "3                 NaN       2.0       NaN       2.0       NaN       NaN   \n",
       "4                 NaN       4.0       2.0       2.0       NaN       NaN   \n",
       "\n",
       "customer_id  17045471  17060000  17073428  17075581  17081083  17090426  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       2.0       9.0       NaN   \n",
       "1                 NaN       NaN       NaN       1.0       6.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       8.0       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "4                 NaN       NaN       NaN       NaN      13.0       NaN   \n",
       "\n",
       "customer_id  17095064  17096335  17096973  17106100  17113299  17118781  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       3.0       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "3                 1.0       NaN       1.0       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       3.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  17120363  17120770  17130516  17166860  17168015  17171316  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       1.0       NaN       NaN       NaN       1.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 1.0       NaN       NaN       NaN       NaN       1.0   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  17171343  17173846  17178672  17181384  17188865  17194012  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       NaN      13.0       NaN   \n",
       "1                 1.0       4.0       NaN       NaN       2.0       NaN   \n",
       "2                 NaN       NaN       1.0       NaN       2.0       NaN   \n",
       "3                 NaN       NaN       4.0       NaN       7.0       NaN   \n",
       "4                 NaN       2.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  17208030  17216285  17217359  17217421  17232316  17241534  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       1.0       1.0   \n",
       "1                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       3.0       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "\n",
       "customer_id  17256393  17260193  17266117  17275036  17281851  17285865  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       NaN       2.0       4.0   \n",
       "1                 NaN       NaN       NaN       NaN       4.0       1.0   \n",
       "2                 NaN       NaN       NaN       NaN       9.0       1.0   \n",
       "3                 NaN       NaN       1.0       NaN       NaN       3.0   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  17287341  17292612  17293191  17299088  17302287  17304472  \\\n",
       "num_day                                                                   \n",
       "0                 NaN      10.0       NaN       2.0       3.0       NaN   \n",
       "1                 NaN       3.0       NaN       NaN       2.0       NaN   \n",
       "2                 NaN       5.0       1.0       3.0       1.0       7.0   \n",
       "3                 NaN      13.0       NaN       2.0       7.0       NaN   \n",
       "4                 NaN       6.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  17306217  17319846  17326412  17327321  17331961  17340837  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       2.0       NaN       6.0       NaN   \n",
       "1                 NaN       NaN       3.0       NaN       NaN       1.0   \n",
       "2                 2.0       NaN       NaN       NaN       NaN       2.0   \n",
       "3                 NaN       1.0       1.0       1.0       NaN       2.0   \n",
       "4                 NaN       2.0       1.0       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  17346481  17350935  17352837  17360599  17361562  17384779  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       NaN       NaN       4.0   \n",
       "1                 3.0       NaN       1.0       NaN       NaN       2.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       6.0   \n",
       "3                 9.0       NaN       NaN       NaN       NaN       4.0   \n",
       "4                 1.0       NaN       NaN       NaN       NaN       4.0   \n",
       "\n",
       "customer_id  17389182  17392669  17394948  17396832  17398749  17403698  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       1.0       NaN       NaN       2.0       NaN   \n",
       "1                 9.0       NaN       NaN       NaN       2.0       1.0   \n",
       "2                 3.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 4.0       NaN       NaN       NaN       NaN       1.0   \n",
       "4                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  17422997  17427240  17431962  17433826  17437813  17440302  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       NaN       4.0       NaN       1.0   \n",
       "1                 1.0       NaN       NaN       2.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       4.0       NaN       1.0   \n",
       "3                 2.0       NaN       NaN       1.0       NaN       1.0   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       5.0   \n",
       "\n",
       "customer_id  17441830  17443767  17447144  17456490  17459382  17471011  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       3.0       1.0       NaN       1.0   \n",
       "1                 NaN       NaN       5.0       2.0       NaN       NaN   \n",
       "2                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       3.0       1.0       NaN       NaN   \n",
       "4                 NaN       NaN       4.0       2.0       NaN       NaN   \n",
       "\n",
       "customer_id  17471274  17487230  17502871  17515894  17518271  17537261  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       1.0       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "4                 NaN       4.0       NaN       NaN       NaN       4.0   \n",
       "\n",
       "customer_id  17543160  17574120  17576256  17580250  17589274  17596405  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       2.0       1.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 1.0       NaN       NaN       1.0       3.0       1.0   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       3.0       1.0       NaN   \n",
       "\n",
       "customer_id  17605074  17610658  17634947  17637161  17637572  17659964  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 1.0       2.0       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       1.0       NaN       NaN       1.0       1.0   \n",
       "3                 NaN       4.0       NaN       NaN       NaN       2.0   \n",
       "4                 1.0       1.0       NaN       NaN       NaN       2.0   \n",
       "\n",
       "customer_id  17661325  17662250  17670150  17674010  17685580  17695034  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "1                 NaN       NaN       5.0       1.0       NaN       NaN   \n",
       "2                 NaN       2.0       2.0       NaN       NaN       3.0   \n",
       "3                 NaN       NaN       1.0       NaN       NaN       3.0   \n",
       "4                 NaN       1.0       1.0       1.0       NaN       2.0   \n",
       "\n",
       "customer_id  17698452  17698586  17703557  17703907  17732156  17732747  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       3.0       2.0       3.0       NaN       NaN   \n",
       "1                 1.0       NaN       NaN       1.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 3.0       NaN       2.0       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       8.0       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  17737985  17750079  17755070  17757519  17761745  17770789  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       NaN       2.0       1.0       NaN   \n",
       "1                 NaN       1.0       3.0       4.0       NaN       NaN   \n",
       "2                 NaN       3.0       1.0       NaN       NaN       2.0   \n",
       "3                 NaN       NaN       NaN       3.0       2.0       1.0   \n",
       "4                 NaN       1.0       2.0       3.0       NaN       NaN   \n",
       "\n",
       "customer_id  17774807  17793655  17797588  17831625  17832283  17850899  \\\n",
       "num_day                                                                   \n",
       "0                10.0       1.0       NaN       3.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "2                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 3.0       NaN       4.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  17859769  17861663  17862099  17875998  17880257  17880287  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       2.0       4.0   \n",
       "1                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 4.0       NaN       NaN       NaN       NaN       2.0   \n",
       "3                 NaN       1.0       NaN       NaN       2.0       NaN   \n",
       "4                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  17880785  17887190  17888939  17889916  17891979  17899884  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       3.0       2.0       1.0       NaN       1.0   \n",
       "1                 NaN       2.0       3.0       NaN       NaN       NaN   \n",
       "2                 1.0       1.0       1.0       NaN       NaN       4.0   \n",
       "3                 2.0       NaN       2.0       1.0       1.0       1.0   \n",
       "4                 1.0       NaN       1.0       4.0       1.0       4.0   \n",
       "\n",
       "customer_id  17904208  17908138  17913186  17914429  17915071  17923253  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       1.0       2.0   \n",
       "1                 1.0       NaN       NaN       2.0       1.0       4.0   \n",
       "2                 NaN       NaN       NaN       NaN       3.0       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "4                 1.0       1.0       NaN       2.0       2.0       2.0   \n",
       "\n",
       "customer_id  17929375  17941785  17958840  17979664  17992634  17995188  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       5.0       NaN       NaN   \n",
       "1                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "2                 NaN       1.0       1.0       1.0       NaN       NaN   \n",
       "3                 NaN       NaN       4.0       NaN       NaN       NaN   \n",
       "4                 NaN       4.0       4.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  18000572  18004471  18019658  18020299  18022583  18029928  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       6.0       2.0       2.0   \n",
       "1                 NaN       NaN       NaN       4.0       3.0       1.0   \n",
       "2                 NaN       NaN       NaN       2.0       1.0       4.0   \n",
       "3                 NaN       NaN       1.0       4.0       2.0       1.0   \n",
       "4                 NaN       NaN       1.0       2.0       1.0       2.0   \n",
       "\n",
       "customer_id  18032393  18040048  18048133  18053122  18059478  18072028  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       2.0       NaN       NaN       2.0   \n",
       "3                 1.0       NaN       NaN       NaN       NaN       3.0   \n",
       "4                 NaN       1.0       3.0       NaN       NaN       2.0   \n",
       "\n",
       "customer_id  18073912  18074104  18087645  18104975  18123320  18126138  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       2.0       1.0       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "2                 NaN       4.0       3.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       1.0       NaN       1.0       NaN   \n",
       "4                 NaN       2.0       6.0       6.0       NaN       NaN   \n",
       "\n",
       "customer_id  18139443  18152172  18152888  18155281  18157127  18164843  \\\n",
       "num_day                                                                   \n",
       "0                 3.0       NaN       NaN       3.0       NaN       NaN   \n",
       "1                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  18177248  18201273  18211024  18213223  18213962  18230930  \\\n",
       "num_day                                                                   \n",
       "0                 3.0       1.0       3.0       1.0       2.0       1.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "3                 NaN       1.0       5.0       NaN       NaN       NaN   \n",
       "4                 NaN       3.0       3.0       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  18232705  18235022  18256987  18260853  18263937  18265734  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       2.0       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       2.0       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  18291913  18293426  18314837  18319720  18321497  18331794  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  18333711  18344091  18345402  18347957  18348644  18350404  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       5.0       NaN       2.0       NaN       2.0   \n",
       "1                 NaN       3.0       NaN       NaN       NaN       3.0   \n",
       "2                 NaN       NaN       1.0       NaN       NaN       6.0   \n",
       "3                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       2.0       NaN       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  18351390  18358597  18360110  18366978  18389379  18399534  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       2.0       2.0       NaN       NaN   \n",
       "1                 NaN       3.0       NaN       1.0       1.0       NaN   \n",
       "2                 NaN       3.0       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       2.0       1.0       1.0       1.0       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  18418576  18429765  18432893  18450058  18451037  18454528  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  18470346  18474311  18480529  18488176  18490455  18501672  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "1                 1.0       5.0       NaN       NaN       NaN       NaN   \n",
       "2                 1.0       3.0       NaN       NaN       NaN       2.0   \n",
       "3                 2.0       3.0       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       1.0       NaN       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  18501812  18504401  18506768  18516500  18523734  18527429  \\\n",
       "num_day                                                                   \n",
       "0                 6.0       NaN       2.0       NaN       NaN       NaN   \n",
       "1                 4.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 3.0       2.0       NaN       NaN       1.0       NaN   \n",
       "3                 3.0       1.0       NaN       NaN       NaN       NaN   \n",
       "4                 4.0       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  18528564  18550241  18550989  18552071  18562357  18568009  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       5.0       1.0       NaN       1.0   \n",
       "1                 1.0       NaN       1.0       NaN       NaN       3.0   \n",
       "2                 1.0       NaN       2.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       1.0       NaN       1.0   \n",
       "\n",
       "customer_id  18571719  18586518  18590160  18597595  18598288  18609856  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 5.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  18627936  18628974  18629075  18630831  18630870  18640023  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       1.0       1.0       NaN   \n",
       "1                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "2                 1.0       NaN       NaN       NaN       2.0       NaN   \n",
       "3                 NaN       4.0       NaN       NaN       NaN       NaN   \n",
       "4                 NaN      10.0       NaN       1.0       1.0       NaN   \n",
       "\n",
       "customer_id  18642891  18646751  18649620  18653633  18654396  18670012  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       1.0       3.0   \n",
       "1                 NaN       NaN       NaN       NaN       2.0       2.0   \n",
       "2                 NaN       NaN       NaN       NaN       1.0       5.0   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "4                 2.0       NaN       NaN       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  18671863  18686042  18690123  18694042  18699655  18711616  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       1.0       NaN       2.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       3.0   \n",
       "2                 1.0       NaN       NaN       1.0       1.0       4.0   \n",
       "3                 1.0       NaN       1.0       NaN       2.0       1.0   \n",
       "4                 NaN       NaN       NaN       NaN       2.0       2.0   \n",
       "\n",
       "customer_id  18718602  18727270  18734965  18746693  18753299  18762843  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       3.0       1.0       4.0       2.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "2                 1.0       NaN       2.0       NaN       NaN       1.0   \n",
       "3                 NaN       NaN       NaN       1.0       4.0       1.0   \n",
       "4                 NaN       NaN       NaN       2.0       1.0       1.0   \n",
       "\n",
       "customer_id  18780719  18784555  18789683  18798580  18806555  18812819  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       4.0       1.0       NaN   \n",
       "1                 NaN       NaN       NaN       3.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       1.0       1.0       NaN   \n",
       "3                 3.0       NaN       NaN       1.0       1.0       NaN   \n",
       "4                 1.0       NaN       4.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  18816938  18824201  18825101  18828201  18836944  18864557  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       5.0       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       2.0       NaN       NaN       NaN       1.0   \n",
       "2                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "3                 NaN       1.0       NaN       NaN       NaN       1.0   \n",
       "4                 NaN       1.0       NaN       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  18870871  18872798  18877330  18879570  18880490  18889791  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       2.0       1.0      16.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       8.0   \n",
       "2                 NaN       NaN       NaN       NaN       1.0       8.0   \n",
       "3                 NaN       1.0       NaN       1.0       1.0       9.0   \n",
       "4                 NaN       1.0       NaN       2.0       NaN      22.0   \n",
       "\n",
       "customer_id  18894090  18894701  18903746  18904103  18911055  18912624  \\\n",
       "num_day                                                                   \n",
       "0                 3.0       NaN       NaN       NaN       5.0       NaN   \n",
       "1                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       3.0       NaN   \n",
       "3                 3.0       NaN       NaN       2.0       2.0       NaN   \n",
       "4                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "\n",
       "customer_id  18915069  18915256  18925330  18932060  18935419  18935754  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       2.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "2                 4.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 2.0       NaN       NaN       1.0       NaN       NaN   \n",
       "4                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  18935779  18938727  18948724  18962492  18965515  18967006  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       4.0       1.0       NaN       1.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       1.0       NaN       NaN       1.0   \n",
       "3                 NaN       NaN       1.0       NaN       3.0       NaN   \n",
       "4                 NaN       3.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  18967458  18977893  18979312  18982540  18992359  19006787  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       3.0       3.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "3                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  19011675  19018635  19030022  19031983  19061005  19084264  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN      18.0       2.0   \n",
       "1                 2.0       NaN       NaN       NaN       2.0       NaN   \n",
       "2                 2.0       NaN       NaN       NaN       5.0       1.0   \n",
       "3                 2.0       NaN       NaN       2.0       5.0       1.0   \n",
       "4                 2.0       NaN       NaN       NaN      17.0       3.0   \n",
       "\n",
       "customer_id  19087930  19100322  19101727  19110007  19140098  19143789  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       7.0       4.0       1.0   \n",
       "1                 NaN       1.0       NaN       1.0       5.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "3                 NaN       NaN       NaN       1.0       2.0       NaN   \n",
       "4                 NaN       NaN       NaN       3.0       1.0       3.0   \n",
       "\n",
       "customer_id  19149664  19153043  19158728  19164890  19170445  19174877  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       3.0       NaN       1.0       4.0       NaN   \n",
       "1                 NaN       2.0       NaN       NaN       NaN       NaN   \n",
       "2                 1.0       NaN       NaN       NaN       1.0       NaN   \n",
       "3                 NaN       3.0       NaN       1.0       NaN       NaN   \n",
       "4                 NaN       2.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  19186106  19195790  19196586  19205707  19217936  19218689  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       2.0       NaN       1.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       3.0       2.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "4                 NaN       1.0       NaN       1.0       NaN       1.0   \n",
       "\n",
       "customer_id  19231543  19235833  19237958  19239257  19259366  19261311  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       2.0       1.0   \n",
       "1                 1.0       NaN       NaN       NaN       2.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  19262133  19270512  19282591  19282673  19283529  19287737  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "1                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "2                 NaN       NaN       NaN       2.0       1.0       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       3.0   \n",
       "4                 NaN       NaN       2.0       1.0       2.0       NaN   \n",
       "\n",
       "customer_id  19295298  19309710  19309943  19327580  19330058  19345776  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       NaN       2.0       2.0       NaN   \n",
       "1                 NaN       4.0       NaN       8.0       NaN       NaN   \n",
       "2                 NaN       3.0       NaN       NaN       NaN       NaN   \n",
       "3                 3.0       6.0       NaN       NaN       NaN       NaN   \n",
       "4                 2.0       4.0       NaN       3.0       NaN       NaN   \n",
       "\n",
       "customer_id  19350485  19368278  19375709  19380379  19380743  19382701  \\\n",
       "num_day                                                                   \n",
       "0                 6.0       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 4.0       1.0       NaN       NaN       NaN       1.0   \n",
       "4                 4.0       NaN       NaN       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  19383241  19404141  19409011  19410362  19411412  19415800  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 1.0       NaN       4.0       NaN       NaN       3.0   \n",
       "2                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       3.0       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  19423861  19425991  19438089  19439865  19443014  19455514  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       1.0       NaN       3.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 1.0       2.0       NaN       1.0       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       3.0       NaN       NaN   \n",
       "\n",
       "customer_id  19457255  19457273  19457731  19462028  19472226  19479786  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       NaN       1.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "\n",
       "customer_id  19498296  19501407  19511282  19513764  19519989  19522641  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       4.0       NaN       NaN   \n",
       "1                 NaN       2.0       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       2.0       NaN      21.0       NaN       NaN   \n",
       "\n",
       "customer_id  19525358  19526545  19534721  19536306  19546585  19560967  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       2.0       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       1.0       NaN       NaN       1.0       6.0   \n",
       "2                 2.0       1.0       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       4.0       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "\n",
       "customer_id  19562337  19568391  19575612  19575687  19581953  19582357  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       4.0       NaN       NaN       NaN       9.0   \n",
       "1                 NaN       2.0       NaN       NaN       NaN       1.0   \n",
       "2                 NaN       6.0       NaN       NaN       NaN       2.0   \n",
       "3                 NaN       2.0       NaN       NaN       NaN       8.0   \n",
       "4                 NaN       NaN       NaN       1.0       NaN       2.0   \n",
       "\n",
       "customer_id  19599329  19601368  19621396  19624198  19630540  19633697  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       6.0       1.0       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "4                 1.0       NaN       1.0       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  19635150  19636258  19641265  19644719  19645909  19651575  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       2.0       NaN       NaN   \n",
       "1                 1.0       NaN       NaN       NaN       6.0       NaN   \n",
       "2                 2.0       NaN       NaN       NaN       1.0       NaN   \n",
       "3                 3.0       NaN       NaN       NaN       5.0       NaN   \n",
       "4                 2.0       1.0       NaN       3.0       3.0       NaN   \n",
       "\n",
       "customer_id  19652861  19654396  19655077  19658089  19659253  19664544  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       1.0       1.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  19690353  19695860  19702350  19710548  19711526  19714725  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "2                 2.0       NaN       1.0       NaN       NaN       NaN   \n",
       "3                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 4.0       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  19718389  19722089  19722469  19728628  19736513  19742951  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       4.0       NaN       NaN   \n",
       "1                 NaN       NaN       1.0       3.0       NaN       3.0   \n",
       "2                 NaN       3.0       4.0       3.0       NaN       NaN   \n",
       "3                 2.0       1.0       1.0       4.0       NaN       1.0   \n",
       "4                 NaN       NaN       NaN       3.0       NaN       2.0   \n",
       "\n",
       "customer_id  19751035  19755340  19769561  19776711  19780347  19781292  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       1.0       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "4                 NaN       3.0       1.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  19782421  19786531  19786837  19787819  19792342  19805868  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       2.0      11.0   \n",
       "1                 2.0       NaN       NaN       NaN       2.0      15.0   \n",
       "2                 NaN       NaN       NaN       NaN       1.0       6.0   \n",
       "3                 2.0       NaN       NaN       NaN       1.0      21.0   \n",
       "4                 NaN       NaN       NaN       NaN       1.0      19.0   \n",
       "\n",
       "customer_id  19809073  19811752  19816808  19837712  19856837  19860515  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       1.0       NaN       NaN       5.0   \n",
       "2                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       1.0       3.0       NaN       NaN       1.0   \n",
       "4                 NaN       NaN       4.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  19864270  19869701  19886336  19887045  19888718  19888863  \\\n",
       "num_day                                                                   \n",
       "0                 3.0       1.0       2.0       NaN       NaN       NaN   \n",
       "1                 1.0       NaN       NaN       1.0       NaN       NaN   \n",
       "2                 NaN       2.0       3.0       NaN       NaN       NaN   \n",
       "3                 1.0       NaN       2.0       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       1.0       NaN       2.0       NaN   \n",
       "\n",
       "customer_id  19896038  19898375  19903269  19908111  19922031  19937446  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       NaN       NaN       1.0   \n",
       "1                 NaN       NaN       2.0       NaN       NaN       3.0   \n",
       "2                 NaN       NaN       2.0       NaN       4.0       NaN   \n",
       "3                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       1.0       NaN       5.0       NaN   \n",
       "\n",
       "customer_id  19938453  19950741  19954875  19960805  19961643  19968378  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       5.0       1.0       NaN       1.0       NaN   \n",
       "1                 9.0       3.0       NaN       NaN       NaN       NaN   \n",
       "2                 1.0       7.0       1.0       NaN       NaN       NaN   \n",
       "3                 9.0       1.0       4.0       NaN       NaN       NaN   \n",
       "4                 6.0       7.0       1.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  19986561  20001425  20002218  20011606  20018771  20045161  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       3.0       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       5.0       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       2.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  20047434  20060413  20061022  20072776  20081482  20083228  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "2                 NaN       NaN       2.0       1.0       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       2.0       1.0       NaN   \n",
       "4                 NaN       NaN       NaN       1.0       NaN       1.0   \n",
       "\n",
       "customer_id  20083809  20084189  20085540  20091859  20093543  20116313  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       1.0       1.0       NaN   \n",
       "1                 NaN       NaN       1.0       NaN       NaN       1.0   \n",
       "2                 NaN       NaN       NaN       1.0       NaN       2.0   \n",
       "3                 NaN       NaN       NaN       NaN       4.0       2.0   \n",
       "4                 NaN       NaN       1.0       NaN       1.0       4.0   \n",
       "\n",
       "customer_id  20124569  20126923  20133260  20134416  20140418  20142136  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       3.0       NaN       NaN       2.0   \n",
       "1                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "2                 1.0       NaN       NaN       NaN       3.0       NaN   \n",
       "3                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 2.0       NaN       4.0       NaN       3.0       1.0   \n",
       "\n",
       "customer_id  20157946  20160829  20161090  20166346  20171368  20172188  \\\n",
       "num_day                                                                   \n",
       "0                 6.0       1.0       NaN       NaN       NaN       NaN   \n",
       "1                 5.0       NaN       NaN       1.0       NaN       NaN   \n",
       "2                10.0       2.0       NaN       NaN       NaN       NaN   \n",
       "3                 6.0       2.0       NaN       NaN       1.0       NaN   \n",
       "4                 4.0       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  20172819  20177708  20178101  20180564  20181536  20190882  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       2.0       5.0       1.0       NaN   \n",
       "1                 NaN       NaN       2.0       5.0       1.0       NaN   \n",
       "2                 NaN       NaN       9.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  20200083  20200542  20200583  20209104  20219112  20220651  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       2.0       NaN       NaN       NaN       NaN   \n",
       "4                 1.0       NaN       1.0       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  20224017  20242292  20244690  20249071  20254708  20266038  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       7.0       1.0       NaN   \n",
       "1                 NaN       2.0       NaN       2.0       8.0       NaN   \n",
       "2                 NaN       2.0       1.0       1.0       2.0       NaN   \n",
       "3                 NaN       NaN       NaN       1.0       1.0       NaN   \n",
       "4                 NaN       7.0       1.0       2.0       2.0       NaN   \n",
       "\n",
       "customer_id  20271030  20297899  20299386  20306146  20306938  20308579  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       1.0       NaN       NaN       NaN       1.0   \n",
       "2                 NaN       3.0       NaN       NaN       1.0       2.0   \n",
       "3                 1.0       1.0       NaN       1.0       NaN       NaN   \n",
       "4                 NaN       1.0       NaN       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  20320139  20323121  20336527  20352442  20352822  20357009  \\\n",
       "num_day                                                                   \n",
       "0                 4.0       NaN       1.0       1.0       NaN       1.0   \n",
       "1                 1.0       NaN       NaN       NaN       NaN       1.0   \n",
       "2                 2.0       NaN       NaN       3.0       NaN       7.0   \n",
       "3                 3.0       NaN       NaN       NaN       NaN       6.0   \n",
       "4                 4.0       NaN       NaN       NaN       NaN       2.0   \n",
       "\n",
       "customer_id  20357100  20358875  20366336  20370696  20371922  20381429  \\\n",
       "num_day                                                                   \n",
       "0                 6.0       NaN       2.0       NaN       4.0       NaN   \n",
       "1                 NaN       NaN       2.0       NaN       1.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       5.0       NaN   \n",
       "4                 3.0       NaN       2.0       NaN       3.0       NaN   \n",
       "\n",
       "customer_id  20387931  20391178  20395638  20396219  20421046  20425809  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       1.0       NaN       NaN       1.0       3.0   \n",
       "1                 NaN       NaN       4.0       NaN       2.0       2.0   \n",
       "2                 2.0       NaN       NaN       NaN       1.0       2.0   \n",
       "3                 4.0       NaN       3.0       NaN       2.0       1.0   \n",
       "4                 1.0      10.0       NaN       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  20427207  20429748  20433495  20437650  20460239  20467257  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 2.0       NaN       1.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  20475991  20480882  20483961  20486011  20490011  20494087  \\\n",
       "num_day                                                                   \n",
       "0                 6.0       2.0       NaN       6.0       3.0       2.0   \n",
       "1                 NaN       NaN       NaN       NaN       7.0       NaN   \n",
       "2                 NaN       NaN       NaN       8.0       4.0       NaN   \n",
       "3                 1.0       NaN       NaN       4.0       NaN       NaN   \n",
       "4                 NaN       NaN       NaN      14.0       1.0       NaN   \n",
       "\n",
       "customer_id  20505443  20519875  20524734  20525342  20539604  20545587  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 4.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       1.0       1.0       NaN       NaN   \n",
       "4                 3.0       NaN       1.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  20559299  20573297  20580998  20590772  20607335  20614300  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       NaN       3.0       1.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 1.0       NaN       NaN       NaN       2.0       3.0   \n",
       "3                 1.0       NaN       NaN       NaN       3.0       2.0   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  20634247  20636171  20644899  20645905  20646461  20657474  \\\n",
       "num_day                                                                   \n",
       "0                 3.0       NaN       NaN       1.0      10.0       NaN   \n",
       "1                 2.0       NaN       NaN       1.0       2.0       NaN   \n",
       "2                 4.0       NaN       2.0       2.0       1.0       NaN   \n",
       "3                 NaN       2.0       1.0       2.0       NaN       4.0   \n",
       "4                 NaN       5.0       NaN       NaN       1.0       4.0   \n",
       "\n",
       "customer_id  20667233  20674086  20678392  20679518  20691853  20694145  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "1                 NaN       1.0       NaN       NaN       2.0       NaN   \n",
       "2                 NaN       2.0       1.0       1.0       NaN       NaN   \n",
       "3                 NaN       NaN       7.0       1.0       NaN       NaN   \n",
       "4                 1.0       2.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  20698661  20711131  20714301  20729045  20731831  20738719  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       3.0       NaN       NaN       1.0   \n",
       "1                 1.0       NaN       3.0       NaN       NaN       1.0   \n",
       "2                 1.0       NaN       1.0       NaN       NaN       NaN   \n",
       "3                 NaN       1.0       3.0       NaN       NaN       NaN   \n",
       "4                 1.0       2.0       2.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  20738775  20743864  20754997  20757435  20757503  20759806  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       3.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       1.0       NaN       1.0   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "\n",
       "customer_id  20762675  20784292  20789093  20795048  20845773  20850914  \\\n",
       "num_day                                                                   \n",
       "0                 3.0       2.0       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 1.0       NaN       1.0       4.0       NaN       NaN   \n",
       "4                 1.0       NaN       NaN       2.0       NaN       NaN   \n",
       "\n",
       "customer_id  20852671  20856837  20857038  20861887  20873616  20873710  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "2                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "4                 2.0       2.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  20881726  20910492  20917387  20930910  20931581  20946104  \\\n",
       "num_day                                                                   \n",
       "0                 5.0       NaN       5.0       NaN       NaN       NaN   \n",
       "1                 1.0       2.0       1.0       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "3                 3.0       1.0       3.0       NaN       NaN       NaN   \n",
       "4                 1.0       1.0       1.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  20953227  20958532  20962886  20963156  20976392  20977835  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       3.0       1.0       NaN       1.0       NaN   \n",
       "1                 2.0       NaN       NaN       NaN       1.0       NaN   \n",
       "2                 2.0       NaN       NaN       NaN       2.0       NaN   \n",
       "3                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 2.0       2.0       2.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  20982341  20984307  20984811  20993674  20995341  20999735  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       1.0       NaN       2.0       5.0       NaN   \n",
       "1                 1.0       NaN       NaN       5.0       2.0       1.0   \n",
       "2                 NaN       1.0       NaN       7.0       NaN       1.0   \n",
       "3                 NaN       NaN       NaN       3.0       NaN       2.0   \n",
       "4                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  21002565  21004118  21006134  21019874  21043900  21044517  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       2.0       NaN       NaN       NaN       1.0   \n",
       "1                 NaN       NaN       NaN       NaN       1.0       3.0   \n",
       "2                 NaN       NaN       NaN       4.0       NaN       3.0   \n",
       "3                 NaN       NaN       NaN       1.0       NaN       6.0   \n",
       "4                 NaN       NaN       1.0       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  21045545  21052918  21055430  21055771  21077584  21078650  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       2.0       5.0       NaN       NaN       1.0   \n",
       "1                 2.0       2.0       3.0       NaN       NaN       1.0   \n",
       "2                 NaN       4.0       1.0       NaN       NaN       1.0   \n",
       "3                 2.0       3.0       3.0       NaN       NaN       NaN   \n",
       "4                 NaN       3.0       2.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  21084731  21096604  21106621  21131912  21143923  21153587  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       2.0       NaN       1.0       NaN       NaN   \n",
       "1                 NaN       2.0       NaN       3.0       NaN       NaN   \n",
       "2                 2.0       2.0       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 1.0       2.0       2.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  21166839  21179768  21205194  21215477  21217132  21222306  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       1.0       6.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       7.0       NaN   \n",
       "2                 1.0       NaN       NaN       NaN       2.0       NaN   \n",
       "3                 2.0       NaN       NaN       NaN       3.0       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       4.0       NaN   \n",
       "\n",
       "customer_id  21227440  21230067  21232816  21239347  21246374  21248516  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 1.0       NaN       NaN       1.0       NaN       NaN   \n",
       "2                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 1.0       NaN       NaN       1.0       NaN       NaN   \n",
       "4                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  21250617  21256734  21257861  21262060  21264160  21264678  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "4                 NaN       NaN       1.0       2.0       NaN       NaN   \n",
       "\n",
       "customer_id  21264734  21275495  21276897  21283235  21287712  21298518  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       3.0       NaN       NaN       2.0   \n",
       "1                 NaN       NaN       NaN       NaN       3.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       1.0       NaN       2.0       1.0   \n",
       "4                 5.0       1.0       3.0       NaN       1.0       3.0   \n",
       "\n",
       "customer_id  21305398  21305838  21323039  21323589  21328244  21330554  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       1.0       NaN       2.0       NaN   \n",
       "\n",
       "customer_id  21332185  21335190  21343114  21349519  21357866  21359349  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  21376002  21376110  21383331  21387357  21392336  21396319  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       5.0       NaN       NaN       3.0   \n",
       "1                 1.0       NaN       1.0       NaN       NaN       NaN   \n",
       "2                 1.0       2.0       NaN       NaN       NaN       1.0   \n",
       "3                 NaN       1.0       NaN       NaN       NaN       2.0   \n",
       "4                 NaN       1.0       1.0       2.0       NaN       NaN   \n",
       "\n",
       "customer_id  21417703  21417943  21453519  21461075  21473936  21489148  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       5.0       1.0       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 1.0       NaN       NaN       1.0       NaN       NaN   \n",
       "3                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 1.0      15.0       NaN       NaN       NaN       4.0   \n",
       "\n",
       "customer_id  21489898  21492846  21493304  21494481  21512738  21520140  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       6.0       NaN       NaN       2.0       1.0   \n",
       "1                 3.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       1.0       NaN       1.0   \n",
       "3                 NaN       NaN       NaN       NaN       2.0       4.0   \n",
       "4                 1.0       1.0       NaN       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  21527087  21544548  21546709  21548262  21548426  21567965  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 3.0       NaN       NaN       NaN       1.0       NaN   \n",
       "3                 NaN       2.0       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       3.0       NaN       4.0       NaN       NaN   \n",
       "\n",
       "customer_id  21570595  21572799  21574386  21576249  21580278  21588377  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       2.0       6.0       1.0   \n",
       "1                 NaN       NaN       NaN       2.0       2.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       2.0       3.0   \n",
       "3                 NaN       NaN       1.0       3.0       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       4.0       1.0   \n",
       "\n",
       "customer_id  21589939  21590602  21594302  21602746  21606094  21627669  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       3.0       NaN       2.0       NaN       2.0   \n",
       "2                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       2.0       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       4.0       NaN       4.0       NaN       NaN   \n",
       "\n",
       "customer_id  21632339  21638159  21638457  21642088  21643657  21650358  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "2                 NaN       NaN       7.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       4.0       NaN       2.0       NaN   \n",
       "4                 2.0       NaN       3.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  21653209  21654299  21668475  21678642  21693097  21694821  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "3                 NaN       1.0       1.0       NaN       NaN       1.0   \n",
       "4                 NaN       NaN       1.0       NaN       NaN       2.0   \n",
       "\n",
       "customer_id  21697008  21702278  21705818  21709256  21711483  21711599  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       3.0       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  21711616  21714665  21717419  21717441  21724802  21734206  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       1.0       7.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       4.0       1.0   \n",
       "3                 3.0       2.0       NaN       1.0       5.0       NaN   \n",
       "4                 4.0       NaN       NaN       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  21747074  21770327  21773817  21775525  21776503  21785327  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       NaN       NaN       1.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 1.0       NaN       NaN       NaN       NaN       3.0   \n",
       "3                 NaN       2.0       1.0       1.0       NaN       2.0   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  21791384  21794621  21816186  21819416  21823356  21825497  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       1.0       NaN       2.0       NaN       NaN   \n",
       "1                 1.0       1.0       NaN       2.0       NaN       NaN   \n",
       "2                 2.0       1.0       NaN       1.0       NaN       NaN   \n",
       "3                 2.0       3.0       NaN       3.0       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       6.0       NaN       NaN   \n",
       "\n",
       "customer_id  21835349  21840407  21841275  21842478  21845362  21859319  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "2                 1.0       NaN       NaN       NaN       NaN       2.0   \n",
       "3                 1.0       1.0       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       1.0       1.0       NaN   \n",
       "\n",
       "customer_id  21865414  21865651  21869965  21871084  21882934  21883222  \\\n",
       "num_day                                                                   \n",
       "0                 3.0       NaN       1.0       2.0       NaN       NaN   \n",
       "1                 3.0       NaN       1.0       NaN       NaN       1.0   \n",
       "2                 4.0       NaN       2.0       NaN       NaN       NaN   \n",
       "3                 2.0       NaN       1.0       NaN       NaN       NaN   \n",
       "4                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  21888387  21891862  21901417  21901780  21905258  21910127  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       2.0       2.0       NaN   \n",
       "1                 NaN       NaN       NaN       5.0       2.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       8.0       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       5.0       5.0       NaN   \n",
       "\n",
       "customer_id  21910148  21925358  21928402  21940747  21947799  21957836  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       1.0       1.0       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  21962984  21968868  21970231  21978009  21982855  21988907  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 1.0       1.0       NaN       NaN       NaN       NaN   \n",
       "4                 5.0       NaN       1.0       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  21996327  22000295  22013956  22015177  22027912  22042348  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       NaN       NaN       1.0       1.0   \n",
       "1                 NaN       NaN       NaN       NaN       1.0       3.0   \n",
       "2                 NaN       1.0       NaN       NaN       2.0       2.0   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       3.0   \n",
       "4                 NaN       NaN       NaN       NaN       2.0       1.0   \n",
       "\n",
       "customer_id  22053688  22060157  22061791  22068186  22082015  22111039  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       5.0       NaN       4.0       NaN       1.0   \n",
       "1                 NaN       6.0       1.0       2.0       NaN       NaN   \n",
       "2                 NaN       3.0       1.0       2.0       NaN       NaN   \n",
       "3                 NaN       2.0       1.0       1.0       NaN       NaN   \n",
       "4                 NaN       3.0       2.0       3.0       NaN       NaN   \n",
       "\n",
       "customer_id  22119757  22127678  22144602  22147183  22148028  22161142  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "3                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  22162475  22164725  22169732  22172026  22179409  22181157  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "4                 1.0       NaN       2.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  22194322  22198975  22199923  22203942  22216290  22217466  \\\n",
       "num_day                                                                   \n",
       "0                 3.0       NaN       3.0       NaN       4.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       3.0       NaN   \n",
       "2                 3.0       NaN       2.0       NaN       1.0       NaN   \n",
       "3                 2.0       NaN       1.0       NaN       1.0       NaN   \n",
       "4                 3.0       NaN       NaN       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  22222581  22231387  22233287  22234245  22235271  22242402  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       1.0       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       1.0       2.0       NaN       1.0       2.0   \n",
       "3                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "4                 NaN       NaN       2.0       1.0       1.0       NaN   \n",
       "\n",
       "customer_id  22252394  22255163  22291599  22296220  22313840  22319696  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       4.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "4                 NaN       NaN       1.0       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  22321124  22331456  22332292  22333911  22338028  22344304  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "1                 NaN       NaN       1.0       NaN       NaN       7.0   \n",
       "2                 1.0       NaN       NaN       NaN       NaN       7.0   \n",
       "3                 2.0       NaN       1.0       NaN       NaN       2.0   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  22347463  22355453  22358256  22358381  22364003  22370499  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       NaN       3.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       3.0       5.0       NaN   \n",
       "2                 8.0       NaN       NaN       2.0       NaN       NaN   \n",
       "3                12.0       NaN       NaN       NaN       1.0       NaN   \n",
       "4                 5.0       NaN       1.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  22372484  22374050  22378093  22380244  22383728  22383843  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       2.0       NaN       NaN       NaN       1.0   \n",
       "1                 NaN       NaN       NaN       NaN       1.0       1.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       3.0   \n",
       "3                 NaN       NaN       NaN       NaN       2.0       2.0   \n",
       "4                 NaN       2.0       NaN       NaN       NaN       2.0   \n",
       "\n",
       "customer_id  22393664  22407584  22410683  22422408  22435534  22443107  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "1                 NaN       2.0       NaN       1.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       4.0   \n",
       "\n",
       "customer_id  22444378  22450434  22450717  22471512  22473210  22474552  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       2.0       NaN       3.0   \n",
       "1                 NaN       1.0       NaN       NaN       NaN       4.0   \n",
       "2                 NaN       9.0       NaN       2.0       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "4                 NaN       NaN       1.0       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  22478214  22483333  22490308  22490949  22506854  22511212  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       2.0       1.0       NaN       NaN       NaN   \n",
       "1                 NaN       3.0       NaN       1.0       NaN       NaN   \n",
       "2                 1.0       3.0       NaN       NaN       NaN       2.0   \n",
       "3                 3.0       NaN       NaN       NaN       3.0       NaN   \n",
       "4                 2.0       1.0       NaN       4.0       1.0       NaN   \n",
       "\n",
       "customer_id  22544752  22556651  22564064  22564251  22566303  22570682  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       NaN       1.0       1.0   \n",
       "1                 NaN       NaN       1.0       NaN       1.0       NaN   \n",
       "2                 NaN       1.0       1.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       1.0       2.0       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  22576987  22585431  22594058  22613150  22617472  22624176  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       2.0       NaN       NaN       NaN       1.0   \n",
       "2                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       2.0       NaN       1.0       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       2.0       1.0       7.0   \n",
       "\n",
       "customer_id  22626948  22638589  22646103  22665815  22669958  22673314  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  22680180  22684975  22687518  22688666  22698869  22714692  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 4.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 1.0       NaN       1.0       NaN       NaN       NaN   \n",
       "3                 5.0       1.0       2.0       NaN       NaN       NaN   \n",
       "4                 4.0       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  22716068  22717722  22736056  22739382  22755426  22756680  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       3.0       NaN       NaN       2.0       3.0   \n",
       "1                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "2                 NaN       3.0       NaN       4.0       1.0       NaN   \n",
       "3                 NaN       1.0       NaN       1.0       4.0       1.0   \n",
       "4                 1.0       1.0       NaN       2.0       1.0       NaN   \n",
       "\n",
       "customer_id  22757461  22771802  22772988  22774372  22774413  22776912  \\\n",
       "num_day                                                                   \n",
       "0                 6.0      13.0       3.0       NaN       NaN       2.0   \n",
       "1                 1.0       6.0       NaN       NaN       NaN       3.0   \n",
       "2                 1.0       7.0       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       4.0       NaN       NaN       NaN       1.0   \n",
       "4                 2.0       2.0       NaN       NaN       NaN       3.0   \n",
       "\n",
       "customer_id  22787448  22789341  22802134  22808924  22818488  22838344  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       3.0       NaN       NaN       NaN       3.0   \n",
       "1                 NaN       NaN       3.0       NaN       NaN       1.0   \n",
       "2                 NaN       NaN       2.0       NaN       NaN       5.0   \n",
       "3                 2.0       NaN       NaN       NaN       NaN       2.0   \n",
       "4                 NaN       NaN       1.0       NaN       1.0       1.0   \n",
       "\n",
       "customer_id  22850599  22852194  22856441  22862903  22882112  22882838  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       4.0       NaN       4.0       NaN       NaN   \n",
       "1                 NaN       1.0       NaN       1.0       NaN       NaN   \n",
       "2                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       2.0       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       1.0       NaN       5.0       NaN       NaN   \n",
       "\n",
       "customer_id  22885925  22895111  22902140  22931716  22954574  22957454  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       NaN       1.0       3.0   \n",
       "1                 NaN       NaN       1.0       NaN       1.0       NaN   \n",
       "2                 NaN       2.0       NaN       NaN       NaN       1.0   \n",
       "3                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       1.0       NaN       NaN       2.0       1.0   \n",
       "\n",
       "customer_id  22968551  22970531  22972994  22975715  22977488  22986190  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       2.0       NaN       NaN       1.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "2                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       2.0       NaN       3.0   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  23014262  23015407  23030452  23031582  23043170  23060623  \\\n",
       "num_day                                                                   \n",
       "0                 7.0       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 3.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 1.0       NaN       NaN       NaN       1.0       NaN   \n",
       "3                 7.0       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  23070515  23071652  23088012  23089574  23097908  23100536  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       2.0       2.0       NaN       NaN       NaN   \n",
       "1                 NaN       1.0       NaN       NaN       NaN       2.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       3.0       1.0       NaN       NaN       NaN   \n",
       "4                 NaN       7.0       1.0       NaN       2.0       NaN   \n",
       "\n",
       "customer_id  23102041  23104892  23110094  23111193  23119288  23124291  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       4.0       1.0       NaN       1.0   \n",
       "1                 NaN       NaN       NaN       6.0       1.0       NaN   \n",
       "2                 NaN       NaN       NaN       3.0       7.0       NaN   \n",
       "3                 NaN       NaN       NaN       2.0       NaN       1.0   \n",
       "4                 NaN       NaN       NaN       5.0       NaN       NaN   \n",
       "\n",
       "customer_id  23133617  23136235  23147675  23152188  23160845  23168102  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       4.0       1.0       NaN       NaN   \n",
       "2                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  23170258  23175388  23188180  23188394  23190416  23194817  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       3.0       NaN       NaN   \n",
       "1                 NaN       1.0       NaN       1.0       1.0       NaN   \n",
       "2                 NaN       1.0       NaN       1.0       NaN       NaN   \n",
       "3                 NaN       1.0       NaN       NaN       1.0       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "\n",
       "customer_id  23200885  23204999  23207606  23221160  23234918  23249307  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       3.0       NaN       NaN   \n",
       "1                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "2                 1.0       NaN       NaN       1.0       1.0       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  23251829  23265782  23293291  23303521  23308319  23310745  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       5.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       5.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       3.0       NaN       2.0       NaN       1.0   \n",
       "4                 1.0       NaN       NaN       1.0       1.0       NaN   \n",
       "\n",
       "customer_id  23316462  23316819  23329206  23329654  23336033  23345904  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       2.0       NaN       1.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       4.0       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       1.0       1.0       1.0       NaN   \n",
       "\n",
       "customer_id  23348169  23349119  23361847  23370346  23371909  23373318  \\\n",
       "num_day                                                                   \n",
       "0                 3.0       NaN       NaN       4.0       6.0       NaN   \n",
       "1                 4.0       NaN       NaN       3.0       1.0       NaN   \n",
       "2                 3.0       NaN       NaN       2.0       NaN       2.0   \n",
       "3                 3.0       1.0       NaN       2.0       NaN       NaN   \n",
       "4                 3.0       1.0       1.0       NaN       NaN       3.0   \n",
       "\n",
       "customer_id  23378995  23404507  23405588  23409492  23410682  23414531  \\\n",
       "num_day                                                                   \n",
       "0                 6.0       NaN       NaN       1.0       3.0       2.0   \n",
       "1                 7.0       NaN       NaN       3.0       1.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 1.0       NaN       NaN       4.0       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "\n",
       "customer_id  23427716  23436847  23446972  23447115  23462825  23468341  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       NaN       2.0       NaN   \n",
       "1                 NaN       1.0       2.0       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       1.0       1.0   \n",
       "3                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  23478097  23481237  23492963  23495851  23502523  23509423  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       3.0       NaN       NaN       1.0       NaN   \n",
       "1                 NaN       6.0       NaN       NaN       NaN       NaN   \n",
       "2                 1.0       2.0       1.0       NaN       NaN       3.0   \n",
       "3                 NaN       4.0       1.0       NaN       1.0       NaN   \n",
       "4                 1.0       3.0       2.0       6.0       NaN       NaN   \n",
       "\n",
       "customer_id  23513295  23524823  23527097  23529792  23530657  23549229  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "1                 NaN       NaN       3.0       NaN       NaN       1.0   \n",
       "2                 NaN       NaN       7.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       6.0       NaN       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  23560101  23562370  23566557  23587379  23603973  23607341  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       1.0       NaN       NaN       NaN   \n",
       "1                 2.0       2.0       2.0       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 1.0       1.0       NaN       NaN       NaN       NaN   \n",
       "4                 1.0       1.0       2.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  23609687  23652302  23654718  23667900  23671549  23687465  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       2.0       NaN       NaN       1.0   \n",
       "1                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       1.0       1.0       NaN       NaN       NaN   \n",
       "4                 NaN       2.0       2.0       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  23687631  23688907  23690692  23690961  23696398  23701543  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  23702730  23703756  23758146  23769674  23786676  23793742  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       1.0       NaN       1.0       NaN   \n",
       "1                 2.0       NaN       NaN       1.0       NaN       NaN   \n",
       "2                 1.0       NaN       NaN       NaN       1.0       NaN   \n",
       "3                 2.0       NaN       NaN       1.0       NaN       NaN   \n",
       "4                 4.0       NaN       NaN       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  23796437  23803141  23821386  23823898  23833911  23834826  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       3.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 2.0       NaN       NaN       NaN      14.0       NaN   \n",
       "3                 1.0       NaN       NaN       NaN       9.0       2.0   \n",
       "4                 NaN       NaN       NaN       NaN       4.0       NaN   \n",
       "\n",
       "customer_id  23840539  23846566  23849001  23858374  23859872  23867275  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       NaN       NaN       NaN       1.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "2                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       5.0   \n",
       "\n",
       "customer_id  23868804  23878723  23898185  23899213  23902289  23904796  \\\n",
       "num_day                                                                   \n",
       "0                 8.0       NaN       1.0       6.0       NaN       NaN   \n",
       "1                 1.0       NaN       1.0       4.0       NaN       NaN   \n",
       "2                 7.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 3.0       NaN       NaN       2.0       NaN       1.0   \n",
       "4                 2.0       NaN       NaN       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  23910067  23912204  23916705  23920319  23924835  23937820  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       3.0       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       4.0   \n",
       "2                 NaN       NaN       NaN       1.0       2.0       NaN   \n",
       "3                 NaN       2.0       2.0       NaN       1.0       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  23940292  23942860  23953673  23955932  23963963  23969519  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       2.0       NaN       NaN       4.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  23993168  23996109  23998119  23999534  24006859  24020136  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  24021156  24022030  24039351  24039668  24040537  24045274  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       1.0       NaN       NaN       1.0       NaN   \n",
       "2                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "3                 4.0       NaN       NaN       NaN       1.0       NaN   \n",
       "4                 2.0       NaN       2.0       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  24048165  24052054  24052169  24054274  24062324  24076035  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       1.0       NaN       NaN       2.0   \n",
       "1                 1.0       NaN       1.0       2.0       NaN       NaN   \n",
       "2                 2.0       NaN       NaN       NaN       NaN       2.0   \n",
       "3                 3.0       NaN       NaN       1.0       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       4.0       NaN       NaN   \n",
       "\n",
       "customer_id  24076942  24091159  24093135  24093456  24102800  24105909  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       NaN       NaN       2.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       3.0   \n",
       "2                 NaN       2.0       NaN       NaN       NaN       2.0   \n",
       "3                 NaN       1.0       NaN       NaN       1.0       2.0   \n",
       "4                 NaN       3.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  24112213  24114731  24116864  24119285  24129110  24133283  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       NaN       2.0       NaN       NaN   \n",
       "1                 3.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 2.0       1.0       NaN       NaN       NaN       NaN   \n",
       "3                 1.0       1.0       NaN       1.0       2.0       NaN   \n",
       "4                 1.0       2.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  24135148  24136554  24140887  24144144  24150050  24161695  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       3.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       3.0       NaN       NaN   \n",
       "2                 NaN       1.0       NaN       1.0       NaN       NaN   \n",
       "3                 NaN       2.0       NaN       2.0       1.0       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  24163664  24171198  24173769  24178563  24186770  24187802  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "1                 1.0       3.0       NaN       NaN       NaN       NaN   \n",
       "2                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  24197647  24201843  24214494  24224910  24227698  24234439  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "1                 1.0       NaN       NaN       NaN       NaN       3.0   \n",
       "2                 NaN       NaN       NaN       2.0       1.0       NaN   \n",
       "3                 NaN       NaN       NaN       1.0       NaN       3.0   \n",
       "4                 1.0       NaN       2.0       2.0       NaN       NaN   \n",
       "\n",
       "customer_id  24243511  24250698  24259983  24260808  24262944  24270279  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       NaN       NaN       1.0       1.0   \n",
       "1                 1.0       1.0       NaN       1.0       1.0       5.0   \n",
       "2                 2.0       NaN       NaN       1.0       NaN       4.0   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       3.0   \n",
       "4                 1.0       NaN       NaN       1.0       1.0       3.0   \n",
       "\n",
       "customer_id  24270899  24271809  24276209  24276565  24285751  24308330  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       NaN       NaN       6.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       4.0   \n",
       "3                 NaN       NaN       NaN       1.0       NaN       3.0   \n",
       "4                 NaN       1.0       NaN       2.0       NaN       NaN   \n",
       "\n",
       "customer_id  24316154  24321064  24331428  24338357  24338730  24339986  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       3.0       3.0   \n",
       "1                 1.0       NaN       NaN       2.0       NaN       1.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 1.0       1.0       NaN       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  24342504  24351865  24359783  24372365  24379703  24382422  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       NaN       NaN       5.0   \n",
       "1                 NaN       1.0       NaN       NaN       NaN       2.0   \n",
       "2                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "4                 NaN       1.0       NaN       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  24403379  24405181  24406160  24407970  24414430  24419000  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       1.0       2.0       5.0   \n",
       "1                 NaN       NaN       NaN       NaN       3.0       2.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       4.0   \n",
       "3                 2.0       NaN       NaN       NaN       8.0       2.0   \n",
       "4                 NaN       NaN       NaN       NaN       2.0       2.0   \n",
       "\n",
       "customer_id  24436367  24440178  24442897  24449837  24455454  24456696  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       2.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 1.0       NaN       NaN       1.0       1.0       NaN   \n",
       "3                 2.0       NaN       NaN       NaN       2.0       NaN   \n",
       "4                 6.0       NaN       NaN       1.0       NaN       1.0   \n",
       "\n",
       "customer_id  24459128  24467923  24474724  24479386  24481195  24484220  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "3                 1.0       1.0       NaN       1.0       NaN       NaN   \n",
       "4                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  24485988  24494294  24494792  24496856  24497218  24504312  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       1.0       NaN       NaN       NaN   \n",
       "1                 NaN       1.0       1.0       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       2.0       1.0       NaN       NaN   \n",
       "4                 NaN       NaN       4.0       NaN       2.0       1.0   \n",
       "\n",
       "customer_id  24505439  24506144  24511234  24513041  24521666  24524890  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       4.0       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 4.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 2.0       NaN       1.0       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  24532978  24539263  24551767  24553371  24560423  24562550  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       6.0       NaN       NaN       1.0       NaN   \n",
       "1                 NaN       1.0       1.0       NaN       3.0       NaN   \n",
       "2                 NaN       6.0       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       2.0       NaN       NaN       3.0       NaN   \n",
       "4                 NaN       1.0       2.0       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  24567813  24590834  24599321  24599816  24603771  24603855  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 2.0       NaN       NaN       NaN       2.0       2.0   \n",
       "2                 1.0       NaN       NaN       NaN       1.0       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "4                 3.0       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  24612751  24616822  24622548  24630028  24634142  24638488  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       1.0      10.0       NaN       2.0       3.0   \n",
       "1                 2.0       1.0       6.0       NaN       NaN       4.0   \n",
       "2                 1.0       2.0       5.0       1.0       NaN       1.0   \n",
       "3                 5.0       1.0       5.0       2.0       2.0       NaN   \n",
       "4                 3.0       3.0       2.0       4.0       1.0       5.0   \n",
       "\n",
       "customer_id  24644305  24654774  24654877  24657317  24666275  24675050  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       9.0       NaN       3.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       3.0   \n",
       "2                 NaN       NaN       2.0       NaN       NaN       2.0   \n",
       "3                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       1.0       NaN       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  24675912  24686076  24686795  24690468  24711252  24711698  \\\n",
       "num_day                                                                   \n",
       "0                 4.0       1.0       NaN       1.0       2.0       4.0   \n",
       "1                 3.0       2.0       NaN       3.0       3.0       3.0   \n",
       "2                 1.0       NaN       NaN       1.0       2.0       2.0   \n",
       "3                 5.0       NaN       NaN       1.0       1.0       3.0   \n",
       "4                 4.0       1.0       NaN       1.0       2.0       2.0   \n",
       "\n",
       "customer_id  24712099  24713158  24723991  24753950  24763937  24774702  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       2.0       1.0   \n",
       "1                 NaN       NaN       NaN       1.0       4.0       NaN   \n",
       "2                 NaN       2.0       NaN       NaN       2.0       NaN   \n",
       "3                 2.0       NaN       NaN       NaN       1.0       NaN   \n",
       "4                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  24775071  24784802  24785146  24796552  24799640  24805329  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       1.0       1.0   \n",
       "1                 NaN       3.0       NaN       NaN       NaN       3.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       3.0   \n",
       "3                 NaN       NaN       NaN       NaN       4.0       3.0   \n",
       "4                 1.0       NaN       NaN       NaN       1.0       2.0   \n",
       "\n",
       "customer_id  24806693  24811752  24812943  24813332  24825702  24831298  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "\n",
       "customer_id  24840888  24842934  24862277  24862707  24864601  24865095  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       NaN       NaN       3.0   \n",
       "1                 NaN       NaN       1.0       NaN       NaN       1.0   \n",
       "2                 NaN       NaN       3.0       NaN       NaN       NaN   \n",
       "3                 NaN       5.0       1.0       NaN       NaN       NaN   \n",
       "4                 NaN       2.0       NaN       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  24871230  24871911  24875246  24879096  24879326  24885229  \\\n",
       "num_day                                                                   \n",
       "0                 3.0       5.0       NaN       NaN       1.0       4.0   \n",
       "1                 2.0      17.0       NaN       NaN       1.0       NaN   \n",
       "2                 3.0       3.0       NaN       NaN       NaN       3.0   \n",
       "3                 8.0       NaN       NaN       NaN       NaN       NaN   \n",
       "4                12.0       NaN       1.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  24886460  24898411  24901582  24902845  24915105  24933807  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       3.0       1.0       NaN   \n",
       "1                 NaN       NaN       9.0       3.0       NaN       NaN   \n",
       "2                 NaN       1.0       1.0       NaN       1.0       NaN   \n",
       "3                 NaN       1.0       5.0       3.0       NaN       3.0   \n",
       "4                 NaN       1.0       4.0       3.0       NaN       NaN   \n",
       "\n",
       "customer_id  24935096  24938289  24942584  24943791  24943882  24946026  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       4.0       NaN       3.0       2.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "2                 2.0       4.0       NaN       1.0       NaN       NaN   \n",
       "3                 2.0       1.0       NaN       1.0       1.0       NaN   \n",
       "4                 2.0       NaN       NaN       3.0       NaN       NaN   \n",
       "\n",
       "customer_id  24951191  24952158  24953128  24964917  24965506  24971994  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "4                 1.0       NaN       NaN       NaN       5.0       NaN   \n",
       "\n",
       "customer_id  24979547  24998223  25002845  25008534  25013975  25014745  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       1.0       NaN       2.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "\n",
       "customer_id  25017022  25021061  25022645  25044249  25055219  25059462  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       1.0       1.0   \n",
       "2                 NaN       NaN       NaN       NaN       1.0       1.0   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  25060635  25063166  25070887  25075275  25092334  25095126  \\\n",
       "num_day                                                                   \n",
       "0                 3.0       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 1.0       NaN       NaN       2.0       NaN       NaN   \n",
       "3                10.0       NaN       NaN       2.0       NaN       NaN   \n",
       "4                 3.0       NaN       NaN       2.0       NaN       NaN   \n",
       "\n",
       "customer_id  25101388  25113046  25113404  25114146  25123154  25126328  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       3.0   \n",
       "1                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 4.0       NaN       NaN       NaN       NaN       3.0   \n",
       "3                 3.0       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 4.0       1.0       NaN       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  25130933  25132163  25167349  25174482  25191119  25200502  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       5.0       NaN       1.0       NaN       NaN   \n",
       "1                 NaN       7.0       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       5.0       NaN       NaN       NaN       NaN   \n",
       "3                 1.0       8.0       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       6.0       NaN       1.0       2.0       NaN   \n",
       "\n",
       "customer_id  25201360  25203159  25207125  25210429  25227354  25230715  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       1.0       1.0       1.0       NaN       NaN   \n",
       "1                 NaN       7.0       NaN       NaN       NaN       NaN   \n",
       "2                 1.0       NaN       1.0       NaN       NaN       3.0   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "4                 1.0       NaN       1.0       1.0       1.0       NaN   \n",
       "\n",
       "customer_id  25252032  25256271  25259924  25270793  25290690  25296226  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       2.0       3.0       NaN   \n",
       "1                 NaN       NaN       NaN       2.0       1.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "3                 NaN       NaN       2.0       NaN       1.0       NaN   \n",
       "4                 NaN       NaN       NaN       2.0       1.0       1.0   \n",
       "\n",
       "customer_id  25311951  25321237  25326765  25336182  25340658  25355724  \\\n",
       "num_day                                                                   \n",
       "0                 3.0       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       1.0       1.0       NaN       NaN   \n",
       "2                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       1.0       1.0       NaN       NaN   \n",
       "4                 1.0       NaN       1.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  25365246  25373233  25377986  25382978  25425843  25435988  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "1                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       1.0       4.0       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  25439154  25445257  25446500  25453268  25457344  25460787  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       NaN       1.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       2.0       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       1.0       2.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  25464048  25484356  25484406  25485208  25486274  25486872  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       1.0       1.0       1.0   \n",
       "1                 NaN       NaN       NaN       NaN       2.0       1.0   \n",
       "2                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       2.0       2.0       NaN   \n",
       "\n",
       "customer_id  25492100  25497358  25501376  25519406  25533019  25533203  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       3.0       3.0       NaN       NaN   \n",
       "3                 NaN       NaN       1.0       1.0       NaN       NaN   \n",
       "4                 1.0       NaN       NaN       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  25537795  25578110  25579809  25581270  25588143  25589416  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       2.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "2                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "3                 1.0       1.0       NaN       1.0       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  25590548  25596058  25601453  25603640  25604069  25605244  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       4.0   \n",
       "1                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "\n",
       "customer_id  25605832  25607693  25607733  25617927  25621948  25624254  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 2.0       NaN       1.0       NaN       NaN       NaN   \n",
       "2                 4.0       NaN       NaN       NaN       2.0       NaN   \n",
       "3                 2.0       NaN       5.0       NaN       NaN       NaN   \n",
       "4                 3.0       NaN      12.0       NaN       3.0       NaN   \n",
       "\n",
       "customer_id  25627954  25634315  25636639  25646885  25655152  25655267  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       3.0       NaN       NaN       NaN       2.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "2                 1.0       NaN       1.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  25667968  25670842  25674364  25676816  25686522  25686628  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       1.0       NaN       1.0   \n",
       "3                 NaN       2.0       3.0       1.0       NaN       NaN   \n",
       "4                 NaN       3.0       5.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  25699929  25709662  25726952  25734080  25748744  25757734  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       3.0       2.0       1.0   \n",
       "1                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "2                 NaN       1.0       NaN       NaN       NaN       1.0   \n",
       "3                 2.0       5.0       NaN       NaN       6.0       NaN   \n",
       "4                 NaN       2.0       5.0       2.0       NaN       NaN   \n",
       "\n",
       "customer_id  25758474  25767031  25768503  25771743  25773882  25779030  \\\n",
       "num_day                                                                   \n",
       "0                 5.0       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 1.0       1.0       3.0       NaN       2.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 1.0       1.0       1.0       NaN       2.0       NaN   \n",
       "4                 3.0       NaN       NaN       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  25793682  25804863  25812171  25824526  25824736  25826539  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       1.0       NaN       NaN       NaN   \n",
       "1                 NaN       2.0       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       2.0       1.0       1.0       NaN       NaN   \n",
       "3                 NaN       1.0       NaN       1.0       NaN       NaN   \n",
       "4                 NaN       2.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  25827034  25843453  25850527  25850578  25852902  25858769  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       NaN       NaN       NaN       1.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  25867134  25868288  25873481  25876033  25882049  25891851  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       2.0       NaN       NaN       4.0       2.0   \n",
       "1                 NaN       1.0       NaN       NaN       2.0       3.0   \n",
       "2                 NaN       4.0       NaN       NaN       1.0       NaN   \n",
       "3                 3.0       NaN       NaN       NaN       NaN       3.0   \n",
       "4                 2.0       2.0       1.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  25899565  25925222  25935635  25941092  25966874  25967949  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       2.0       2.0       NaN       NaN       5.0   \n",
       "1                 1.0       1.0       NaN       NaN       NaN       8.0   \n",
       "2                 3.0       1.0       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       1.0       3.0       1.0       NaN       1.0   \n",
       "4                 NaN       2.0       1.0       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  25979685  25985539  25992094  25992960  25998489  26030145  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       3.0       NaN       NaN       NaN       NaN   \n",
       "1                 1.0       1.0       NaN       1.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       5.0       NaN       NaN   \n",
       "3                 6.0       1.0       NaN       NaN       NaN       NaN   \n",
       "4                 3.0       1.0       NaN       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  26033848  26037329  26042080  26044859  26047380  26055781  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       3.0   \n",
       "1                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "2                 2.0       NaN       NaN       1.0       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "4                 1.0       NaN       NaN       3.0       NaN       NaN   \n",
       "\n",
       "customer_id  26057697  26059244  26063637  26064554  26069192  26069968  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       2.0       NaN       3.0       1.0       NaN   \n",
       "1                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "2                 NaN       1.0       NaN       2.0       NaN       1.0   \n",
       "3                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 2.0       1.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  26070862  26093478  26096740  26108972  26113070  26118785  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       2.0       NaN       NaN       2.0       NaN   \n",
       "1                 NaN       1.0       NaN       NaN       1.0       1.0   \n",
       "2                 NaN       2.0       NaN       NaN       1.0       NaN   \n",
       "3                 NaN       1.0       NaN       NaN       1.0       NaN   \n",
       "4                 NaN       4.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  26120775  26125439  26127374  26134385  26138847  26140894  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 2.0       2.0       NaN       2.0       2.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       2.0       4.0       NaN       NaN       NaN   \n",
       "4                 NaN       1.0       4.0       NaN       3.0       NaN   \n",
       "\n",
       "customer_id  26147466  26152657  26159801  26165292  26171763  26175533  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       2.0       NaN       NaN       1.0       NaN   \n",
       "2                 2.0       3.0       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       2.0       NaN       NaN       NaN       1.0   \n",
       "4                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  26175665  26178078  26180886  26206148  26211677  26214523  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       1.0       NaN       1.0       NaN   \n",
       "1                 NaN       1.0       NaN       1.0       NaN       NaN   \n",
       "2                 NaN       1.0       1.0       NaN       2.0       NaN   \n",
       "3                 NaN       NaN       NaN       1.0       2.0       NaN   \n",
       "4                 NaN       1.0       NaN       NaN       1.0       2.0   \n",
       "\n",
       "customer_id  26215041  26226954  26232239  26240933  26250094  26258118  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "1                 1.0       2.0       6.0       NaN       NaN       NaN   \n",
       "2                 4.0       NaN       NaN       1.0       NaN       NaN   \n",
       "3                 NaN       1.0       3.0       NaN       NaN       NaN   \n",
       "4                 7.0       NaN       3.0       2.0       NaN       NaN   \n",
       "\n",
       "customer_id  26264346  26285318  26288262  26314167  26332070  26340343  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  26342114  26344467  26348533  26358410  26362332  26365005  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  26365531  26379578  26384480  26385344  26388579  26392084  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       2.0       2.0       NaN       NaN   \n",
       "1                 NaN       NaN       2.0       2.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       1.0       NaN       3.0   \n",
       "3                 NaN       NaN       NaN       2.0       NaN       2.0   \n",
       "4                 1.0       NaN       1.0       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  26396464  26396826  26409535  26414141  26416279  26418445  \\\n",
       "num_day                                                                   \n",
       "0                 3.0       2.0       NaN       NaN       NaN       NaN   \n",
       "1                 2.0       NaN       NaN       NaN       NaN       2.0   \n",
       "2                 NaN       NaN       2.0       NaN       3.0       NaN   \n",
       "3                 2.0       NaN       4.0       NaN       1.0       3.0   \n",
       "4                 1.0       NaN       2.0       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  26419099  26422855  26431393  26447342  26447881  26448357  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       NaN       1.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       1.0       1.0   \n",
       "\n",
       "customer_id  26459187  26467726  26470034  26474729  26485301  26495360  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       4.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  26497278  26503902  26511631  26516339  26519326  26524473  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       1.0       NaN       NaN       NaN       NaN   \n",
       "1                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 1.0       3.0       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 2.0       2.0       NaN       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  26525546  26527914  26529456  26529792  26530363  26535260  \\\n",
       "num_day                                                                   \n",
       "0                 3.0       4.0       NaN       1.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       1.0       1.0       NaN   \n",
       "4                 1.0       NaN       NaN       NaN       6.0       NaN   \n",
       "\n",
       "customer_id  26555486  26557373  26577074  26577616  26585049  26589647  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 2.0       NaN       NaN       NaN       1.0       NaN   \n",
       "3                 5.0       1.0       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       3.0       NaN   \n",
       "\n",
       "customer_id  26594227  26604313  26605300  26614582  26618467  26620887  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       3.0       NaN       NaN       1.0       NaN   \n",
       "1                 NaN       6.0       7.0       NaN       NaN       NaN   \n",
       "2                 NaN      11.0       1.0       NaN       NaN       NaN   \n",
       "3                 NaN       5.0       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       9.0       1.0       NaN       NaN       2.0   \n",
       "\n",
       "customer_id  26622748  26624856  26625334  26647236  26648481  26653245  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       1.0       1.0   \n",
       "1                 NaN       1.0       NaN       NaN       2.0       NaN   \n",
       "2                 NaN       NaN       1.0       NaN       5.0       NaN   \n",
       "3                 NaN       1.0       NaN       NaN       1.0       NaN   \n",
       "4                 NaN       NaN       2.0       NaN       2.0       NaN   \n",
       "\n",
       "customer_id  26675316  26675767  26678456  26679860  26681643  26687666  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       1.0       NaN       2.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 1.0       NaN       NaN       NaN       NaN       1.0   \n",
       "3                 2.0       NaN       NaN       NaN       NaN       1.0   \n",
       "4                 2.0       1.0       NaN       NaN       NaN       6.0   \n",
       "\n",
       "customer_id  26689827  26690755  26692453  26698770  26709486  26746693  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       1.0       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       1.0       1.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       2.0       2.0       NaN       1.0       NaN   \n",
       "4                 3.0       2.0       1.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  26758611  26759878  26777510  26782922  26784622  26799830  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 1.0       NaN       NaN       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  26803238  26807411  26838412  26847016  26847647  26852291  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       NaN       2.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       1.0       1.0   \n",
       "2                 NaN       NaN       NaN       NaN       5.0       2.0   \n",
       "3                 5.0       1.0       NaN       NaN       1.0       2.0   \n",
       "4                 1.0       NaN       NaN       NaN       2.0       NaN   \n",
       "\n",
       "customer_id  26863470  26865893  26870441  26899287  26909439  26916936  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       2.0       1.0       NaN       NaN       3.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       3.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       5.0   \n",
       "3                 NaN       1.0       1.0       NaN       NaN       1.0   \n",
       "4                 1.0       NaN       1.0       4.0       NaN       1.0   \n",
       "\n",
       "customer_id  26930576  26937271  26939527  26952117  26965510  26971094  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "1                 4.0       NaN       NaN       4.0       NaN       1.0   \n",
       "2                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "3                 7.0       NaN       NaN       9.0       1.0       1.0   \n",
       "4                 3.0       NaN       1.0       5.0       NaN       4.0   \n",
       "\n",
       "customer_id  26972587  26979327  26983288  26996112  27005693  27005758  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       4.0       NaN       4.0       NaN       1.0   \n",
       "1                 NaN       2.0       NaN       NaN       NaN      12.0   \n",
       "2                 NaN       2.0       NaN       1.0       NaN       3.0   \n",
       "3                 NaN       NaN       NaN       5.0       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  27006853  27015107  27015485  27015970  27021493  27024566  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 1.0       1.0       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  27034273  27039326  27046864  27048150  27058219  27062076  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "1                 NaN       NaN       3.0       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  27066085  27067408  27071478  27075845  27080654  27082563  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       3.0       1.0       NaN       1.0   \n",
       "2                 NaN       NaN       1.0       4.0       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       1.0       NaN       1.0   \n",
       "4                 NaN       NaN       1.0       2.0       NaN       1.0   \n",
       "\n",
       "customer_id  27082609  27086597  27087373  27116193  27133006  27145285  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       NaN       NaN       4.0       2.0   \n",
       "1                 1.0       NaN       NaN       NaN       1.0       9.0   \n",
       "2                 NaN       1.0       NaN       NaN       3.0       8.0   \n",
       "3                 NaN       NaN       NaN       NaN       5.0       9.0   \n",
       "4                 NaN       1.0       1.0       1.0       7.0       2.0   \n",
       "\n",
       "customer_id  27147002  27149366  27151776  27160518  27166161  27170316  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       3.0       NaN       3.0   \n",
       "1                 NaN       NaN       NaN       1.0       NaN       2.0   \n",
       "2                 NaN       2.0       NaN       1.0       NaN       4.0   \n",
       "3                 NaN       2.0       NaN       1.0       NaN       1.0   \n",
       "4                 NaN       3.0       NaN       4.0       1.0       1.0   \n",
       "\n",
       "customer_id  27172384  27173892  27177913  27210701  27213328  27222211  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       2.0       1.0       2.0       7.0       1.0   \n",
       "1                 1.0       NaN       2.0       NaN       3.0       1.0   \n",
       "2                 1.0       NaN       2.0       NaN       5.0       2.0   \n",
       "3                 NaN       NaN       NaN       NaN       8.0       1.0   \n",
       "4                 2.0       1.0       3.0       NaN       5.0       3.0   \n",
       "\n",
       "customer_id  27233366  27237946  27241373  27246411  27248700  27252617  \\\n",
       "num_day                                                                   \n",
       "0                 4.0       1.0       NaN       2.0       NaN       NaN   \n",
       "1                 1.0       1.0       NaN       2.0       NaN       NaN   \n",
       "2                 NaN       1.0       NaN       NaN       NaN       1.0   \n",
       "3                 1.0       1.0       NaN       3.0       NaN       1.0   \n",
       "4                 2.0       NaN       NaN       2.0       1.0       NaN   \n",
       "\n",
       "customer_id  27255147  27258116  27264666  27270006  27282344  27284097  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "1                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "3                 NaN       NaN       2.0       1.0       NaN       NaN   \n",
       "4                 NaN       NaN       3.0       3.0       1.0       NaN   \n",
       "\n",
       "customer_id  27290681  27295018  27296197  27305636  27312913  27315506  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       1.0       NaN       1.0   \n",
       "1                 NaN       2.0       NaN       1.0       NaN       NaN   \n",
       "2                 NaN       3.0       NaN       1.0       NaN       NaN   \n",
       "3                 NaN       1.0       NaN       1.0       NaN       1.0   \n",
       "4                 NaN       NaN       NaN       3.0       NaN       3.0   \n",
       "\n",
       "customer_id  27322560  27328236  27338380  27339246  27360511  27388228  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       5.0       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "3                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "4                 1.0       1.0       5.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  27390371  27391443  27391749  27395531  27398217  27403912  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       2.0       1.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 1.0       NaN       NaN       NaN       2.0       NaN   \n",
       "3                 1.0       NaN       1.0       2.0       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  27427136  27428580  27445666  27445778  27446461  27455685  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       5.0       NaN       NaN       4.0   \n",
       "1                 NaN       NaN       2.0       1.0       NaN       NaN   \n",
       "2                 1.0       NaN       8.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       4.0       NaN       NaN       NaN   \n",
       "4                 NaN       NaN      10.0       NaN       4.0       3.0   \n",
       "\n",
       "customer_id  27466074  27475547  27475907  27495141  27501511  27502998  \\\n",
       "num_day                                                                   \n",
       "0                 3.0       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 2.0       NaN       NaN       NaN       NaN       1.0   \n",
       "2                 1.0       1.0       NaN       1.0       NaN       1.0   \n",
       "3                 3.0       NaN       1.0       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       4.0       NaN       NaN   \n",
       "\n",
       "customer_id  27503129  27527765  27542007  27548281  27558571  27573266  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 1.0       NaN       NaN       NaN       1.0       1.0   \n",
       "\n",
       "customer_id  27578149  27580513  27583358  27583567  27587727  27589190  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       2.0       NaN       1.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       4.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  27591424  27591938  27592910  27616717  27621094  27636980  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "1                 1.0       NaN       NaN       NaN       NaN       2.0   \n",
       "2                 NaN       2.0       NaN       NaN       NaN       1.0   \n",
       "3                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  27648833  27651375  27651645  27656366  27673939  27678812  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       4.0       NaN       NaN       NaN   \n",
       "1                 NaN       2.0       3.0       1.0       NaN       NaN   \n",
       "2                 NaN       4.0       NaN       1.0       NaN       NaN   \n",
       "3                 NaN       3.0       2.0       NaN       1.0       NaN   \n",
       "4                 NaN       1.0       1.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  27686598  27698582  27708166  27708461  27713834  27716148  \\\n",
       "num_day                                                                   \n",
       "0                 4.0       1.0       NaN       1.0       2.0       NaN   \n",
       "1                 NaN       1.0       NaN       NaN       NaN       3.0   \n",
       "2                 NaN       NaN       NaN       2.0       3.0       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       4.0       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       4.0       NaN   \n",
       "\n",
       "customer_id  27718329  27730336  27747387  27757443  27773183  27786863  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       2.0       NaN       4.0       1.0       2.0   \n",
       "1                 NaN       1.0       NaN       1.0       NaN       3.0   \n",
       "2                 NaN       NaN       NaN       2.0       NaN       4.0   \n",
       "3                 NaN       3.0       NaN       1.0       NaN       4.0   \n",
       "4                 NaN       NaN       NaN       3.0       NaN       3.0   \n",
       "\n",
       "customer_id  27811928  27813466  27821848  27825516  27841890  27868636  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       2.0       NaN       NaN       NaN       2.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "3                 1.0       1.0       NaN       NaN       3.0       4.0   \n",
       "4                 1.0       2.0       NaN       NaN       1.0       6.0   \n",
       "\n",
       "customer_id  27879640  27883649  27887815  27890966  27903607  27911465  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       6.0       8.0       NaN       NaN       2.0   \n",
       "1                 NaN       NaN       5.0       1.0       NaN       2.0   \n",
       "2                 NaN       1.0       4.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       5.0       NaN       NaN       NaN   \n",
       "4                 2.0       NaN       3.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  27913607  27923912  27923962  27930607  27931627  27932623  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       2.0       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       1.0       1.0       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "3                 NaN       2.0       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  27939088  27957212  27958506  27959814  27966663  27969702  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       1.0       NaN       NaN       2.0   \n",
       "1                 NaN       3.0       3.0       NaN       NaN       NaN   \n",
       "2                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       3.0       NaN       NaN       NaN   \n",
       "4                 NaN       3.0       1.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  27976780  27979294  27979606  27982146  27990736  27995307  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "3                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  28004716  28006767  28008761  28014294  28035686  28037756  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       2.0       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       2.0       NaN       1.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 1.0       4.0       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       4.0       NaN       NaN       2.0       NaN   \n",
       "\n",
       "customer_id  28051379  28051826  28053875  28057724  28064405  28069036  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       3.0       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       4.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "3                 3.0       NaN       NaN       NaN       1.0       NaN   \n",
       "4                 2.0       NaN       NaN       NaN       2.0       NaN   \n",
       "\n",
       "customer_id  28074722  28081323  28093553  28096679  28099819  28103058  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       1.0       1.0       NaN   \n",
       "1                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "3                 NaN       2.0       NaN       NaN       4.0       1.0   \n",
       "4                 NaN       NaN       NaN       1.0       NaN       2.0   \n",
       "\n",
       "customer_id  28104824  28112647  28118312  28137542  28148350  28155269  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       3.0       NaN   \n",
       "1                 NaN       NaN       2.0       1.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  28168112  28170344  28177141  28177755  28177840  28184149  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       1.0       2.0   \n",
       "1                 1.0       NaN       NaN       2.0       2.0       NaN   \n",
       "2                 1.0       NaN       NaN       1.0       NaN       2.0   \n",
       "3                 NaN       NaN       NaN       4.0       1.0       1.0   \n",
       "4                 2.0       NaN       NaN       3.0       NaN       2.0   \n",
       "\n",
       "customer_id  28205332  28205335  28209124  28212229  28244152  28257491  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "1                 1.0       NaN       NaN       NaN       3.0       NaN   \n",
       "2                 3.0       NaN       NaN       NaN       NaN       1.0   \n",
       "3                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "\n",
       "customer_id  28259242  28270562  28274036  28277955  28280037  28285774  \\\n",
       "num_day                                                                   \n",
       "0                 4.0       NaN       1.0       NaN       NaN       NaN   \n",
       "1                 1.0       NaN       NaN       NaN       NaN       1.0   \n",
       "2                 8.0       2.0       NaN       NaN       NaN       NaN   \n",
       "3                 4.0       2.0       NaN       NaN       NaN       NaN   \n",
       "4                 1.0       3.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  28286397  28289457  28290770  28298874  28300035  28313403  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       2.0       NaN       NaN       2.0       NaN   \n",
       "1                 1.0       2.0       NaN       NaN       2.0       NaN   \n",
       "2                 NaN       1.0       NaN       NaN       3.0       NaN   \n",
       "3                 1.0       4.0       NaN       NaN       2.0       NaN   \n",
       "4                 4.0       1.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  28316399  28320690  28328519  28336212  28336912  28339867  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       3.0       NaN       1.0   \n",
       "1                10.0       NaN       NaN       NaN       1.0       1.0   \n",
       "2                 NaN       1.0       NaN       1.0       1.0       NaN   \n",
       "3                 1.0       1.0       NaN       2.0       NaN       2.0   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "\n",
       "customer_id  28350897  28369355  28373881  28375379  28380738  28386083  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       6.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       3.0       1.0       NaN   \n",
       "2                 6.0       NaN       NaN       3.0       NaN       NaN   \n",
       "3                 4.0       NaN       NaN       2.0       NaN       NaN   \n",
       "4                 2.0       1.0       NaN       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  28394536  28396233  28400001  28403177  28411811  28415664  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       4.0       NaN       2.0       NaN   \n",
       "1                 NaN       NaN       4.0       NaN       1.0       1.0   \n",
       "2                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "3                 NaN       NaN       6.0       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  28423951  28426327  28431923  28434818  28444589  28454653  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       1.0       NaN       1.0       NaN       3.0   \n",
       "1                 NaN       NaN       NaN       NaN       1.0       1.0   \n",
       "2                 1.0       NaN       1.0       3.0       NaN       2.0   \n",
       "3                 1.0       NaN       NaN       2.0       NaN       1.0   \n",
       "4                 1.0       NaN       NaN       2.0       1.0       NaN   \n",
       "\n",
       "customer_id  28457115  28463720  28464655  28481202  28495076  28513779  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       2.0       NaN       NaN       NaN       1.0   \n",
       "1                 NaN       3.0       NaN       NaN       3.0       1.0   \n",
       "2                 NaN       3.0       NaN       NaN       NaN       4.0   \n",
       "3                 NaN       6.0       NaN       NaN       2.0       NaN   \n",
       "4                 NaN       NaN       2.0       NaN       NaN       4.0   \n",
       "\n",
       "customer_id  28519778  28537004  28538040  28547966  28548186  28550386  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       1.0       1.0       NaN   \n",
       "1                 NaN       2.0       NaN       NaN       2.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       4.0   \n",
       "3                 1.0       NaN       NaN       NaN       1.0       2.0   \n",
       "4                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  28551353  28557894  28558979  28564485  28564573  28565033  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       3.0       NaN       NaN       2.0   \n",
       "1                 NaN       NaN       2.0       NaN       4.0       4.0   \n",
       "2                 NaN       NaN       1.0       NaN       NaN       3.0   \n",
       "3                 NaN       NaN       1.0       NaN       2.0       1.0   \n",
       "4                 NaN       NaN       2.0       NaN       2.0       NaN   \n",
       "\n",
       "customer_id  28565998  28566958  28569111  28583055  28606276  28608046  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       NaN       NaN       3.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       1.0       NaN       3.0   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       5.0   \n",
       "\n",
       "customer_id  28626810  28628523  28641319  28651612  28653494  28654147  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  28655555  28657498  28658403  28658492  28665838  28676160  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       2.0       NaN       NaN       NaN   \n",
       "1                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       1.0       1.0       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  28681720  28693893  28695784  28721598  28723660  28725127  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       NaN       NaN       NaN       1.0   \n",
       "1                 4.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 2.0       NaN       NaN       NaN       3.0       NaN   \n",
       "4                11.0       2.0       NaN       NaN       2.0       NaN   \n",
       "\n",
       "customer_id  28739329  28745131  28759413  28759598  28763320  28776112  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       4.0       1.0       5.0   \n",
       "1                 NaN       NaN       NaN       1.0       3.0       8.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       4.0   \n",
       "3                 NaN       NaN       NaN       2.0       3.0      11.0   \n",
       "4                 NaN       NaN       NaN       4.0       3.0       3.0   \n",
       "\n",
       "customer_id  28781763  28783783  28786138  28793526  28812820  28818415  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       2.0       NaN       2.0       NaN       NaN   \n",
       "1                 NaN       3.0       NaN       2.0       NaN       1.0   \n",
       "2                 NaN       3.0       NaN      11.0       NaN       2.0   \n",
       "3                 NaN       1.0       NaN       NaN       NaN       2.0   \n",
       "4                 NaN       5.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  28821289  28824618  28826381  28826674  28828236  28839991  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       NaN       NaN       NaN       4.0   \n",
       "1                 4.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 3.0       NaN       NaN       NaN       NaN       5.0   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       3.0   \n",
       "4                 1.0       NaN       NaN       NaN       1.0       1.0   \n",
       "\n",
       "customer_id  28843862  28853181  28868771  28870141  28878220  28881211  \\\n",
       "num_day                                                                   \n",
       "0                 7.0       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 6.0       NaN       6.0       NaN       NaN       NaN   \n",
       "4                 1.0       NaN       9.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  28889897  28893182  28894117  28900337  28902452  28904587  \\\n",
       "num_day                                                                   \n",
       "0                 3.0       3.0       3.0       NaN       2.0       NaN   \n",
       "1                 5.0       3.0       NaN       NaN       1.0       NaN   \n",
       "2                 NaN       4.0       2.0       NaN       NaN       NaN   \n",
       "3                 3.0       2.0       NaN       NaN       NaN       NaN   \n",
       "4                 4.0       4.0       1.0       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  28910441  28916471  28921296  28933074  28934622  28954627  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       NaN       NaN       2.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "2                 1.0       NaN       NaN       NaN       NaN       1.0   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  28976550  28982398  28993835  28995112  29001858  29010981  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       1.0       1.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "2                 NaN       1.0       NaN       1.0       NaN       NaN   \n",
       "3                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       2.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  29011261  29032857  29041434  29046784  29053196  29063772  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       5.0       2.0   \n",
       "1                 NaN       1.0       NaN       NaN       3.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       2.0       3.0   \n",
       "\n",
       "customer_id  29076626  29087330  29095564  29097966  29099060  29102670  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       2.0       NaN       1.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       2.0       NaN       2.0       NaN       5.0   \n",
       "3                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       3.0       NaN       4.0   \n",
       "\n",
       "customer_id  29112408  29117858  29122508  29127439  29129514  29132189  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       3.0       NaN       3.0       NaN   \n",
       "1                 NaN       NaN       1.0       NaN       NaN       3.0   \n",
       "2                 NaN       1.0       1.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       2.0       NaN       6.0       NaN   \n",
       "4                 NaN       NaN       1.0       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  29153041  29164757  29167135  29175248  29183544  29184203  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       3.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  29184546  29186944  29187893  29190649  29202812  29206794  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       1.0       1.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 1.0       NaN       1.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  29208509  29223112  29242919  29267573  29268428  29268985  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       5.0       3.0       1.0       2.0   \n",
       "1                 NaN       NaN       4.0       2.0       1.0       1.0   \n",
       "2                 NaN       NaN       5.0       3.0       NaN       1.0   \n",
       "3                 2.0       NaN       2.0       1.0       NaN       NaN   \n",
       "4                 2.0       NaN       4.0       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  29279448  29281146  29293837  29298771  29308982  29309139  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "4                 1.0       NaN       NaN       2.0       NaN       NaN   \n",
       "\n",
       "customer_id  29319224  29326500  29328681  29333322  29334516  29339434  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       2.0       NaN       4.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "2                 NaN       2.0       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "4                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  29346017  29346927  29353035  29354976  29364402  29380413  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       1.0       NaN       2.0   \n",
       "1                 NaN       NaN       1.0       1.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  29385630  29387755  29389212  29398575  29403638  29412988  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       2.0       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       1.0       1.0       NaN   \n",
       "4                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  29435365  29439901  29442850  29451506  29453966  29458021  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       1.0       NaN       4.0      14.0       NaN   \n",
       "1                 3.0       NaN       NaN       2.0       4.0       NaN   \n",
       "2                 3.0       NaN       NaN       1.0       NaN       NaN   \n",
       "3                 2.0       2.0       NaN       4.0       2.0       NaN   \n",
       "4                 NaN       1.0       NaN       2.0       NaN       NaN   \n",
       "\n",
       "customer_id  29473888  29476508  29481052  29482649  29493830  29495596  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       2.0       NaN       NaN       7.0   \n",
       "1                 NaN       1.0       NaN       NaN       NaN       1.0   \n",
       "2                 NaN       1.0       2.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       4.0       4.0   \n",
       "4                 NaN       NaN       3.0       NaN       2.0       3.0   \n",
       "\n",
       "customer_id  29498387  29505771  29511155  29513554  29536165  29542906  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       NaN       NaN       NaN       1.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 2.0       3.0       1.0       NaN       NaN       2.0   \n",
       "3                 3.0       3.0       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  29551787  29560954  29576425  29587179  29590075  29593738  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       3.0       NaN       1.0       2.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "3                 NaN       2.0       NaN       1.0       2.0       1.0   \n",
       "4                 NaN       1.0       NaN       NaN       4.0       2.0   \n",
       "\n",
       "customer_id  29601353  29607953  29619922  29621741  29625170  29631690  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       1.0       NaN       1.0   \n",
       "1                 NaN       NaN       1.0       2.0       NaN       6.0   \n",
       "2                 NaN       NaN       NaN       2.0       NaN       1.0   \n",
       "3                 NaN       NaN       NaN       3.0       NaN       1.0   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  29634031  29640440  29643080  29656101  29663240  29666324  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       2.0       1.0       NaN       5.0   \n",
       "1                 NaN       NaN       NaN       1.0       NaN       2.0   \n",
       "2                 NaN       NaN       6.0       NaN       NaN       1.0   \n",
       "3                 1.0       1.0       NaN       NaN       NaN       1.0   \n",
       "4                 1.0       1.0       4.0       2.0       4.0       6.0   \n",
       "\n",
       "customer_id  29672592  29674480  29678690  29680291  29686205  29686952  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       3.0       NaN       NaN       3.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       4.0   \n",
       "3                 NaN       NaN       NaN       4.0       4.0       3.0   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  29697477  29699632  29707168  29709918  29712583  29718234  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       3.0       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "3                 NaN       2.0       4.0       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       3.0       NaN       NaN       2.0   \n",
       "\n",
       "customer_id  29718406  29730519  29735778  29739892  29741450  29765684  \\\n",
       "num_day                                                                   \n",
       "0                 3.0       NaN       NaN       2.0       1.0       NaN   \n",
       "1                 5.0       NaN       3.0       3.0       1.0       NaN   \n",
       "2                 1.0       NaN       NaN       4.0       NaN       1.0   \n",
       "3                 NaN       1.0       NaN       NaN       3.0       NaN   \n",
       "4                 4.0       NaN       NaN       NaN       9.0       NaN   \n",
       "\n",
       "customer_id  29766846  29768535  29786897  29788602  29791372  29793264  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "3                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  29801711  29807848  29812081  29815159  29833434  29840382  \\\n",
       "num_day                                                                   \n",
       "0                 4.0       1.0       3.0       1.0       3.0       2.0   \n",
       "1                 1.0       NaN       NaN       NaN       3.0       1.0   \n",
       "2                 NaN       NaN       NaN       1.0       NaN       2.0   \n",
       "3                 NaN       NaN       1.0       1.0       2.0       1.0   \n",
       "4                 NaN       NaN       3.0       1.0       3.0       1.0   \n",
       "\n",
       "customer_id  29843082  29843442  29848943  29854323  29854751  29861821  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       1.0       NaN       NaN       NaN   \n",
       "1                 NaN       2.0       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       1.0       2.0       NaN       NaN       2.0   \n",
       "4                 NaN       1.0       NaN       NaN       NaN       2.0   \n",
       "\n",
       "customer_id  29862509  29865481  29874386  29886547  29886887  29889678  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       1.0       NaN       1.0   \n",
       "3                 3.0       NaN       NaN       NaN       2.0       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  29894123  29895357  29895956  29898390  29913705  29914763  \\\n",
       "num_day                                                                   \n",
       "0                11.0       1.0       NaN       NaN       1.0       NaN   \n",
       "1                 1.0       NaN       NaN       NaN       2.0       NaN   \n",
       "2                 1.0       NaN       NaN       NaN       2.0       NaN   \n",
       "3                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       4.0       1.0       2.0       NaN   \n",
       "\n",
       "customer_id  29916755  29918219  29939230  29940715  29945082  29967960  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       NaN       2.0       2.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "2                 1.0       NaN       NaN       NaN       NaN       4.0   \n",
       "3                 1.0       NaN       NaN       NaN       NaN       2.0   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       4.0   \n",
       "\n",
       "customer_id  29973417  29979034  29980579  29982886  29983674  30001841  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       2.0       3.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       1.0       NaN       1.0       1.0       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       1.0       1.0   \n",
       "4                 NaN       NaN       NaN       4.0       1.0       NaN   \n",
       "\n",
       "customer_id  30006817  30017172  30019753  30019933  30042746  30045054  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       2.0       1.0       3.0       NaN   \n",
       "1                 NaN       NaN       NaN       3.0       1.0       3.0   \n",
       "2                 NaN       NaN       1.0       NaN       NaN       1.0   \n",
       "3                 NaN       2.0       1.0       2.0       NaN       2.0   \n",
       "4                 NaN       NaN       NaN       3.0       4.0       NaN   \n",
       "\n",
       "customer_id  30059991  30060971  30066387  30078206  30079889  30085165  \\\n",
       "num_day                                                                   \n",
       "0                 3.0       NaN       4.0       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       4.0       2.0       NaN       NaN   \n",
       "2                 NaN       NaN       3.0       NaN       NaN       NaN   \n",
       "3                 1.0       NaN       2.0       1.0       NaN       NaN   \n",
       "4                 NaN       1.0       2.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  30088909  30099451  30107575  30111028  30118153  30118259  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 2.0       NaN       1.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "4                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  30120513  30120877  30125207  30134181  30134702  30141443  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       3.0       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       1.0       NaN       NaN       1.0   \n",
       "3                 1.0       NaN       1.0       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  30148004  30150009  30151817  30165349  30168354  30172244  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       3.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       6.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       2.0       1.0       3.0       NaN       NaN   \n",
       "4                 NaN       2.0       NaN       3.0       NaN       NaN   \n",
       "\n",
       "customer_id  30177386  30180671  30190284  30195213  30217532  30219206  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       1.0       1.0       NaN   \n",
       "1                 NaN       2.0       NaN       NaN       2.0       NaN   \n",
       "2                 NaN       NaN       NaN       2.0       2.0       NaN   \n",
       "3                 NaN       1.0       NaN       2.0       2.0       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  30237195  30258254  30263305  30264358  30274942  30275100  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       2.0       NaN       1.0       1.0       NaN   \n",
       "1                 NaN       NaN       NaN       2.0       1.0       NaN   \n",
       "2                 NaN       1.0       NaN       1.0       NaN       NaN   \n",
       "3                 NaN       2.0       NaN       2.0       NaN       NaN   \n",
       "4                 NaN       2.0       NaN       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  30283845  30285081  30309015  30330726  30333151  30334335  \\\n",
       "num_day                                                                   \n",
       "0                 NaN      29.0       NaN       1.0       NaN       3.0   \n",
       "1                 NaN       9.0       NaN       1.0       NaN       1.0   \n",
       "2                 NaN      13.0       NaN       NaN       NaN       1.0   \n",
       "3                 NaN      46.0       NaN       NaN       NaN       1.0   \n",
       "4                 NaN     129.0       NaN       NaN       NaN       5.0   \n",
       "\n",
       "customer_id  30337632  30339031  30341243  30356216  30359516  30385681  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 1.0       NaN       NaN       NaN       1.0       NaN   \n",
       "4                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  30386561  30388707  30393055  30393563  30396628  30421634  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       2.0       NaN       1.0       4.0       2.0   \n",
       "1                 1.0       3.0       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       1.0       NaN       NaN       1.0       NaN   \n",
       "4                 1.0       NaN       NaN       2.0       NaN       1.0   \n",
       "\n",
       "customer_id  30428096  30430588  30439633  30456579  30457443  30461006  \\\n",
       "num_day                                                                   \n",
       "0                 3.0       1.0       2.0       6.0       1.0       NaN   \n",
       "1                 4.0       1.0       NaN       2.0       NaN       NaN   \n",
       "2                 1.0       1.0       NaN      15.0       1.0       NaN   \n",
       "3                 2.0       NaN       NaN       3.0       1.0       NaN   \n",
       "4                 NaN       2.0       NaN       1.0       1.0       NaN   \n",
       "\n",
       "customer_id  30473321  30490199  30506468  30509442  30515388  30518246  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       2.0       NaN       6.0       3.0       1.0   \n",
       "1                 NaN       NaN       NaN       1.0       1.0       NaN   \n",
       "2                 NaN       NaN       NaN       6.0       6.0       NaN   \n",
       "3                 NaN       NaN       4.0       6.0       1.0       NaN   \n",
       "4                 NaN       NaN       NaN       1.0       2.0       NaN   \n",
       "\n",
       "customer_id  30523272  30528720  30531223  30545522  30552032  30552137  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       1.0       NaN       3.0   \n",
       "1                 NaN       NaN       NaN       3.0       NaN       2.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "3                 2.0       NaN       NaN       2.0       NaN       NaN   \n",
       "4                 NaN       NaN       2.0       2.0       NaN       NaN   \n",
       "\n",
       "customer_id  30552147  30560785  30564909  30583637  30605495  30627668  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       1.0       NaN       3.0   \n",
       "1                 2.0       NaN       NaN       1.0       NaN       2.0   \n",
       "2                 3.0       NaN       NaN       2.0       NaN       2.0   \n",
       "3                 NaN       NaN       NaN       2.0       NaN       8.0   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       3.0   \n",
       "\n",
       "customer_id  30629722  30639857  30644657  30654137  30666489  30697873  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       8.0       NaN       NaN       NaN       NaN   \n",
       "1                 1.0       8.0       NaN       4.0       NaN       NaN   \n",
       "2                 2.0       4.0       NaN       NaN       3.0       NaN   \n",
       "3                 2.0       NaN       NaN       NaN       1.0       NaN   \n",
       "4                 4.0       1.0       NaN       1.0       7.0       NaN   \n",
       "\n",
       "customer_id  30699304  30701406  30702646  30705292  30715299  30715845  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       2.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       4.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "4                 NaN       NaN       3.0       2.0       2.0       NaN   \n",
       "\n",
       "customer_id  30723799  30729438  30736211  30737905  30739309  30754324  \\\n",
       "num_day                                                                   \n",
       "0                 3.0       NaN       1.0       NaN       NaN       3.0   \n",
       "1                 NaN       NaN       1.0       6.0       NaN       NaN   \n",
       "2                 NaN       NaN       1.0       2.0       NaN       NaN   \n",
       "3                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  30755081  30762465  30767842  30783172  30791828  30800315  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       1.0       NaN       1.0   \n",
       "1                 NaN       2.0       NaN       1.0       4.0       2.0   \n",
       "2                 NaN       7.0       NaN       NaN       2.0       2.0   \n",
       "3                 1.0       3.0       NaN       NaN       NaN       2.0   \n",
       "4                 NaN       NaN       1.0       1.0       2.0       1.0   \n",
       "\n",
       "customer_id  30827699  30831381  30834367  30840108  30843349  30844520  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       NaN       NaN       NaN       2.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "2                 3.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  30848325  30861480  30866161  30872087  30876640  30876671  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       3.0       2.0       NaN       NaN   \n",
       "1                 2.0       NaN       1.0       3.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       2.0       NaN       1.0   \n",
       "3                 NaN       1.0       NaN       3.0       NaN       1.0   \n",
       "4                 NaN       NaN       2.0       1.0       1.0       4.0   \n",
       "\n",
       "customer_id  30886297  30912810  30915783  30921430  30921497  30929391  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       8.0       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       3.0       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       1.0       1.0       NaN       NaN       NaN   \n",
       "4                 1.0       2.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  30931047  30937173  30938302  30959921  30976504  30978132  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       4.0       3.0       NaN   \n",
       "1                 NaN       2.0       NaN       1.0       2.0       NaN   \n",
       "2                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       2.0       NaN       NaN       2.0       NaN   \n",
       "4                 NaN       4.0       NaN       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  30979258  30991940  30994379  31000653  31003635  31007942  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       2.0       NaN       NaN       NaN   \n",
       "1                 NaN       1.0       2.0       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       3.0   \n",
       "\n",
       "customer_id  31009144  31015690  31020311  31025203  31037037  31038673  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       6.0       1.0       NaN       NaN       NaN   \n",
       "1                 NaN       1.0       1.0       NaN       NaN       NaN   \n",
       "2                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 4.0       1.0       NaN       NaN       NaN       NaN   \n",
       "4                 1.0       1.0       2.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  31044034  31052070  31056945  31069536  31072699  31086720  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       NaN       NaN       3.0       3.0   \n",
       "1                 3.0       NaN       1.0       NaN       1.0       1.0   \n",
       "2                 NaN       NaN       4.0       NaN       4.0       NaN   \n",
       "3                 1.0       2.0       3.0       NaN       5.0       2.0   \n",
       "4                 3.0       NaN       NaN       6.0       4.0       3.0   \n",
       "\n",
       "customer_id  31096244  31096798  31097536  31098199  31099458  31100225  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       1.0       1.0       1.0   \n",
       "1                 NaN       NaN       8.0       NaN       1.0       NaN   \n",
       "2                 NaN       NaN       3.0       1.0       NaN       2.0   \n",
       "3                 NaN       NaN       3.0       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       2.0       NaN       1.0       1.0   \n",
       "\n",
       "customer_id  31113562  31118768  31119279  31126033  31129760  31142279  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       4.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  31144163  31151172  31154341  31155703  31156946  31167297  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       1.0       2.0       NaN   \n",
       "1                 2.0       NaN       NaN       NaN       1.0       NaN   \n",
       "2                 4.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "4                 3.0       NaN       NaN       NaN       1.0       1.0   \n",
       "\n",
       "customer_id  31177544  31179867  31183339  31190735  31195009  31198894  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  31205433  31208282  31232290  31236013  31240824  31246163  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       4.0       1.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "3                 NaN       NaN       1.0       2.0       2.0       NaN   \n",
       "4                 NaN       NaN       1.0       3.0       5.0       NaN   \n",
       "\n",
       "customer_id  31261707  31267301  31276731  31279058  31289601  31295824  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       1.0       NaN       6.0   \n",
       "1                 NaN       NaN       1.0       1.0       NaN       1.0   \n",
       "2                 NaN       NaN       NaN       3.0       NaN       NaN   \n",
       "3                 NaN       1.0       NaN       2.0       NaN       4.0   \n",
       "4                 1.0       NaN       NaN       1.0       NaN       3.0   \n",
       "\n",
       "customer_id  31301557  31303774  31306497  31311421  31317727  31319332  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       NaN       NaN       NaN       1.0   \n",
       "1                 NaN       NaN       NaN       2.0       1.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "3                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  31321804  31330652  31333924  31340253  31342965  31346129  \\\n",
       "num_day                                                                   \n",
       "0                 5.0       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 3.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "4                 5.0       1.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  31346629  31347061  31360931  31364323  31367396  31367980  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       2.0       NaN       NaN       4.0   \n",
       "1                 NaN       NaN       1.0       NaN       NaN       2.0   \n",
       "2                 NaN       NaN       1.0       1.0       NaN       5.0   \n",
       "3                 NaN       NaN       1.0       NaN       2.0       4.0   \n",
       "4                 NaN       NaN       1.0       NaN       2.0       2.0   \n",
       "\n",
       "customer_id  31370687  31371860  31376915  31394137  31401636  31401853  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "3                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       5.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  31405907  31418463  31420997  31421357  31433889  31448278  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       2.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       2.0       NaN       1.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "3                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  31453935  31457538  31466611  31479063  31489742  31490560  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       5.0       1.0       1.0       5.0       3.0   \n",
       "1                 NaN       1.0       NaN       NaN       3.0       5.0   \n",
       "2                 NaN       2.0       3.0       1.0       1.0       6.0   \n",
       "3                 NaN       1.0       NaN       NaN       2.0       9.0   \n",
       "4                 NaN       6.0       1.0       1.0       1.0       1.0   \n",
       "\n",
       "customer_id  31497342  31500378  31502987  31504602  31505410  31506833  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       1.0       NaN       NaN       2.0       1.0   \n",
       "1                 NaN       NaN       NaN       NaN       4.0       1.0   \n",
       "2                 1.0       NaN       3.0       1.0       6.0       NaN   \n",
       "3                 2.0       3.0       1.0       1.0       1.0       NaN   \n",
       "4                 NaN       1.0       NaN       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  31510849  31513070  31513807  31515556  31522441  31522603  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       4.0       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       3.0       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       3.0       1.0       NaN       NaN       NaN   \n",
       "3                 1.0       1.0       1.0       NaN       1.0       NaN   \n",
       "4                 2.0       4.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  31526683  31556072  31557648  31566800  31568333  31588161  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       1.0       1.0       2.0   \n",
       "1                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "4                 NaN       4.0       NaN       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  31593977  31606195  31610451  31611324  31613114  31613863  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       3.0       2.0       NaN       1.0       NaN   \n",
       "1                 1.0       NaN       2.0       NaN       1.0       NaN   \n",
       "2                 NaN       NaN       5.0       NaN       NaN       NaN   \n",
       "3                 3.0       1.0       4.0       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  31625291  31637135  31667421  31682096  31685969  31686248  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "2                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  31689921  31691920  31692873  31693859  31694584  31696857  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       6.0       NaN       NaN       1.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "2                 NaN       2.0       1.0       NaN       NaN       NaN   \n",
       "3                 NaN       4.0       NaN       NaN       1.0       NaN   \n",
       "4                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  31704839  31719348  31725904  31733299  31734301  31744352  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       7.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       3.0       1.0       NaN   \n",
       "3                 NaN       NaN       1.0       2.0       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "\n",
       "customer_id  31752875  31780482  31789814  31792501  31810428  31812869  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       4.0       NaN       2.0       NaN   \n",
       "1                 NaN       NaN       5.0       NaN       2.0       3.0   \n",
       "2                 NaN       NaN       1.0       2.0       3.0       NaN   \n",
       "3                 NaN       NaN       2.0       NaN       1.0       1.0   \n",
       "4                 NaN       NaN       3.0       2.0       3.0       NaN   \n",
       "\n",
       "customer_id  31822198  31828289  31835145  31850028  31865392  31866630  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       3.0       NaN       1.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  31872701  31876837  31883399  31886314  31897225  31897554  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       2.0       1.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  31898094  31904123  31914539  31916733  31919316  31926450  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "1                 NaN       1.0       NaN       NaN       NaN       2.0   \n",
       "2                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  31930464  31931874  31934035  31945620  31950329  31950858  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "3                 1.0       NaN       NaN       NaN       NaN       1.0   \n",
       "4                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  31958154  31958617  31967438  31974499  31984797  31991173  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       1.0       2.0       NaN   \n",
       "1                 NaN       NaN       NaN       3.0       3.0       NaN   \n",
       "2                 NaN       NaN       4.0       NaN       2.0       NaN   \n",
       "3                 NaN       NaN       1.0       1.0       1.0       NaN   \n",
       "4                 NaN       NaN       2.0       3.0       1.0       NaN   \n",
       "\n",
       "customer_id  32011956  32015063  32026301  32036499  32039101  32051700  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       3.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  32054308  32071141  32072106  32087727  32092292  32112130  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       2.0       NaN       NaN       NaN       2.0   \n",
       "1                 NaN       1.0       NaN       NaN       2.0       3.0   \n",
       "2                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "3                 NaN       NaN       3.0       NaN       1.0       1.0   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  32117514  32124771  32131601  32133654  32137332  32141746  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       3.0       NaN       1.0       2.0   \n",
       "1                 NaN       NaN       6.0       NaN       NaN       NaN   \n",
       "2                 NaN       1.0       3.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       5.0       NaN   \n",
       "\n",
       "customer_id  32152707  32159782  32160059  32161745  32190333  32194532  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "\n",
       "customer_id  32205266  32222099  32235956  32242229  32245044  32245326  \\\n",
       "num_day                                                                   \n",
       "0                 3.0       NaN       NaN       NaN       1.0       NaN   \n",
       "1                 4.0       3.0       NaN       NaN       5.0       2.0   \n",
       "2                 6.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 5.0       1.0       NaN       NaN       2.0       1.0   \n",
       "4                 5.0       1.0       2.0       NaN       1.0       2.0   \n",
       "\n",
       "customer_id  32250029  32250197  32276354  32285354  32298189  32301971  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       4.0       NaN       2.0       NaN   \n",
       "1                 3.0       NaN       3.0       NaN       NaN       2.0   \n",
       "2                 2.0       NaN       NaN       NaN       NaN       2.0   \n",
       "3                 1.0       NaN       1.0       NaN       1.0       4.0   \n",
       "4                 2.0       NaN       2.0       NaN       1.0       4.0   \n",
       "\n",
       "customer_id  32312405  32317349  32321307  32324963  32327379  32328212  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       2.0       3.0       NaN   \n",
       "1                 NaN       NaN       NaN       3.0       NaN       NaN   \n",
       "2                 NaN       NaN       2.0       4.0       NaN       NaN   \n",
       "3                 NaN       1.0       NaN       3.0       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       1.0       1.0       NaN   \n",
       "\n",
       "customer_id  32329847  32342676  32346573  32349097  32351128  32351629  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  32358446  32358828  32366852  32367036  32374506  32377246  \\\n",
       "num_day                                                                   \n",
       "0                10.0       NaN       NaN       NaN       1.0       NaN   \n",
       "1                 NaN       5.0       3.0       1.0       NaN       NaN   \n",
       "2                 NaN       1.0       NaN       1.0       NaN       NaN   \n",
       "3                 NaN       2.0       1.0       NaN       NaN       NaN   \n",
       "4                 NaN       1.0       NaN       1.0       1.0       NaN   \n",
       "\n",
       "customer_id  32378173  32381332  32382604  32385319  32393883  32395249  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 4.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  32395275  32395603  32404466  32404954  32420629  32428366  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       2.0       1.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  32429624  32439129  32454609  32467842  32469456  32471303  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       2.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       3.0       NaN   \n",
       "3                 NaN       1.0       1.0       1.0       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "\n",
       "customer_id  32478197  32486485  32488063  32489134  32497523  32497751  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       5.0       1.0       NaN       5.0       NaN   \n",
       "1                 2.0       2.0       NaN       NaN       NaN       NaN   \n",
       "2                 4.0       2.0       NaN       NaN       1.0       NaN   \n",
       "3                 NaN       5.0       1.0       NaN       2.0       1.0   \n",
       "4                 1.0       1.0       1.0       NaN       4.0       NaN   \n",
       "\n",
       "customer_id  32508028  32508187  32508398  32522184  32523426  32531135  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       2.0       NaN       NaN       1.0   \n",
       "1                 NaN       NaN       8.0       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       2.0       2.0       1.0       NaN   \n",
       "4                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  32541186  32544958  32550221  32555286  32564509  32569061  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "1                 NaN       2.0       NaN       NaN       1.0       NaN   \n",
       "2                 NaN       1.0       NaN       NaN       1.0       1.0   \n",
       "3                 4.0       2.0       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       2.0       NaN       2.0       NaN       2.0   \n",
       "\n",
       "customer_id  32580378  32581473  32581995  32587301  32588368  32588771  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       8.0       1.0       NaN       NaN   \n",
       "1                 NaN       5.0       1.0       1.0       NaN       NaN   \n",
       "2                 NaN       NaN       3.0       NaN       NaN       NaN   \n",
       "3                 NaN       2.0       4.0       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       1.0       2.0       NaN       NaN   \n",
       "\n",
       "customer_id  32589358  32594337  32608982  32616105  32621083  32629580  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       NaN       NaN       NaN       3.0   \n",
       "1                 2.0       NaN       NaN       NaN       NaN       1.0   \n",
       "2                 3.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 3.0       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 4.0       5.0       NaN       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  32632097  32633567  32634493  32642404  32645788  32646822  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       6.0       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       5.0       NaN       1.0       NaN   \n",
       "2                 NaN       NaN       3.0       2.0       NaN       NaN   \n",
       "3                 NaN       NaN       2.0       1.0       NaN       NaN   \n",
       "4                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  32660482  32676912  32683386  32693947  32694726  32696795  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       2.0       NaN       1.0       NaN       2.0   \n",
       "1                 NaN       2.0       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 1.0       3.0       NaN       1.0       NaN       2.0   \n",
       "\n",
       "customer_id  32704323  32706955  32707409  32713709  32718661  32721794  \\\n",
       "num_day                                                                   \n",
       "0                 3.0       NaN       NaN       2.0       NaN       3.0   \n",
       "1                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 2.0       NaN       NaN       1.0       NaN       NaN   \n",
       "3                 1.0       NaN       NaN       1.0       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  32731041  32731799  32744799  32750544  32756512  32765525  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       1.0       NaN       2.0   \n",
       "1                 NaN       NaN       1.0       NaN       NaN       2.0   \n",
       "2                 NaN       NaN       3.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       2.0       NaN       3.0   \n",
       "4                 NaN       NaN       NaN       3.0       NaN       4.0   \n",
       "\n",
       "customer_id  32776178  32780077  32782822  32805024  32805864  32810102  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       1.0       2.0       1.0   \n",
       "1                 NaN       1.0       2.0       1.0       NaN       NaN   \n",
       "2                 NaN       2.0       NaN       1.0       2.0       1.0   \n",
       "3                 1.0       NaN       6.0       NaN       NaN       2.0   \n",
       "4                 1.0       NaN       1.0       3.0       1.0       NaN   \n",
       "\n",
       "customer_id  32810617  32820811  32820894  32826090  32842179  32849017  \\\n",
       "num_day                                                                   \n",
       "0                 3.0       3.0       NaN       2.0       NaN       NaN   \n",
       "1                 1.0       5.0       3.0       NaN       NaN       NaN   \n",
       "2                 NaN       4.0       NaN       NaN       NaN       1.0   \n",
       "3                 3.0       5.0       1.0       NaN       NaN       1.0   \n",
       "4                 3.0       1.0       3.0       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  32859557  32861121  32864914  32868352  32872364  32881291  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       2.0       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       8.0       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       8.0       NaN       NaN       8.0       NaN   \n",
       "3                 3.0       1.0       NaN       NaN       4.0       NaN   \n",
       "4                 NaN       1.0       NaN       NaN       2.0       NaN   \n",
       "\n",
       "customer_id  32894421  32897584  32922999  32924337  32930555  32960729  \\\n",
       "num_day                                                                   \n",
       "0                 3.0       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 1.0       1.0       NaN       NaN       1.0       NaN   \n",
       "2                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "4                 1.0       NaN       1.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  32968215  32970687  32976089  32990408  32990734  33000362  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "1                 NaN       NaN       NaN       NaN       5.0       4.0   \n",
       "2                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       2.0       5.0       2.0   \n",
       "4                 NaN       NaN       NaN       NaN       3.0       NaN   \n",
       "\n",
       "customer_id  33005107  33006078  33008397  33014890  33016455  33026740  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       2.0       1.0       NaN       NaN       NaN   \n",
       "1                 NaN       2.0       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       4.0       NaN       NaN       1.0       1.0   \n",
       "4                 1.0       2.0       NaN       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  33030858  33031859  33036113  33040990  33050170  33072201  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       NaN       NaN       1.0   \n",
       "1                 NaN       NaN       3.0       NaN       1.0       NaN   \n",
       "2                 NaN       NaN       1.0       NaN       1.0       NaN   \n",
       "3                 1.0       NaN       3.0       4.0       NaN       NaN   \n",
       "4                 1.0       NaN       2.0       NaN       2.0       1.0   \n",
       "\n",
       "customer_id  33073311  33085214  33091659  33115683  33116523  33122190  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       1.0       NaN       1.0   \n",
       "1                 7.0       NaN       NaN       NaN       NaN       8.0   \n",
       "2                 NaN       NaN       1.0       1.0       NaN       3.0   \n",
       "3                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  33135912  33152392  33153217  33162672  33164073  33167382  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       NaN       NaN       5.0   \n",
       "1                 1.0       NaN       2.0       2.0       1.0       NaN   \n",
       "2                 2.0       NaN       1.0       2.0       1.0       3.0   \n",
       "3                 2.0       NaN       NaN       2.0       NaN       4.0   \n",
       "4                 NaN       NaN       2.0       1.0       1.0       4.0   \n",
       "\n",
       "customer_id  33175070  33176512  33182077  33195838  33199073  33226253  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       NaN       4.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  33226593  33239756  33247582  33249832  33253357  33266369  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "4                 NaN       4.0       1.0       3.0       NaN       NaN   \n",
       "\n",
       "customer_id  33273458  33306832  33333541  33342698  33343185  33344906  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       2.0       1.0       NaN       NaN       NaN   \n",
       "1                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       2.0       1.0       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       1.0       1.0   \n",
       "4                 NaN       1.0       1.0       NaN       NaN       7.0   \n",
       "\n",
       "customer_id  33357929  33363936  33376169  33378448  33383476  33385473  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       2.0       1.0       NaN       3.0   \n",
       "1                 NaN       NaN       2.0       2.0       1.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       4.0       1.0       NaN       NaN   \n",
       "4                 NaN       NaN       1.0       1.0       1.0       3.0   \n",
       "\n",
       "customer_id  33387370  33387749  33393472  33394172  33403953  33419986  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       1.0       NaN       2.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  33423516  33454252  33455666  33460128  33467462  33468665  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       2.0       NaN       1.0       NaN   \n",
       "1                 NaN       1.0       1.0       NaN       NaN       NaN   \n",
       "2                 NaN       1.0       1.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       3.0       NaN       1.0       NaN   \n",
       "4                 NaN       2.0       4.0       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  33486286  33492424  33492988  33525212  33529423  33532077  \\\n",
       "num_day                                                                   \n",
       "0                 4.0       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 4.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 2.0       NaN       NaN       NaN       NaN       1.0   \n",
       "3                 1.0       NaN       NaN       1.0       NaN       4.0   \n",
       "4                 1.0       NaN       NaN       NaN       1.0       2.0   \n",
       "\n",
       "customer_id  33533787  33535313  33536824  33554688  33556885  33559804  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       2.0       NaN       1.0       NaN       NaN   \n",
       "1                 NaN       NaN       1.0       NaN       NaN       1.0   \n",
       "2                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       1.0       1.0       NaN       NaN   \n",
       "4                 NaN       NaN       1.0       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  33560660  33576170  33587322  33600817  33605846  33636159  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "1                 NaN       1.0       4.0       NaN       NaN       2.0   \n",
       "2                 NaN       1.0       NaN       NaN       NaN       4.0   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "4                 NaN       1.0       NaN       NaN       NaN       2.0   \n",
       "\n",
       "customer_id  33644001  33648292  33666459  33687248  33697437  33697972  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       3.0       1.0       1.0   \n",
       "1                 NaN       NaN       NaN       3.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 1.0       NaN       NaN       NaN       NaN       2.0   \n",
       "4                 NaN       1.0       NaN       NaN       NaN       3.0   \n",
       "\n",
       "customer_id  33706195  33709652  33711854  33732775  33734077  33743239  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       2.0       NaN       1.0       4.0   \n",
       "1                 NaN       2.0       3.0       NaN       NaN       3.0   \n",
       "2                 NaN       NaN       NaN       1.0       1.0       5.0   \n",
       "3                 NaN       NaN       2.0       1.0       NaN       4.0   \n",
       "4                 NaN       2.0       NaN       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  33754176  33755262  33755556  33767380  33778608  33778845  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       NaN       1.0       1.0   \n",
       "1                 NaN       2.0       NaN       1.0       4.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "3                 1.0       NaN       NaN       2.0       4.0       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "\n",
       "customer_id  33790132  33797929  33799672  33802958  33804848  33824604  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       NaN       3.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "3                 NaN       1.0       2.0       NaN       NaN       NaN   \n",
       "4                 NaN       2.0       1.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  33830046  33833317  33842444  33849666  33869172  33875138  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 1.0       NaN       NaN       NaN       NaN       1.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 1.0       NaN       NaN       NaN       NaN       1.0   \n",
       "4                 1.0       NaN       NaN       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  33892530  33893695  33898329  33919847  33930512  33936617  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       6.0   \n",
       "1                 2.0       1.0       3.0       NaN       NaN       1.0   \n",
       "2                 3.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       2.0       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       1.0       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  33943155  33953111  33953527  33962160  33966960  33968207  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       2.0       1.0       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "2                 1.0       1.0       NaN       NaN       1.0       NaN   \n",
       "3                 NaN       1.0       2.0       NaN       2.0       NaN   \n",
       "4                 1.0       NaN       NaN       1.0       NaN       1.0   \n",
       "\n",
       "customer_id  33972779  33973846  33995503  34004806  34005631  34022336  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       4.0       5.0       1.0       2.0       NaN   \n",
       "1                 1.0       NaN       2.0       6.0       2.0       NaN   \n",
       "2                 NaN       NaN       2.0       1.0       1.0       NaN   \n",
       "3                 3.0       1.0       2.0       2.0       NaN       NaN   \n",
       "4                 1.0       2.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  34023430  34026271  34026442  34036744  34039951  34051333  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       3.0   \n",
       "1                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  34055503  34058602  34068814  34075015  34077523  34102387  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       2.0       3.0       1.0       4.0   \n",
       "1                 NaN       NaN       NaN       NaN       3.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "3                 1.0       1.0       4.0       NaN       NaN       3.0   \n",
       "4                 NaN       NaN       1.0       4.0       NaN       NaN   \n",
       "\n",
       "customer_id  34107918  34114030  34124149  34132376  34138544  34147053  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       3.0       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  34156704  34157582  34174139  34174960  34176319  34179937  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       NaN       NaN       2.0   \n",
       "1                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "\n",
       "customer_id  34188654  34188805  34189519  34194330  34200809  34203643  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       6.0       4.0       NaN       NaN   \n",
       "1                 NaN       2.0       5.0       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       5.0       NaN       NaN       NaN   \n",
       "3                 NaN       1.0       3.0       2.0       1.0       NaN   \n",
       "4                 NaN       2.0       4.0       2.0       1.0       NaN   \n",
       "\n",
       "customer_id  34204036  34206554  34211107  34213354  34223624  34226912  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       4.0       NaN       NaN       6.0   \n",
       "1                 1.0       NaN       2.0       NaN       NaN       6.0   \n",
       "2                 NaN       NaN       1.0       NaN       NaN       1.0   \n",
       "3                 1.0       NaN       1.0       NaN       2.0       2.0   \n",
       "4                 NaN       NaN       NaN       NaN       1.0       2.0   \n",
       "\n",
       "customer_id  34229303  34234802  34246117  34247605  34264202  34267056  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       1.0       NaN       NaN       NaN   \n",
       "1                 2.0       2.0       2.0       1.0       NaN       NaN   \n",
       "2                 1.0       2.0       NaN       2.0       NaN       NaN   \n",
       "3                 4.0       1.0       NaN       1.0       NaN       NaN   \n",
       "4                 1.0       2.0       2.0       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  34267314  34288645  34296689  34304847  34308656  34313136  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "1                 NaN       NaN       NaN       3.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "3                 1.0       NaN       NaN       2.0       NaN       2.0   \n",
       "4                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "\n",
       "customer_id  34319306  34328394  34338435  34352632  34356731  34360380  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       2.0       1.0       2.0       3.0   \n",
       "1                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       2.0       1.0       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       4.0   \n",
       "\n",
       "customer_id  34362299  34365661  34376895  34391438  34398747  34413154  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       NaN       7.0       NaN       NaN   \n",
       "1                 NaN       1.0       NaN       NaN       NaN       1.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       1.0       NaN       1.0   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  34417413  34419732  34454324  34455995  34456298  34471023  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  34489466  34490133  34504470  34518390  34518413  34525614  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       1.0       1.0   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  34529340  34529715  34555163  34580044  34580811  34584581  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       3.0       NaN       1.0       NaN   \n",
       "1                 1.0       NaN       5.0       NaN       1.0       NaN   \n",
       "2                 NaN       NaN       7.0       NaN       NaN       NaN   \n",
       "3                 1.0       3.0       2.0       NaN       NaN       NaN   \n",
       "4                 2.0       NaN       4.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  34604158  34607303  34609265  34614838  34629057  34636977  \\\n",
       "num_day                                                                   \n",
       "0                11.0       NaN       NaN       1.0       NaN       NaN   \n",
       "1                 3.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 8.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 9.0       NaN       NaN       1.0       NaN       NaN   \n",
       "4                 9.0       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  34661969  34688933  34691946  34692356  34694987  34699380  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       1.0       2.0       NaN   \n",
       "1                 1.0       NaN       NaN       2.0       1.0       NaN   \n",
       "2                 1.0       NaN       NaN       1.0       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       1.0       NaN       1.0   \n",
       "\n",
       "customer_id  34704395  34706066  34706470  34708457  34715212  34721436  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       5.0       NaN       3.0   \n",
       "1                 NaN       NaN       NaN       4.0       NaN       NaN   \n",
       "2                 NaN       NaN       1.0       3.0       NaN       NaN   \n",
       "3                 NaN       NaN       1.0       2.0       2.0       NaN   \n",
       "4                 NaN       5.0       NaN       8.0       NaN       NaN   \n",
       "\n",
       "customer_id  34746864  34747280  34747815  34756635  34757571  34759886  \\\n",
       "num_day                                                                   \n",
       "0                13.0       1.0       1.0       NaN       NaN       NaN   \n",
       "1                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 5.0       NaN       1.0       NaN       NaN       NaN   \n",
       "3                 3.0       NaN       NaN       1.0       NaN       NaN   \n",
       "4                 5.0       NaN       NaN       2.0       NaN       NaN   \n",
       "\n",
       "customer_id  34760720  34767686  34774411  34787585  34788345  34789111  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       2.0       1.0       NaN       NaN       NaN   \n",
       "1                 2.0       3.0       6.0       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       4.0       1.0       1.0       NaN   \n",
       "3                 1.0       1.0       1.0       1.0       2.0       NaN   \n",
       "4                 1.0       3.0       2.0       4.0       3.0       NaN   \n",
       "\n",
       "customer_id  34791180  34806331  34817051  34827776  34830199  34846340  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       2.0       2.0       NaN       NaN       NaN   \n",
       "1                 NaN       1.0       6.0       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       4.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       1.0       NaN       NaN       NaN       6.0   \n",
       "\n",
       "customer_id  34848455  34851657  34852168  34857695  34860287  34860405  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       1.0       NaN       1.0       NaN       NaN   \n",
       "1                 NaN       2.0       NaN       4.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "4                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  34866080  34878810  34897653  34906347  34918387  34921197  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       NaN       NaN       3.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       1.0       3.0   \n",
       "4                 3.0       NaN       1.0       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  34921849  34924644  34927541  34927861  34929323  34931235  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       1.0       NaN       1.0       NaN       NaN   \n",
       "2                 1.0       2.0       NaN       NaN       NaN       NaN   \n",
       "3                 1.0       NaN       NaN       NaN       1.0       NaN   \n",
       "4                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  34950701  34954119  34954694  34964311  34970424  34973727  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "1                 NaN       NaN       2.0       NaN       1.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       1.0       NaN       1.0       NaN   \n",
       "4                 NaN       1.0       NaN       NaN       2.0       NaN   \n",
       "\n",
       "customer_id  34977500  34983892  34987850  34988175  34989116  34992100  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       4.0       NaN       2.0       NaN   \n",
       "1                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "2                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 4.0       1.0       NaN       NaN       2.0       NaN   \n",
       "4                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  34995998  34997570  35005722  35021302  35028097  35032736  \\\n",
       "num_day                                                                   \n",
       "0                 5.0       1.0       NaN       NaN       NaN       NaN   \n",
       "1                 2.0       NaN       NaN       2.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "3                 2.0       NaN       NaN       NaN       NaN       1.0   \n",
       "4                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  35041097  35050262  35058414  35059129  35071735  35082187  \\\n",
       "num_day                                                                   \n",
       "0                 3.0       NaN       NaN       8.0      34.0       1.0   \n",
       "1                 2.0       2.0       1.0       4.0      44.0       NaN   \n",
       "2                 NaN       8.0       NaN       8.0      31.0       3.0   \n",
       "3                 1.0       5.0       NaN       1.0      44.0       NaN   \n",
       "4                 2.0       NaN       NaN       1.0      29.0       1.0   \n",
       "\n",
       "customer_id  35087876  35101936  35111431  35115054  35116878  35118501  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       2.0       1.0       NaN       NaN       NaN   \n",
       "1                 NaN       2.0       1.0       NaN       NaN       NaN   \n",
       "2                 NaN       2.0       NaN       2.0       NaN       NaN   \n",
       "3                 NaN       1.0       NaN       1.0       NaN       NaN   \n",
       "4                 NaN       1.0       2.0       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  35138403  35143337  35151009  35172258  35184261  35184532  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       4.0       NaN       2.0       NaN   \n",
       "1                 NaN       NaN       3.0       NaN       2.0       2.0   \n",
       "2                 NaN       1.0       1.0       NaN       NaN       8.0   \n",
       "3                 NaN       2.0       1.0       NaN       3.0       8.0   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       3.0   \n",
       "\n",
       "customer_id  35184980  35191315  35200352  35216221  35234377  35237670  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       1.0       1.0   \n",
       "1                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "2                 NaN       1.0       2.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       1.0       1.0   \n",
       "4                 1.0       NaN       2.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  35245068  35247086  35247422  35255941  35273632  35274106  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       2.0       1.0       NaN       NaN   \n",
       "1                 2.0       NaN       NaN       NaN       1.0       NaN   \n",
       "2                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       2.0       1.0       NaN   \n",
       "4                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  35274437  35284873  35286063  35303027  35307259  35314223  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "1                 3.0       NaN       NaN       2.0       NaN       NaN   \n",
       "2                 1.0       1.0       NaN       2.0       1.0       NaN   \n",
       "3                 NaN       3.0       NaN       2.0       NaN       NaN   \n",
       "4                 4.0      13.0       NaN       NaN       3.0       NaN   \n",
       "\n",
       "customer_id  35319172  35320267  35321395  35333330  35342525  35359347  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       NaN       NaN       3.0   \n",
       "1                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "2                 NaN       NaN       1.0       1.0       NaN       3.0   \n",
       "3                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 2.0       NaN       NaN       NaN       1.0       1.0   \n",
       "\n",
       "customer_id  35361066  35374286  35414109  35424326  35424652  35434608  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       1.0       NaN       NaN   \n",
       "1                 3.0       NaN       1.0       NaN       NaN       NaN   \n",
       "2                 2.0       NaN       NaN       1.0       NaN       NaN   \n",
       "3                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  35444959  35448726  35454596  35457095  35459529  35468564  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 3.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 1.0       1.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  35476711  35484006  35490790  35492706  35494033  35495565  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       NaN       NaN       3.0   \n",
       "1                 NaN       2.0       NaN       NaN       NaN       4.0   \n",
       "2                 NaN       3.0       NaN       NaN       NaN       2.0   \n",
       "3                 NaN       3.0       1.0       NaN       NaN       3.0   \n",
       "4                 NaN       4.0       1.0       NaN       NaN       2.0   \n",
       "\n",
       "customer_id  35497384  35498425  35499455  35511212  35513928  35516031  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       NaN       3.0       NaN       NaN   \n",
       "1                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 3.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 1.0       NaN       NaN       NaN       NaN       1.0   \n",
       "4                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  35528109  35536197  35536833  35540196  35549929  35553603  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       1.0       NaN       NaN   \n",
       "1                 1.0       4.0       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 1.0       1.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  35556833  35565236  35568001  35568840  35574385  35589068  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       2.0       1.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       3.0       NaN       NaN   \n",
       "2                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "4                 NaN       1.0       2.0       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  35593140  35605730  35617442  35624532  35633792  35638869  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "1                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "3                 NaN       3.0       2.0       NaN       1.0       NaN   \n",
       "4                 NaN       1.0       1.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  35639928  35640160  35643572  35645527  35648066  35650432  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       2.0       NaN       NaN       NaN       2.0   \n",
       "1                 2.0       1.0       NaN       NaN       NaN       2.0   \n",
       "2                 2.0       1.0       NaN       NaN       NaN       2.0   \n",
       "3                 NaN       1.0       2.0       NaN       NaN       NaN   \n",
       "4                 1.0       NaN       2.0       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  35651042  35652444  35663901  35680778  35686784  35699164  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "1                 3.0       NaN       NaN       3.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       3.0       NaN       NaN   \n",
       "3                 NaN       NaN       4.0       1.0       NaN       NaN   \n",
       "4                 1.0       1.0       3.0       6.0       NaN       NaN   \n",
       "\n",
       "customer_id  35709310  35713305  35715495  35726426  35755271  35755821  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       NaN       NaN       2.0       3.0   \n",
       "1                 NaN       NaN       2.0       NaN       3.0       1.0   \n",
       "2                 NaN       NaN       NaN       NaN       2.0       2.0   \n",
       "3                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "4                 1.0       NaN       NaN       NaN       2.0       3.0   \n",
       "\n",
       "customer_id  35757799  35759014  35759626  35759636  35760376  35765854  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       NaN       1.0       1.0       NaN   \n",
       "1                 2.0       NaN       NaN       NaN       2.0       NaN   \n",
       "2                 NaN       NaN       1.0       NaN       1.0       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       7.0       NaN   \n",
       "4                 1.0       NaN       NaN       2.0       2.0       NaN   \n",
       "\n",
       "customer_id  35768528  35771719  35785472  35796889  35799252  35802475  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       NaN       5.0       NaN       1.0   \n",
       "1                 NaN       NaN       NaN       4.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       2.0       2.0       2.0   \n",
       "3                 NaN       1.0       5.0       2.0       NaN       1.0   \n",
       "4                 NaN       NaN       1.0       1.0       NaN       1.0   \n",
       "\n",
       "customer_id  35803543  35819316  35820856  35822286  35824020  35824382  \\\n",
       "num_day                                                                   \n",
       "0                 3.0       NaN       NaN       NaN       NaN       4.0   \n",
       "1                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 2.0       NaN       NaN       NaN       NaN       3.0   \n",
       "3                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       3.0       NaN       4.0   \n",
       "\n",
       "customer_id  35825600  35845743  35849054  35858905  35866332  35868459  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       1.0       NaN       3.0       NaN   \n",
       "1                 NaN       NaN       NaN       1.0       5.0       1.0   \n",
       "2                 NaN       2.0       2.0       NaN       NaN       NaN   \n",
       "3                 1.0       4.0       3.0       NaN       3.0       NaN   \n",
       "4                 NaN       3.0       2.0       NaN       2.0       NaN   \n",
       "\n",
       "customer_id  35890369  35890375  35896357  35902375  35905243  35905456  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       NaN       NaN       2.0   \n",
       "1                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "2                 NaN       1.0       NaN       1.0       NaN       2.0   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  35909313  35914600  35915513  35916400  35920027  35923987  \\\n",
       "num_day                                                                   \n",
       "0                 3.0       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "2                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "3                 3.0       NaN       NaN       1.0       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       2.0       1.0       NaN   \n",
       "\n",
       "customer_id  35941928  35953316  35966536  35970002  35972896  35991697  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       4.0       4.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "3                 NaN       NaN       NaN       NaN       4.0       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  35994248  35995375  36005457  36008593  36018364  36023549  \\\n",
       "num_day                                                                   \n",
       "0                 4.0       NaN       2.0       NaN       NaN       NaN   \n",
       "1                 2.0       1.0       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "3                 4.0       1.0       1.0       NaN       NaN       NaN   \n",
       "4                17.0       NaN       1.0       NaN       2.0       NaN   \n",
       "\n",
       "customer_id  36024071  36028228  36031260  36035955  36036773  36056980  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       3.0       2.0       NaN       4.0   \n",
       "1                 NaN       NaN       NaN       3.0       NaN       4.0   \n",
       "2                 NaN       NaN       3.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       5.0       NaN       NaN       3.0   \n",
       "4                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  36084703  36088664  36092225  36092410  36095830  36100475  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       NaN       NaN       3.0   \n",
       "1                 NaN       NaN       1.0       1.0       NaN       1.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "3                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  36117188  36118747  36120209  36120546  36130364  36153872  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       5.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "3                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       4.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  36154830  36162951  36169723  36170142  36187587  36187758  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 3.0       NaN       NaN       NaN       NaN       2.0   \n",
       "\n",
       "customer_id  36191280  36194681  36201007  36201953  36207264  36209184  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       NaN       NaN       1.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "2                 1.0       NaN       NaN       NaN       1.0       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  36212426  36218838  36223985  36245233  36247248  36250065  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       3.0       3.0       NaN       NaN   \n",
       "1                 NaN       NaN       2.0       1.0       NaN       NaN   \n",
       "2                 NaN       NaN       4.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       3.0       1.0       NaN   \n",
       "\n",
       "customer_id  36269079  36277671  36290460  36302293  36304348  36305254  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "1                 NaN       1.0       3.0       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "4                 NaN       1.0       2.0       NaN       2.0       NaN   \n",
       "\n",
       "customer_id  36318766  36325942  36326817  36340963  36345199  36347318  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       1.0       NaN       NaN       NaN       NaN   \n",
       "1                 2.0       3.0       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       1.0       NaN       NaN       3.0   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "4                 NaN       1.0       NaN       NaN       NaN       4.0   \n",
       "\n",
       "customer_id  36382716  36389053  36389576  36409056  36422352  36425390  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       1.0       NaN       4.0       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  36441585  36444703  36456978  36458534  36459476  36460428  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       2.0       3.0       8.0       NaN       1.0   \n",
       "1                 NaN       NaN       1.0       5.0       NaN       NaN   \n",
       "2                 NaN      11.0       1.0       NaN       NaN       NaN   \n",
       "3                 NaN       2.0       3.0      11.0       1.0       NaN   \n",
       "4                 NaN       1.0       3.0       4.0       4.0       1.0   \n",
       "\n",
       "customer_id  36473105  36482800  36483672  36489134  36489564  36490114  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       NaN       NaN       2.0   \n",
       "1                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 2.0       NaN       NaN       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  36502881  36503319  36517351  36526823  36555105  36557220  \\\n",
       "num_day                                                                   \n",
       "0                 4.0       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 3.0       NaN       1.0       NaN       NaN       NaN   \n",
       "2                 5.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 5.0       1.0       NaN       NaN       NaN       NaN   \n",
       "4                 4.0       1.0       1.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  36564741  36576206  36576755  36583334  36583343  36592809  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "2                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       3.0   \n",
       "4                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  36598627  36599781  36607877  36610379  36611764  36619588  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       2.0       NaN       NaN       NaN       NaN   \n",
       "1                 1.0       3.0       3.0       NaN       NaN       NaN   \n",
       "2                 4.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 1.0       2.0       4.0       1.0       NaN       NaN   \n",
       "4                 3.0       NaN       NaN       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  36622596  36623340  36631696  36634640  36642100  36658234  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  36659899  36661620  36667035  36671455  36671915  36683330  \\\n",
       "num_day                                                                   \n",
       "0                 3.0       NaN       2.0       NaN       NaN       NaN   \n",
       "1                 3.0       NaN       1.0       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "3                 4.0       NaN       3.0       NaN       1.0       NaN   \n",
       "4                 4.0       2.0       NaN       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  36689402  36694774  36701802  36713930  36719500  36725209  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "3                 NaN       NaN       NaN       NaN       4.0       NaN   \n",
       "4                 NaN       NaN       NaN       2.0       2.0       NaN   \n",
       "\n",
       "customer_id  36733811  36734580  36734991  36737618  36740308  36759361  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       2.0       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       6.0       1.0       2.0       NaN       NaN   \n",
       "2                 6.0       NaN       1.0       NaN       NaN       NaN   \n",
       "3                 1.0       3.0       2.0       1.0       NaN       NaN   \n",
       "4                 NaN       1.0       2.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  36768582  36772124  36775363  36781400  36798944  36829859  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       3.0       3.0       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       2.0       1.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 1.0       4.0       1.0       NaN       NaN       1.0   \n",
       "4                 NaN       NaN       NaN       3.0       NaN       NaN   \n",
       "\n",
       "customer_id  36834549  36837532  36838245  36839127  36840873  36850034  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       NaN       4.0       1.0   \n",
       "1                 NaN       NaN       NaN       NaN       1.0       1.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       6.0   \n",
       "3                 NaN       NaN       2.0       NaN       NaN       5.0   \n",
       "4                 NaN       NaN       NaN       NaN       NaN      11.0   \n",
       "\n",
       "customer_id  36855090  36865104  36870445  36878451  36881891  36892830  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       2.0       1.0       NaN       3.0   \n",
       "1                 NaN       NaN       4.0       1.0       NaN       1.0   \n",
       "2                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "3                 NaN       NaN       1.0       1.0       NaN       1.0   \n",
       "4                 NaN       6.0       9.0       1.0       NaN       1.0   \n",
       "\n",
       "customer_id  36895172  36899629  36903185  36913684  36929618  36940981  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       2.0       6.0       NaN       NaN       1.0   \n",
       "1                 NaN       3.0       2.0       2.0       NaN       NaN   \n",
       "2                 NaN       3.0       1.0       1.0       NaN       3.0   \n",
       "3                 1.0       2.0       NaN       NaN       NaN       1.0   \n",
       "4                 NaN       NaN       NaN       1.0       NaN       5.0   \n",
       "\n",
       "customer_id  36945615  36951274  36953699  36953929  36961762  36964057  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       2.0       NaN       NaN       NaN       2.0   \n",
       "1                 NaN       NaN       NaN       NaN       2.0       1.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "3                 2.0       NaN       NaN       NaN       NaN       1.0   \n",
       "4                 NaN       3.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  36973559  36980858  36981135  36989656  36992402  36996359  \\\n",
       "num_day                                                                   \n",
       "0                 4.0       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "3                 5.0       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 5.0       NaN       NaN       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  36996495  37006093  37011448  37025153  37035466  37037318  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       4.0       1.0       NaN       NaN   \n",
       "1                 NaN       2.0       NaN       4.0       NaN       NaN   \n",
       "2                 1.0       2.0       1.0       1.0       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       1.0       1.0       3.0   \n",
       "\n",
       "customer_id  37039392  37050951  37088614  37096892  37098067  37104923  \\\n",
       "num_day                                                                   \n",
       "0                 3.0       NaN       1.0       1.0       NaN       2.0   \n",
       "1                 7.0       NaN       NaN       3.0       1.0       NaN   \n",
       "2                 4.0       NaN       NaN       NaN       1.0       1.0   \n",
       "3                 2.0       NaN       NaN       2.0       3.0       1.0   \n",
       "4                 4.0       NaN       NaN       4.0       3.0       1.0   \n",
       "\n",
       "customer_id  37112887  37127213  37134646  37140818  37141133  37146759  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       2.0       NaN       1.0       NaN       1.0   \n",
       "1                 NaN       NaN       NaN       NaN       2.0       1.0   \n",
       "2                 1.0       4.0       1.0       NaN       1.0       NaN   \n",
       "3                 4.0       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       3.0       NaN       5.0       2.0       NaN   \n",
       "\n",
       "customer_id  37150939  37156682  37159481  37160920  37165208  37172387  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       2.0       3.0       3.0       3.0       NaN   \n",
       "1                 NaN       NaN       1.0      11.0       3.0       2.0   \n",
       "2                 NaN       NaN       1.0       2.0       2.0       NaN   \n",
       "3                 NaN       NaN       NaN       4.0       5.0       NaN   \n",
       "4                 NaN       1.0       NaN       NaN       2.0       NaN   \n",
       "\n",
       "customer_id  37174970  37177066  37178548  37193871  37210858  37211113  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       1.0       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       1.0       2.0       NaN   \n",
       "3                 NaN       NaN       NaN       2.0       8.0       NaN   \n",
       "4                 NaN       1.0       NaN       NaN       9.0       NaN   \n",
       "\n",
       "customer_id  37211421  37245184  37257010  37259044  37264362  37266132  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       3.0       NaN       NaN       2.0   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 3.0       NaN       NaN       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  37272191  37274803  37287632  37291325  37300700  37309301  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       2.0       2.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "4                 NaN       NaN       NaN       2.0       2.0       NaN   \n",
       "\n",
       "customer_id  37327059  37338139  37350713  37353898  37356584  37362216  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       1.0       NaN       1.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       6.0       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       6.0       NaN       NaN   \n",
       "\n",
       "customer_id  37371201  37377974  37390840  37392838  37397665  37398620  \\\n",
       "num_day                                                                   \n",
       "0                 3.0       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "3                 NaN       1.0       1.0       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  37399762  37402527  37407799  37415294  37425501  37427561  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  37430257  37431906  37433974  37436581  37446344  37454994  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       5.0       1.0       4.0       NaN   \n",
       "1                 4.0       2.0       1.0       NaN       NaN       NaN   \n",
       "2                 NaN       1.0       2.0       NaN       NaN       NaN   \n",
       "3                 1.0       1.0       5.0       1.0       2.0       NaN   \n",
       "4                 NaN       NaN       6.0       1.0       2.0       NaN   \n",
       "\n",
       "customer_id  37466831  37487258  37492547  37499325  37510454  37521219  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       3.0       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "4                 5.0       NaN      11.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  37525073  37530590  37542561  37552596  37554689  37556658  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       2.0       1.0       3.0       3.0       NaN   \n",
       "1                 1.0       2.0       NaN       1.0       NaN       NaN   \n",
       "2                 NaN       NaN       4.0       NaN       NaN       NaN   \n",
       "3                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "4                 2.0       3.0       1.0       5.0       NaN       NaN   \n",
       "\n",
       "customer_id  37563035  37578780  37585644  37586404  37591390  37604175  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       1.0       2.0       NaN   \n",
       "2                 NaN       1.0       NaN       NaN       1.0       1.0   \n",
       "3                 NaN       7.0       NaN       1.0       1.0       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       4.0       1.0   \n",
       "\n",
       "customer_id  37605127  37616739  37618982  37623604  37632574  37633014  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       3.0       2.0       2.0   \n",
       "1                 NaN       NaN       NaN       1.0       2.0       NaN   \n",
       "2                 NaN       2.0       NaN       3.0       3.0       NaN   \n",
       "3                 NaN       NaN       NaN       5.0       1.0       NaN   \n",
       "4                 NaN       NaN       1.0       2.0       NaN       NaN   \n",
       "\n",
       "customer_id  37648561  37649427  37657997  37671369  37676504  37681861  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  37690416  37694414  37705292  37714083  37729700  37733305  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "1                 NaN       NaN       4.0       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       5.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  37773393  37784855  37796079  37800161  37808195  37837169  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       NaN       NaN       2.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "3                 NaN       3.0       1.0       NaN       NaN       NaN   \n",
       "4                 NaN       4.0       NaN       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  37837806  37849382  37854469  37863592  37872259  37884416  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       4.0       NaN       NaN       NaN       1.0   \n",
       "1                 NaN       2.0       NaN       NaN       1.0       NaN   \n",
       "2                 NaN       5.0       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       3.0       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       4.0       NaN       NaN       NaN       4.0   \n",
       "\n",
       "customer_id  37889298  37893259  37893432  37922169  37925972  37942288  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       NaN       3.0       NaN   \n",
       "1                 NaN       4.0       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  37945354  37949420  37954658  37964005  37998052  38016815  \\\n",
       "num_day                                                                   \n",
       "0                 4.0       NaN       2.0       NaN       1.0       NaN   \n",
       "1                 4.0       2.0       6.0       NaN       NaN       NaN   \n",
       "2                 1.0       NaN       2.0       NaN       NaN       NaN   \n",
       "3                 2.0       2.0       4.0       NaN       1.0       NaN   \n",
       "4                 6.0       3.0      10.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  38019268  38020128  38032942  38034239  38041857  38051143  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       1.0       NaN       NaN       3.0       NaN   \n",
       "1                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 3.0       2.0       1.0       NaN       NaN       NaN   \n",
       "3                 NaN       3.0       NaN       NaN       NaN       NaN   \n",
       "4                 1.0      11.0       NaN       NaN       2.0       NaN   \n",
       "\n",
       "customer_id  38051836  38054517  38056372  38064758  38073232  38077192  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       NaN       NaN       1.0   \n",
       "1                 1.0       NaN       3.0       1.0       1.0       3.0   \n",
       "2                 NaN       1.0       3.0       1.0       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       3.0   \n",
       "4                 NaN       NaN       1.0       NaN       NaN       2.0   \n",
       "\n",
       "customer_id  38108266  38120939  38127370  38129216  38134287  38138134  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       6.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       5.0       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       1.0       2.0       NaN   \n",
       "4                 NaN       NaN       NaN       4.0       NaN       NaN   \n",
       "\n",
       "customer_id  38143001  38149474  38155492  38162306  38165217  38169826  \\\n",
       "num_day                                                                   \n",
       "0                 4.0       NaN       NaN       NaN       NaN       5.0   \n",
       "1                 4.0       NaN       NaN       NaN       NaN       6.0   \n",
       "2                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       1.0       3.0   \n",
       "4                 1.0       NaN       NaN       NaN       NaN       2.0   \n",
       "\n",
       "customer_id  38175551  38178693  38180274  38189786  38191730  38195677  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       7.0       4.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       1.0       2.0       NaN   \n",
       "2                 1.0       NaN       7.0       2.0       NaN       NaN   \n",
       "3                 NaN       NaN       2.0       2.0       NaN       1.0   \n",
       "4                 2.0       NaN       5.0       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  38209893  38220721  38223980  38225348  38228045  38251376  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       3.0       3.0       1.0       4.0   \n",
       "1                 NaN       NaN       3.0       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       9.0       1.0       NaN       NaN   \n",
       "3                 NaN       NaN       1.0       1.0       NaN       NaN   \n",
       "4                 NaN       NaN       5.0       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  38253999  38268015  38286663  38289668  38291598  38311906  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  38314654  38319444  38332437  38337584  38349962  38355391  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       NaN       1.0       NaN   \n",
       "1                 NaN       3.0       NaN       NaN       NaN       1.0   \n",
       "2                 1.0       7.0       NaN       1.0       1.0       NaN   \n",
       "3                 NaN       2.0       NaN       NaN       1.0       1.0   \n",
       "4                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "\n",
       "customer_id  38371802  38384643  38392545  38397584  38436784  38451399  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "1                 NaN       NaN       NaN       1.0       1.0       1.0   \n",
       "2                 NaN       NaN       NaN       1.0       2.0       4.0   \n",
       "3                 1.0       NaN       NaN       NaN       1.0       1.0   \n",
       "4                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "\n",
       "customer_id  38462191  38467091  38475040  38490599  38496050  38499941  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       NaN       4.0       2.0   \n",
       "1                 NaN       NaN       NaN       NaN       2.0       2.0   \n",
       "2                 NaN       NaN       NaN       NaN       1.0       4.0   \n",
       "3                 NaN       NaN       NaN       NaN       2.0       2.0   \n",
       "4                 NaN       NaN       NaN       1.0       3.0       NaN   \n",
       "\n",
       "customer_id  38504895  38506334  38507678  38513795  38514044  38519546  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       8.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "2                 NaN      10.0       NaN       NaN       3.0       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       3.0       1.0   \n",
       "4                 NaN       NaN       NaN       NaN       8.0       2.0   \n",
       "\n",
       "customer_id  38536207  38548792  38557984  38559782  38561717  38583291  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       4.0       3.0       NaN       NaN   \n",
       "1                 NaN       NaN       1.0       4.0       2.0       NaN   \n",
       "2                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       1.0       1.0       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       3.0       NaN   \n",
       "\n",
       "customer_id  38584018  38584256  38591786  38591936  38596162  38598826  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       1.0       NaN      12.0   \n",
       "1                 NaN       NaN       NaN       4.0       2.0       5.0   \n",
       "2                 NaN       NaN       NaN       3.0       1.0       9.0   \n",
       "3                 NaN       NaN       NaN       4.0       3.0       1.0   \n",
       "4                 NaN       NaN       NaN       2.0       NaN       3.0   \n",
       "\n",
       "customer_id  38603818  38617012  38634695  38640666  38648002  38648262  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       1.0       NaN       NaN       2.0       1.0   \n",
       "2                 NaN       NaN       1.0       2.0       1.0       3.0   \n",
       "3                 NaN       NaN       NaN       2.0       1.0       1.0   \n",
       "4                 NaN       1.0       2.0       5.0       1.0       NaN   \n",
       "\n",
       "customer_id  38648487  38657843  38659969  38661959  38666640  38671122  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       1.0       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "2                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "3                 1.0       NaN       NaN       NaN       1.0       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       3.0       NaN   \n",
       "\n",
       "customer_id  38677204  38679759  38685392  38688842  38688843  38689095  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       6.0       NaN       NaN       2.0       NaN   \n",
       "1                 NaN       2.0       1.0       NaN       NaN       NaN   \n",
       "2                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "3                 1.0       5.0       NaN       2.0       1.0       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       3.0       NaN   \n",
       "\n",
       "customer_id  38691781  38698737  38699841  38703880  38707022  38709240  \\\n",
       "num_day                                                                   \n",
       "0                38.0       NaN       NaN       NaN       NaN       4.0   \n",
       "1                16.0       NaN       NaN       1.0       NaN       8.0   \n",
       "2                18.0       NaN       NaN       NaN       1.0       3.0   \n",
       "3                18.0       NaN       NaN       NaN       5.0       2.0   \n",
       "4                64.0       NaN       5.0       NaN       2.0       2.0   \n",
       "\n",
       "customer_id  38714155  38720236  38726219  38735257  38738876  38743206  \\\n",
       "num_day                                                                   \n",
       "0                 6.0       NaN       1.0       NaN       NaN       2.0   \n",
       "1                16.0       1.0       1.0       NaN       NaN       2.0   \n",
       "2                 6.0       4.0       5.0       NaN       NaN       2.0   \n",
       "3                11.0       1.0       4.0       3.0       NaN       8.0   \n",
       "4                 9.0       3.0       1.0       NaN       2.0       2.0   \n",
       "\n",
       "customer_id  38755942  38760997  38761511  38761946  38783952  38791997  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       3.0       NaN       NaN       2.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "2                 NaN       NaN       3.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       7.0       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "\n",
       "customer_id  38797521  38809278  38819489  38821057  38841087  38844212  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       1.0       NaN       1.0   \n",
       "1                 NaN       3.0       NaN       NaN       NaN       NaN   \n",
       "2                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       3.0       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  38850010  38873036  38874433  38877775  38880162  38886866  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       2.0       5.0       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       5.0       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 1.0       NaN       1.0       1.0       NaN       1.0   \n",
       "4                 1.0       3.0       2.0       NaN       1.0       2.0   \n",
       "\n",
       "customer_id  38890720  38891925  38894045  38896722  38902029  38906402  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       NaN       2.0       NaN   \n",
       "1                 1.0       NaN       NaN       NaN       3.0       1.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 1.0       NaN       NaN       NaN       3.0       NaN   \n",
       "4                 2.0       NaN       NaN       NaN       2.0       NaN   \n",
       "\n",
       "customer_id  38912164  38912501  38916664  38919443  38928200  38946152  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "1                 NaN       NaN       NaN       2.0       NaN       1.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       4.0   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  38949486  38950034  38951858  38961098  38964548  38966443  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       5.0       NaN       3.0       NaN       NaN   \n",
       "1                 1.0       NaN       NaN       1.0       NaN       NaN   \n",
       "2                 NaN       1.0       NaN       2.0       NaN       NaN   \n",
       "3                 NaN       2.0       NaN       NaN       NaN       NaN   \n",
       "4                 1.0       2.0       1.0       2.0       NaN       NaN   \n",
       "\n",
       "customer_id  38971633  38976924  38977682  38994119  38996102  38996744  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       NaN       9.0       3.0   \n",
       "1                 NaN       NaN       NaN       NaN       6.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       7.0       1.0   \n",
       "3                 NaN       NaN       2.0       NaN      13.0       NaN   \n",
       "4                 NaN       NaN       6.0       NaN      11.0       NaN   \n",
       "\n",
       "customer_id  39002418  39002460  39009829  39010619  39015287  39020827  \\\n",
       "num_day                                                                   \n",
       "0                 4.0       NaN       NaN       NaN       NaN       5.0   \n",
       "1                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       1.0       NaN       1.0       NaN       2.0   \n",
       "3                 1.0       1.0       NaN       1.0       NaN       1.0   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "\n",
       "customer_id  39026145  39050355  39052021  39055422  39066230  39077584  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       1.0       NaN       NaN   \n",
       "1                 3.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 1.0       NaN       NaN       1.0       NaN       NaN   \n",
       "4                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  39078187  39080514  39081921  39083383  39093269  39095291  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       NaN       1.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       1.0       NaN       NaN       1.0       NaN   \n",
       "3                 NaN       1.0       NaN       NaN       2.0       NaN   \n",
       "4                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  39097085  39117540  39120112  39122979  39128769  39133728  \\\n",
       "num_day                                                                   \n",
       "0                 8.0       NaN       6.0       6.0       NaN       NaN   \n",
       "1                 6.0       NaN       NaN       1.0       NaN       NaN   \n",
       "2                 8.0       1.0       1.0       NaN       NaN       NaN   \n",
       "3                 2.0       NaN       3.0       5.0       NaN       NaN   \n",
       "4                14.0       NaN       NaN       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  39138734  39155224  39156769  39157536  39158537  39170539  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       6.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       4.0       1.0       NaN   \n",
       "4                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  39171733  39182077  39186671  39186764  39189321  39191321  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       NaN       6.0       2.0   \n",
       "1                 1.0       NaN       NaN       NaN       1.0       2.0   \n",
       "2                 1.0       NaN       NaN       NaN       4.0       7.0   \n",
       "3                 NaN       NaN       NaN       NaN       6.0       2.0   \n",
       "4                 NaN       NaN       4.0       1.0       1.0       1.0   \n",
       "\n",
       "customer_id  39193827  39202472  39205540  39208460  39214736  39216943  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       3.0       6.0       NaN       NaN   \n",
       "1                 NaN       NaN       3.0       1.0       NaN       NaN   \n",
       "2                 NaN       NaN       3.0       4.0       1.0       NaN   \n",
       "3                 NaN       2.0       1.0       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       4.0       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  39222949  39224801  39225619  39226483  39233919  39248782  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       2.0       1.0       NaN       1.0   \n",
       "1                 3.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 3.0       NaN       NaN       1.0       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "4                 1.0       NaN       NaN       NaN       NaN       2.0   \n",
       "\n",
       "customer_id  39258858  39262084  39270809  39281445  39286513  39291271  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       1.0       NaN       NaN   \n",
       "1                 NaN       NaN       1.0       3.0       1.0       NaN   \n",
       "2                 NaN       NaN       NaN       3.0       NaN       NaN   \n",
       "3                 NaN       NaN       8.0       3.0       NaN       NaN   \n",
       "4                 NaN       NaN       3.0       2.0       2.0       NaN   \n",
       "\n",
       "customer_id  39295714  39302487  39308561  39310095  39330065  39344042  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       3.0       3.0       NaN       3.0       2.0   \n",
       "1                 3.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 3.0       NaN       NaN       NaN       1.0       4.0   \n",
       "3                 2.0       1.0       1.0       NaN       4.0       NaN   \n",
       "4                 1.0       1.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  39351532  39352266  39354399  39357161  39358235  39366199  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       8.0       NaN       NaN       NaN       NaN   \n",
       "1                 2.0       2.0       NaN       NaN       NaN       NaN   \n",
       "2                 1.0       1.0       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       2.0       2.0       NaN       NaN       1.0   \n",
       "4                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  39385780  39408065  39408508  39411409  39420644  39434625  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       2.0       NaN       1.0       NaN   \n",
       "1                 1.0       NaN       4.0       NaN       1.0       NaN   \n",
       "2                 NaN       NaN       4.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "4                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  39435977  39452396  39460612  39461665  39467745  39472448  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       1.0       1.0       NaN   \n",
       "1                 NaN       NaN       2.0       NaN       NaN       2.0   \n",
       "2                 NaN       NaN       NaN       NaN       1.0       6.0   \n",
       "3                 NaN       NaN       1.0       NaN       6.0       NaN   \n",
       "4                 NaN       NaN       3.0       1.0       2.0       2.0   \n",
       "\n",
       "customer_id  39477875  39481753  39488811  39489228  39510774  39510825  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       3.0       NaN       1.0       NaN       NaN   \n",
       "1                 3.0       1.0       NaN       1.0       NaN       NaN   \n",
       "2                 1.0       NaN       1.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 1.0       2.0       1.0       3.0       NaN       NaN   \n",
       "\n",
       "customer_id  39513209  39516922  39525371  39529801  39531056  39548937  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       7.0       NaN       NaN       2.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  39557023  39559389  39561022  39564093  39567641  39576818  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "2                 NaN       2.0       5.0       1.0       NaN       NaN   \n",
       "3                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  39577592  39582005  39584223  39590939  39617803  39618707  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       5.0       NaN       1.0       NaN   \n",
       "1                 NaN       NaN       2.0       NaN       2.0       NaN   \n",
       "2                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "3                 3.0       NaN       6.0       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       4.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  39626517  39629543  39635352  39651887  39653282  39656203  \\\n",
       "num_day                                                                   \n",
       "0                 3.0       NaN       NaN       1.0       NaN       NaN   \n",
       "1                 3.0       NaN       NaN       1.0       NaN       NaN   \n",
       "2                 2.0       NaN       NaN       1.0       NaN       1.0   \n",
       "3                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       6.0       NaN       1.0   \n",
       "\n",
       "customer_id  39668351  39688662  39697437  39697640  39703764  39718714  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  39725691  39727926  39729757  39734000  39742563  39746829  \\\n",
       "num_day                                                                   \n",
       "0                 5.0       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       1.0       1.0       NaN       NaN   \n",
       "3                 1.0       NaN       3.0       2.0       NaN       NaN   \n",
       "4                 1.0       NaN       NaN       8.0       NaN       1.0   \n",
       "\n",
       "customer_id  39759928  39760766  39761389  39762893  39772593  39777595  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  39781026  39794425  39795338  39796401  39796731  39797791  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       3.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  39809041  39813480  39816059  39819120  39830996  39839813  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       5.0       NaN       NaN       NaN   \n",
       "1                 NaN       4.0       NaN       NaN       NaN       NaN   \n",
       "2                 2.0       2.0       2.0       1.0       NaN       NaN   \n",
       "3                 NaN       3.0       2.0       6.0       1.0       NaN   \n",
       "4                 1.0       3.0       NaN       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  39843429  39848739  39855298  39860986  39863485  39863574  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       6.0       NaN       NaN       1.0   \n",
       "1                 NaN       3.0       3.0       NaN       NaN       2.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       1.0       2.0       NaN       5.0       NaN   \n",
       "\n",
       "customer_id  39865688  39867108  39868111  39873090  39879959  39887047  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       4.0       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       2.0       1.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 1.0       NaN       3.0       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  39893238  39919267  39920201  39931409  39932626  39934843  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       NaN       3.0       NaN   \n",
       "1                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       3.0       2.0       3.0       NaN   \n",
       "3                 NaN       NaN       3.0       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       7.0       NaN   \n",
       "\n",
       "customer_id  39937696  39941059  39941957  39942139  39942446  39942876  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       3.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  39944012  39950974  39954457  39955603  39975016  39975782  \\\n",
       "num_day                                                                   \n",
       "0                 3.0       7.0       NaN       NaN       NaN       1.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 1.0       6.0       NaN       1.0       1.0       NaN   \n",
       "3                 5.0       NaN       NaN       NaN       1.0       3.0   \n",
       "4                 2.0       NaN       NaN       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  39977171  40000227  40002529  40003904  40016038  40017672  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       7.0       NaN       1.0       NaN   \n",
       "1                 NaN       3.0       2.0       NaN       NaN       NaN   \n",
       "2                 NaN       2.0       3.0       NaN       2.0       NaN   \n",
       "3                 NaN       NaN       3.0       NaN       NaN       NaN   \n",
       "4                 NaN       1.0       3.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  40018375  40019446  40020227  40027989  40032313  40034321  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "2                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  40035863  40036441  40040637  40072019  40077085  40080020  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       1.0       3.0       2.0       1.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "3                 NaN       NaN       4.0       2.0       NaN       NaN   \n",
       "4                 NaN       1.0       7.0       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  40090913  40099421  40122429  40131993  40132925  40133271  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       2.0       NaN       NaN       3.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       4.0   \n",
       "4                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  40133287  40133468  40139325  40142061  40143664  40149306  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       NaN       1.0       NaN   \n",
       "1                 1.0       4.0       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       4.0       NaN       NaN       1.0       NaN   \n",
       "3                 1.0       5.0       NaN       NaN       2.0       NaN   \n",
       "4                 1.0       4.0       NaN       1.0       2.0       NaN   \n",
       "\n",
       "customer_id  40157852  40162652  40173233  40190777  40197046  40198964  \\\n",
       "num_day                                                                   \n",
       "0                 5.0       NaN       NaN       NaN       1.0       NaN   \n",
       "1                 1.0       NaN       NaN       NaN       3.0       NaN   \n",
       "2                 2.0       4.0       NaN       NaN       5.0       1.0   \n",
       "3                 1.0       NaN       NaN       NaN       5.0       1.0   \n",
       "4                 3.0       NaN       NaN       NaN       2.0       1.0   \n",
       "\n",
       "customer_id  40207348  40208033  40215179  40218137  40224781  40240304  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       2.0       1.0       NaN       NaN   \n",
       "1                 1.0       NaN       NaN       1.0       NaN       NaN   \n",
       "2                 6.0       NaN       NaN       1.0       NaN       NaN   \n",
       "3                 1.0       2.0       NaN       NaN       NaN       NaN   \n",
       "4                 5.0       3.0       NaN       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  40240853  40250598  40282390  40284997  40289546  40295622  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  40297008  40302631  40322205  40322944  40333622  40340012  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "1                 2.0       2.0       NaN       NaN       NaN       NaN   \n",
       "2                 1.0       NaN       NaN       1.0       NaN       NaN   \n",
       "3                 6.0       1.0       NaN       NaN       NaN       NaN   \n",
       "4                 2.0       1.0       NaN       1.0       NaN       1.0   \n",
       "\n",
       "customer_id  40369946  40383983  40389341  40400496  40417888  40419612  \\\n",
       "num_day                                                                   \n",
       "0                 3.0       NaN       NaN       NaN       4.0       NaN   \n",
       "1                 3.0       NaN       9.0       NaN       1.0       NaN   \n",
       "2                 NaN       1.0       2.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       1.0       NaN       1.0       NaN   \n",
       "4                 2.0       NaN       3.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  40421301  40425759  40470980  40492336  40493306  40495786  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       1.0       4.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       3.0       NaN   \n",
       "2                 NaN       NaN       1.0       1.0       NaN       NaN   \n",
       "3                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "4                 NaN       1.0       NaN       1.0       6.0       NaN   \n",
       "\n",
       "customer_id  40503988  40506156  40508730  40508757  40509142  40515468  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 5.0       NaN       1.0       NaN       NaN       NaN   \n",
       "2                 7.0       NaN       NaN       NaN      12.0       NaN   \n",
       "3                12.0       NaN       1.0       NaN       1.0       NaN   \n",
       "4                 2.0       NaN       NaN       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  40516517  40527658  40532686  40538394  40544411  40551322  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       1.0       NaN       NaN       NaN       3.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       3.0   \n",
       "4                 NaN       5.0       NaN       1.0       NaN       1.0   \n",
       "\n",
       "customer_id  40553692  40586220  40589519  40592211  40595641  40610322  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 2.0       NaN       NaN       NaN       NaN       4.0   \n",
       "4                 NaN       NaN       NaN       NaN       3.0       2.0   \n",
       "\n",
       "customer_id  40616415  40617181  40617555  40635820  40651290  40659220  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       6.0       NaN       2.0       NaN   \n",
       "1                 NaN       1.0       2.0       NaN       1.0       NaN   \n",
       "2                 NaN       2.0       1.0       1.0       2.0       NaN   \n",
       "3                 NaN       2.0       7.0       NaN       NaN       NaN   \n",
       "4                 NaN       1.0       5.0       4.0       1.0       NaN   \n",
       "\n",
       "customer_id  40675517  40676839  40678395  40691305  40697441  40703171  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       4.0       NaN       1.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       4.0       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       1.0       1.0       NaN       NaN   \n",
       "4                 1.0       2.0       NaN       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  40707596  40722638  40738451  40746179  40758429  40759116  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       7.0       NaN       NaN   \n",
       "2                 1.0       2.0       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       1.0       4.0       2.0       NaN       1.0   \n",
       "\n",
       "customer_id  40759789  40773698  40776977  40782485  40783985  40794899  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       2.0       NaN       1.0       2.0       NaN   \n",
       "1                 NaN       NaN       1.0       NaN       1.0       NaN   \n",
       "2                 NaN       4.0       NaN       1.0       1.0       NaN   \n",
       "3                 NaN       2.0       1.0       NaN       2.0       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  40798321  40810270  40823032  40824471  40826393  40830138  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "1                 NaN       NaN       1.0       NaN       2.0       NaN   \n",
       "2                 NaN       NaN       NaN       2.0       1.0       NaN   \n",
       "3                 NaN       NaN       1.0       1.0       NaN       NaN   \n",
       "4                 NaN       2.0       1.0       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  40831123  40833841  40834612  40842773  40845931  40851388  \\\n",
       "num_day                                                                   \n",
       "0                 4.0       2.0       NaN       NaN       NaN       NaN   \n",
       "1                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 2.0       1.0       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  40861147  40864017  40868214  40868825  40877619  40890358  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       6.0   \n",
       "\n",
       "customer_id  40890730  40896482  40912127  40917212  40929420  40933716  \\\n",
       "num_day                                                                   \n",
       "0                 4.0       4.0       NaN       NaN       1.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "4                 1.0       NaN       NaN       2.0       3.0       NaN   \n",
       "\n",
       "customer_id  40935946  40944313  40944775  40949707  40955904  40957411  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "2                 NaN       NaN       NaN       2.0       6.0       5.0   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       5.0   \n",
       "\n",
       "customer_id  40967012  40977043  40979729  40980777  40985902  40989881  \\\n",
       "num_day                                                                   \n",
       "0                 6.0       1.0       1.0       5.0       NaN       2.0   \n",
       "1                 1.0       NaN       1.0       NaN       NaN       4.0   \n",
       "2                 NaN       NaN       1.0       1.0       1.0       NaN   \n",
       "3                 3.0       1.0       1.0       NaN       NaN       NaN   \n",
       "4                 1.0       NaN       1.0       8.0       NaN       NaN   \n",
       "\n",
       "customer_id  40993149  40994389  40996596  41016531  41019412  41035404  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       4.0       NaN       1.0       NaN   \n",
       "4                 NaN       2.0       NaN       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  41042283  41045682  41063716  41072402  41074720  41074726  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       2.0       NaN       2.0   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "\n",
       "customer_id  41077349  41089888  41115094  41121283  41144715  41173950  \\\n",
       "num_day                                                                   \n",
       "0                 4.0       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 2.0       NaN       NaN       NaN       1.0       NaN   \n",
       "2                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "3                 3.0       NaN       1.0       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       3.0       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  41180368  41200666  41201999  41206678  41206871  41214068  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 4.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 1.0       NaN       NaN       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  41218578  41220999  41223923  41227639  41250316  41250878  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       4.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "2                 2.0       NaN       NaN       3.0       NaN       2.0   \n",
       "3                 1.0       NaN       NaN       6.0       NaN       1.0   \n",
       "4                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  41253082  41268389  41271099  41276924  41278606  41289120  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       2.0       2.0       NaN   \n",
       "1                 NaN       NaN       NaN       6.0       2.0       NaN   \n",
       "2                 NaN       NaN       NaN       4.0       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       3.0       2.0       NaN   \n",
       "\n",
       "customer_id  41289285  41299625  41313766  41315036  41317327  41326260  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       1.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       2.0       NaN       3.0   \n",
       "2                 NaN       NaN       1.0       2.0       NaN       2.0   \n",
       "3                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "4                 NaN       NaN       2.0       NaN       2.0       NaN   \n",
       "\n",
       "customer_id  41347113  41354564  41359098  41373183  41391145  41393715  \\\n",
       "num_day                                                                   \n",
       "0                 7.0       1.0       NaN       NaN       3.0       NaN   \n",
       "1                 NaN       NaN       NaN       1.0       NaN       1.0   \n",
       "2                 2.0       NaN       1.0       NaN       2.0       NaN   \n",
       "3                 3.0       NaN       NaN       NaN       2.0       NaN   \n",
       "4                 1.0       NaN       NaN       NaN       2.0       NaN   \n",
       "\n",
       "customer_id  41394223  41396508  41402784  41408368  41419039  41426070  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       5.0       2.0       NaN       3.0   \n",
       "1                 NaN       NaN       7.0       NaN       NaN       6.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       9.0       NaN       NaN       1.0   \n",
       "4                 1.0       NaN      11.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  41432519  41434409  41436755  41439986  41440128  41446597  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       4.0       NaN       4.0       NaN   \n",
       "2                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       7.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  41452342  41463776  41473142  41481189  41485331  41487480  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "1                 NaN       NaN       1.0       NaN       3.0       NaN   \n",
       "2                 NaN       NaN       2.0       NaN       2.0       NaN   \n",
       "3                 NaN       1.0       NaN       NaN       1.0       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  41492540  41503919  41504414  41508616  41513625  41519597  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       3.0       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       1.0       3.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  41525260  41535730  41543488  41543568  41553813  41559287  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "2                 NaN       NaN       1.0       2.0       NaN       NaN   \n",
       "3                 1.0       3.0       NaN       2.0       NaN       1.0   \n",
       "4                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  41564128  41570755  41574395  41585945  41586700  41589258  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       2.0       1.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "2                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "3                 NaN       NaN       1.0       NaN       3.0       NaN   \n",
       "4                 NaN       NaN       1.0       NaN       2.0       1.0   \n",
       "\n",
       "customer_id  41592350  41593548  41599422  41600750  41602678  41627313  \\\n",
       "num_day                                                                   \n",
       "0                 5.0       NaN       3.0       4.0       NaN       NaN   \n",
       "1                 NaN       NaN       1.0       3.0       NaN       NaN   \n",
       "2                 1.0       NaN       8.0       NaN       NaN       NaN   \n",
       "3                 4.0       NaN       7.0       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       4.0       2.0       NaN       NaN   \n",
       "\n",
       "customer_id  41629286  41634417  41665012  41666340  41671408  41674124  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       2.0       NaN       1.0   \n",
       "1                 NaN       NaN       6.0       1.0       NaN       NaN   \n",
       "2                 NaN       NaN       3.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       1.0       3.0       NaN       NaN   \n",
       "4                 1.0       NaN       1.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  41676509  41677616  41690086  41708415  41732684  41733016  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       2.0       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       1.0       1.0       NaN       1.0       NaN   \n",
       "2                 NaN       8.0       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       1.0       2.0       NaN       NaN       NaN   \n",
       "4                 NaN       1.0       NaN       NaN       1.0       2.0   \n",
       "\n",
       "customer_id  41740108  41749270  41749399  41750378  41755196  41756011  \\\n",
       "num_day                                                                   \n",
       "0                 3.0       NaN      12.0       NaN       NaN       1.0   \n",
       "1                 3.0       NaN       1.0       NaN       NaN       NaN   \n",
       "2                 2.0       NaN       2.0       NaN       NaN       NaN   \n",
       "3                 4.0       NaN       3.0       NaN       1.0       NaN   \n",
       "4                 1.0       NaN       3.0       NaN       4.0       NaN   \n",
       "\n",
       "customer_id  41764042  41765138  41783890  41795069  41801454  41822334  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       3.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "4                 1.0       NaN       2.0       NaN       4.0       NaN   \n",
       "\n",
       "customer_id  41828443  41829163  41839943  41846184  41850875  41856666  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       2.0       2.0       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       3.0       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       1.0       1.0       NaN       1.0       NaN   \n",
       "4                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  41857086  41866345  41867930  41870088  41880269  41904626  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN      11.0       NaN       2.0   \n",
       "1                 NaN       NaN       NaN       9.0       NaN       NaN   \n",
       "2                 NaN       NaN       1.0       3.0       NaN       NaN   \n",
       "3                 NaN       NaN       3.0       1.0       NaN       NaN   \n",
       "4                 NaN       NaN       2.0       1.0       4.0       NaN   \n",
       "\n",
       "customer_id  41914154  41920328  41924835  41930138  41931341  41945496  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       1.0       7.0       NaN   \n",
       "1                 NaN       NaN       NaN       1.0       5.0       NaN   \n",
       "2                 NaN       NaN       NaN       1.0       3.0       NaN   \n",
       "3                 1.0       NaN       NaN       NaN       4.0       NaN   \n",
       "4                 NaN       NaN       4.0       5.0       4.0       NaN   \n",
       "\n",
       "customer_id  41951078  41952471  41958575  41962980  41965418  41967480  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 2.0       1.0       NaN       NaN       NaN       NaN   \n",
       "3                 1.0       1.0       NaN       NaN       NaN       1.0   \n",
       "4                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  41967614  41975596  41980781  41992133  41993000  42016444  \\\n",
       "num_day                                                                   \n",
       "0                 3.0       NaN       1.0       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  42018297  42021247  42024119  42036396  42052021  42052798  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       4.0       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       4.0       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       5.0       1.0       2.0       NaN   \n",
       "4                 NaN       NaN       7.0       2.0       NaN       NaN   \n",
       "\n",
       "customer_id  42059673  42065452  42073636  42081665  42087923  42093341  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       NaN       2.0       NaN   \n",
       "1                 NaN       2.0       1.0       2.0       NaN       NaN   \n",
       "2                 NaN       2.0       2.0       1.0       NaN       NaN   \n",
       "3                 NaN       NaN       1.0       NaN       NaN       2.0   \n",
       "4                 NaN       1.0       1.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  42095372  42101009  42110434  42118302  42121332  42121528  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       2.0       6.0       1.0       4.0       NaN   \n",
       "1                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       1.0       NaN       1.0       NaN   \n",
       "4                 NaN       2.0       NaN       1.0       1.0       NaN   \n",
       "\n",
       "customer_id  42123803  42145298  42145577  42175599  42178458  42183126  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       1.0       NaN       NaN       NaN   \n",
       "1                 1.0       NaN       NaN       NaN       1.0       NaN   \n",
       "2                 1.0       1.0       NaN       NaN       NaN       NaN   \n",
       "3                 1.0       NaN       1.0       2.0       NaN       NaN   \n",
       "4                 1.0       NaN       3.0       3.0       NaN       NaN   \n",
       "\n",
       "customer_id  42187420  42191549  42212106  42224807  42235367  42239766  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       2.0       4.0       2.0       NaN       3.0   \n",
       "1                 NaN       NaN       NaN       3.0       NaN       2.0   \n",
       "2                 NaN       NaN       NaN       4.0       NaN       NaN   \n",
       "3                 NaN       NaN       1.0       2.0       NaN       NaN   \n",
       "4                 NaN       1.0       NaN       2.0       NaN       NaN   \n",
       "\n",
       "customer_id  42246349  42246782  42253470  42260184  42268246  42270256  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "1                 NaN       NaN       NaN       1.0       NaN       1.0   \n",
       "2                 1.0       NaN       NaN       1.0       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       2.0       NaN       3.0   \n",
       "4                 NaN       NaN       NaN       5.0       2.0       NaN   \n",
       "\n",
       "customer_id  42316195  42337032  42348677  42349925  42353680  42357588  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       2.0       NaN       2.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       4.0       NaN       NaN       NaN   \n",
       "3                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  42358186  42358512  42362670  42363434  42380127  42391654  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       1.0       2.0       1.0       NaN       4.0   \n",
       "1                 NaN       NaN       1.0       NaN       NaN       2.0   \n",
       "2                 NaN       1.0       1.0       NaN       NaN       3.0   \n",
       "3                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  42393167  42394871  42396248  42399034  42399340  42415929  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       4.0       5.0   \n",
       "1                 NaN       NaN       NaN       NaN       6.0       2.0   \n",
       "2                 NaN       NaN       NaN       NaN       4.0       1.0   \n",
       "3                 NaN       NaN       NaN       NaN       5.0       4.0   \n",
       "4                 NaN       2.0       NaN       1.0       8.0       1.0   \n",
       "\n",
       "customer_id  42418855  42426678  42443180  42445327  42445381  42450881  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       4.0       1.0       1.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       5.0   \n",
       "2                 NaN       4.0       NaN       NaN       NaN       NaN   \n",
       "3                 1.0       1.0       NaN       2.0       NaN       1.0   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       3.0   \n",
       "\n",
       "customer_id  42468580  42469382  42472185  42473263  42499362  42532660  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       6.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       6.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       6.0       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       5.0       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       4.0       NaN       NaN   \n",
       "\n",
       "customer_id  42535898  42548101  42549493  42568320  42571629  42572886  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       2.0       NaN       1.0       1.0       NaN   \n",
       "1                 NaN       NaN       1.0       1.0       1.0       NaN   \n",
       "2                 NaN       1.0       NaN       1.0       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       1.0       2.0       NaN   \n",
       "\n",
       "customer_id  42574062  42577027  42579266  42581125  42583209  42587346  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       2.0       1.0       NaN   \n",
       "1                 NaN       NaN       NaN       3.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "4                 1.0       NaN       NaN       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  42589434  42592016  42621506  42640091  42641019  42661601  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       NaN       NaN       2.0   \n",
       "1                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       2.0       NaN       2.0   \n",
       "3                 NaN       3.0       NaN       1.0       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       1.0       NaN       3.0   \n",
       "\n",
       "customer_id  42665801  42672294  42689265  42700468  42705235  42706169  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       3.0       NaN       1.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "2                 1.0       NaN       NaN       4.0       1.0       2.0   \n",
       "3                 NaN       NaN       NaN       1.0       1.0       3.0   \n",
       "4                 NaN       NaN       NaN       1.0       NaN       2.0   \n",
       "\n",
       "customer_id  42711403  42712944  42722953  42728732  42738927  42754291  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       2.0       2.0       NaN       2.0       NaN   \n",
       "1                 NaN       2.0       NaN       2.0       2.0       2.0   \n",
       "2                 NaN       2.0       NaN       NaN       NaN       3.0   \n",
       "3                 NaN       2.0       2.0       3.0       NaN       1.0   \n",
       "4                 NaN       3.0       1.0       1.0       NaN       2.0   \n",
       "\n",
       "customer_id  42754565  42774007  42799624  42800618  42809309  42814673  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       NaN       NaN       4.0   \n",
       "1                 1.0       NaN       NaN       NaN       NaN       2.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "4                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  42824084  42828657  42839220  42840212  42845330  42845878  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       3.0       NaN       NaN       3.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       2.0       NaN       NaN       2.0       NaN   \n",
       "3                 NaN       1.0       NaN       NaN       3.0       1.0   \n",
       "4                 NaN       NaN       NaN       1.0       3.0       1.0   \n",
       "\n",
       "customer_id  42855746  42857274  42859567  42860196  42863380  42872451  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "1                 NaN       1.0       NaN       1.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       2.0       NaN       3.0       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  42886037  42896093  42896317  42911253  42912369  42928556  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       1.0       NaN       NaN       2.0   \n",
       "3                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  42929877  42943868  42944405  42947433  42964024  42971992  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       4.0   \n",
       "1                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 2.0       NaN       1.0       NaN       NaN       3.0   \n",
       "3                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  42974849  42994382  43006473  43010105  43017820  43018886  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       1.0       1.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "2                 NaN       NaN       NaN       NaN       2.0       5.0   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       1.0       NaN       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  43021002  43021222  43021363  43022550  43024497  43030014  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       2.0       NaN       2.0       NaN   \n",
       "1                 NaN       NaN       1.0       NaN       2.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       3.0       NaN   \n",
       "3                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  43034825  43035727  43038038  43045074  43045496  43046245  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       1.0       NaN       NaN   \n",
       "1                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "3                 NaN       1.0       1.0       NaN       NaN       NaN   \n",
       "4                 1.0       NaN       3.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  43058834  43073236  43073474  43074437  43077073  43085507  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       NaN       5.0       NaN   \n",
       "1                 NaN       NaN       3.0       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       5.0       NaN       1.0       NaN   \n",
       "4                 NaN       NaN       2.0       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  43099100  43100750  43124703  43128661  43132001  43147536  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       1.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "2                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "3                 1.0       NaN       2.0       1.0       NaN       NaN   \n",
       "4                 4.0       NaN       1.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  43150346  43174611  43175913  43184017  43192812  43194961  \\\n",
       "num_day                                                                   \n",
       "0                 3.0       NaN       NaN       1.0       NaN       NaN   \n",
       "1                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       1.0       NaN       2.0       NaN       NaN   \n",
       "3                 2.0       NaN       NaN       7.0       NaN       NaN   \n",
       "4                 4.0       1.0       NaN       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  43195703  43206568  43212257  43214130  43214184  43221809  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       1.0       1.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  43224908  43227357  43243495  43253444  43261387  43262359  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  43268472  43280099  43296158  43300058  43300261  43308339  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       NaN       NaN       2.0   \n",
       "1                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       1.0       1.0       NaN       1.0   \n",
       "3                 NaN       1.0       2.0       NaN       NaN       1.0   \n",
       "4                 NaN       1.0       1.0       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  43318158  43325162  43339307  43346854  43361095  43362215  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       1.0       1.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "2                 NaN       NaN       2.0       NaN       2.0       1.0   \n",
       "3                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "4                 1.0       1.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  43372185  43376245  43380877  43381506  43383714  43393393  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       2.0       3.0       4.0   \n",
       "1                 NaN       NaN       NaN       3.0       5.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       5.0       NaN   \n",
       "\n",
       "customer_id  43394138  43402381  43433125  43442929  43453996  43455997  \\\n",
       "num_day                                                                   \n",
       "0                 4.0       NaN       NaN       NaN       NaN       1.0   \n",
       "1                 8.0       NaN       NaN       1.0       NaN       1.0   \n",
       "2                 3.0       1.0       NaN       NaN       NaN       1.0   \n",
       "3                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 1.0       NaN       NaN       3.0       NaN       1.0   \n",
       "\n",
       "customer_id  43467285  43468734  43471077  43485617  43486791  43494624  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       2.0       1.0       NaN       NaN   \n",
       "1                 2.0       NaN       NaN       1.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "4                 NaN       NaN       2.0       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  43496917  43497279  43506003  43506154  43506939  43509872  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       3.0       NaN   \n",
       "1                 NaN       NaN       NaN       2.0       4.0       NaN   \n",
       "2                 1.0       NaN       NaN       NaN       3.0       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       4.0       2.0   \n",
       "4                 NaN       NaN       NaN       NaN       4.0       1.0   \n",
       "\n",
       "customer_id  43519913  43520938  43531035  43541091  43542559  43550880  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       2.0       NaN       1.0       NaN       3.0   \n",
       "1                 NaN       4.0       NaN       NaN       NaN       2.0   \n",
       "2                 NaN       3.0       NaN       3.0       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "4                 NaN       1.0       NaN       NaN       5.0       3.0   \n",
       "\n",
       "customer_id  43551825  43556246  43568986  43570395  43574541  43575979  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       3.0       NaN   \n",
       "1                 1.0       NaN       NaN       NaN       2.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       8.0       NaN   \n",
       "3                 NaN       NaN       3.0       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       1.0       NaN       2.0       NaN   \n",
       "\n",
       "customer_id  43582036  43592606  43597122  43633440  43635814  43637663  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       2.0       NaN       2.0       NaN       NaN   \n",
       "1                 NaN       5.0       NaN       7.0       NaN       1.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "4                 NaN       1.0       NaN       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  43637901  43641791  43653980  43657092  43660285  43669023  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       4.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 1.0       NaN       NaN       2.0       NaN       NaN   \n",
       "3                 1.0       1.0       NaN       NaN       NaN       NaN   \n",
       "4                 1.0       1.0       NaN       1.0       4.0       NaN   \n",
       "\n",
       "customer_id  43680461  43703272  43719841  43720214  43726510  43730931  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       3.0       NaN       NaN   \n",
       "1                 1.0       1.0       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       2.0       NaN       2.0       NaN       1.0   \n",
       "3                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "4                 NaN       1.0       NaN       2.0       NaN       1.0   \n",
       "\n",
       "customer_id  43731279  43731955  43732528  43736516  43750327  43751504  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       1.0       1.0       NaN   \n",
       "1                 NaN       2.0       3.0       NaN       NaN       NaN   \n",
       "2                 1.0       1.0       5.0       1.0       NaN       NaN   \n",
       "3                 NaN       NaN       1.0       1.0       NaN       NaN   \n",
       "4                 1.0       1.0       2.0       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  43753351  43756578  43757703  43758609  43766960  43768815  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       3.0       NaN       NaN       1.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       6.0       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       3.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  43777193  43791164  43791407  43795979  43801606  43801813  \\\n",
       "num_day                                                                   \n",
       "0                 3.0       NaN       NaN       NaN       1.0       NaN   \n",
       "1                 3.0       NaN       6.0       NaN       NaN       1.0   \n",
       "2                 1.0       NaN       NaN       NaN       4.0       2.0   \n",
       "3                11.0       NaN       NaN       3.0       2.0       NaN   \n",
       "4                 1.0       NaN       NaN       1.0       3.0       NaN   \n",
       "\n",
       "customer_id  43803219  43806960  43813414  43819034  43820289  43821173  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       2.0       NaN       2.0       NaN       2.0   \n",
       "1                 1.0       NaN       NaN       NaN       2.0       2.0   \n",
       "2                 NaN       NaN       NaN       3.0       1.0       NaN   \n",
       "3                 NaN       2.0       NaN       2.0       NaN       2.0   \n",
       "4                 NaN       5.0       NaN       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  43821379  43833731  43834098  43835016  43838131  43843285  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       NaN       NaN       NaN       5.0   \n",
       "1                 3.0       NaN       NaN       NaN       NaN       2.0   \n",
       "2                 1.0       NaN       NaN       1.0       NaN       7.0   \n",
       "3                 3.0       NaN       NaN       NaN       NaN       5.0   \n",
       "4                 1.0       NaN       NaN       NaN       2.0       4.0   \n",
       "\n",
       "customer_id  43855654  43860093  43869219  43875957  43883286  43892754  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       2.0       2.0       NaN       NaN       1.0   \n",
       "1                 NaN       1.0       2.0       NaN       NaN       1.0   \n",
       "2                 NaN       2.0       1.0       1.0       NaN       1.0   \n",
       "3                 NaN       6.0       1.0       NaN       NaN       2.0   \n",
       "4                 NaN       4.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  43894350  43907938  43916963  43918581  43930125  43930859  \\\n",
       "num_day                                                                   \n",
       "0                 4.0       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 2.0       NaN       NaN       1.0       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "4                 3.0       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  43931691  43934227  43934285  43934664  43935211  43939842  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       5.0       1.0       NaN   \n",
       "1                 NaN       NaN       5.0       1.0       1.0       NaN   \n",
       "2                 NaN       2.0       4.0       6.0       3.0       NaN   \n",
       "3                 NaN       NaN       4.0       4.0       2.0       NaN   \n",
       "4                 NaN       NaN       2.0       4.0       1.0       NaN   \n",
       "\n",
       "customer_id  43941597  43942445  43946706  43947581  43954415  43954966  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  43955514  43957579  43962104  43964595  43965739  43966144  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       1.0       1.0       2.0       1.0   \n",
       "1                 NaN       NaN       NaN       3.0       NaN       2.0   \n",
       "2                 NaN       NaN       1.0       1.0       NaN       3.0   \n",
       "3                 NaN       NaN       1.0      11.0       NaN       5.0   \n",
       "4                 NaN       NaN       1.0       5.0       NaN       2.0   \n",
       "\n",
       "customer_id  43968005  43969966  43974358  43976962  43979678  43985003  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       1.0       1.0       1.0       NaN   \n",
       "1                 NaN       NaN       1.0       NaN       NaN       2.0   \n",
       "2                 NaN       1.0       1.0       NaN       NaN       NaN   \n",
       "3                 NaN       3.0       NaN       2.0       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  43985545  43999420  44018988  44029891  44030076  44056676  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       NaN       NaN       1.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  44060212  44075019  44075338  44080874  44083494  44086992  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       1.0       1.0       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  44103933  44107368  44107485  44110479  44124299  44124460  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       1.0       NaN       2.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "2                 NaN       NaN       NaN       1.0       1.0       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "4                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "\n",
       "customer_id  44128900  44130839  44138364  44147320  44160245  44160317  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 1.0       NaN       NaN       NaN       1.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       2.0       2.0   \n",
       "3                 NaN       NaN       NaN       1.0       1.0       1.0   \n",
       "4                 NaN       NaN       NaN       1.0       1.0       4.0   \n",
       "\n",
       "customer_id  44164394  44167113  44169982  44170453  44172322  44199037  \\\n",
       "num_day                                                                   \n",
       "0                 3.0       4.0       1.0       1.0       3.0       2.0   \n",
       "1                 1.0       NaN       1.0       NaN       2.0       NaN   \n",
       "2                 3.0       NaN       3.0       NaN       3.0       NaN   \n",
       "3                 1.0       NaN       1.0       NaN       3.0       NaN   \n",
       "4                 5.0       NaN       1.0       NaN       3.0       2.0   \n",
       "\n",
       "customer_id  44199795  44204936  44210124  44213163  44223937  44237168  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  44263303  44273504  44274164  44284908  44308350  44312909  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "1                 NaN       1.0       NaN       NaN       1.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       2.0       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  44319799  44325600  44335496  44338675  44339982  44345086  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       3.0       NaN       NaN       NaN       1.0   \n",
       "1                 NaN       1.0       NaN       NaN       1.0       NaN   \n",
       "2                 NaN       NaN       1.0       NaN       NaN       2.0   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  44345264  44349687  44350155  44353987  44362723  44377050  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       6.0       NaN       NaN       1.0       5.0   \n",
       "1                 6.0       1.0       NaN       NaN       NaN       NaN   \n",
       "2                 2.0       1.0       NaN       NaN       NaN       1.0   \n",
       "3                 5.0       3.0       NaN       NaN       NaN       NaN   \n",
       "4                 2.0       3.0       NaN       NaN       3.0       NaN   \n",
       "\n",
       "customer_id  44379362  44391595  44416819  44428158  44429375  44445893  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       1.0       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  44451498  44455642  44463692  44464397  44466557  44477280  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 2.0       NaN       3.0       2.0       NaN       NaN   \n",
       "3                 NaN       1.0       1.0       NaN       NaN       NaN   \n",
       "4                 1.0       NaN       2.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  44487260  44491596  44495229  44510904  44515592  44516482  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       4.0       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "2                 NaN       1.0       2.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       5.0       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       5.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  44521922  44531200  44552122  44552764  44555523  44567100  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN      23.0       2.0       NaN       1.0   \n",
       "1                 NaN       NaN      18.0       1.0       1.0       1.0   \n",
       "2                 1.0       NaN      10.0       1.0       NaN       NaN   \n",
       "3                 1.0       NaN      19.0       NaN       NaN       NaN   \n",
       "4                 1.0       NaN      81.0       NaN       NaN       4.0   \n",
       "\n",
       "customer_id  44570920  44581567  44582602  44593028  44595753  44597234  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       1.0       NaN       NaN       NaN       NaN   \n",
       "1                 1.0       2.0       NaN       NaN       NaN       NaN   \n",
       "2                 3.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 5.0       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  44611289  44630611  44632666  44632825  44642438  44643000  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       NaN       1.0       NaN   \n",
       "1                 NaN       NaN       1.0       NaN       1.0       NaN   \n",
       "2                 NaN       1.0      27.0       NaN       1.0       NaN   \n",
       "3                 3.0       NaN      15.0       NaN       1.0       NaN   \n",
       "4                 NaN       2.0      20.0       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  44653968  44657056  44662423  44663000  44666684  44676756  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       4.0       3.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       1.0       NaN       NaN       NaN       1.0   \n",
       "3                 2.0       2.0       NaN       NaN       1.0       7.0   \n",
       "4                 1.0       1.0       NaN       NaN       3.0       2.0   \n",
       "\n",
       "customer_id  44680427  44681594  44695825  44698445  44706920  44708064  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       3.0       1.0       NaN   \n",
       "2                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       3.0       3.0       1.0   \n",
       "4                 NaN       NaN       NaN       3.0       1.0       NaN   \n",
       "\n",
       "customer_id  44714700  44719963  44733932  44735517  44741704  44744771  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       NaN       1.0       NaN   \n",
       "1                 NaN       NaN       1.0       4.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       1.0       1.0       NaN   \n",
       "3                 NaN       NaN       3.0       2.0       NaN       NaN   \n",
       "4                 1.0       2.0       1.0       4.0       NaN       NaN   \n",
       "\n",
       "customer_id  44750536  44758820  44763290  44764576  44766825  44771419  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       1.0       NaN       NaN       2.0   \n",
       "4                 NaN       NaN       5.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  44772204  44780006  44782802  44790747  44812638  44818928  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       2.0       3.0   \n",
       "1                 NaN       2.0       NaN       NaN       1.0       2.0   \n",
       "2                 NaN       NaN       NaN       NaN       1.0       1.0   \n",
       "3                 NaN       NaN       NaN       NaN       4.0       2.0   \n",
       "4                 NaN       NaN       NaN       2.0       1.0       NaN   \n",
       "\n",
       "customer_id  44829111  44832124  44835468  44835891  44837780  44848119  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       1.0       3.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       3.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "4                 NaN       NaN       NaN       2.0       1.0       NaN   \n",
       "\n",
       "customer_id  44851634  44853390  44857168  44859190  44865192  44867984  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "1                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       1.0       1.0   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  44869748  44873974  44876755  44900801  44905775  44908094  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       1.0       NaN       NaN       NaN   \n",
       "1                 1.0       NaN       NaN       NaN       NaN       2.0   \n",
       "2                 3.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 6.0       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 4.0       NaN       1.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  44927222  44933295  44933464  44934830  44953616  44963302  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       1.0       NaN       NaN       1.0       NaN   \n",
       "2                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  44965738  44976221  44982602  44992736  44995851  44995890  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "1                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  45006373  45010798  45026868  45082517  45083298  45084590  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       3.0       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 1.0       1.0       4.0       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  45099272  45106113  45114388  45114439  45119322  45123326  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       5.0       1.0   \n",
       "1                 NaN       1.0       2.0       NaN       2.0       1.0   \n",
       "2                 NaN       2.0       NaN       NaN       3.0       1.0   \n",
       "3                 1.0       NaN       NaN       1.0       8.0       NaN   \n",
       "4                 NaN       2.0       1.0       NaN       2.0       1.0   \n",
       "\n",
       "customer_id  45131907  45148188  45148559  45149703  45151678  45152701  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "3                 6.0       NaN       1.0       NaN       1.0       NaN   \n",
       "4                 3.0       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  45155363  45171289  45173444  45201436  45203352  45211171  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       1.0       1.0       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "4                 NaN       NaN       NaN       2.0       NaN       1.0   \n",
       "\n",
       "customer_id  45215768  45223278  45225176  45227053  45229256  45231624  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       5.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  45249788  45251588  45258227  45280580  45281708  45305790  \\\n",
       "num_day                                                                   \n",
       "0                 5.0       NaN       5.0       5.0       1.0       2.0   \n",
       "1                 9.0       NaN       NaN       3.0       NaN       NaN   \n",
       "2                 1.0       NaN       NaN       3.0       NaN       2.0   \n",
       "3                 NaN       NaN       NaN       4.0       NaN       1.0   \n",
       "4                 6.0       NaN       NaN       3.0       NaN       NaN   \n",
       "\n",
       "customer_id  45313401  45316463  45338523  45339969  45340584  45347884  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       NaN       1.0       NaN   \n",
       "1                 1.0       NaN       2.0       NaN       NaN       NaN   \n",
       "2                 7.0       NaN       1.0       NaN       NaN       NaN   \n",
       "3                 4.0       4.0       2.0       3.0       1.0       NaN   \n",
       "4                 4.0       4.0       1.0       1.0       NaN       1.0   \n",
       "\n",
       "customer_id  45348722  45352924  45356726  45358821  45371529  45374753  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  45384246  45399937  45402722  45406547  45415313  45421659  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       1.0       2.0       3.0   \n",
       "1                 NaN       NaN       NaN       NaN       4.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       3.0       1.0   \n",
       "3                 2.0       NaN       2.0       1.0       1.0       5.0   \n",
       "4                 1.0       NaN       2.0       NaN       3.0       3.0   \n",
       "\n",
       "customer_id  45427100  45431238  45431782  45437793  45438179  45448008  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       1.0       1.0   \n",
       "1                 NaN       1.0       NaN       NaN       NaN       5.0   \n",
       "2                 NaN       1.0       NaN       2.0       NaN       1.0   \n",
       "3                 NaN       NaN       NaN       5.0       NaN       NaN   \n",
       "4                 NaN       1.0       NaN       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  45454679  45457016  45459901  45467593  45477365  45479973  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       1.0       5.0   \n",
       "1                 1.0       NaN       NaN       NaN       NaN       4.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       5.0       1.0   \n",
       "\n",
       "customer_id  45482726  45484912  45488741  45510423  45512022  45516707  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       4.0       1.0       1.0       NaN       NaN   \n",
       "1                 NaN       1.0       NaN       1.0       1.0       1.0   \n",
       "2                 NaN       1.0       NaN       1.0       NaN       NaN   \n",
       "3                 NaN       2.0       NaN       NaN       NaN       2.0   \n",
       "4                 NaN       2.0       NaN       1.0       NaN       3.0   \n",
       "\n",
       "customer_id  45525762  45532887  45548906  45550463  45557459  45567492  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "\n",
       "customer_id  45575726  45600604  45601657  45614970  45619328  45627866  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       2.0       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       2.0       NaN       NaN       NaN       1.0   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  45630829  45639804  45646491  45649988  45652279  45659157  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       4.0       NaN       NaN       1.0   \n",
       "1                 NaN       2.0       NaN       NaN       NaN       3.0   \n",
       "2                 NaN       NaN       8.0       1.0       NaN       NaN   \n",
       "3                 1.0       1.0       2.0       NaN       NaN       NaN   \n",
       "4                 1.0       NaN       4.0       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  45678863  45690215  45691735  45696212  45701606  45702843  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       3.0       NaN       NaN       NaN       1.0   \n",
       "1                 NaN       NaN       1.0       NaN       2.0       1.0   \n",
       "2                 NaN       NaN       NaN       NaN       5.0       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       2.0       2.0   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       3.0   \n",
       "\n",
       "customer_id  45708558  45709137  45723574  45728264  45728687  45729557  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       2.0       NaN       2.0       2.0       NaN   \n",
       "1                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 1.0       NaN       NaN       NaN       1.0       NaN   \n",
       "3                 3.0       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "\n",
       "customer_id  45730577  45744186  45745541  45750252  45757089  45758154  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN      16.0       NaN       4.0       NaN   \n",
       "1                 NaN       NaN      11.0       NaN       2.0       NaN   \n",
       "2                 NaN       NaN      13.0       NaN       1.0       1.0   \n",
       "3                 1.0       NaN       8.0       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       3.0       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  45761613  45772959  45795926  45808990  45821941  45825869  \\\n",
       "num_day                                                                   \n",
       "0                 6.0       1.0       3.0       1.0       NaN       NaN   \n",
       "1                 2.0       1.0       2.0       NaN       NaN       NaN   \n",
       "2                 2.0       1.0       NaN       2.0       NaN       1.0   \n",
       "3                 5.0       2.0       2.0       1.0       NaN       NaN   \n",
       "4                 1.0       4.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  45828687  45846624  45859594  45860902  45863288  45864063  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       2.0       NaN       NaN       1.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN      11.0   \n",
       "2                 NaN       NaN       1.0       NaN       2.0       NaN   \n",
       "3                 NaN       NaN       1.0       NaN       NaN       1.0   \n",
       "4                 NaN       NaN       NaN       1.0       NaN       4.0   \n",
       "\n",
       "customer_id  45882698  45885513  45887693  45890327  45894000  45897442  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "1                 NaN       2.0       NaN       NaN       1.0       1.0   \n",
       "2                 NaN       1.0       NaN       1.0       1.0       1.0   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       3.0       2.0       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  45901668  45911713  45912503  45928448  45934273  45934953  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 1.0       1.0       3.0       NaN       NaN       NaN   \n",
       "2                 2.0       1.0       NaN       NaN       NaN       NaN   \n",
       "3                 1.0       2.0       2.0       2.0       NaN       NaN   \n",
       "4                 2.0       1.0       3.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  45951692  45956004  45959249  45959906  45969483  45980810  \\\n",
       "num_day                                                                   \n",
       "0                 3.0       NaN       NaN       NaN       1.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       5.0       NaN   \n",
       "3                 1.0       1.0       NaN       NaN       3.0       NaN   \n",
       "4                 NaN       1.0       1.0       4.0       1.0       NaN   \n",
       "\n",
       "customer_id  45982409  45987069  45991797  45993845  45995180  45999021  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       7.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "2                 2.0       NaN       NaN       NaN       3.0       NaN   \n",
       "3                 NaN       NaN       1.0       6.0       3.0       NaN   \n",
       "4                 NaN       NaN       1.0       5.0       NaN       NaN   \n",
       "\n",
       "customer_id  45999685  46000408  46004739  46010539  46011296  46024442  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       2.0       3.0       NaN       7.0       1.0   \n",
       "1                 NaN       NaN       4.0       NaN       5.0       1.0   \n",
       "2                 NaN       1.0       NaN       NaN       NaN       1.0   \n",
       "3                 NaN       1.0       NaN       NaN       1.0       2.0   \n",
       "4                 NaN       2.0       2.0       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  46037128  46040640  46054402  46055066  46062086  46074662  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 8.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 1.0       NaN       1.0       NaN       NaN       NaN   \n",
       "3                 4.0       NaN       1.0       NaN       NaN       NaN   \n",
       "4                 4.0       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  46084699  46095038  46105863  46110124  46111401  46128853  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       2.0       NaN       NaN       NaN   \n",
       "1                 1.0       NaN       1.0       NaN       NaN       NaN   \n",
       "2                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 1.0       2.0       2.0       NaN       NaN       NaN   \n",
       "4                 3.0       1.0       1.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  46134404  46134994  46142955  46145930  46147743  46148987  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       7.0       NaN       1.0       NaN       1.0   \n",
       "1                 NaN       1.0       2.0       NaN       NaN       1.0   \n",
       "2                 NaN       1.0       1.0       NaN       NaN       NaN   \n",
       "3                 NaN       2.0       1.0       1.0       NaN       NaN   \n",
       "4                 4.0       7.0       7.0       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  46156867  46174469  46180411  46192684  46194979  46212948  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       2.0       NaN       1.0       NaN       2.0   \n",
       "1                 NaN       NaN       1.0       NaN       1.0       NaN   \n",
       "2                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  46213241  46217685  46221647  46222201  46223552  46227111  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "4                 1.0       2.0       NaN       1.0       NaN       1.0   \n",
       "\n",
       "customer_id  46236143  46245791  46250913  46251528  46253147  46259146  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       NaN       1.0       NaN   \n",
       "1                 NaN       NaN       1.0       NaN       1.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       1.0       1.0   \n",
       "4                 NaN       NaN       1.0       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  46266430  46268500  46270513  46271150  46272734  46308869  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       7.0       NaN       NaN       NaN   \n",
       "1                 NaN       1.0       6.0       NaN       6.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       1.0       4.0       2.0       NaN       NaN   \n",
       "4                 NaN       1.0       1.0       1.0       4.0       NaN   \n",
       "\n",
       "customer_id  46314531  46319037  46330016  46339648  46352874  46353127  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       1.0       NaN       1.0   \n",
       "1                 NaN       NaN       NaN       3.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "4                 NaN       NaN       NaN       1.0       NaN       2.0   \n",
       "\n",
       "customer_id  46354028  46354312  46355843  46360820  46363024  46366568  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 1.0       NaN       1.0       NaN       1.0       1.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 1.0       NaN       NaN       NaN       1.0       NaN   \n",
       "4                 NaN       NaN       2.0       2.0       1.0       NaN   \n",
       "\n",
       "customer_id  46368438  46369214  46377895  46384577  46385782  46386937  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       4.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       4.0       4.0       NaN   \n",
       "4                 NaN       NaN       NaN       6.0       1.0       NaN   \n",
       "\n",
       "customer_id  46392653  46396039  46404954  46409917  46411454  46413661  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 1.0       NaN       NaN       1.0       NaN       NaN   \n",
       "2                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       1.0       NaN       1.0       NaN       NaN   \n",
       "4                 2.0       NaN       1.0       2.0       1.0       NaN   \n",
       "\n",
       "customer_id  46416045  46431440  46437397  46438232  46440346  46443761  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "3                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  46448575  46449412  46479242  46510267  46519103  46521865  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       3.0       2.0       NaN      10.0       NaN   \n",
       "1                 3.0       NaN       2.0       NaN       NaN       3.0   \n",
       "2                 NaN       NaN       1.0       NaN       NaN       1.0   \n",
       "3                 NaN       NaN       1.0       NaN       2.0       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       1.0       1.0   \n",
       "\n",
       "customer_id  46523355  46529764  46531075  46534625  46537261  46549155  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       1.0       NaN       2.0       NaN       3.0   \n",
       "1                 NaN       NaN       NaN       3.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "3                 NaN       NaN       NaN       2.0       1.0       NaN   \n",
       "4                 NaN       3.0       NaN       1.0       2.0       NaN   \n",
       "\n",
       "customer_id  46549491  46557366  46562431  46571115  46573073  46573779  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       3.0       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       4.0       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       5.0       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  46577243  46579237  46581047  46591098  46602381  46606512  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       2.0       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       3.0       3.0       NaN   \n",
       "3                 NaN       1.0       2.0       NaN       4.0       NaN   \n",
       "4                 NaN       5.0       2.0       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  46606761  46617094  46617673  46629877  46637679  46653901  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       2.0       2.0       1.0       1.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       2.0       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "4                 1.0       1.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  46656732  46664014  46678844  46684516  46684787  46685497  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  46698940  46702579  46705143  46707103  46709084  46726266  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       1.0       NaN       NaN       NaN       NaN   \n",
       "1                 2.0       NaN       3.0       NaN       NaN       NaN   \n",
       "2                 NaN       1.0       1.0       NaN       NaN       NaN   \n",
       "3                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  46728112  46740639  46740820  46759388  46769155  46783234  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       NaN       5.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "2                 NaN       1.0       NaN       NaN       NaN       1.0   \n",
       "3                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "4                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  46784787  46792402  46797614  46798020  46812240  46812280  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       1.0       NaN       1.0   \n",
       "1                 NaN       NaN       NaN       2.0       NaN       2.0   \n",
       "2                 NaN       NaN       NaN       1.0       1.0       NaN   \n",
       "3                 NaN       2.0       NaN       3.0       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "\n",
       "customer_id  46837651  46850338  46851940  46853761  46857524  46862332  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       1.0       NaN       3.0       1.0       NaN   \n",
       "1                 2.0       NaN       NaN       NaN       1.0       2.0   \n",
       "2                 NaN       2.0       NaN       NaN       NaN       NaN   \n",
       "3                 4.0       NaN       NaN       NaN       1.0       2.0   \n",
       "4                 1.0       NaN       NaN       NaN       NaN       2.0   \n",
       "\n",
       "customer_id  46869540  46876368  46882226  46890042  46890366  46896161  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       NaN       NaN      72.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN      19.0       NaN   \n",
       "2                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 3.0       NaN       NaN       NaN       1.0       NaN   \n",
       "4                 2.0       1.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  46911385  46911703  46923945  46931053  46933914  46937261  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       5.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       4.0       NaN       NaN   \n",
       "\n",
       "customer_id  46939260  46949310  46966804  46967136  46967214  46977616  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       3.0       NaN       1.0   \n",
       "1                 NaN       NaN       NaN       5.0       NaN       NaN   \n",
       "2                 2.0       NaN       NaN       2.0       NaN       NaN   \n",
       "3                 3.0       NaN       NaN       1.0       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       1.0       NaN       3.0   \n",
       "\n",
       "customer_id  46982480  46992221  46999340  47005673  47025283  47035157  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       2.0       NaN       NaN       NaN   \n",
       "1                 3.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       1.0       NaN       NaN       3.0       NaN   \n",
       "3                 2.0       NaN       1.0       NaN       2.0       NaN   \n",
       "4                 3.0       NaN       2.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  47041136  47056620  47056744  47057470  47075678  47076031  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       1.0       NaN       NaN       2.0   \n",
       "4                 NaN       NaN       1.0       NaN       NaN       4.0   \n",
       "\n",
       "customer_id  47077505  47089167  47092943  47113842  47116529  47117781  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  47121169  47121754  47160860  47165855  47169483  47170303  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       4.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  47172123  47173984  47176666  47240029  47259366  47263147  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       1.0       NaN       7.0       4.0       NaN   \n",
       "1                 NaN       2.0       NaN       4.0       NaN       NaN   \n",
       "2                 1.0       NaN       NaN       1.0       NaN       NaN   \n",
       "3                 NaN       1.0       NaN       5.0       1.0       NaN   \n",
       "4                 NaN       1.0       NaN       3.0       2.0       NaN   \n",
       "\n",
       "customer_id  47264465  47268746  47273305  47279064  47299886  47304072  \\\n",
       "num_day                                                                   \n",
       "0                11.0       3.0       2.0       NaN       1.0       NaN   \n",
       "1                 4.0       NaN       2.0       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       2.0       NaN       NaN       1.0   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 1.0       NaN       NaN       2.0       NaN       3.0   \n",
       "\n",
       "customer_id  47314303  47328174  47328757  47336085  47350031  47355978  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       2.0       NaN       NaN       3.0       NaN   \n",
       "1                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       1.0       1.0       NaN   \n",
       "4                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  47365105  47375053  47384938  47387353  47403260  47403816  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       1.0       1.0       3.0       NaN   \n",
       "1                 NaN       3.0       2.0       NaN       NaN       1.0   \n",
       "2                 NaN       2.0       3.0       NaN       2.0       NaN   \n",
       "3                 NaN       NaN       2.0       NaN       2.0       NaN   \n",
       "4                 NaN       4.0       3.0       NaN       6.0       NaN   \n",
       "\n",
       "customer_id  47406846  47409590  47412460  47413283  47419963  47429651  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       2.0       1.0       1.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       6.0   \n",
       "3                 NaN       NaN       NaN       NaN       3.0       NaN   \n",
       "4                 NaN       NaN       3.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  47430126  47441784  47446562  47446589  47450374  47464006  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       2.0       4.0       NaN       NaN   \n",
       "1                 NaN       NaN       2.0       2.0       NaN       NaN   \n",
       "2                 NaN       3.0       1.0       NaN       NaN       NaN   \n",
       "3                 NaN       2.0       NaN       NaN       NaN       2.0   \n",
       "4                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  47465679  47468128  47474125  47481515  47490635  47495766  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       4.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  47499859  47510814  47511758  47527335  47550723  47563681  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       1.0       NaN       1.0       1.0   \n",
       "1                 NaN       1.0       NaN       NaN       1.0       2.0   \n",
       "2                 1.0       2.0       2.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       3.0       NaN       NaN       NaN   \n",
       "4                 5.0       NaN       1.0       7.0       NaN       NaN   \n",
       "\n",
       "customer_id  47570953  47572617  47574729  47577577  47578863  47580121  \\\n",
       "num_day                                                                   \n",
       "0                 6.0       NaN       4.0       3.0       2.0       1.0   \n",
       "1                 7.0       1.0       1.0       8.0       NaN       NaN   \n",
       "2                 2.0       NaN       NaN       7.0       NaN       NaN   \n",
       "3                 3.0       1.0       NaN       9.0       NaN       NaN   \n",
       "4                 NaN       2.0       2.0      11.0       NaN       NaN   \n",
       "\n",
       "customer_id  47588079  47589106  47589997  47605424  47607230  47613054  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       3.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  47618927  47620156  47623554  47629403  47636043  47637073  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "1                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 4.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 8.0       3.0       NaN       NaN       NaN       NaN   \n",
       "4                 4.0       1.0       NaN       NaN       4.0       NaN   \n",
       "\n",
       "customer_id  47650332  47652409  47653609  47655286  47662108  47668940  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       1.0       1.0       NaN   \n",
       "1                 NaN       NaN       1.0       1.0       2.0       NaN   \n",
       "2                 NaN       NaN       2.0       NaN       1.0       NaN   \n",
       "3                 NaN       1.0       2.0       NaN       1.0       NaN   \n",
       "4                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  47674446  47689124  47691222  47695293  47696289  47708756  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       2.0       NaN       NaN       NaN       1.0   \n",
       "1                 5.0       3.0       NaN       NaN       NaN       NaN   \n",
       "2                 2.0       2.0       NaN       NaN       2.0       1.0   \n",
       "3                 2.0       1.0       NaN       NaN       NaN       4.0   \n",
       "4                 2.0       NaN       NaN       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  47718496  47725062  47732111  47734912  47736518  47742763  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       NaN       1.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "2                 NaN       4.0       NaN       NaN       1.0       NaN   \n",
       "3                 NaN       2.0       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  47746315  47746953  47748238  47750610  47756382  47756783  \\\n",
       "num_day                                                                   \n",
       "0                 3.0       NaN       NaN       2.0       NaN       NaN   \n",
       "1                 NaN       NaN       1.0       NaN       2.0       NaN   \n",
       "2                 NaN       NaN       NaN       2.0       2.0       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "4                 NaN       NaN       NaN       3.0       NaN       NaN   \n",
       "\n",
       "customer_id  47757166  47765941  47770801  47812425  47813563  47813751  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  47830665  47836515  47838429  47840826  47843594  47848512  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       1.0       1.0       NaN       1.0       1.0   \n",
       "1                 NaN       2.0       NaN       NaN       1.0       NaN   \n",
       "2                 NaN       1.0       2.0       NaN       5.0       NaN   \n",
       "3                 NaN       NaN       1.0       2.0       3.0       1.0   \n",
       "4                 NaN       1.0       3.0       2.0       1.0       NaN   \n",
       "\n",
       "customer_id  47849005  47852172  47853460  47862820  47880011  47883013  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       7.0       NaN       NaN       NaN   \n",
       "1                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       5.0       NaN       NaN       NaN   \n",
       "4                 2.0       1.0       3.0       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  47884197  47895869  47908242  47917274  47917298  47923929  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       5.0       1.0       3.0       NaN       NaN   \n",
       "1                 2.0       5.0       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       4.0       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       2.0       1.0       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       1.0       NaN       4.0       NaN   \n",
       "\n",
       "customer_id  47924325  47927293  47934592  47937805  47938988  47941379  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       3.0       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 2.0       1.0       1.0       1.0       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       1.0       2.0       NaN   \n",
       "\n",
       "customer_id  47960112  47975972  47981532  47984117  47994079  47995959  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       1.0       2.0   \n",
       "1                 NaN       NaN       1.0       1.0       4.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       1.0       NaN       3.0       2.0       6.0   \n",
       "4                 NaN       1.0       NaN       2.0       NaN       2.0   \n",
       "\n",
       "customer_id  47998342  48005065  48015680  48023957  48026850  48033616  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       4.0       NaN       NaN       1.0   \n",
       "1                 3.0       NaN       2.0       NaN       NaN       2.0   \n",
       "2                 3.0       1.0       4.0       NaN       NaN       1.0   \n",
       "3                 4.0       NaN       2.0       NaN       NaN       2.0   \n",
       "4                 2.0       NaN       1.0       4.0       NaN       NaN   \n",
       "\n",
       "customer_id  48036061  48038681  48041843  48045861  48046974  48047924  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       3.0       NaN       NaN   \n",
       "\n",
       "customer_id  48048713  48057553  48075002  48078250  48079409  48079721  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       3.0       3.0       NaN       1.0       NaN   \n",
       "1                 1.0       1.0       NaN       NaN       1.0       NaN   \n",
       "2                 2.0       NaN       1.0       NaN       2.0       NaN   \n",
       "3                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  48087576  48090752  48094140  48098545  48101409  48111232  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       NaN       4.0       5.0   \n",
       "1                 NaN       NaN       1.0       NaN       3.0       2.0   \n",
       "2                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       5.0       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       3.0       2.0   \n",
       "\n",
       "customer_id  48119333  48125969  48131034  48140681  48150301  48153184  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       5.0       1.0   \n",
       "1                 3.0       NaN       NaN       5.0       5.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "3                 1.0       NaN       NaN       2.0       1.0       1.0   \n",
       "4                 NaN       NaN       NaN       NaN       1.0       2.0   \n",
       "\n",
       "customer_id  48156344  48159253  48161744  48172242  48175348  48180760  \\\n",
       "num_day                                                                   \n",
       "0                 4.0       NaN       NaN       NaN       4.0       NaN   \n",
       "1                 1.0       NaN       NaN       NaN       2.0       NaN   \n",
       "2                 1.0       NaN       NaN       NaN       4.0       NaN   \n",
       "3                 1.0       NaN       NaN       NaN       3.0       NaN   \n",
       "4                 2.0       NaN       NaN       NaN       3.0       NaN   \n",
       "\n",
       "customer_id  48192892  48198100  48204560  48214869  48224220  48241710  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       1.0       NaN       NaN       1.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "2                 NaN       NaN       NaN       1.0       2.0       NaN   \n",
       "3                 1.0       NaN       NaN       2.0       2.0       NaN   \n",
       "4                 NaN       NaN       NaN       3.0       1.0       NaN   \n",
       "\n",
       "customer_id  48253563  48254713  48259494  48263763  48267901  48270893  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       NaN       9.0       NaN       NaN   \n",
       "1                 3.0       NaN       NaN       2.0       NaN       NaN   \n",
       "2                 1.0       NaN       NaN       4.0       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       4.0       NaN       NaN   \n",
       "4                 2.0       NaN       NaN       4.0       NaN       NaN   \n",
       "\n",
       "customer_id  48281795  48285503  48288703  48289042  48289048  48289250  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "1                 NaN       1.0       NaN       NaN       NaN       2.0   \n",
       "2                 NaN       1.0       4.0       NaN       NaN       1.0   \n",
       "3                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       2.0       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  48290280  48303453  48318891  48327988  48355809  48356845  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       2.0       NaN       NaN       2.0   \n",
       "1                 NaN       NaN       1.0       NaN       NaN       3.0   \n",
       "2                 NaN       NaN       1.0       NaN       NaN       1.0   \n",
       "3                 NaN       NaN       2.0       NaN       NaN       2.0   \n",
       "4                 NaN       NaN       1.0       1.0       NaN       1.0   \n",
       "\n",
       "customer_id  48379608  48380112  48404060  48405962  48413853  48417683  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       NaN       1.0       3.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "2                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "3                 NaN      10.0       NaN       NaN       1.0       1.0   \n",
       "4                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  48425709  48433830  48434170  48447048  48458257  48461121  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       1.0       NaN       NaN       1.0   \n",
       "1                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       1.0       NaN       NaN       NaN       6.0   \n",
       "3                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "4                 1.0       NaN       NaN       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  48463492  48481421  48485269  48493498  48503602  48510964  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       NaN       3.0       NaN       NaN   \n",
       "1                 NaN       NaN       1.0       3.0       NaN       NaN   \n",
       "2                 NaN       NaN       1.0       3.0       NaN       NaN   \n",
       "3                 3.0       NaN       NaN       5.0       NaN       NaN   \n",
       "4                 6.0       NaN       NaN       7.0       NaN       NaN   \n",
       "\n",
       "customer_id  48527973  48537787  48539312  48544484  48546267  48553900  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  48555372  48555373  48573524  48583817  48603296  48611938  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       2.0       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  48618305  48621241  48629324  48632522  48635606  48635897  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       NaN       3.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "2                 NaN       NaN       NaN       1.0       1.0       NaN   \n",
       "3                 NaN       NaN       NaN       5.0       3.0       NaN   \n",
       "4                 NaN       NaN       NaN       5.0       NaN       NaN   \n",
       "\n",
       "customer_id  48642623  48642979  48644905  48647125  48655419  48657857  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       4.0       NaN       1.0   \n",
       "1                 NaN       NaN       NaN       1.0       3.0       NaN   \n",
       "2                 NaN       NaN       NaN       4.0       4.0       NaN   \n",
       "3                 NaN       NaN       NaN       3.0       2.0       NaN   \n",
       "4                 NaN       1.0       NaN       3.0       2.0       NaN   \n",
       "\n",
       "customer_id  48675742  48709595  48719830  48730144  48737736  48738935  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       4.0       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       3.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  48741370  48741933  48743209  48746395  48751972  48753673  \\\n",
       "num_day                                                                   \n",
       "0                 6.0       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 2.0       NaN       1.0       NaN       2.0       NaN   \n",
       "2                 NaN       1.0       1.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "4                 1.0       NaN       2.0       NaN       2.0       NaN   \n",
       "\n",
       "customer_id  48755198  48757968  48760719  48762969  48765335  48770474  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       2.0       1.0   \n",
       "4                 1.0       NaN       NaN       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  48771470  48778236  48802270  48803462  48805691  48815656  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       3.0       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       2.0       5.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  48819028  48822343  48828269  48831714  48843075  48846477  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       1.0       NaN       1.0       NaN   \n",
       "1                 1.0       NaN       1.0       NaN       2.0       NaN   \n",
       "2                 NaN       1.0       1.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       1.0       NaN       1.0       NaN   \n",
       "4                 NaN       NaN       4.0       NaN       7.0       NaN   \n",
       "\n",
       "customer_id  48853469  48854362  48857176  48860137  48860774  48863277  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       2.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 2.0       1.0       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  48877373  48881517  48881759  48895853  48898186  48906860  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       NaN       1.0       1.0   \n",
       "1                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "3                 NaN       1.0       2.0       NaN       1.0       1.0   \n",
       "4                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  48907168  48923266  48925997  48926565  48931494  48931592  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "1                 1.0       NaN       NaN       3.0       1.0       1.0   \n",
       "2                 1.0       NaN       NaN       1.0       NaN       3.0   \n",
       "3                 1.0       NaN       NaN       NaN       NaN       4.0   \n",
       "4                 6.0       NaN       NaN       3.0       NaN       1.0   \n",
       "\n",
       "customer_id  48933372  48962034  48968676  48970597  48971428  48980306  \\\n",
       "num_day                                                                   \n",
       "0                 3.0       NaN       1.0       1.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "2                 1.0       NaN       NaN       2.0       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       3.0       NaN       NaN   \n",
       "4                 NaN       1.0       1.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  48992497  49004865  49009430  49013605  49035738  49056586  \\\n",
       "num_day                                                                   \n",
       "0                 5.0       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       4.0   \n",
       "3                 1.0       NaN       NaN       1.0       NaN       NaN   \n",
       "4                 4.0       2.0       2.0       NaN       NaN       5.0   \n",
       "\n",
       "customer_id  49057698  49061170  49061245  49078030  49083272  49083661  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       3.0       NaN       NaN       1.0   \n",
       "1                 2.0       NaN       1.0       NaN       NaN       NaN   \n",
       "2                 2.0       NaN       2.0       NaN       NaN       NaN   \n",
       "3                 1.0       NaN       4.0       NaN       NaN       NaN   \n",
       "4                 2.0       NaN       3.0       1.0       NaN       2.0   \n",
       "\n",
       "customer_id  49091935  49095286  49111108  49111754  49114415  49117360  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       1.0       3.0       1.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "3                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       4.0       NaN       8.0   \n",
       "\n",
       "customer_id  49141264  49145982  49148603  49151639  49154469  49156377  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "4                 NaN       NaN       4.0       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  49163174  49179809  49182911  49188073  49191324  49193197  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       6.0       NaN       3.0   \n",
       "1                 1.0       NaN       NaN      14.0       NaN       1.0   \n",
       "2                 NaN       NaN       NaN       1.0       1.0       NaN   \n",
       "3                 3.0       NaN       NaN       NaN       2.0       1.0   \n",
       "4                 NaN       NaN       3.0       2.0       1.0       2.0   \n",
       "\n",
       "customer_id  49202608  49219375  49219531  49220108  49222601  49228428  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       2.0       1.0       3.0   \n",
       "1                 NaN       NaN       NaN       2.0       4.0       2.0   \n",
       "2                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       2.0       1.0       1.0   \n",
       "4                 NaN       NaN       NaN       NaN       3.0       NaN   \n",
       "\n",
       "customer_id  49233361  49235515  49238238  49238589  49239668  49254761  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       2.0       1.0       NaN       3.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 1.0       NaN       2.0       1.0       NaN       2.0   \n",
       "3                 NaN       NaN       2.0       NaN       NaN       4.0   \n",
       "4                 2.0       NaN       1.0       2.0       NaN       4.0   \n",
       "\n",
       "customer_id  49257431  49281143  49283085  49285735  49288762  49289494  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       3.0   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       3.0       NaN       NaN       4.0   \n",
       "\n",
       "customer_id  49290573  49292599  49300566  49314147  49320792  49330434  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       3.0       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       3.0       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       6.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       3.0       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  49334729  49339691  49355130  49365990  49367407  49373666  \\\n",
       "num_day                                                                   \n",
       "0                 5.0       5.0       5.0       3.0       NaN       NaN   \n",
       "1                 NaN       2.0       5.0      11.0       1.0       NaN   \n",
       "2                 1.0       NaN       4.0       2.0       NaN       NaN   \n",
       "3                 1.0      31.0       2.0       1.0       1.0       NaN   \n",
       "4                 2.0       1.0       2.0       3.0       1.0       NaN   \n",
       "\n",
       "customer_id  49385418  49386123  49391429  49400049  49400875  49409143  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       3.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       6.0       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  49415555  49430331  49446707  49453167  49463493  49465640  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       3.0       NaN       NaN       NaN       3.0   \n",
       "3                 2.0       NaN       NaN       NaN       NaN       2.0   \n",
       "4                 1.0       NaN       NaN       NaN       NaN       3.0   \n",
       "\n",
       "customer_id  49465841  49475237  49477207  49485813  49486459  49495176  \\\n",
       "num_day                                                                   \n",
       "0                 3.0       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 5.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 1.0       1.0       1.0       NaN       NaN       1.0   \n",
       "4                10.0       3.0       NaN       NaN       NaN       2.0   \n",
       "\n",
       "customer_id  49496212  49500029  49502156  49509133  49522162  49522533  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       7.0       2.0       1.0       1.0   \n",
       "1                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 2.0       NaN       NaN       4.0       1.0       NaN   \n",
       "4                 NaN       NaN       3.0       2.0       NaN       1.0   \n",
       "\n",
       "customer_id  49524835  49530061  49543927  49558902  49561887  49572519  \\\n",
       "num_day                                                                   \n",
       "0                 3.0       NaN       3.0       3.0       NaN       1.0   \n",
       "1                 3.0       NaN       1.0       4.0       1.0       2.0   \n",
       "2                 1.0       NaN       1.0       3.0       NaN       2.0   \n",
       "3                 NaN       NaN       2.0       3.0       NaN       1.0   \n",
       "4                 2.0       NaN       5.0       6.0       NaN       NaN   \n",
       "\n",
       "customer_id  49575501  49578249  49584873  49587865  49592643  49599491  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       4.0       1.0       NaN   \n",
       "1                 2.0       NaN       NaN       NaN       NaN       1.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "\n",
       "customer_id  49600907  49603445  49604034  49604546  49605134  49608669  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       NaN       1.0       NaN   \n",
       "1                 1.0       2.0       NaN       NaN       3.0       NaN   \n",
       "2                 NaN       2.0       NaN       NaN       2.0       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "4                 NaN       1.0       NaN       NaN       3.0       NaN   \n",
       "\n",
       "customer_id  49610845  49618966  49631342  49635827  49637214  49637817  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       1.0       NaN       NaN       1.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "3                 1.0       NaN       NaN       1.0       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  49639155  49639290  49644781  49648180  49648925  49652169  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       4.0       7.0       NaN       1.0   \n",
       "1                 NaN       NaN       4.0       3.0       1.0       3.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       3.0   \n",
       "3                 1.0       2.0       4.0       2.0       NaN      13.0   \n",
       "4                 2.0       NaN       NaN       5.0       NaN       NaN   \n",
       "\n",
       "customer_id  49662300  49663929  49666606  49667378  49672261  49674069  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       1.0       1.0   \n",
       "1                 NaN       NaN       1.0       2.0       NaN       NaN   \n",
       "2                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 1.0       NaN       1.0       NaN       3.0       NaN   \n",
       "4                 NaN       NaN       1.0       NaN       2.0       NaN   \n",
       "\n",
       "customer_id  49682012  49686522  49697655  49704666  49706714  49707389  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       NaN       1.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 1.0       NaN       1.0       1.0       NaN       NaN   \n",
       "3                 1.0       NaN       1.0       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  49714269  49714964  49722314  49724677  49728929  49741231  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       5.0       NaN       NaN   \n",
       "1                 3.0       NaN       NaN       4.0       1.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 1.0       2.0       1.0       2.0       NaN       NaN   \n",
       "4                 NaN       NaN       1.0       2.0       1.0       NaN   \n",
       "\n",
       "customer_id  49749306  49753224  49760703  49770197  49770263  49774928  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       1.0       NaN       NaN   \n",
       "1                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       1.0       4.0       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       4.0       NaN       2.0   \n",
       "4                 NaN       NaN       3.0       2.0       NaN       1.0   \n",
       "\n",
       "customer_id  49787865  49787894  49789613  49815462  49817949  49836853  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       4.0       1.0       7.0       NaN   \n",
       "1                 NaN       2.0       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       1.0       1.0       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "4                 NaN       NaN       2.0       NaN       3.0       NaN   \n",
       "\n",
       "customer_id  49838867  49856670  49857540  49867312  49876918  49876971  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       5.0       NaN       NaN       2.0       NaN   \n",
       "1                 NaN       4.0       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       7.0       NaN       NaN       1.0       NaN   \n",
       "3                 NaN       9.0       NaN       NaN       1.0       NaN   \n",
       "4                 NaN       2.0       NaN       NaN       2.0       NaN   \n",
       "\n",
       "customer_id  49895138  49895677  49903756  49911170  49913122  49913634  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       NaN       3.0       1.0   \n",
       "1                 NaN       NaN       1.0       NaN       4.0       1.0   \n",
       "2                 NaN       NaN       NaN       NaN       7.0       2.0   \n",
       "3                 NaN       NaN       NaN       NaN       5.0       2.0   \n",
       "4                 NaN       NaN       NaN       NaN       9.0       4.0   \n",
       "\n",
       "customer_id  49914960  49917050  49929502  49931217  49933875  49962107  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "1                 2.0       NaN       NaN       NaN       1.0       NaN   \n",
       "2                 1.0       NaN       NaN       NaN       1.0       NaN   \n",
       "3                 3.0       3.0       NaN       NaN       2.0       2.0   \n",
       "4                 4.0       NaN       NaN       NaN       2.0       1.0   \n",
       "\n",
       "customer_id  49971119  49971781  49979298  49980897  49984494  50000543  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "2                 NaN       1.0       NaN       NaN       1.0       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  50009033  50015929  50030112  50032971  50034854  50065075  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       NaN       NaN       2.0   \n",
       "1                 NaN       NaN       NaN       5.0       NaN       2.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "3                 1.0       NaN       1.0       NaN       NaN       1.0   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  50068531  50079853  50081041  50082056  50082887  50089194  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       3.0       NaN       3.0       NaN   \n",
       "1                 NaN       NaN       6.0       NaN       4.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       4.0       NaN   \n",
       "3                 NaN       NaN       1.0       NaN       3.0       NaN   \n",
       "4                 NaN       1.0       5.0       NaN       2.0       NaN   \n",
       "\n",
       "customer_id  50089347  50095077  50098039  50106986  50107404  50107590  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       NaN       NaN       2.0   \n",
       "1                 NaN       NaN       1.0       NaN       1.0       2.0   \n",
       "2                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "3                 2.0       NaN       NaN       1.0       NaN       5.0   \n",
       "4                 NaN       NaN       NaN       3.0       1.0       5.0   \n",
       "\n",
       "customer_id  50116492  50116864  50127267  50128250  50129303  50130368  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       NaN       1.0       NaN   \n",
       "1                 NaN       3.0       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       1.0       NaN       NaN       2.0       NaN   \n",
       "3                 NaN       4.0       1.0       NaN       1.0       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  50143188  50155612  50157498  50167807  50169658  50175498  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "4                 NaN       NaN       NaN       2.0       NaN       1.0   \n",
       "\n",
       "customer_id  50175595  50179294  50183949  50185359  50186683  50188105  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "4                 NaN       1.0       1.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  50188702  50194173  50209827  50211811  50212809  50243089  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  50244445  50246144  50246189  50251185  50281345  50281633  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "1                 1.0       NaN       NaN       1.0       NaN       NaN   \n",
       "2                 2.0       NaN       1.0       NaN       NaN       NaN   \n",
       "3                 1.0       NaN       1.0       3.0       NaN       1.0   \n",
       "4                 1.0       NaN       NaN       1.0       NaN       2.0   \n",
       "\n",
       "customer_id  50303489  50308775  50309844  50324379  50331232  50337369  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       1.0       2.0       NaN   \n",
       "1                 1.0       NaN       NaN       NaN       2.0       NaN   \n",
       "2                 NaN       NaN       1.0       4.0       1.0       NaN   \n",
       "3                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       2.0       2.0       NaN       NaN   \n",
       "\n",
       "customer_id  50339535  50340227  50345259  50350048  50351422  50371871  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       7.0   \n",
       "1                 NaN       NaN       3.0       NaN       NaN       3.0   \n",
       "2                 NaN       NaN       4.0       NaN       NaN       3.0   \n",
       "3                 NaN       NaN       1.0       NaN       NaN       2.0   \n",
       "4                 NaN       NaN       5.0       NaN       NaN       2.0   \n",
       "\n",
       "customer_id  50388916  50389406  50392639  50397574  50399956  50414042  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       NaN       NaN       3.0   \n",
       "1                 6.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       1.0       NaN       4.0   \n",
       "3                 1.0       NaN       NaN       NaN       1.0       3.0   \n",
       "4                 1.0       NaN       NaN       NaN       NaN       7.0   \n",
       "\n",
       "customer_id  50423414  50426364  50446331  50449089  50450948  50452416  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 1.0       6.0       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       2.0       NaN       NaN       NaN       NaN   \n",
       "3                 1.0       3.0       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       1.0       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  50474809  50481996  50489467  50500924  50501881  50502217  \\\n",
       "num_day                                                                   \n",
       "0                 3.0       NaN       NaN       4.0       NaN       NaN   \n",
       "1                 NaN       1.0       1.0       NaN       NaN       NaN   \n",
       "2                 NaN       3.0       NaN       NaN       NaN       NaN   \n",
       "3                 1.0       NaN       1.0       2.0       2.0       NaN   \n",
       "4                 NaN       2.0       2.0       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  50510175  50517114  50530494  50544213  50546311  50548386  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 5.0       NaN       3.0       NaN       NaN       NaN   \n",
       "2                 1.0       2.0       3.0       NaN       NaN       NaN   \n",
       "3                 2.0       1.0       4.0       NaN       NaN       NaN   \n",
       "4                 1.0       NaN       4.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  50559876  50568769  50571226  50594749  50598019  50606306  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       1.0       2.0       NaN       1.0   \n",
       "1                 2.0       NaN       1.0       NaN       NaN       1.0   \n",
       "2                 3.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 2.0       1.0       NaN       6.0       NaN       2.0   \n",
       "4                 NaN       NaN       NaN       4.0       NaN       NaN   \n",
       "\n",
       "customer_id  50611937  50615998  50628612  50647057  50647626  50664842  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  50665246  50667664  50669968  50677956  50682717  50689632  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       NaN       1.0       2.0   \n",
       "1                 NaN       7.0       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       1.0       NaN       NaN       3.0       1.0   \n",
       "4                 NaN       NaN       NaN       NaN       2.0       6.0   \n",
       "\n",
       "customer_id  50706604  50707517  50717991  50718795  50723196  50726996  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       NaN       5.0       NaN   \n",
       "1                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "3                 NaN       NaN       5.0       NaN       1.0       2.0   \n",
       "4                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "\n",
       "customer_id  50734471  50746975  50756711  50756916  50762315  50774566  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       NaN       2.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       3.0       NaN   \n",
       "\n",
       "customer_id  50781023  50790469  50793398  50795482  50796712  50797491  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       5.0       1.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  50799692  50813245  50817066  50825253  50829081  50834253  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       1.0       5.0   \n",
       "3                 NaN       2.0       NaN       NaN       1.0       1.0   \n",
       "4                 2.0       1.0       NaN       NaN       1.0       5.0   \n",
       "\n",
       "customer_id  50846777  50851892  50853691  50859777  50859909  50865469  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       4.0       1.0   \n",
       "1                 2.0       NaN       NaN       2.0       NaN       4.0   \n",
       "2                 1.0       NaN       NaN       8.0       1.0       1.0   \n",
       "3                 NaN       NaN       NaN       8.0       3.0       1.0   \n",
       "4                 NaN       NaN       NaN       3.0       1.0       3.0   \n",
       "\n",
       "customer_id  50869220  50872782  50883761  50885447  50891156  50907611  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       2.0       NaN       1.0       NaN   \n",
       "1                 NaN       2.0       2.0       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       1.0       NaN       3.0       2.0   \n",
       "3                 NaN       1.0       1.0       1.0       1.0       NaN   \n",
       "4                 NaN       2.0       2.0       1.0       1.0       NaN   \n",
       "\n",
       "customer_id  50914567  50921161  50925799  50932485  50935035  50938480  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       NaN       NaN       NaN       2.0   \n",
       "1                 NaN       NaN       NaN       NaN       4.0       1.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       4.0   \n",
       "3                 NaN       NaN       NaN       NaN       1.0       1.0   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  50939708  50946087  50952165  50957338  50959455  50964651  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       5.0       NaN       NaN       NaN       1.0   \n",
       "1                 NaN       8.0       NaN       NaN       NaN       NaN   \n",
       "2                 1.0       1.0       NaN       NaN       NaN       NaN   \n",
       "3                 1.0       8.0       1.0       NaN       NaN       NaN   \n",
       "4                 NaN       5.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  50974750  50985304  50986158  50988636  50996081  51019913  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       3.0       1.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       3.0       NaN       1.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       1.0       NaN       1.0   \n",
       "4                 3.0       NaN       4.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  51025144  51027977  51028881  51038752  51052611  51059596  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "1                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 1.0       3.0       NaN       NaN       NaN       2.0   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       3.0       NaN       NaN       4.0       NaN   \n",
       "\n",
       "customer_id  51070933  51088221  51093437  51099815  51111176  51111196  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       5.0       2.0       NaN       NaN       NaN   \n",
       "1                 NaN       2.0       1.0       2.0       NaN       NaN   \n",
       "2                 NaN       2.0       2.0       2.0       NaN       NaN   \n",
       "3                 NaN       3.0       4.0       5.0       NaN       NaN   \n",
       "4                 NaN       2.0       1.0       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  51115167  51129961  51139844  51147020  51153716  51166609  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       2.0       1.0       NaN       1.0   \n",
       "2                 3.0       NaN       5.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       6.0       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       7.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  51187752  51189320  51204755  51212318  51232716  51241705  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 3.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 6.0       NaN       NaN       1.0       NaN       NaN   \n",
       "4                 1.0       NaN       NaN       2.0       1.0       NaN   \n",
       "\n",
       "customer_id  51257018  51285559  51288726  51299910  51301561  51303175  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       4.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "2                 2.0       4.0       NaN       4.0       NaN       NaN   \n",
       "3                 1.0       NaN       1.0       3.0       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       3.0       1.0       2.0   \n",
       "\n",
       "customer_id  51303724  51314515  51314893  51318217  51324138  51330264  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "2                 1.0       NaN       NaN       NaN       NaN       1.0   \n",
       "3                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "4                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  51333196  51349760  51355051  51358237  51365148  51366752  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       1.0       2.0       1.0   \n",
       "1                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "3                 NaN       2.0       NaN       1.0       1.0       NaN   \n",
       "4                 NaN       NaN       2.0       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  51375674  51392158  51404232  51406373  51413878  51415185  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       NaN       2.0       2.0   \n",
       "1                 1.0       NaN       NaN       NaN       NaN       1.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 2.0       NaN       3.0       NaN       NaN       2.0   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  51425306  51427893  51464163  51468263  51468266  51483897  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       NaN       NaN       1.0   \n",
       "1                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "2                 1.0       2.0       NaN       NaN       1.0       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       5.0   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "\n",
       "customer_id  51487162  51488456  51491644  51494513  51496523  51499900  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       NaN       NaN       1.0   \n",
       "1                 NaN       1.0       NaN       NaN       NaN       1.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       4.0   \n",
       "3                 NaN       2.0       NaN       NaN       NaN       NaN   \n",
       "4                 3.0       NaN       1.0       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  51502229  51519325  51528785  51528903  51543682  51543831  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       2.0       NaN       6.0   \n",
       "2                 NaN       NaN       NaN       2.0       NaN       1.0   \n",
       "3                 1.0       NaN       NaN       2.0       NaN       NaN   \n",
       "4                 2.0       NaN       NaN       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  51549457  51553625  51559141  51568678  51596978  51610137  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "4                 NaN       2.0       NaN       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  51611278  51615730  51619523  51624135  51628161  51639842  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "1                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  51641762  51643659  51643708  51648628  51656161  51680121  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       1.0       NaN       NaN       NaN   \n",
       "1                 NaN       1.0       NaN       1.0       1.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       3.0       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       1.0       2.0       NaN   \n",
       "\n",
       "customer_id  51709620  51718131  51722802  51728818  51734050  51740699  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       4.0       2.0       NaN       NaN       NaN   \n",
       "1                 NaN       2.0       NaN       NaN       1.0       NaN   \n",
       "2                 NaN       NaN       4.0       NaN       NaN       NaN   \n",
       "3                 NaN       2.0       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  51745515  51749542  51768063  51786271  51786443  51787541  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       1.0       1.0       1.0       2.0       NaN   \n",
       "1                 1.0       1.0       NaN       NaN       5.0       NaN   \n",
       "2                 2.0       1.0       NaN       NaN       2.0       NaN   \n",
       "3                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       1.0       1.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  51792398  51797529  51799569  51803334  51820675  51822302  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       3.0       1.0   \n",
       "1                 1.0       NaN       NaN       NaN       3.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       6.0       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "4                 1.0       NaN       NaN       NaN       2.0       NaN   \n",
       "\n",
       "customer_id  51827388  51831793  51838392  51839664  51842514  51845087  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       1.0       1.0       NaN       NaN       NaN   \n",
       "2                 NaN       2.0       5.0       NaN       NaN       NaN   \n",
       "3                 NaN       1.0       3.0       NaN       NaN       NaN   \n",
       "4                 NaN       2.0       2.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  51861640  51879278  51886915  51886931  51890036  51897936  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       2.0       NaN       6.0       NaN   \n",
       "1                 NaN       1.0       5.0       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       1.0       NaN       1.0       NaN   \n",
       "4                 NaN       1.0       NaN       NaN       5.0       NaN   \n",
       "\n",
       "customer_id  51906433  51907756  51920655  51954843  51970128  51982891  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "2                 2.0       NaN       1.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       3.0       NaN   \n",
       "4                 NaN       1.0       NaN       4.0       NaN       NaN   \n",
       "\n",
       "customer_id  51984223  51993392  51998915  52011821  52012871  52014427  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       2.0       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       2.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  52025881  52032698  52043244  52056979  52058205  52060487  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       1.0       NaN       NaN   \n",
       "1                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "3                 NaN       2.0       NaN       2.0       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       3.0       NaN       NaN   \n",
       "\n",
       "customer_id  52078118  52084036  52091338  52097627  52102813  52110711  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       9.0       NaN       2.0       NaN       NaN   \n",
       "1                 NaN       NaN       3.0       1.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN      12.0       NaN       NaN       NaN       2.0   \n",
       "4                 2.0       4.0       NaN       NaN       3.0       1.0   \n",
       "\n",
       "customer_id  52114084  52118643  52118920  52129448  52131601  52161579  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       NaN       2.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       4.0   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       4.0   \n",
       "4                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  52164822  52165266  52167480  52175576  52194263  52198993  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 2.0       NaN       NaN       4.0       NaN       NaN   \n",
       "2                 2.0       NaN       NaN       NaN       2.0       NaN   \n",
       "3                 3.0       NaN       NaN       1.0       NaN       NaN   \n",
       "4                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  52203393  52216376  52217135  52219061  52220754  52227989  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       2.0       4.0       1.0       1.0   \n",
       "1                 2.0       NaN       2.0       5.0       NaN       NaN   \n",
       "2                 1.0       NaN       3.0       3.0       NaN       4.0   \n",
       "3                 NaN       NaN       1.0       3.0       NaN       1.0   \n",
       "4                 2.0       NaN       1.0       1.0      11.0       1.0   \n",
       "\n",
       "customer_id  52228494  52228846  52228883  52244578  52245208  52264373  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       2.0       NaN       1.0       NaN       NaN   \n",
       "1                 NaN       1.0       NaN       5.0       2.0       1.0   \n",
       "2                 NaN       3.0       NaN       3.0       NaN       NaN   \n",
       "3                 NaN       3.0       NaN       1.0       NaN       NaN   \n",
       "4                 1.0       2.0       NaN       4.0       NaN       4.0   \n",
       "\n",
       "customer_id  52265392  52267133  52273929  52275965  52277412  52277872  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 1.0       NaN       NaN       NaN       NaN       2.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 1.0       NaN       NaN       3.0       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  52282240  52282436  52301817  52302940  52326300  52337561  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 3.0       NaN       NaN       4.0       1.0       NaN   \n",
       "2                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "4                 1.0       NaN       NaN       3.0       NaN       NaN   \n",
       "\n",
       "customer_id  52337939  52340213  52344048  52345169  52352880  52354153  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       2.0       NaN       NaN   \n",
       "1                 NaN       1.0       NaN       4.0       1.0       NaN   \n",
       "2                 NaN       1.0       NaN       1.0       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  52358368  52382187  52386241  52388516  52403999  52424807  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       1.0       NaN       NaN       NaN   \n",
       "1                 3.0       NaN       NaN       NaN       1.0       NaN   \n",
       "2                 1.0       NaN       NaN       NaN       NaN       2.0   \n",
       "3                 1.0       NaN       NaN       NaN       1.0       NaN   \n",
       "4                 NaN       NaN       NaN       3.0       1.0       NaN   \n",
       "\n",
       "customer_id  52433000  52436023  52439629  52441398  52444861  52451335  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       1.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       2.0       9.0   \n",
       "2                 1.0       1.0       NaN       NaN       NaN       1.0   \n",
       "3                 1.0       1.0       NaN       NaN       NaN       6.0   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  52457006  52460589  52478008  52482165  52489320  52496612  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       1.0       1.0       NaN   \n",
       "1                 1.0       1.0       NaN       2.0       NaN       NaN   \n",
       "2                 NaN       1.0       NaN       1.0       1.0       NaN   \n",
       "3                 NaN       2.0       1.0       1.0       2.0       1.0   \n",
       "4                 NaN       1.0       NaN       1.0       2.0       NaN   \n",
       "\n",
       "customer_id  52503545  52504826  52513416  52515447  52518753  52518893  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "1                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 2.0       NaN       NaN       NaN       1.0       NaN   \n",
       "3                 3.0       NaN       NaN       NaN       2.0       NaN   \n",
       "4                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  52522078  52531468  52541358  52541686  52549295  52551169  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       3.0       NaN       NaN       NaN       NaN   \n",
       "1                 1.0       6.0       2.0       NaN       NaN       1.0   \n",
       "2                 NaN       2.0       NaN       NaN       NaN       NaN   \n",
       "3                 1.0       2.0       1.0       NaN       NaN       1.0   \n",
       "4                 NaN       2.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  52560289  52562263  52575122  52586875  52588558  52591439  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       4.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       3.0       NaN       NaN   \n",
       "3                 NaN       1.0       NaN       4.0       NaN       NaN   \n",
       "4                 NaN       1.0       NaN       2.0       NaN       NaN   \n",
       "\n",
       "customer_id  52594600  52597818  52612001  52616100  52617099  52621710  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       3.0       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 5.0       NaN       1.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  52623227  52628322  52636150  52639072  52646727  52653471  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       2.0       NaN       NaN       NaN       2.0   \n",
       "1                 NaN       NaN       NaN       NaN       3.0       NaN   \n",
       "2                 NaN       NaN       NaN       1.0       2.0       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       3.0   \n",
       "4                 NaN       1.0       NaN       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  52658741  52659936  52660827  52662094  52665452  52674999  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       2.0       1.0       NaN       NaN       1.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 1.0       1.0       1.0       NaN       NaN       1.0   \n",
       "3                 NaN       3.0       NaN       3.0       1.0       1.0   \n",
       "4                 1.0       1.0       1.0       3.0       4.0       1.0   \n",
       "\n",
       "customer_id  52676003  52676628  52685147  52701647  52708285  52712832  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       2.0       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       1.0       NaN       1.0       NaN       NaN   \n",
       "2                 NaN       2.0       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       3.0       2.0       NaN       NaN   \n",
       "4                 NaN       NaN       2.0       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  52730916  52731798  52740417  52741895  52742755  52749529  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       NaN       NaN       4.0   \n",
       "1                 NaN       NaN       2.0       NaN       1.0       1.0   \n",
       "2                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "3                 NaN       NaN       3.0       NaN       1.0       3.0   \n",
       "4                 2.0       1.0       NaN       NaN       1.0       1.0   \n",
       "\n",
       "customer_id  52771053  52774763  52787907  52802973  52808914  52823541  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       1.0       1.0   \n",
       "1                 NaN       3.0       NaN       NaN       1.0       1.0   \n",
       "2                 2.0       NaN       NaN       NaN       5.0       NaN   \n",
       "3                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  52830129  52840860  52846368  52847004  52856344  52859730  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       2.0       NaN       3.0       2.0   \n",
       "1                 NaN       NaN       1.0       4.0       1.0       NaN   \n",
       "2                 1.0       NaN       3.0       6.0       3.0       3.0   \n",
       "3                 1.0       NaN       NaN      10.0       NaN       1.0   \n",
       "4                 3.0       NaN       2.0       5.0       1.0       1.0   \n",
       "\n",
       "customer_id  52864373  52866075  52871849  52872013  52874920  52884677  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       3.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  52886082  52889445  52900428  52910636  52912415  52912963  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       NaN       5.0       1.0   \n",
       "1                 1.0       NaN       NaN       1.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       3.0       1.0       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       1.0       1.0   \n",
       "4                 NaN       NaN       NaN       3.0       NaN       1.0   \n",
       "\n",
       "customer_id  52920077  52929977  52931764  52942037  52950663  52973391  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       2.0       1.0       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       2.0       NaN       NaN       3.0   \n",
       "2                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 3.0       2.0       4.0       NaN       NaN       NaN   \n",
       "4                 1.0       2.0       NaN       NaN       NaN       4.0   \n",
       "\n",
       "customer_id  52976855  52989826  52999771  53010322  53040376  53042935  \\\n",
       "num_day                                                                   \n",
       "0                 4.0       NaN       NaN       NaN       2.0       NaN   \n",
       "1                 1.0       NaN       NaN       NaN       1.0       1.0   \n",
       "2                 1.0       NaN       NaN       NaN       1.0       NaN   \n",
       "3                 1.0       2.0       NaN       NaN       1.0       1.0   \n",
       "4                 1.0       5.0       NaN       NaN       5.0       2.0   \n",
       "\n",
       "customer_id  53053662  53056498  53059491  53084290  53084435  53089550  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       1.0       NaN       6.0   \n",
       "1                 NaN       NaN       NaN       3.0       NaN       4.0   \n",
       "2                 NaN       NaN       NaN       2.0       NaN       3.0   \n",
       "3                 1.0       1.0       NaN       1.0       NaN       2.0   \n",
       "4                 NaN       1.0       NaN       NaN       NaN       2.0   \n",
       "\n",
       "customer_id  53092510  53094781  53095860  53099781  53105363  53120025  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       1.0       3.0   \n",
       "1                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  53131093  53135497  53137982  53141110  53158342  53167255  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "3                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       1.0       5.0       NaN   \n",
       "\n",
       "customer_id  53173484  53194608  53198559  53198762  53205452  53210255  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "1                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "3                 2.0       NaN       1.0       NaN       NaN       NaN   \n",
       "4                 NaN       2.0       1.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  53218858  53220188  53228982  53232417  53239875  53245434  \\\n",
       "num_day                                                                   \n",
       "0                 3.0       2.0       1.0       NaN       NaN       3.0   \n",
       "1                 NaN       NaN       1.0       NaN       1.0       NaN   \n",
       "2                 NaN       NaN       NaN       2.0       NaN       1.0   \n",
       "3                 NaN       1.0       1.0       1.0       NaN       1.0   \n",
       "4                 NaN       NaN       NaN       1.0       2.0       3.0   \n",
       "\n",
       "customer_id  53253983  53268052  53270690  53275229  53281050  53290104  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       3.0       1.0   \n",
       "1                 2.0       NaN       NaN       NaN       NaN       4.0   \n",
       "2                 NaN       NaN       NaN       NaN       1.0       2.0   \n",
       "3                 NaN       NaN       4.0       1.0       NaN       NaN   \n",
       "4                 1.0       NaN       NaN       NaN       3.0      10.0   \n",
       "\n",
       "customer_id  53296243  53296399  53301400  53307951  53321767  53335617  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 1.0       NaN       1.0       NaN       NaN       1.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       1.0       1.0       NaN       NaN       1.0   \n",
       "4                 3.0       NaN       NaN       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  53336431  53340705  53342458  53355085  53361712  53371667  \\\n",
       "num_day                                                                   \n",
       "0                 5.0       1.0       NaN       4.0       1.0       NaN   \n",
       "1                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       3.0       NaN       1.0   \n",
       "3                 NaN       NaN       NaN       7.0       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  53393963  53397421  53406614  53410208  53411904  53418806  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       NaN       NaN       1.0   \n",
       "1                 NaN       2.0       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       2.0       1.0       NaN       NaN       3.0   \n",
       "3                 NaN       1.0       NaN       NaN       NaN       1.0   \n",
       "4                 NaN       1.0       3.0       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  53423439  53426018  53430793  53436966  53443876  53455317  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  53456419  53456653  53468179  53470175  53470814  53477202  \\\n",
       "num_day                                                                   \n",
       "0                 3.0       NaN       2.0       NaN       NaN       NaN   \n",
       "1                 3.0       NaN       NaN       NaN       NaN       1.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "3                 NaN       NaN       NaN       NaN       1.0       1.0   \n",
       "4                 NaN       NaN       1.0       NaN       2.0       1.0   \n",
       "\n",
       "customer_id  53492952  53495460  53503199  53522229  53523819  53528212  \\\n",
       "num_day                                                                   \n",
       "0                 4.0       2.0       NaN       1.0       7.0       1.0   \n",
       "1                 4.0       2.0       1.0       NaN       1.0       NaN   \n",
       "2                 NaN       1.0       NaN       NaN       5.0       1.0   \n",
       "3                 3.0       NaN       NaN       NaN       2.0       NaN   \n",
       "4                 2.0       NaN       NaN       NaN       3.0       NaN   \n",
       "\n",
       "customer_id  53543155  53545689  53551644  53554577  53556576  53560753  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       1.0       3.0       NaN       1.0       NaN   \n",
       "1                 NaN       4.0       1.0       NaN       1.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "3                 1.0       3.0       1.0       NaN       NaN       1.0   \n",
       "4                 1.0       1.0       NaN       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  53561226  53566215  53571593  53576233  53589977  53591955  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       3.0       1.0       NaN       NaN   \n",
       "1                 NaN       2.0       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       3.0       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  53594805  53602656  53602776  53610753  53611444  53612534  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       2.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       1.0       NaN       2.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       2.0       NaN       2.0   \n",
       "4                 NaN       1.0       NaN       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  53624598  53627743  53640363  53645677  53649415  53653672  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       2.0       2.0       NaN       NaN       NaN   \n",
       "1                 NaN       1.0       8.0       NaN       NaN       NaN   \n",
       "2                 NaN       1.0       3.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       4.0       NaN       NaN       NaN   \n",
       "4                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  53676879  53683015  53683044  53689693  53690172  53695543  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       3.0       NaN       NaN       1.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       4.0   \n",
       "\n",
       "customer_id  53696635  53701818  53708094  53742244  53748811  53749859  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       2.0       NaN       NaN       2.0       4.0   \n",
       "1                 3.0       3.0       NaN       NaN       1.0       1.0   \n",
       "2                 NaN       1.0       6.0       NaN       7.0       NaN   \n",
       "3                 NaN       1.0       NaN       NaN       1.0       3.0   \n",
       "4                 1.0       NaN       NaN       NaN       5.0       1.0   \n",
       "\n",
       "customer_id  53754591  53755004  53766369  53767250  53768625  53774994  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       1.0       NaN       1.0       NaN       1.0   \n",
       "1                 1.0       NaN       1.0       1.0       NaN       1.0   \n",
       "2                 4.0       1.0       3.0       1.0       NaN       NaN   \n",
       "3                 1.0       1.0       NaN       2.0       NaN       NaN   \n",
       "4                 NaN       1.0       NaN       3.0       NaN       NaN   \n",
       "\n",
       "customer_id  53776320  53779441  53780419  53781809  53793243  53794818  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       1.0       3.0       2.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       2.0       3.0       NaN   \n",
       "4                 NaN       4.0       NaN       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  53796916  53799749  53800437  53815150  53817387  53818229  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       1.0       NaN       NaN       1.0   \n",
       "1                 2.0       NaN       1.0       NaN       NaN       1.0   \n",
       "2                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 2.0       NaN       NaN       NaN       NaN       2.0   \n",
       "4                 1.0       NaN       NaN       NaN       NaN       2.0   \n",
       "\n",
       "customer_id  53832869  53839754  53840744  53847866  53848566  53850584  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       3.0       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       3.0       NaN   \n",
       "\n",
       "customer_id  53854864  53876581  53882112  53883700  53886935  53889389  \\\n",
       "num_day                                                                   \n",
       "0                32.0       3.0       NaN       2.0       NaN       NaN   \n",
       "1                16.0       1.0       2.0       NaN       NaN       NaN   \n",
       "2                 7.0       1.0       3.0       NaN       NaN       NaN   \n",
       "3                16.0       2.0       1.0       NaN       NaN       1.0   \n",
       "4                25.0       4.0       NaN       1.0       NaN       1.0   \n",
       "\n",
       "customer_id  53889704  53900195  53901395  53907029  53922199  53923485  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       2.0       NaN       NaN       1.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  53928953  53929554  53930440  53931678  53937108  53938226  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "3                 1.0       6.0       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  53947351  53969420  53972911  53979285  53983155  54002443  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       1.0       NaN       NaN       1.0   \n",
       "1                 2.0       1.0       2.0       NaN       2.0       NaN   \n",
       "2                 NaN       NaN       1.0       NaN       4.0       NaN   \n",
       "3                 2.0       1.0       NaN       NaN       4.0       NaN   \n",
       "4                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  54007135  54007895  54017209  54022699  54029679  54047312  \\\n",
       "num_day                                                                   \n",
       "0                 3.0       2.0       NaN       NaN       NaN       NaN   \n",
       "1                 2.0       3.0       NaN       NaN       2.0       NaN   \n",
       "2                 NaN       2.0       NaN       NaN       NaN       NaN   \n",
       "3                 2.0       1.0       NaN       NaN       NaN       4.0   \n",
       "4                 2.0       NaN       NaN       3.0       NaN       NaN   \n",
       "\n",
       "customer_id  54053900  54063746  54064417  54070232  54083072  54083546  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       5.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       6.0   \n",
       "3                 1.0       NaN       NaN       NaN       NaN       2.0   \n",
       "4                 1.0       NaN       NaN       NaN       2.0       3.0   \n",
       "\n",
       "customer_id  54086500  54096213  54113876  54115697  54120270  54129921  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       2.0       NaN       NaN       NaN   \n",
       "1                 1.0       NaN       NaN       NaN       NaN       5.0   \n",
       "2                 9.0       NaN       NaN       2.0       NaN       1.0   \n",
       "3                 2.0       1.0       1.0       1.0       NaN       NaN   \n",
       "4                 4.0       2.0       2.0       2.0       NaN       1.0   \n",
       "\n",
       "customer_id  54130102  54130460  54138582  54152743  54161169  54163999  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       NaN       1.0       NaN   \n",
       "1                 NaN       NaN       NaN       1.0       NaN       1.0   \n",
       "2                 NaN       NaN       2.0       NaN       NaN       6.0   \n",
       "3                 NaN       NaN       2.0       NaN       2.0       3.0   \n",
       "4                 NaN       NaN       1.0       NaN       NaN       7.0   \n",
       "\n",
       "customer_id  54165779  54172427  54177701  54180380  54183215  54185672  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "1                 NaN       NaN       NaN       1.0       NaN       3.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "\n",
       "customer_id  54186907  54199565  54209192  54217162  54217274  54236542  \\\n",
       "num_day                                                                   \n",
       "0                 4.0       NaN       NaN       2.0       2.0       1.0   \n",
       "1                 3.0       1.0       NaN       NaN       1.0       2.0   \n",
       "2                 4.0       NaN       1.0       NaN       NaN       NaN   \n",
       "3                 1.0       NaN       NaN       3.0       NaN       1.0   \n",
       "4                 5.0       1.0       NaN       3.0       NaN       4.0   \n",
       "\n",
       "customer_id  54242501  54244935  54246151  54250589  54250959  54268135  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 4.0       NaN       NaN       2.0       NaN       NaN   \n",
       "2                 1.0       NaN       NaN       NaN       1.0       NaN   \n",
       "3                 4.0       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 3.0       NaN       2.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  54271008  54281801  54305536  54313259  54326193  54339143  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       NaN       NaN       2.0   \n",
       "1                 NaN       9.0       1.0       2.0       NaN       NaN   \n",
       "2                 NaN       5.0       1.0       NaN       NaN       NaN   \n",
       "3                 5.0       NaN       NaN       NaN       1.0       NaN   \n",
       "4                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "\n",
       "customer_id  54340304  54365767  54372264  54372604  54373394  54378637  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       NaN       2.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "3                 1.0       NaN       NaN       NaN       5.0       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       4.0       NaN   \n",
       "\n",
       "customer_id  54391761  54394198  54397214  54403710  54410582  54418606  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       NaN       1.0       2.0   \n",
       "1                 1.0       NaN       1.0       NaN       1.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       1.0       NaN       1.0       1.0   \n",
       "4                 1.0       NaN       NaN       2.0       1.0       NaN   \n",
       "\n",
       "customer_id  54421340  54424754  54431925  54433534  54436720  54439107  \\\n",
       "num_day                                                                   \n",
       "0                 3.0       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 1.0       1.0       NaN       NaN       NaN       NaN   \n",
       "2                 1.0       2.0       NaN       NaN       NaN       NaN   \n",
       "3                 3.0       1.0       NaN       NaN       2.0       NaN   \n",
       "4                 6.0       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  54439127  54441407  54445476  54460104  54485932  54491451  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       2.0      11.0       NaN       5.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       4.0       NaN   \n",
       "2                 NaN       NaN       4.0       NaN       4.0       NaN   \n",
       "3                 NaN       NaN       5.0       NaN       5.0       NaN   \n",
       "4                 NaN       2.0       5.0       NaN       7.0       NaN   \n",
       "\n",
       "customer_id  54501045  54504035  54510549  54513531  54517796  54518053  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       2.0       NaN       2.0       3.0   \n",
       "1                 1.0       NaN       1.0       NaN       NaN       2.0   \n",
       "2                 NaN       NaN       1.0       NaN       NaN       5.0   \n",
       "3                 1.0       NaN       NaN       NaN       NaN       2.0   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       3.0   \n",
       "\n",
       "customer_id  54520189  54522584  54530288  54536278  54539271  54549909  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "1                 NaN       2.0       1.0       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "4                 NaN       2.0       NaN       2.0       NaN       1.0   \n",
       "\n",
       "customer_id  54555974  54584863  54593643  54611490  54636579  54645432  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       NaN       2.0       2.0   \n",
       "1                 NaN       1.0       3.0       NaN       NaN       3.0   \n",
       "2                 NaN       1.0       NaN       NaN       1.0       1.0   \n",
       "3                 NaN       4.0       2.0       NaN       NaN       1.0   \n",
       "4                 1.0       NaN       NaN       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  54651306  54659930  54669253  54677927  54678951  54712278  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       NaN       2.0       NaN   \n",
       "1                 NaN       NaN       NaN       4.0       NaN       NaN   \n",
       "2                 2.0       2.0       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       1.0       NaN       1.0       NaN   \n",
       "4                 2.0       NaN       NaN       NaN       2.0       NaN   \n",
       "\n",
       "customer_id  54721273  54723442  54725546  54729297  54737892  54740363  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       1.0       1.0       NaN       NaN   \n",
       "1                 1.0       NaN       NaN       2.0       2.0       NaN   \n",
       "2                 1.0       NaN       NaN       1.0       NaN       NaN   \n",
       "3                 NaN       NaN       1.0       3.0       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  54741237  54749969  54759922  54760611  54771356  54779436  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 2.0       NaN       NaN       2.0       NaN       NaN   \n",
       "2                 3.0       NaN       NaN       1.0       NaN       NaN   \n",
       "3                 2.0       NaN       NaN       1.0       NaN       NaN   \n",
       "4                 8.0       NaN       1.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  54781719  54783576  54786851  54809595  54821290  54825867  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       2.0       NaN       1.0       NaN       NaN   \n",
       "1                 NaN       1.0       NaN       3.0       3.0       NaN   \n",
       "2                 NaN       NaN       NaN       1.0       NaN       1.0   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "4                 NaN       NaN       NaN       1.0       2.0       NaN   \n",
       "\n",
       "customer_id  54825984  54827084  54840306  54851979  54856133  54862658  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "1                 NaN       NaN       4.0       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "3                 NaN       NaN       NaN       3.0       NaN       NaN   \n",
       "4                 NaN       NaN       5.0       3.0       NaN       3.0   \n",
       "\n",
       "customer_id  54871257  54871418  54887447  54888680  54889824  54890147  \\\n",
       "num_day                                                                   \n",
       "0                 5.0       2.0       NaN       NaN       2.0       2.0   \n",
       "1                 6.0       1.0       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       3.0       NaN       NaN       NaN       3.0   \n",
       "3                 2.0       2.0       NaN       NaN       2.0       1.0   \n",
       "4                 7.0       4.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  54891333  54892632  54916897  54920864  54921924  54933571  \\\n",
       "num_day                                                                   \n",
       "0                 3.0       NaN       4.0       2.0       NaN       NaN   \n",
       "1                 7.0       2.0       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       1.0       1.0       NaN   \n",
       "3                 6.0       3.0       NaN       8.0       NaN       2.0   \n",
       "4                 NaN       5.0       5.0       1.0       1.0       NaN   \n",
       "\n",
       "customer_id  54962601  54964210  54978125  54980632  54982271  54982898  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       4.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       5.0       NaN       NaN   \n",
       "2                 NaN       NaN       2.0       1.0       NaN       NaN   \n",
       "3                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "4                 NaN       2.0       3.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  54993223  54998640  54999489  55003434  55004652  55013765  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       NaN       1.0       1.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "4                 NaN       NaN       NaN       1.0       2.0       NaN   \n",
       "\n",
       "customer_id  55035599  55035689  55038839  55040277  55045775  55046733  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       NaN       7.0       NaN   \n",
       "1                 NaN       NaN       1.0       NaN       2.0       NaN   \n",
       "2                 3.0       NaN       2.0       NaN       4.0       NaN   \n",
       "3                 4.0       NaN       1.0       NaN       2.0       NaN   \n",
       "4                 4.0       NaN       1.0       NaN       3.0       NaN   \n",
       "\n",
       "customer_id  55047220  55048771  55049025  55065582  55073384  55076114  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       1.0       NaN       NaN       NaN   \n",
       "1                 NaN       1.0       1.0       NaN       NaN       1.0   \n",
       "2                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "3                 NaN       1.0       1.0       NaN       NaN       5.0   \n",
       "4                 NaN       NaN       1.0       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  55083943  55086769  55086907  55088715  55106423  55108009  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  55115986  55116419  55118231  55128348  55137023  55144070  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       NaN       6.0       3.0   \n",
       "1                 2.0       NaN       NaN       1.0       NaN       3.0   \n",
       "2                 1.0       NaN       NaN       1.0       1.0       NaN   \n",
       "3                 1.0       NaN       NaN       1.0       2.0       NaN   \n",
       "4                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  55155107  55155321  55156362  55173912  55185794  55192578  \\\n",
       "num_day                                                                   \n",
       "0                 5.0       NaN       1.0       NaN       NaN       1.0   \n",
       "1                 3.0       NaN       NaN       NaN       NaN       2.0   \n",
       "2                 2.0       NaN       2.0       NaN       NaN       NaN   \n",
       "3                 3.0       NaN       NaN       1.0       NaN       2.0   \n",
       "4                 2.0       NaN       NaN       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  55199234  55200262  55201931  55221263  55231038  55234961  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       3.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  55236314  55237182  55241651  55241935  55251709  55253976  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       3.0       NaN       1.0       3.0       NaN   \n",
       "1                 NaN       1.0       NaN       NaN       4.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "3                 NaN       1.0       NaN       4.0       2.0       NaN   \n",
       "4                 NaN       NaN       NaN       1.0       1.0       1.0   \n",
       "\n",
       "customer_id  55262942  55271010  55272630  55277921  55301181  55302990  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       1.0       5.0       NaN   \n",
       "1                 5.0       NaN       1.0       NaN       1.0       1.0   \n",
       "2                 1.0       NaN       1.0       3.0       6.0       2.0   \n",
       "3                 NaN       NaN       1.0       NaN       6.0       NaN   \n",
       "4                 3.0       NaN       1.0       1.0       2.0       1.0   \n",
       "\n",
       "customer_id  55316382  55318991  55326928  55336329  55342159  55343396  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       NaN       2.0       NaN   \n",
       "1                 NaN       NaN       4.0       NaN       6.0       NaN   \n",
       "2                 NaN       NaN       3.0       NaN       4.0       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "4                 NaN       NaN       7.0       NaN       2.0       1.0   \n",
       "\n",
       "customer_id  55352054  55357207  55358788  55369363  55370884  55373427  \\\n",
       "num_day                                                                   \n",
       "0                 4.0       NaN       NaN       NaN       1.0       1.0   \n",
       "1                 1.0       1.0       NaN       4.0       1.0       NaN   \n",
       "2                 2.0       NaN       NaN       NaN       1.0       NaN   \n",
       "3                 1.0       NaN       2.0       NaN       2.0       1.0   \n",
       "4                 2.0       NaN       3.0       2.0       NaN       1.0   \n",
       "\n",
       "customer_id  55375985  55388140  55388963  55392310  55415375  55418175  \\\n",
       "num_day                                                                   \n",
       "0                 6.0       NaN       NaN       1.0       3.0       NaN   \n",
       "1                 5.0       NaN       NaN       2.0       NaN       NaN   \n",
       "2                11.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 6.0       NaN       NaN       1.0       2.0       4.0   \n",
       "4                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  55444022  55451710  55454267  55455058  55474607  55477562  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  55483265  55499341  55503382  55503498  55506779  55514131  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 3.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 3.0       NaN       NaN       NaN       NaN       1.0   \n",
       "4                 1.0       NaN       NaN       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  55515806  55516258  55526835  55529265  55530412  55534785  \\\n",
       "num_day                                                                   \n",
       "0                 3.0       3.0       NaN       4.0       1.0       NaN   \n",
       "1                 NaN       2.0       NaN      11.0       NaN       NaN   \n",
       "2                 NaN       2.0       NaN       NaN       2.0       NaN   \n",
       "3                 3.0       1.0       NaN       1.0       NaN       NaN   \n",
       "4                 5.0       4.0       NaN       1.0       1.0       NaN   \n",
       "\n",
       "customer_id  55538514  55541324  55547169  55552772  55575472  55586299  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       NaN       2.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       2.0       1.0       2.0       NaN   \n",
       "4                 NaN       NaN       1.0       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  55587376  55607364  55609842  55651106  55652847  55665294  \\\n",
       "num_day                                                                   \n",
       "0                 4.0       1.0       NaN       2.0      15.0       1.0   \n",
       "1                 4.0       NaN       1.0       1.0       1.0       2.0   \n",
       "2                 2.0       1.0       1.0       1.0       NaN      10.0   \n",
       "3                 3.0       7.0       NaN       2.0       NaN      11.0   \n",
       "4                 3.0       NaN       NaN       1.0      16.0       4.0   \n",
       "\n",
       "customer_id  55666298  55674097  55675702  55691138  55703722  55705601  \\\n",
       "num_day                                                                   \n",
       "0                 3.0       1.0       NaN       1.0       1.0       1.0   \n",
       "1                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "2                 2.0       NaN       1.0       NaN       4.0       1.0   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "4                 2.0       NaN       NaN       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  55707532  55708924  55712183  55713164  55715208  55721022  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "1                 NaN       NaN       NaN       1.0       NaN       1.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "3                 NaN       1.0       NaN       NaN       NaN       1.0   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  55726098  55726430  55732447  55732914  55738677  55746723  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       2.0       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  55756474  55762156  55772150  55774120  55775954  55785327  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       2.0       2.0       3.0       4.0       NaN   \n",
       "1                 2.0       NaN       1.0       NaN       1.0       NaN   \n",
       "2                 NaN       NaN       2.0       3.0       2.0       NaN   \n",
       "3                 1.0       2.0       1.0       1.0       NaN       NaN   \n",
       "4                 NaN       1.0       4.0       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  55793767  55799185  55800752  55803006  55804409  55806303  \\\n",
       "num_day                                                                   \n",
       "0                 7.0       NaN       NaN       NaN       1.0       NaN   \n",
       "1                 3.0       NaN       1.0       NaN       NaN       NaN   \n",
       "2                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       1.0       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  55833430  55837388  55838594  55843641  55846338  55860979  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       4.0       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       5.0       NaN   \n",
       "2                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       2.0       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       3.0       NaN   \n",
       "\n",
       "customer_id  55864383  55875274  55878885  55906283  55913070  55919477  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "\n",
       "customer_id  55921047  55922972  55923386  55943826  55961571  55970380  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       2.0       5.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       1.0       2.0   \n",
       "4                 NaN       NaN       NaN       1.0       1.0       1.0   \n",
       "\n",
       "customer_id  55974429  55988942  55995250  55996916  56000334  56000545  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       3.0       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       1.0       2.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       2.0       3.0       NaN   \n",
       "3                 1.0       NaN       3.0       2.0       2.0       4.0   \n",
       "4                 2.0       NaN       1.0       5.0       3.0       NaN   \n",
       "\n",
       "customer_id  56006743  56012853  56016545  56017905  56019414  56019765  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       2.0       NaN       NaN       2.0   \n",
       "1                 NaN       NaN       1.0       1.0       1.0       2.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "3                 1.0       NaN       1.0       NaN       NaN       1.0   \n",
       "4                 NaN       NaN       NaN       1.0       NaN       3.0   \n",
       "\n",
       "customer_id  56025523  56049007  56053006  56075018  56086567  56093439  \\\n",
       "num_day                                                                   \n",
       "0                 NaN      13.0       5.0       NaN       NaN       NaN   \n",
       "1                 1.0       6.0       4.0       2.0       1.0       1.0   \n",
       "2                 NaN       2.0       2.0       1.0       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "4                 NaN       NaN       NaN       NaN       1.0       7.0   \n",
       "\n",
       "customer_id  56101679  56109533  56129260  56133719  56143504  56146979  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       3.0       4.0       NaN       NaN       NaN   \n",
       "1                 NaN       2.0       1.0       NaN       3.0       NaN   \n",
       "2                 NaN       NaN       4.0       NaN       1.0       NaN   \n",
       "3                 2.0       NaN       3.0       NaN       NaN       NaN   \n",
       "4                 NaN       1.0       1.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  56152331  56158977  56159156  56159176  56167905  56178851  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       1.0       1.0       NaN       NaN       2.0   \n",
       "2                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       3.0       NaN       2.0   \n",
       "\n",
       "customer_id  56179132  56182602  56187152  56196393  56198812  56198813  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       1.0       2.0       NaN       3.0   \n",
       "1                 2.0       NaN       NaN       NaN       NaN       9.0   \n",
       "2                 1.0       NaN       NaN       NaN       NaN       1.0   \n",
       "3                 1.0       NaN       NaN       NaN       NaN       1.0   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       5.0   \n",
       "\n",
       "customer_id  56213640  56215561  56218066  56220704  56224368  56228080  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       5.0       NaN       NaN   \n",
       "1                 NaN       1.0       NaN       2.0       NaN       NaN   \n",
       "2                 1.0       1.0       NaN       1.0       NaN       1.0   \n",
       "3                 NaN       NaN       NaN       6.0       4.0       1.0   \n",
       "4                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  56243418  56269584  56282562  56284357  56308717  56309305  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       1.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  56313233  56315843  56327367  56338669  56342135  56343077  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       3.0       NaN       NaN       NaN       2.0   \n",
       "1                 1.0       1.0       NaN       NaN       NaN       NaN   \n",
       "2                 1.0       3.0       NaN       NaN       NaN       4.0   \n",
       "3                 4.0       2.0       NaN       8.0       NaN       1.0   \n",
       "4                 NaN       1.0       NaN       2.0       NaN       NaN   \n",
       "\n",
       "customer_id  56353574  56356110  56369187  56374882  56387802  56389592  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "4                 NaN       NaN       4.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  56404702  56406465  56410727  56419413  56420052  56420502  \\\n",
       "num_day                                                                   \n",
       "0                15.0       NaN       NaN       NaN       NaN       1.0   \n",
       "1                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 1.0       NaN       NaN       NaN       1.0       2.0   \n",
       "3                 5.0       NaN       NaN       NaN       3.0       2.0   \n",
       "4                 7.0       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  56420506  56422922  56434531  56436494  56439236  56454954  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       4.0       NaN       1.0       3.0       NaN   \n",
       "1                 2.0       2.0       NaN       2.0       NaN       NaN   \n",
       "2                 NaN       4.0       NaN       2.0       1.0       NaN   \n",
       "3                 NaN       NaN       1.0       1.0       2.0       NaN   \n",
       "4                 1.0       1.0       NaN       1.0       3.0       NaN   \n",
       "\n",
       "customer_id  56455029  56485020  56486360  56490839  56496020  56515142  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       2.0       1.0       1.0       NaN       2.0   \n",
       "1                 NaN       NaN       2.0       2.0       NaN       NaN   \n",
       "2                 1.0       NaN       NaN       NaN       NaN       1.0   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       3.0   \n",
       "4                 NaN       NaN       NaN       2.0       2.0       1.0   \n",
       "\n",
       "customer_id  56519127  56538073  56547663  56565030  56570145  56576080  \\\n",
       "num_day                                                                   \n",
       "0                 5.0       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 2.0       1.0       1.0       1.0       NaN       NaN   \n",
       "2                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 7.0       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  56578583  56579877  56587321  56589562  56600804  56601597  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       4.0       1.0       NaN       NaN   \n",
       "1                 NaN       NaN       1.0       NaN       1.0       NaN   \n",
       "2                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       3.0       3.0       NaN       1.0   \n",
       "4                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "\n",
       "customer_id  56606308  56606368  56621830  56621899  56630485  56636675  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       NaN       NaN       1.0   \n",
       "1                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "2                 NaN       1.0       NaN       2.0       NaN       2.0   \n",
       "3                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  56637665  56639375  56654346  56661668  56661848  56662163  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       3.0       NaN   \n",
       "1                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       1.0       3.0       NaN   \n",
       "3                 5.0       NaN       1.0       NaN       3.0       NaN   \n",
       "4                 NaN       NaN       4.0       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  56680038  56680782  56681140  56687390  56694753  56697757  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       2.0       NaN       1.0       8.0       NaN   \n",
       "1                 NaN       NaN       NaN       1.0       7.0       NaN   \n",
       "2                 1.0       2.0       NaN       1.0       5.0       NaN   \n",
       "3                 4.0       NaN       NaN       NaN       6.0       NaN   \n",
       "4                 NaN       NaN       NaN       5.0       5.0       NaN   \n",
       "\n",
       "customer_id  56698049  56709831  56734262  56743802  56746360  56755639  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       2.0       1.0       NaN       NaN   \n",
       "1                 NaN       1.0       NaN       1.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       1.0       NaN       2.0       1.0       NaN   \n",
       "\n",
       "customer_id  56757226  56763587  56763905  56783348  56783691  56786565  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "1                 NaN       NaN       NaN       1.0       1.0       NaN   \n",
       "2                 NaN       NaN       NaN       4.0       3.0       NaN   \n",
       "3                 NaN       NaN       NaN       2.0       1.0       NaN   \n",
       "4                 7.0       NaN       NaN       NaN       3.0       NaN   \n",
       "\n",
       "customer_id  56794966  56801281  56816315  56818375  56820772  56840048  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       1.0       NaN       1.0       NaN       NaN   \n",
       "1                 1.0       NaN       2.0       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "3                 1.0       2.0       1.0       1.0       NaN       NaN   \n",
       "4                 3.0       NaN       NaN       2.0       NaN       NaN   \n",
       "\n",
       "customer_id  56843890  56879277  56887029  56896548  56900745  56902795  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "1                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       2.0       1.0       1.0       NaN       1.0   \n",
       "4                 1.0       6.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  56912272  56917053  56917927  56920877  56936197  56937730  \\\n",
       "num_day                                                                   \n",
       "0                 5.0       1.0       1.0       NaN       2.0       NaN   \n",
       "1                 NaN       3.0       1.0       1.0       NaN       NaN   \n",
       "2                 1.0       1.0       NaN       NaN       2.0       NaN   \n",
       "3                 1.0       1.0       2.0       1.0       1.0       NaN   \n",
       "4                 1.0       3.0       1.0       1.0       2.0       NaN   \n",
       "\n",
       "customer_id  56939523  56957993  56969603  56974053  56980102  56982294  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       8.0       5.0       NaN       7.0   \n",
       "1                 NaN       NaN       2.0       NaN       1.0       4.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "3                 NaN       NaN       3.0       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  56982439  56988646  56999759  57006070  57035618  57042441  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       1.0       1.0       NaN       NaN   \n",
       "1                 4.0       NaN       NaN       3.0       1.0       NaN   \n",
       "2                 NaN       NaN       2.0       NaN       3.0       NaN   \n",
       "3                 NaN       1.0       1.0       NaN       4.0       NaN   \n",
       "4                 NaN       2.0       3.0       2.0       1.0       NaN   \n",
       "\n",
       "customer_id  57042753  57045393  57050358  57052980  57069387  57070076  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "1                 1.0       NaN       NaN       1.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "4                 2.0       NaN       NaN       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  57083713  57097583  57112910  57114416  57124290  57126993  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       1.0       NaN       1.0       2.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       1.0       NaN       3.0       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  57139036  57153147  57154397  57155985  57161466  57163214  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       2.0       1.0       NaN   \n",
       "1                 NaN       NaN       1.0       1.0       NaN       1.0   \n",
       "2                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       3.0       1.0   \n",
       "\n",
       "customer_id  57192854  57193714  57195308  57205746  57206593  57210145  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       3.0       NaN       4.0       2.0       NaN   \n",
       "1                 2.0       1.0       NaN       NaN       3.0       1.0   \n",
       "2                 NaN       2.0       NaN       2.0       NaN       NaN   \n",
       "3                 NaN       2.0       NaN       8.0       3.0       NaN   \n",
       "4                 2.0       1.0       NaN       5.0       NaN       NaN   \n",
       "\n",
       "customer_id  57215636  57220983  57223330  57224158  57230593  57231405  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       2.0       6.0       NaN       NaN       1.0   \n",
       "1                 NaN       5.0       3.0       NaN       NaN       2.0   \n",
       "2                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "3                 NaN       3.0       2.0       NaN       NaN       NaN   \n",
       "4                 NaN       2.0       1.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  57232590  57249461  57258174  57258798  57266601  57271742  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       2.0       NaN       3.0   \n",
       "1                 6.0       NaN       NaN       2.0       NaN       NaN   \n",
       "2                 3.0       NaN       1.0       NaN       NaN       NaN   \n",
       "3                 5.0       NaN       NaN       NaN       NaN       1.0   \n",
       "4                 7.0       1.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  57283046  57288373  57293688  57295414  57299055  57309825  \\\n",
       "num_day                                                                   \n",
       "0                 3.0       NaN       2.0       NaN       NaN       2.0   \n",
       "1                 2.0       1.0       2.0       1.0       1.0       1.0   \n",
       "2                 NaN       NaN       NaN       2.0       NaN       1.0   \n",
       "3                 3.0       NaN       3.0       NaN       1.0       3.0   \n",
       "4                 NaN       1.0       2.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  57326587  57334646  57350950  57352697  57368776  57373605  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  57374176  57375958  57380153  57382212  57399758  57399824  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       NaN       3.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       1.0       3.0       NaN   \n",
       "\n",
       "customer_id  57403649  57413819  57417933  57447668  57451464  57454957  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       3.0       NaN       NaN       NaN   \n",
       "4                 1.0       NaN       1.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  57469500  57486854  57495074  57501477  57512566  57513608  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       4.0       NaN       1.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       4.0   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       3.0   \n",
       "4                 NaN       NaN       NaN       1.0       NaN       2.0   \n",
       "\n",
       "customer_id  57523145  57539287  57546321  57577473  57582108  57582865  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       1.0       1.0       NaN       NaN   \n",
       "1                 2.0       1.0       2.0       NaN       2.0       1.0   \n",
       "2                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "3                 2.0       3.0       2.0       NaN       2.0       NaN   \n",
       "4                 1.0       NaN       NaN       2.0       NaN       NaN   \n",
       "\n",
       "customer_id  57585028  57591916  57595813  57604938  57609182  57620272  \\\n",
       "num_day                                                                   \n",
       "0                 6.0       1.0       NaN       1.0       NaN       NaN   \n",
       "1                 NaN       2.0       NaN       1.0       NaN       NaN   \n",
       "2                 NaN       4.0       NaN       NaN       NaN       NaN   \n",
       "3                 2.0       2.0       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       3.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  57631143  57638428  57643619  57651456  57660625  57665351  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       NaN       NaN       NaN       1.0   \n",
       "1                 7.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                10.0       NaN       NaN       NaN       NaN       1.0   \n",
       "4                 3.0       NaN       NaN       NaN       NaN       4.0   \n",
       "\n",
       "customer_id  57671345  57690486  57716662  57723725  57745281  57746497  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       1.0       NaN       2.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "2                 2.0       NaN       NaN       NaN       NaN       1.0   \n",
       "3                 2.0       NaN       NaN       3.0       NaN       2.0   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  57749040  57751865  57753982  57757650  57758138  57765004  \\\n",
       "num_day                                                                   \n",
       "0                 4.0       1.0       3.0       NaN       2.0       NaN   \n",
       "1                 2.0       2.0       5.0       NaN       6.0       NaN   \n",
       "2                 1.0       1.0       NaN       NaN       NaN       NaN   \n",
       "3                 1.0       3.0       NaN       NaN       2.0       1.0   \n",
       "4                 2.0       2.0       3.0       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  57775609  57784143  57798368  57802431  57804546  57804707  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  57807356  57818455  57823642  57826194  57831174  57845894  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       1.0       4.0       1.0       NaN       NaN   \n",
       "1                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 1.0       NaN       2.0       1.0       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "4                 1.0       1.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  57847078  57847550  57850427  57866323  57873964  57886259  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       3.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       3.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       8.0       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       3.0       1.0       NaN   \n",
       "4                 NaN       NaN       NaN       1.0       1.0       NaN   \n",
       "\n",
       "customer_id  57891135  57897343  57919012  57925369  57928592  57934561  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       4.0       NaN       1.0       NaN       1.0   \n",
       "1                 1.0       1.0       NaN       5.0       NaN       NaN   \n",
       "2                 NaN       2.0       NaN       3.0       NaN       NaN   \n",
       "3                 2.0       5.0       NaN       2.0       NaN       NaN   \n",
       "4                 NaN      10.0       NaN       2.0       NaN       1.0   \n",
       "\n",
       "customer_id  57945406  57945424  57948758  57949609  57984645  57995454  \\\n",
       "num_day                                                                   \n",
       "0                 5.0       NaN       NaN       1.0       3.0       1.0   \n",
       "1                 2.0       2.0       NaN       NaN       NaN       NaN   \n",
       "2                 2.0       3.0       NaN       NaN       1.0       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 5.0       1.0       NaN       1.0       NaN       2.0   \n",
       "\n",
       "customer_id  58004721  58006798  58011867  58015523  58017201  58017754  \\\n",
       "num_day                                                                   \n",
       "0                 3.0       1.0       NaN       NaN       1.0       NaN   \n",
       "1                 2.0       NaN       2.0       NaN       5.0       NaN   \n",
       "2                 NaN       NaN       NaN       1.0       1.0       NaN   \n",
       "3                 2.0       NaN       NaN       1.0       3.0       NaN   \n",
       "4                 NaN       NaN       1.0       NaN       4.0       NaN   \n",
       "\n",
       "customer_id  58021788  58023930  58025001  58038456  58040316  58044117  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       1.0       NaN       2.0       3.0   \n",
       "4                 NaN       NaN       1.0       1.0       1.0       1.0   \n",
       "\n",
       "customer_id  58046523  58046901  58049487  58053783  58059741  58070888  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       3.0       1.0       3.0       NaN       2.0   \n",
       "1                 NaN       NaN       NaN       1.0       NaN       1.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "3                 NaN       NaN       1.0       1.0       NaN       1.0   \n",
       "4                 NaN       2.0       NaN       2.0       1.0       2.0   \n",
       "\n",
       "customer_id  58075552  58082547  58084771  58088415  58092791  58123469  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       2.0       NaN       1.0       2.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "3                 NaN       1.0       1.0       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  58146848  58152776  58157369  58161351  58163335  58163794  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "1                 NaN       NaN       3.0       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       2.0       2.0       NaN       NaN   \n",
       "4                 NaN       4.0       1.0       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  58164080  58165107  58167338  58169630  58181810  58193397  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       NaN       NaN       1.0   \n",
       "1                 NaN       1.0       NaN       2.0       NaN       NaN   \n",
       "2                 1.0       1.0       NaN       NaN       NaN       1.0   \n",
       "3                 1.0       9.0       NaN       NaN       NaN       1.0   \n",
       "4                 NaN       2.0       NaN       NaN       NaN       5.0   \n",
       "\n",
       "customer_id  58199695  58210299  58227469  58244158  58245178  58247825  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       1.0       NaN       NaN       4.0       NaN   \n",
       "3                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       2.0       NaN       NaN       2.0       NaN   \n",
       "\n",
       "customer_id  58266143  58283353  58287137  58289745  58310145  58313441  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       2.0       NaN       1.0       1.0       NaN   \n",
       "1                 NaN       1.0       NaN       NaN       1.0       NaN   \n",
       "2                 2.0       4.0       NaN       1.0       4.0       NaN   \n",
       "3                 NaN       2.0       NaN       1.0       3.0       NaN   \n",
       "4                 NaN       NaN       NaN       3.0       2.0       NaN   \n",
       "\n",
       "customer_id  58337944  58355955  58357698  58361655  58370439  58370483  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       2.0       2.0       NaN       NaN       NaN   \n",
       "1                 NaN       3.0       1.0       1.0       1.0       NaN   \n",
       "2                 NaN       3.0       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       1.0       NaN       1.0       3.0       NaN   \n",
       "4                 NaN       5.0       1.0       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  58379242  58380578  58383596  58399277  58400259  58403873  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 1.0       NaN       NaN       NaN       1.0       1.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "3                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "4                 1.0       NaN       1.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  58409683  58410222  58413297  58414796  58423516  58431934  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       3.0       NaN       NaN       2.0   \n",
       "1                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       2.0       1.0       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  58433783  58440474  58444075  58447251  58457953  58458710  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       1.0       3.0       6.0   \n",
       "1                 NaN       NaN       NaN       NaN       4.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       4.0       NaN   \n",
       "3                 NaN       1.0       NaN       NaN       1.0       NaN   \n",
       "4                 NaN       2.0       NaN       NaN       1.0       1.0   \n",
       "\n",
       "customer_id  58461952  58463825  58468860  58473772  58473809  58475331  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       2.0       NaN       1.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       4.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  58478564  58479570  58481484  58501218  58515334  58547140  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       1.0       NaN       NaN       1.0       NaN   \n",
       "1                 2.0       NaN       NaN       1.0       NaN       NaN   \n",
       "2                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       1.0       NaN       3.0       NaN   \n",
       "4                 2.0       1.0       1.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  58568712  58573553  58584278  58587337  58589812  58593900  \\\n",
       "num_day                                                                   \n",
       "0                 6.0       1.0       NaN       NaN       NaN       NaN   \n",
       "1                 3.0       1.0       2.0       NaN       2.0       1.0   \n",
       "2                 NaN       NaN       2.0       NaN       1.0       NaN   \n",
       "3                 2.0       1.0       NaN       NaN       NaN       NaN   \n",
       "4                 1.0       NaN       NaN       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  58598492  58609411  58610022  58610651  58615216  58623149  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "1                 1.0       NaN       1.0       NaN       NaN       1.0   \n",
       "2                 NaN       NaN       NaN       3.0       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  58627203  58629398  58631073  58638926  58656137  58659032  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       2.0       1.0       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       1.0       NaN       1.0   \n",
       "4                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  58669583  58673538  58674955  58680758  58686638  58687545  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "3                 NaN       2.0       NaN       NaN       2.0       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  58691571  58699299  58713656  58723167  58725654  58754755  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       4.0       NaN       NaN       3.0       1.0   \n",
       "1                 1.0       3.0       NaN       NaN       NaN       5.0   \n",
       "2                 1.0       6.0       NaN       NaN       NaN       NaN   \n",
       "3                 3.0       NaN       NaN       NaN       NaN       2.0   \n",
       "4                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  58760290  58777592  58788456  58788921  58792452  58794851  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       4.0       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  58798311  58798619  58803010  58806196  58807405  58812686  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       2.0       NaN       1.0   \n",
       "1                 NaN       NaN       NaN       1.0       1.0       4.0   \n",
       "2                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       1.0       1.0       1.0   \n",
       "4                 NaN       NaN       1.0       NaN       NaN       3.0   \n",
       "\n",
       "customer_id  58819313  58822685  58825283  58825459  58838122  58838715  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       2.0       NaN       1.0       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  58841091  58849512  58850590  58851931  58861824  58866054  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       2.0       NaN       3.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       3.0   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       8.0   \n",
       "4                 2.0       NaN       NaN       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  58868771  58877868  58878219  58903102  58927964  58929635  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       3.0       5.0       NaN       4.0   \n",
       "1                 NaN       NaN       4.0       1.0       NaN       2.0   \n",
       "2                 NaN       NaN       1.0       6.0       NaN       2.0   \n",
       "3                 NaN       NaN       8.0       3.0       NaN       NaN   \n",
       "4                 NaN       NaN      15.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  58933544  58935084  58939019  58948598  58951062  58955297  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "1                 1.0       2.0       NaN       NaN       NaN       1.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "3                 2.0       2.0       NaN       NaN       NaN       4.0   \n",
       "4                 2.0       NaN       NaN       NaN       NaN       2.0   \n",
       "\n",
       "customer_id  58955524  58958646  58961598  58963441  58970569  58979178  \\\n",
       "num_day                                                                   \n",
       "0                 3.0       3.0       NaN       1.0       NaN       NaN   \n",
       "1                 NaN       1.0       2.0       NaN       1.0       NaN   \n",
       "2                 2.0       NaN       NaN       NaN       1.0       NaN   \n",
       "3                 NaN       2.0       NaN       NaN       1.0       2.0   \n",
       "4                 3.0       1.0       NaN       NaN       1.0       1.0   \n",
       "\n",
       "customer_id  58986725  59001640  59003658  59012522  59018861  59020153  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "1                 NaN       2.0       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  59026499  59034128  59053159  59061421  59067224  59068281  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       2.0       NaN       1.0       3.0   \n",
       "1                 NaN       2.0       2.0       NaN       NaN       2.0   \n",
       "2                 NaN       1.0       NaN       NaN       3.0       NaN   \n",
       "3                 2.0       NaN       2.0       NaN       5.0       NaN   \n",
       "4                 NaN       NaN       3.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  59068979  59073462  59074588  59096539  59120963  59129528  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       3.0       2.0   \n",
       "1                 NaN       1.0       NaN       1.0       NaN       4.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "4                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  59149631  59157785  59167103  59169205  59189911  59211382  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 1.0       2.0       1.0       NaN       NaN       NaN   \n",
       "4                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  59213988  59219623  59233664  59235280  59237235  59243316  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       2.0       2.0       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       2.0       NaN       NaN       1.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "3                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "4                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  59247238  59256372  59267013  59268754  59284472  59289503  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       NaN       NaN       2.0   \n",
       "1                 NaN       1.0       NaN       NaN       5.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       7.0       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       1.0       1.0   \n",
       "4                 NaN       1.0       NaN       NaN       2.0       NaN   \n",
       "\n",
       "customer_id  59295357  59296612  59298345  59311178  59313494  59319576  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 2.0       NaN       NaN       NaN       1.0       NaN   \n",
       "3                 4.0       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  59331236  59343178  59349430  59362844  59367123  59396928  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       1.0       1.0   \n",
       "4                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  59396981  59398993  59406178  59412639  59438753  59447114  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       8.0       NaN       2.0       NaN       NaN   \n",
       "1                 NaN       2.0       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       3.0       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "4                 1.0       NaN       NaN       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  59454656  59461135  59463808  59465550  59470284  59472846  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       NaN       3.0       1.0   \n",
       "1                 NaN       NaN       NaN       NaN       7.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "3                 1.0       NaN       1.0       NaN       2.0       2.0   \n",
       "4                 NaN       NaN       NaN       NaN       4.0       NaN   \n",
       "\n",
       "customer_id  59473185  59483083  59500358  59500559  59506410  59507821  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       1.0       2.0       NaN   \n",
       "1                 1.0       NaN       NaN       2.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "3                 1.0       NaN       NaN       1.0       NaN       NaN   \n",
       "4                 1.0       NaN       NaN       2.0       NaN       NaN   \n",
       "\n",
       "customer_id  59508159  59519264  59532496  59545596  59552097  59553546  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       2.0       NaN       NaN       NaN   \n",
       "1                 2.0       NaN       1.0       1.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "3                 1.0       NaN       NaN       1.0       NaN       NaN   \n",
       "4                 NaN       NaN       1.0       4.0       NaN       NaN   \n",
       "\n",
       "customer_id  59561460  59562228  59566967  59567939  59569869  59573640  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       NaN       5.0       NaN   \n",
       "1                11.0       NaN       NaN       1.0       NaN       NaN   \n",
       "2                 3.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 1.0       NaN       NaN       NaN       3.0       NaN   \n",
       "4                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  59583266  59583275  59585814  59587766  59597576  59605485  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       2.0       4.0       1.0   \n",
       "1                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       1.0       1.0       NaN       NaN       NaN   \n",
       "4                 2.0       NaN       NaN       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  59612277  59614249  59622365  59624852  59626458  59627043  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       1.0       NaN       2.0       1.0       2.0   \n",
       "1                 3.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 2.0       NaN       NaN       NaN       NaN       1.0   \n",
       "3                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "4                 2.0       1.0       NaN       NaN       3.0       2.0   \n",
       "\n",
       "customer_id  59636777  59639001  59649472  59651963  59656984  59660392  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       1.0       1.0       2.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "4                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "\n",
       "customer_id  59661557  59672142  59676418  59688498  59696507  59701507  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  59709496  59709592  59722733  59723709  59726841  59728965  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "2                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "4                 NaN       NaN       2.0       2.0       NaN       1.0   \n",
       "\n",
       "customer_id  59733395  59747945  59751558  59763029  59767689  59769662  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       4.0       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       3.0       NaN       NaN       NaN       NaN   \n",
       "2                 1.0       7.0       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       7.0       NaN       1.0       NaN       NaN   \n",
       "4                 NaN       1.0       NaN       6.0       NaN       NaN   \n",
       "\n",
       "customer_id  59772148  59780583  59789740  59817474  59818124  59822250  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       NaN       NaN       2.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "2                 NaN       NaN       NaN       NaN       1.0       1.0   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "4                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  59831043  59836870  59839451  59848536  59848566  59850201  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       2.0       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 1.0       2.0       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       3.0       NaN       NaN       NaN       1.0   \n",
       "4                 NaN       3.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  59863981  59866223  59867751  59871591  59875440  59880944  \\\n",
       "num_day                                                                   \n",
       "0                 7.0       3.0       NaN       1.0       2.0       NaN   \n",
       "1                 2.0       2.0       NaN       1.0       1.0       1.0   \n",
       "2                 1.0       3.0       NaN       2.0       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       5.0       1.0       2.0   \n",
       "4                 1.0       3.0       NaN       NaN       NaN       5.0   \n",
       "\n",
       "customer_id  59894674  59901772  59912360  59916938  59921856  59924985  \\\n",
       "num_day                                                                   \n",
       "0                 3.0       NaN       NaN       NaN       NaN       2.0   \n",
       "1                 1.0       NaN       NaN       NaN       3.0       2.0   \n",
       "2                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       1.0       3.0       2.0   \n",
       "4                 2.0       3.0       NaN       NaN       NaN       4.0   \n",
       "\n",
       "customer_id  59946820  59948285  59953125  59956175  59961850  59964562  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "1                 NaN       4.0       NaN       2.0       NaN       1.0   \n",
       "2                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "3                 NaN       4.0       NaN       1.0       1.0       NaN   \n",
       "4                 NaN       3.0       1.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  59971322  59986494  59990431  59990971  59994859  60003965  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       2.0       NaN       1.0       NaN   \n",
       "1                 2.0       NaN       1.0       NaN       NaN       NaN   \n",
       "2                 2.0       NaN       1.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       1.0       NaN       NaN       1.0   \n",
       "4                 3.0       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  60004384  60015661  60026690  60029265  60034294  60037001  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 5.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 3.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 5.0       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 5.0       NaN       NaN       NaN       2.0       NaN   \n",
       "\n",
       "customer_id  60037489  60038481  60038858  60042933  60046225  60046355  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       NaN       2.0       NaN   \n",
       "1                 NaN       1.0       NaN       NaN       NaN       1.0   \n",
       "2                 NaN       NaN       3.0       NaN       NaN       1.0   \n",
       "3                 NaN       1.0       NaN       NaN       4.0       NaN   \n",
       "4                 NaN       3.0       NaN       2.0       NaN       NaN   \n",
       "\n",
       "customer_id  60048863  60061070  60064419  60070226  60073858  60084182  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       3.0       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       1.0       NaN       NaN       NaN       1.0   \n",
       "2                 NaN       2.0       NaN       NaN       NaN       1.0   \n",
       "3                 NaN       2.0       1.0       NaN       NaN       NaN   \n",
       "4                 NaN       1.0       3.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  60105418  60111796  60123411  60130204  60133208  60133658  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 5.0       NaN       NaN       1.0       1.0       NaN   \n",
       "2                 4.0       NaN       NaN       NaN       1.0       NaN   \n",
       "3                 1.0       1.0       NaN       4.0       NaN       NaN   \n",
       "4                 5.0       1.0       NaN       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  60145396  60146904  60150994  60151282  60151657  60159397  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN      35.0       4.0       NaN   \n",
       "1                 NaN       1.0       2.0      31.0       NaN       NaN   \n",
       "2                 1.0       NaN       1.0      39.0       1.0       NaN   \n",
       "3                 2.0       NaN       3.0      15.0       1.0       NaN   \n",
       "4                 1.0       NaN       NaN       9.0       NaN       NaN   \n",
       "\n",
       "customer_id  60164248  60183563  60185238  60185978  60198200  60224433  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       1.0       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "\n",
       "customer_id  60225348  60228118  60229410  60230079  60234996  60237497  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       3.0       NaN       2.0       NaN       NaN   \n",
       "1                 NaN       NaN       3.0       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 3.0       NaN       1.0       NaN       NaN       NaN   \n",
       "4                 1.0       1.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  60248313  60251270  60265571  60269873  60287765  60293458  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       NaN       NaN      15.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       4.0   \n",
       "2                 NaN       1.0       NaN       NaN       NaN       8.0   \n",
       "3                 NaN       3.0       NaN       NaN       NaN      10.0   \n",
       "4                 NaN       2.0       2.0       NaN       NaN      16.0   \n",
       "\n",
       "customer_id  60296544  60301744  60309698  60317359  60320033  60322160  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       4.0       NaN       2.0   \n",
       "1                 1.0       NaN       NaN       NaN       1.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       6.0       NaN       1.0       4.0   \n",
       "4                 NaN       NaN       NaN       2.0       1.0       1.0   \n",
       "\n",
       "customer_id  60334649  60340891  60344266  60348703  60350405  60354929  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       3.0       1.0       1.0       NaN       4.0   \n",
       "1                 NaN       8.0       1.0       NaN       NaN       1.0   \n",
       "2                 NaN       3.0       NaN       1.0       NaN       NaN   \n",
       "3                 NaN       NaN       5.0       1.0       NaN       NaN   \n",
       "4                 NaN       NaN       1.0       NaN       NaN       2.0   \n",
       "\n",
       "customer_id  60356424  60373957  60374532  60384959  60405817  60412759  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       1.0       NaN       2.0   \n",
       "\n",
       "customer_id  60413996  60425984  60428201  60434263  60434712  60443927  \\\n",
       "num_day                                                                   \n",
       "0                 3.0       NaN       3.0       NaN       NaN       NaN   \n",
       "1                 1.0       NaN       3.0       7.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 3.0       NaN       NaN       3.0       NaN       NaN   \n",
       "4                 3.0       NaN       1.0       4.0       1.0       NaN   \n",
       "\n",
       "customer_id  60446415  60456046  60462258  60469603  60470683  60471515  \\\n",
       "num_day                                                                   \n",
       "0                 4.0       2.0       NaN       1.0       NaN       4.0   \n",
       "1                 1.0       1.0       NaN       7.0       NaN       3.0   \n",
       "2                 NaN       NaN       NaN       4.0       1.0       1.0   \n",
       "3                 2.0       NaN       2.0       NaN       NaN       1.0   \n",
       "4                 2.0       NaN       NaN       2.0       NaN       NaN   \n",
       "\n",
       "customer_id  60474902  60487311  60510203  60516576  60525551  60533423  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       NaN       1.0       1.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       1.0       2.0       NaN       2.0   \n",
       "3                 NaN       NaN       1.0       1.0       NaN       2.0   \n",
       "4                 1.0       2.0       4.0       3.0       2.0       5.0   \n",
       "\n",
       "customer_id  60537691  60542588  60545607  60550296  60561601  60576214  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       2.0       2.0       NaN       NaN       NaN   \n",
       "2                 NaN       2.0      10.0       NaN       NaN       1.0   \n",
       "3                 NaN       2.0       6.0       NaN       NaN       1.0   \n",
       "4                 NaN       2.0       4.0       1.0       NaN       1.0   \n",
       "\n",
       "customer_id  60588851  60591036  60595260  60600969  60632738  60637668  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       8.0       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       4.0       NaN       NaN       NaN   \n",
       "2                 NaN       1.0       7.0       NaN       NaN       NaN   \n",
       "3                 NaN       2.0       4.0       NaN       NaN       NaN   \n",
       "4                 NaN       1.0       8.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  60665824  60666238  60679412  60685784  60688335  60693557  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       1.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  60701974  60703794  60708146  60711627  60716101  60721060  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       NaN       2.0       2.0   \n",
       "1                 2.0       NaN       1.0       1.0       NaN       3.0   \n",
       "2                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "3                 NaN       NaN       NaN       4.0       1.0       1.0   \n",
       "4                 NaN       NaN       NaN       1.0       3.0       1.0   \n",
       "\n",
       "customer_id  60721791  60723549  60743141  60743656  60748585  60751900  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 3.0       NaN       NaN       1.0       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "\n",
       "customer_id  60768036  60773228  60791671  60802442  60804549  60808677  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       1.0       NaN       2.0       NaN       NaN   \n",
       "1                 NaN       NaN       1.0       3.0       NaN       NaN   \n",
       "2                 NaN       NaN       3.0       2.0       NaN       NaN   \n",
       "3                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "4                 3.0       NaN       2.0       3.0       NaN       NaN   \n",
       "\n",
       "customer_id  60825967  60832587  60845402  60859227  60859745  60860575  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 1.0       NaN       NaN       NaN       1.0       2.0   \n",
       "2                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "4                 2.0       NaN       NaN       2.0       4.0       NaN   \n",
       "\n",
       "customer_id  60867652  60875936  60884845  60890229  60893507  60894440  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "2                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "4                 NaN       NaN       NaN       4.0       NaN       NaN   \n",
       "\n",
       "customer_id  60895734  60900358  60901649  60922466  60931905  60936749  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       4.0       NaN       4.0       2.0       NaN   \n",
       "1                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       1.0       NaN       1.0       NaN       4.0   \n",
       "3                 NaN       4.0       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       2.0       NaN       2.0       1.0       NaN   \n",
       "\n",
       "customer_id  60939191  60940299  60944935  60953316  60955945  60958627  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       2.0       NaN       NaN       NaN       3.0   \n",
       "1                 1.0       NaN       NaN       1.0       NaN       NaN   \n",
       "2                 1.0       NaN       1.0       NaN       NaN       NaN   \n",
       "3                 2.0       2.0       NaN       NaN       NaN       1.0   \n",
       "4                 NaN       1.0       NaN       1.0       NaN       2.0   \n",
       "\n",
       "customer_id  60991319  61009235  61009373  61009479  61014136  61015849  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  61016907  61024099  61034383  61043656  61069717  61077537  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "1                 1.0       1.0       NaN       1.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "3                 1.0       NaN       NaN       3.0       NaN       NaN   \n",
       "4                 5.0       4.0       1.0       NaN       2.0       NaN   \n",
       "\n",
       "customer_id  61078488  61090794  61092521  61102970  61108040  61116638  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       1.0       NaN       NaN       3.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "2                 1.0       NaN       NaN       NaN       3.0       1.0   \n",
       "3                 NaN       1.0       NaN       NaN       2.0       1.0   \n",
       "4                 1.0       NaN       NaN       NaN       2.0       2.0   \n",
       "\n",
       "customer_id  61123305  61127974  61132751  61133128  61134525  61144234  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       1.0       1.0       NaN   \n",
       "1                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       5.0       NaN       NaN   \n",
       "3                 4.0       1.0       NaN       2.0       1.0       NaN   \n",
       "4                 NaN       1.0       NaN       NaN       2.0       1.0   \n",
       "\n",
       "customer_id  61145296  61148103  61149133  61155470  61157299  61160097  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       2.0       2.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       5.0       NaN       1.0   \n",
       "2                 NaN       NaN       1.0       2.0       1.0       NaN   \n",
       "3                 NaN       NaN       1.0       3.0       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       4.0       NaN       1.0   \n",
       "\n",
       "customer_id  61172279  61192669  61197025  61205849  61208146  61223918  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       NaN       3.0       NaN   \n",
       "1                 1.0       NaN       NaN       3.0       2.0       NaN   \n",
       "2                 NaN       NaN       NaN       2.0       3.0       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "4                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  61225043  61225878  61227365  61236438  61240380  61242490  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "1                 NaN       1.0       NaN       1.0       NaN       NaN   \n",
       "2                 2.0       NaN       NaN       1.0       NaN       NaN   \n",
       "3                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  61244703  61247290  61264546  61267221  61271772  61276826  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       5.0       3.0       1.0       NaN       6.0   \n",
       "1                 1.0       8.0       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "3                 1.0       NaN       NaN       3.0       NaN       NaN   \n",
       "4                 1.0       1.0       NaN       NaN       NaN       6.0   \n",
       "\n",
       "customer_id  61283132  61287858  61294827  61295884  61301814  61312532  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       1.0       NaN       NaN   \n",
       "1                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  61313305  61314860  61317029  61317308  61324530  61335203  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       NaN       NaN       NaN       1.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       2.0       NaN       NaN       NaN       2.0   \n",
       "3                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "4                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  61336379  61339718  61339818  61378124  61385271  61385934  \\\n",
       "num_day                                                                   \n",
       "0                 5.0       NaN       4.0       1.0       NaN      11.0   \n",
       "1                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       1.0       5.0   \n",
       "4                 1.0       NaN       2.0       2.0       NaN       NaN   \n",
       "\n",
       "customer_id  61386658  61399891  61403125  61422381  61431388  61436963  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       2.0       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       2.0       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       2.0       NaN       1.0       NaN       NaN   \n",
       "3                 NaN       4.0       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       4.0       NaN       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  61444633  61451968  61455368  61457824  61463117  61463328  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       3.0       NaN       NaN       2.0       NaN   \n",
       "1                 1.0       2.0       NaN       NaN       NaN       NaN   \n",
       "2                 4.0       7.0       NaN       1.0       3.0       NaN   \n",
       "3                 NaN       4.0       NaN       2.0       NaN       NaN   \n",
       "4                 3.0       5.0       NaN       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  61466009  61471947  61472440  61477227  61483401  61490379  \\\n",
       "num_day                                                                   \n",
       "0                 7.0       NaN       NaN       5.0       NaN       NaN   \n",
       "1                 2.0       1.0       2.0       2.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "3                 NaN       1.0       NaN       7.0       NaN       NaN   \n",
       "4                 1.0       NaN       NaN       2.0       NaN       NaN   \n",
       "\n",
       "customer_id  61494555  61495918  61502221  61511533  61520864  61531890  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       4.0       NaN       NaN       NaN   \n",
       "1                 NaN       1.0       1.0       1.0       1.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       1.0       1.0       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       1.0       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  61539071  61542297  61542377  61546226  61561173  61572068  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       1.0       6.0   \n",
       "1                 NaN       NaN       1.0       NaN       NaN       4.0   \n",
       "2                 NaN       2.0       1.0       NaN       NaN       2.0   \n",
       "3                 NaN       NaN       1.0       NaN       NaN       5.0   \n",
       "4                 NaN       NaN       1.0       NaN       4.0       3.0   \n",
       "\n",
       "customer_id  61572210  61590720  61590766  61596684  61598535  61599694  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       1.0       2.0       NaN       NaN       NaN   \n",
       "1                 NaN       2.0       1.0       2.0       NaN       1.0   \n",
       "2                 NaN       1.0       NaN       2.0       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       3.0   \n",
       "4                 NaN       1.0       2.0       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  61613971  61621763  61628007  61628505  61630225  61637426  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       2.0       3.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  61659690  61689742  61689992  61701375  61710092  61713959  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       2.0       2.0       NaN   \n",
       "2                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       1.0       NaN       1.0   \n",
       "\n",
       "customer_id  61714852  61715380  61717757  61726597  61733281  61734363  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       2.0       1.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 1.0       NaN       NaN       NaN       4.0       NaN   \n",
       "4                 NaN       NaN       3.0       2.0       1.0       NaN   \n",
       "\n",
       "customer_id  61737103  61739552  61739699  61740250  61743191  61745236  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       1.0       3.0   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  61758325  61763298  61764389  61766010  61774332  61781661  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       1.0       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  61782607  61783531  61792627  61796054  61799579  61800954  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "1                 NaN       NaN       3.0       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       1.0       NaN       2.0       NaN       NaN   \n",
       "\n",
       "customer_id  61813188  61821103  61830325  61842865  61844784  61845978  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       1.0       3.0       NaN       1.0       NaN   \n",
       "2                 NaN       2.0       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  61853422  61855287  61870738  61880261  61883472  61888608  \\\n",
       "num_day                                                                   \n",
       "0                 3.0       NaN       NaN       NaN       3.0       5.0   \n",
       "1                 1.0       NaN       NaN       NaN       2.0       2.0   \n",
       "2                 NaN       NaN       NaN       NaN       2.0       2.0   \n",
       "3                 1.0       NaN       NaN       NaN       NaN       2.0   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  61892054  61900989  61912590  61928703  61928724  61931318  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       4.0       NaN       2.0       6.0       2.0   \n",
       "1                 NaN       NaN       NaN       NaN       3.0       1.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "3                 NaN       NaN       NaN       1.0       2.0       1.0   \n",
       "4                 NaN       2.0       NaN       4.0       4.0       5.0   \n",
       "\n",
       "customer_id  61941411  61942604  61942794  61949485  61952744  61958659  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 1.0       1.0       NaN       NaN       NaN       NaN   \n",
       "2                 4.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 1.0       1.0       1.0       NaN       NaN       NaN   \n",
       "4                 1.0       1.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  61968077  61969731  61971706  61974549  61977775  61978280  \\\n",
       "num_day                                                                   \n",
       "0                 3.0       1.0       2.0       NaN       4.0       NaN   \n",
       "1                 1.0       1.0       NaN       NaN       NaN       NaN   \n",
       "2                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 2.0       NaN       1.0       NaN       6.0       NaN   \n",
       "4                 1.0       1.0       NaN       NaN       4.0       NaN   \n",
       "\n",
       "customer_id  61980616  61980854  61981162  61989470  61990441  61990656  \\\n",
       "num_day                                                                   \n",
       "0                 3.0       NaN       NaN       1.0       NaN       NaN   \n",
       "1                 7.0       NaN       1.0       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "3                 1.0       1.0       1.0       NaN       NaN       NaN   \n",
       "4                 NaN       2.0       1.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  62001381  62008087  62010406  62022171  62025965  62030642  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       3.0       NaN       1.0       NaN   \n",
       "1                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       3.0       3.0   \n",
       "3                 3.0       NaN       NaN       NaN       2.0       4.0   \n",
       "4                 NaN       NaN       1.0       1.0       NaN       2.0   \n",
       "\n",
       "customer_id  62044192  62048436  62052075  62052700  62071738  62076715  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       NaN       2.0       1.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       5.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       8.0   \n",
       "3                 NaN       NaN       NaN       NaN       1.0       2.0   \n",
       "4                 NaN       NaN       NaN       1.0       NaN       3.0   \n",
       "\n",
       "customer_id  62084181  62085233  62085471  62086113  62094116  62106307  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       5.0       1.0       3.0       1.0   \n",
       "1                 NaN       NaN       NaN       NaN       3.0       5.0   \n",
       "2                 NaN       NaN       NaN       3.0       NaN       1.0   \n",
       "3                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "4                 NaN       1.0       NaN       NaN       NaN       3.0   \n",
       "\n",
       "customer_id  62111449  62118296  62124669  62125514  62131392  62138009  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       3.0       6.0       NaN   \n",
       "1                 NaN       NaN       NaN       3.0       4.0       NaN   \n",
       "2                 NaN       NaN       NaN       5.0       NaN       NaN   \n",
       "3                 NaN       1.0       NaN       3.0       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       7.0       4.0       NaN   \n",
       "\n",
       "customer_id  62140058  62140553  62142740  62145393  62155762  62161840  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       NaN       NaN       2.0   \n",
       "1                 NaN       NaN       2.0       NaN       NaN       1.0   \n",
       "2                 NaN       NaN       3.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  62165080  62166549  62168921  62181901  62186405  62199454  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       2.0       NaN       NaN       1.0   \n",
       "1                 NaN       1.0       NaN       NaN       NaN       3.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  62220196  62220757  62223163  62225605  62233373  62236786  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       2.0       4.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 2.0       NaN       1.0       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  62245522  62247620  62253980  62258087  62275096  62277942  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "1                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "4                 NaN       NaN       2.0       NaN       NaN       5.0   \n",
       "\n",
       "customer_id  62279169  62292113  62297746  62309471  62312250  62318364  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "1                 2.0       NaN       NaN       2.0       NaN       NaN   \n",
       "2                 2.0       1.0       NaN       NaN       NaN       NaN   \n",
       "3                 3.0       NaN       NaN       1.0       NaN       NaN   \n",
       "4                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  62319335  62320055  62323241  62330713  62337080  62337216  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       1.0       3.0   \n",
       "1                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       2.0       NaN       2.0       NaN   \n",
       "4                 NaN       NaN       1.0       NaN       NaN      12.0   \n",
       "\n",
       "customer_id  62345856  62353531  62374959  62379003  62408292  62408586  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "1                 8.0       1.0       NaN       NaN       1.0       NaN   \n",
       "2                 1.0       1.0       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       2.0       NaN       NaN       NaN       3.0   \n",
       "4                 NaN       1.0       NaN       NaN       2.0       NaN   \n",
       "\n",
       "customer_id  62411289  62417559  62423418  62427467  62434324  62448192  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       NaN       NaN       1.0       NaN   \n",
       "1                 2.0       1.0       1.0       NaN       NaN       NaN   \n",
       "2                 NaN       3.0       3.0       NaN       NaN       NaN   \n",
       "3                 1.0       NaN       NaN       NaN       NaN       1.0   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  62450762  62451459  62458162  62466288  62471330  62477395  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       1.0       NaN       NaN       NaN       2.0   \n",
       "1                 NaN       NaN       NaN       2.0       1.0       NaN   \n",
       "2                 NaN       NaN       NaN       1.0       2.0       7.0   \n",
       "3                 NaN       1.0       NaN       1.0       1.0       NaN   \n",
       "4                 1.0       NaN       1.0       NaN       2.0       NaN   \n",
       "\n",
       "customer_id  62479510  62498113  62498399  62500435  62509484  62527163  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       6.0       NaN       3.0       1.0   \n",
       "1                 NaN       NaN       NaN       NaN       2.0       1.0   \n",
       "2                 NaN       NaN       2.0       NaN       NaN       4.0   \n",
       "3                 NaN       NaN       1.0       NaN       9.0       1.0   \n",
       "4                 NaN       NaN       1.0       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  62533123  62536924  62547124  62561374  62572152  62574131  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       3.0       2.0       3.0       NaN       1.0   \n",
       "1                 NaN       1.0       NaN       2.0       NaN       NaN   \n",
       "2                 1.0       1.0       NaN       1.0       NaN       NaN   \n",
       "3                 NaN       2.0       1.0       NaN       NaN       NaN   \n",
       "4                 NaN       3.0       2.0       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  62584963  62586401  62598132  62602001  62605812  62606554  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       NaN       1.0       NaN   \n",
       "1                 NaN       1.0       4.0       NaN       NaN       NaN   \n",
       "2                 NaN       1.0       NaN       NaN       1.0       NaN   \n",
       "3                 NaN       NaN       3.0       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       2.0       NaN       NaN       3.0   \n",
       "\n",
       "customer_id  62607193  62618815  62624043  62630176  62631394  62633923  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "1                 NaN       1.0       NaN       NaN       NaN       2.0   \n",
       "2                 2.0       NaN       NaN       NaN       NaN       3.0   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "4                 NaN       2.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  62638765  62646009  62666744  62668918  62679832  62684352  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       4.0       NaN       NaN       NaN       1.0   \n",
       "1                 NaN       4.0       NaN       NaN       1.0       NaN   \n",
       "2                 NaN       8.0       2.0       NaN       NaN       NaN   \n",
       "3                 NaN       2.0       NaN       NaN       1.0       NaN   \n",
       "4                 NaN       3.0       1.0       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  62688371  62691685  62693719  62693770  62701049  62713360  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       2.0       NaN       NaN       1.0       2.0   \n",
       "1                 NaN       3.0       NaN       NaN       NaN       2.0   \n",
       "2                 NaN       3.0       1.0       NaN       NaN       1.0   \n",
       "3                 NaN       3.0       2.0       NaN       NaN       5.0   \n",
       "4                 NaN       2.0       NaN       NaN      10.0       1.0   \n",
       "\n",
       "customer_id  62713498  62715587  62723208  62727101  62735032  62735599  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "1                 4.0       NaN       1.0       1.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 1.0       3.0       1.0       3.0       NaN       NaN   \n",
       "4                 1.0       3.0       NaN       4.0       1.0       NaN   \n",
       "\n",
       "customer_id  62735787  62745906  62752470  62752982  62752996  62756712  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       2.0       1.0       NaN       1.0       1.0   \n",
       "1                 1.0       4.0       2.0       NaN       2.0       NaN   \n",
       "2                 1.0       2.0       1.0       NaN       2.0       NaN   \n",
       "3                 3.0       4.0       NaN       NaN       3.0       NaN   \n",
       "4                 NaN       2.0       1.0       NaN       5.0       NaN   \n",
       "\n",
       "customer_id  62758750  62760931  62772670  62778413  62807869  62810506  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "3                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       3.0       NaN       NaN   \n",
       "\n",
       "customer_id  62818334  62820104  62821040  62830614  62832400  62856375  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       NaN       1.0       NaN       NaN   \n",
       "1                 NaN       NaN       2.0       1.0       NaN       NaN   \n",
       "2                 2.0       NaN       1.0       2.0       NaN       NaN   \n",
       "3                 1.0       1.0       NaN       1.0       1.0       NaN   \n",
       "4                 2.0       NaN       2.0       2.0       3.0       2.0   \n",
       "\n",
       "customer_id  62857590  62863030  62870006  62873812  62879520  62886310  \\\n",
       "num_day                                                                   \n",
       "0                 3.0       3.0       NaN       1.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "2                 1.0       2.0       NaN       1.0       1.0       NaN   \n",
       "3                 3.0       2.0       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       2.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  62886702  62889274  62895171  62903374  62912334  62926046  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       3.0       NaN   \n",
       "1                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       6.0   \n",
       "3                 NaN       NaN       NaN       NaN       3.0       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  62935972  62939779  62941427  62942921  62943829  62963930  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       2.0       NaN       2.0       NaN   \n",
       "1                 NaN       NaN       1.0       1.0       4.0       NaN   \n",
       "2                 NaN       2.0       2.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       4.0       NaN       3.0       NaN   \n",
       "4                 NaN       NaN       2.0       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  62967295  62969386  62986066  63000811  63009289  63020711  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       4.0       3.0       NaN       NaN       NaN   \n",
       "1                 2.0       4.0       2.0       NaN       NaN       NaN   \n",
       "2                 NaN       4.0       NaN       NaN       1.0       NaN   \n",
       "3                 3.0       1.0       6.0       NaN       NaN       NaN   \n",
       "4                 NaN       1.0       8.0       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  63022546  63024289  63030316  63033048  63033201  63043067  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "1                 2.0       3.0       NaN       2.0       NaN       NaN   \n",
       "2                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  63054177  63066346  63090151  63091006  63100096  63109769  \\\n",
       "num_day                                                                   \n",
       "0                 3.0       2.0       3.0       NaN       3.0      12.0   \n",
       "1                 1.0       1.0       1.0       NaN       NaN       3.0   \n",
       "2                 2.0       1.0       1.0       2.0       1.0       5.0   \n",
       "3                 NaN       NaN       3.0       3.0       2.0       8.0   \n",
       "4                 NaN       NaN       1.0       NaN       3.0       5.0   \n",
       "\n",
       "customer_id  63109852  63110013  63112086  63114071  63121791  63133456  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       1.0       NaN       2.0       NaN   \n",
       "1                 NaN       2.0       NaN       NaN       8.0       1.0   \n",
       "2                 NaN       2.0       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       3.0       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  63140042  63144428  63144735  63145287  63145794  63146105  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       2.0       NaN       2.0       NaN       3.0   \n",
       "1                 1.0       4.0       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       2.0       NaN       NaN       NaN       2.0   \n",
       "4                 NaN       1.0       NaN       3.0       2.0       2.0   \n",
       "\n",
       "customer_id  63146644  63151507  63154712  63156799  63159770  63162438  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       1.0       1.0       4.0       NaN   \n",
       "1                 1.0       1.0       NaN       NaN       NaN       NaN   \n",
       "2                 4.0       NaN       NaN       NaN      10.0       NaN   \n",
       "3                 5.0       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  63164136  63169283  63169332  63171651  63173644  63173740  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       NaN       NaN       3.0       NaN   \n",
       "1                 NaN       NaN       2.0       2.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "3                 1.0       1.0       NaN       2.0       NaN       1.0   \n",
       "4                 NaN       1.0       1.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  63178980  63206393  63229039  63231475  63233186  63243545  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN      41.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN      24.0       NaN   \n",
       "2                 NaN       1.0       NaN       NaN      15.0       NaN   \n",
       "3                 NaN       NaN       NaN       NaN      13.0       NaN   \n",
       "4                 2.0       NaN       NaN       NaN      62.0       NaN   \n",
       "\n",
       "customer_id  63254157  63255234  63255282  63265381  63270283  63273720  \\\n",
       "num_day                                                                   \n",
       "0                 3.0       NaN       3.0       2.0       NaN       NaN   \n",
       "1                 5.0       NaN       NaN       2.0       NaN       NaN   \n",
       "2                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       3.0       NaN       NaN       NaN   \n",
       "4                 2.0       NaN       3.0       4.0       NaN       NaN   \n",
       "\n",
       "customer_id  63278887  63281295  63294650  63299169  63300474  63304022  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       5.0       2.0       NaN       3.0   \n",
       "1                 NaN       2.0       2.0       NaN       4.0       NaN   \n",
       "2                 NaN       NaN       1.0       NaN       1.0       3.0   \n",
       "3                 NaN       1.0       1.0       1.0       NaN       1.0   \n",
       "4                 NaN       NaN       3.0       3.0       1.0       5.0   \n",
       "\n",
       "customer_id  63305351  63311784  63314146  63325893  63382686  63387697  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       1.0       1.0       NaN       1.0   \n",
       "2                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  63387944  63389358  63394997  63408177  63418672  63424255  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "1                 NaN       1.0       NaN       NaN       2.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       1.0       1.0       NaN       NaN       NaN   \n",
       "4                 NaN       2.0       NaN       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  63435663  63439723  63445893  63451946  63470330  63474988  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       6.0   \n",
       "1                 NaN       NaN       NaN       3.0       NaN       1.0   \n",
       "2                 NaN       NaN       NaN       1.0       NaN       1.0   \n",
       "3                 NaN       NaN       NaN       7.0       NaN       5.0   \n",
       "4                 NaN       NaN       NaN       2.0       NaN       4.0   \n",
       "\n",
       "customer_id  63476418  63478078  63479862  63481603  63497183  63497618  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       3.0       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  63524020  63532469  63547841  63550907  63557480  63560017  \\\n",
       "num_day                                                                   \n",
       "0                 4.0       1.0       NaN       2.0       NaN       2.0   \n",
       "1                 1.0       4.0       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       3.0       NaN       NaN       NaN       NaN   \n",
       "3                 2.0       3.0       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  63566482  63567342  63572702  63576914  63577902  63578851  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       NaN       NaN       7.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       6.0       NaN   \n",
       "2                 2.0       NaN       NaN       NaN       4.0       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       6.0       NaN   \n",
       "4                 NaN       NaN       1.0       NaN       3.0       NaN   \n",
       "\n",
       "customer_id  63579862  63581453  63584479  63592952  63594478  63600387  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       1.0       NaN       NaN       NaN   \n",
       "1                 6.0       NaN       NaN       2.0       NaN       NaN   \n",
       "2                 3.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 1.0       NaN       1.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  63603210  63610244  63614657  63627959  63636771  63640377  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       2.0       NaN       NaN       NaN       3.0   \n",
       "1                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       2.0       1.0   \n",
       "\n",
       "customer_id  63654730  63656904  63660394  63661024  63688905  63690311  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  63697046  63699205  63701376  63710536  63711780  63720618  \\\n",
       "num_day                                                                   \n",
       "0                 3.0       NaN       NaN       1.0       NaN       1.0   \n",
       "1                 NaN       NaN       NaN       2.0       NaN       1.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       2.0       NaN       2.0   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  63721223  63723940  63726080  63729265  63734056  63738439  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       1.0       NaN       2.0       NaN   \n",
       "2                 NaN       NaN       4.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       3.0       NaN       NaN   \n",
       "4                 NaN       NaN       1.0       6.0       1.0       NaN   \n",
       "\n",
       "customer_id  63749972  63753335  63757881  63770741  63782297  63791366  \\\n",
       "num_day                                                                   \n",
       "0                 4.0       NaN       NaN       NaN       NaN       1.0   \n",
       "1                 8.0       NaN       1.0       NaN       NaN       NaN   \n",
       "2                 3.0       NaN       NaN       NaN       NaN       1.0   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "4                 NaN       NaN       1.0       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  63800365  63801566  63802992  63815810  63823503  63826837  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       6.0       2.0       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "2                 1.0       3.0       2.0       NaN       NaN       1.0   \n",
       "3                 1.0       3.0       NaN       NaN       NaN       3.0   \n",
       "4                 NaN       1.0       NaN       NaN       1.0       1.0   \n",
       "\n",
       "customer_id  63828136  63833221  63839241  63840263  63842332  63847776  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "1                 NaN       NaN       2.0       NaN       2.0       2.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "3                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "4                 NaN       NaN       1.0       NaN       2.0       1.0   \n",
       "\n",
       "customer_id  63850645  63852015  63862735  63862815  63862868  63864494  \\\n",
       "num_day                                                                   \n",
       "0                 3.0       NaN       1.0       1.0       2.0       1.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 2.0       NaN       NaN       NaN       2.0       NaN   \n",
       "3                 3.0       1.0       NaN       2.0       1.0       1.0   \n",
       "4                 2.0       NaN       NaN       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  63878148  63879297  63880907  63881871  63882639  63886354  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "1                 NaN       1.0       NaN       NaN       1.0       3.0   \n",
       "2                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       1.0       1.0   \n",
       "4                 NaN       NaN       NaN       1.0       2.0       NaN   \n",
       "\n",
       "customer_id  63887417  63898901  63908670  63911920  63923246  63929380  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       1.0       3.0       NaN   \n",
       "4                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  63934272  63935351  63936802  63944126  63953233  63956178  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       4.0       2.0   \n",
       "\n",
       "customer_id  63965959  63974778  63983547  64000461  64004910  64017478  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       1.0       NaN       1.0   \n",
       "1                 NaN       NaN       1.0       1.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "3                 1.0       NaN       NaN       1.0       NaN       NaN   \n",
       "4                 NaN       1.0       NaN       2.0       NaN       2.0   \n",
       "\n",
       "customer_id  64026830  64026953  64029834  64030526  64038277  64043233  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       1.0       NaN       4.0       NaN       NaN   \n",
       "1                 NaN       7.0       1.0       7.0       NaN       1.0   \n",
       "2                 NaN       4.0       NaN       1.0       NaN       NaN   \n",
       "3                 1.0       NaN       NaN       4.0       NaN       1.0   \n",
       "4                 1.0       5.0       NaN       1.0       NaN       4.0   \n",
       "\n",
       "customer_id  64050247  64056554  64064066  64070636  64075663  64080161  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       NaN       NaN       8.0       NaN   \n",
       "1                 2.0       2.0       NaN       NaN       2.0       NaN   \n",
       "2                 NaN       2.0       NaN       NaN       NaN       NaN   \n",
       "3                 3.0       NaN       NaN       NaN       9.0       NaN   \n",
       "4                 2.0       NaN       NaN       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  64085428  64087631  64089475  64094297  64099732  64103974  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       NaN       2.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       4.0       NaN   \n",
       "2                 NaN       NaN       NaN       1.0       5.0       NaN   \n",
       "3                 NaN       NaN       NaN       1.0       1.0       NaN   \n",
       "4                 NaN       NaN       NaN       1.0       2.0       NaN   \n",
       "\n",
       "customer_id  64121750  64128304  64136501  64152962  64165885  64172822  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       3.0       NaN       NaN       1.0   \n",
       "1                 NaN       NaN       6.0       NaN       NaN       NaN   \n",
       "2                 2.0       NaN       1.0       NaN       NaN       1.0   \n",
       "3                 3.0       NaN       5.0       NaN       NaN       2.0   \n",
       "4                 2.0       1.0       2.0       NaN       3.0       NaN   \n",
       "\n",
       "customer_id  64188812  64196239  64198553  64202031  64208339  64222251  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       1.0       3.0       NaN   \n",
       "1                 NaN       1.0       1.0       2.0       NaN       1.0   \n",
       "2                 3.0       NaN       NaN       2.0       NaN       NaN   \n",
       "3                 4.0       NaN       NaN       1.0       1.0       NaN   \n",
       "4                 5.0       NaN       2.0       2.0       NaN       1.0   \n",
       "\n",
       "customer_id  64228662  64243199  64245212  64250664  64261604  64266161  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       2.0       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       5.0       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       3.0       NaN       1.0       NaN       NaN   \n",
       "3                 NaN       5.0       NaN       NaN       2.0       NaN   \n",
       "4                 NaN       2.0       NaN       NaN       2.0       NaN   \n",
       "\n",
       "customer_id  64284043  64294802  64306331  64310958  64312699  64312830  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       4.0       2.0       NaN       1.0       NaN   \n",
       "1                 NaN       5.0       5.0       NaN       NaN       NaN   \n",
       "2                 NaN       3.0       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       4.0       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       1.0       NaN       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  64332749  64337148  64342204  64359200  64364067  64368728  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       1.0       NaN       3.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       3.0       NaN   \n",
       "2                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       4.0       NaN       NaN   \n",
       "4                 2.0       NaN       NaN       2.0       1.0       NaN   \n",
       "\n",
       "customer_id  64369553  64373283  64391067  64392377  64398310  64398432  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       1.0       NaN       NaN       NaN   \n",
       "1                 NaN       1.0       1.0       NaN       1.0       NaN   \n",
       "2                 NaN       NaN       1.0       NaN       1.0       NaN   \n",
       "3                 1.0       1.0       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       3.0       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  64404394  64405149  64410602  64418922  64443795  64456915  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       3.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "2                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  64472759  64496934  64497822  64499477  64504493  64504832  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 1.0       1.0       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       3.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  64510946  64522548  64530618  64532057  64543174  64546343  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       3.0       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       3.0       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  64548384  64560739  64568194  64568634  64582057  64584327  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       1.0       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "2                 NaN       1.0       6.0       NaN       NaN       NaN   \n",
       "3                 NaN       3.0       3.0       NaN       NaN       NaN   \n",
       "4                 NaN       6.0       3.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  64598146  64612686  64615129  64617678  64627292  64627741  \\\n",
       "num_day                                                                   \n",
       "0                 5.0       1.0       2.0       1.0       NaN       NaN   \n",
       "1                 9.0       NaN       NaN       7.0       NaN       NaN   \n",
       "2                 1.0       NaN       NaN       2.0       NaN       NaN   \n",
       "3                 1.0       NaN       NaN       1.0       NaN       NaN   \n",
       "4                 2.0       1.0       7.0       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  64634486  64637880  64647717  64647853  64663396  64664590  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "3                 1.0       NaN       1.0       NaN       NaN       1.0   \n",
       "4                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  64671404  64684055  64687471  64689367  64689698  64690140  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       9.0       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       3.0       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       4.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  64694340  64697439  64700052  64701057  64706705  64708091  \\\n",
       "num_day                                                                   \n",
       "0                 3.0       NaN       2.0       NaN       NaN       NaN   \n",
       "1                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 4.0       1.0       NaN       NaN       NaN       NaN   \n",
       "3                 2.0       NaN       NaN       NaN       NaN       1.0   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  64718123  64727059  64752743  64756863  64759433  64768263  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       1.0       1.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       1.0       1.0   \n",
       "2                 NaN       1.0       NaN       NaN       1.0       NaN   \n",
       "3                 3.0       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       1.0       1.0       NaN       1.0       2.0   \n",
       "\n",
       "customer_id  64772015  64779546  64791803  64800004  64806636  64810400  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       1.0       NaN       NaN       2.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       3.0       NaN   \n",
       "\n",
       "customer_id  64810479  64816448  64829915  64836990  64845466  64849998  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       2.0       1.0       NaN   \n",
       "1                 NaN       NaN       NaN       1.0       1.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 1.0       NaN       1.0       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  64855819  64862509  64863044  64869635  64878557  64879985  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "3                 NaN       6.0       NaN       1.0       NaN       NaN   \n",
       "4                 2.0       NaN       NaN       NaN       2.0       NaN   \n",
       "\n",
       "customer_id  64887407  64887559  64926716  64932205  64936619  64938093  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       2.0       3.0       NaN       3.0       NaN   \n",
       "1                 NaN       1.0       NaN       2.0       NaN       NaN   \n",
       "2                 2.0       1.0       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       1.0       1.0       4.0       NaN   \n",
       "4                 2.0       5.0       NaN       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  64947376  64950878  64952541  64953765  64956931  64960269  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "1                 NaN       5.0       NaN       NaN       NaN       2.0   \n",
       "2                 NaN       NaN       NaN       NaN       3.0       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       1.0       2.0   \n",
       "4                 NaN       1.0       NaN       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  64961212  64963998  64977335  64980975  64981425  64988012  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       3.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "3                 3.0       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       7.0       NaN       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  64995508  65002627  65002718  65015384  65026370  65035676  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       NaN       1.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       4.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       4.0       NaN   \n",
       "\n",
       "customer_id  65042620  65042737  65049167  65055799  65057898  65061144  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       4.0       NaN       1.0       NaN   \n",
       "1                 4.0       NaN       2.0       NaN       1.0       NaN   \n",
       "2                 NaN       NaN       5.0       NaN       NaN       NaN   \n",
       "3                 2.0       4.0       4.0       1.0       1.0       2.0   \n",
       "4                 NaN       1.0       2.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  65075641  65082603  65096679  65097836  65102839  65104213  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       1.0       NaN       NaN   \n",
       "1                 6.0       NaN       NaN       NaN       NaN       1.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 7.0       NaN       NaN       NaN       1.0       NaN   \n",
       "4                 1.0       NaN       NaN       NaN       9.0       NaN   \n",
       "\n",
       "customer_id  65105434  65120627  65128317  65141564  65148547  65149894  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       4.0       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  65151079  65154523  65154870  65158867  65179321  65183612  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       NaN       NaN       1.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       4.0   \n",
       "2                 1.0       NaN       NaN       NaN       NaN       1.0   \n",
       "3                 2.0       NaN       NaN       NaN       NaN       2.0   \n",
       "4                 2.0       NaN       NaN       NaN       NaN       2.0   \n",
       "\n",
       "customer_id  65190849  65193271  65205704  65212654  65218458  65220358  \\\n",
       "num_day                                                                   \n",
       "0                 3.0       NaN       2.0       NaN       2.0       NaN   \n",
       "1                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 3.0       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 7.0       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  65220466  65221973  65223281  65224677  65231233  65234865  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       4.0       3.0       2.0       1.0       NaN   \n",
       "1                 1.0       2.0       NaN       1.0       1.0       NaN   \n",
       "2                 NaN       2.0       1.0       1.0       3.0       NaN   \n",
       "3                 NaN       3.0       2.0       NaN       1.0       NaN   \n",
       "4                 NaN       2.0       4.0       2.0       1.0       NaN   \n",
       "\n",
       "customer_id  65238800  65258798  65278638  65278915  65283526  65292213  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       2.0       NaN       NaN       2.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 1.0       1.0       NaN       NaN       NaN       1.0   \n",
       "3                 NaN       2.0       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  65298387  65309740  65311903  65335407  65335641  65343106  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       3.0       NaN       1.0       1.0       NaN   \n",
       "1                 NaN       NaN       NaN       3.0       NaN       NaN   \n",
       "2                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 1.0       NaN       NaN       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  65346193  65352133  65356478  65368200  65375835  65384696  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       4.0       NaN       2.0   \n",
       "3                 NaN       NaN       NaN       2.0       1.0       3.0   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  65393099  65393640  65404471  65411135  65423932  65431683  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       3.0       NaN       2.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       3.0       1.0       1.0       NaN   \n",
       "\n",
       "customer_id  65460714  65460931  65463633  65465815  65472977  65473458  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       1.0       2.0       NaN       2.0       NaN   \n",
       "1                 NaN       2.0       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       1.0       6.0       NaN       1.0       NaN   \n",
       "3                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  65475647  65477485  65481729  65488357  65493433  65495599  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       3.0       1.0       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "2                 3.0       NaN       NaN       NaN       NaN       2.0   \n",
       "3                 2.0       NaN       NaN       NaN       NaN       1.0   \n",
       "4                 NaN       1.0       1.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  65501081  65511553  65526075  65550669  65554798  65568801  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       4.0       NaN       NaN       7.0   \n",
       "1                 NaN       NaN       4.0       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       1.0       1.0       NaN       NaN   \n",
       "3                 NaN       NaN       1.0       2.0       1.0       NaN   \n",
       "4                 NaN       1.0       3.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  65571186  65588133  65589142  65596907  65603140  65605432  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "2                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  65608139  65613676  65617755  65624593  65625505  65638914  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       4.0       NaN       NaN   \n",
       "1                 2.0       3.0       NaN       1.0       NaN       1.0   \n",
       "2                 NaN       NaN       NaN       1.0       NaN       3.0   \n",
       "3                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "4                 1.0       NaN       4.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  65639862  65656334  65658944  65683576  65686227  65721806  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       1.0       5.0       NaN       NaN       2.0   \n",
       "1                 2.0       1.0       NaN       NaN       NaN       1.0   \n",
       "2                 6.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 4.0       3.0       2.0       NaN       NaN       1.0   \n",
       "4                 3.0       3.0       NaN       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  65728672  65734444  65736030  65745245  65758751  65762424  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       2.0       NaN       NaN       NaN   \n",
       "1                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 3.0       NaN       1.0       NaN       NaN       NaN   \n",
       "4                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  65765985  65773526  65797083  65801943  65803757  65817315  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       NaN       NaN       4.0   \n",
       "1                 NaN       1.0       NaN       1.0       NaN       1.0   \n",
       "2                 1.0       2.0       NaN       1.0       1.0       NaN   \n",
       "3                 3.0       1.0       NaN       NaN       1.0       1.0   \n",
       "4                 2.0       1.0       NaN       1.0       NaN       2.0   \n",
       "\n",
       "customer_id  65820723  65825574  65825905  65826992  65831532  65833509  \\\n",
       "num_day                                                                   \n",
       "0                 3.0       NaN       1.0       2.0       3.0       2.0   \n",
       "1                 3.0       NaN       NaN       1.0       NaN       5.0   \n",
       "2                 2.0       NaN       1.0       2.0       3.0       2.0   \n",
       "3                 NaN       NaN       NaN       1.0       1.0       1.0   \n",
       "4                 NaN       NaN       NaN       2.0       NaN       1.0   \n",
       "\n",
       "customer_id  65860007  65862647  65864171  65870886  65874033  65876954  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       1.0       NaN       NaN       1.0   \n",
       "1                 NaN       1.0       NaN       NaN       1.0       NaN   \n",
       "2                 NaN       3.0       3.0       2.0       1.0       NaN   \n",
       "3                 NaN       NaN       1.0       2.0       2.0       NaN   \n",
       "4                 NaN       NaN       2.0       2.0       1.0       2.0   \n",
       "\n",
       "customer_id  65883320  65885502  65891854  65895165  65908463  65910902  \\\n",
       "num_day                                                                   \n",
       "0                 4.0       3.0       NaN       NaN       3.0       NaN   \n",
       "1                 6.0       2.0       NaN       NaN       4.0       NaN   \n",
       "2                 NaN       2.0       NaN       NaN       2.0       NaN   \n",
       "3                 4.0       NaN       NaN       5.0       4.0       NaN   \n",
       "4                 4.0       1.0       NaN       1.0       8.0       NaN   \n",
       "\n",
       "customer_id  65933176  65943371  65945953  65948703  65952527  65956325  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 2.0       NaN       NaN       NaN       NaN       1.0   \n",
       "2                 NaN       1.0       NaN       NaN       1.0       NaN   \n",
       "3                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       1.0       3.0       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  65962287  65965836  65981094  65982943  65983905  65985063  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       2.0       NaN       NaN       1.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 1.0       NaN       3.0       NaN       NaN       NaN   \n",
       "4                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  65995806  66019252  66020115  66031113  66039432  66050282  \\\n",
       "num_day                                                                   \n",
       "0                 6.0       1.0       1.0       NaN       2.0       NaN   \n",
       "1                 NaN       NaN       3.0       NaN       NaN       NaN   \n",
       "2                 NaN       4.0       4.0       NaN       NaN       NaN   \n",
       "3                 2.0       NaN       1.0       NaN       NaN       NaN   \n",
       "4                 2.0       1.0       1.0       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  66051661  66061266  66075103  66076043  66078283  66085151  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       1.0       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       3.0       1.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       5.0       NaN   \n",
       "3                 NaN       2.0       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  66096689  66097631  66104573  66116219  66118344  66118785  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       4.0       2.0       NaN       5.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       3.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "4                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "\n",
       "customer_id  66119425  66132744  66143775  66144639  66145899  66146116  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       1.0       1.0       1.0       NaN       1.0   \n",
       "1                 1.0       NaN       1.0       NaN       4.0       NaN   \n",
       "2                 NaN       NaN       NaN       1.0       2.0       2.0   \n",
       "3                 2.0       1.0       NaN       NaN       NaN       1.0   \n",
       "4                 1.0       NaN       NaN       1.0       3.0       NaN   \n",
       "\n",
       "customer_id  66147149  66153079  66158300  66171394  66187633  66189880  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 3.0       NaN       1.0       NaN       NaN       2.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 1.0       NaN       NaN       NaN       NaN       3.0   \n",
       "\n",
       "customer_id  66190992  66191490  66197314  66205516  66206996  66216815  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       2.0       3.0       1.0       NaN       NaN   \n",
       "1                 NaN       NaN       2.0       NaN       NaN       2.0   \n",
       "2                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "3                 NaN       1.0       NaN       1.0       NaN       1.0   \n",
       "4                 NaN       1.0       5.0       NaN       1.0       2.0   \n",
       "\n",
       "customer_id  66221676  66223021  66227697  66241278  66242493  66245004  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  66250675  66255598  66256416  66269250  66274097  66277300  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       2.0       NaN       NaN       NaN       NaN   \n",
       "1                 1.0       2.0       NaN       NaN       1.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       2.0       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       3.0       NaN   \n",
       "\n",
       "customer_id  66284593  66285252  66287048  66288933  66291595  66293375  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       1.0       2.0       NaN       NaN   \n",
       "1                 NaN       3.0       NaN       2.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "4                 NaN       1.0       NaN       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  66302939  66311481  66333061  66336866  66338233  66342111  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       4.0       NaN       NaN   \n",
       "1                 NaN       2.0       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  66342931  66349382  66352696  66358761  66367958  66368134  \\\n",
       "num_day                                                                   \n",
       "0                 3.0       NaN       1.0       NaN       3.0       2.0   \n",
       "1                 NaN       NaN       1.0       NaN       4.0       2.0   \n",
       "2                 1.0       NaN       NaN       NaN       4.0       NaN   \n",
       "3                 1.0       NaN       1.0       NaN       2.0       2.0   \n",
       "4                 3.0       NaN       1.0       NaN       1.0       3.0   \n",
       "\n",
       "customer_id  66368459  66372978  66380446  66382055  66385759  66388543  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       1.0       1.0       7.0       NaN       4.0   \n",
       "1                 4.0       NaN       NaN       5.0       NaN       2.0   \n",
       "2                 4.0       2.0       1.0       NaN       NaN       1.0   \n",
       "3                 2.0       1.0       NaN       5.0       NaN       NaN   \n",
       "4                 NaN       1.0       1.0       3.0       NaN       5.0   \n",
       "\n",
       "customer_id  66391854  66418902  66434526  66452033  66452942  66463862  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       7.0       NaN       NaN       1.0       NaN   \n",
       "1                 NaN       4.0       1.0       NaN       NaN       NaN   \n",
       "2                 NaN       2.0       1.0       NaN       1.0       NaN   \n",
       "3                 NaN       1.0       1.0       NaN       1.0       1.0   \n",
       "4                 NaN       NaN       NaN       NaN       1.0       1.0   \n",
       "\n",
       "customer_id  66473821  66477600  66483256  66495185  66498262  66499894  \\\n",
       "num_day                                                                   \n",
       "0                 4.0       NaN       NaN       2.0       NaN       NaN   \n",
       "1                 2.0       NaN       2.0       NaN       NaN       NaN   \n",
       "2                 1.0       NaN       NaN       NaN       NaN       3.0   \n",
       "3                 3.0       NaN       NaN       3.0       1.0       3.0   \n",
       "4                 2.0       NaN       1.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  66517978  66520469  66529254  66531409  66532772  66557169  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       1.0      10.0       2.0       NaN       3.0   \n",
       "3                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  66561175  66565999  66568484  66572743  66574653  66575542  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       1.0       NaN       NaN   \n",
       "1                 4.0       NaN       2.0       1.0       1.0       1.0   \n",
       "2                 NaN       NaN       2.0       1.0       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       1.0       1.0       NaN   \n",
       "4                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "\n",
       "customer_id  66580583  66587797  66588178  66591843  66600468  66616905  \\\n",
       "num_day                                                                   \n",
       "0                 3.0       NaN       NaN       1.0       NaN       NaN   \n",
       "1                 1.0       NaN       1.0       NaN       NaN       NaN   \n",
       "2                 NaN       1.0       1.0       NaN      10.0       NaN   \n",
       "3                 NaN       1.0       1.0       NaN       2.0       5.0   \n",
       "4                 7.0       NaN       1.0       NaN       1.0       1.0   \n",
       "\n",
       "customer_id  66628884  66639275  66644039  66647597  66653810  66657662  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       4.0       5.0       NaN   \n",
       "1                 NaN       NaN       1.0       4.0       3.0       NaN   \n",
       "2                 NaN       NaN       NaN       5.0       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       1.0       2.0       NaN   \n",
       "4                 NaN       3.0       NaN       1.0       2.0       NaN   \n",
       "\n",
       "customer_id  66662997  66676781  66679335  66685376  66688816  66702639  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       1.0       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       1.0       7.0       NaN       NaN       NaN   \n",
       "2                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       1.0       1.0       NaN       NaN       NaN   \n",
       "4                 1.0       NaN       1.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  66712056  66714675  66717911  66729391  66731320  66738934  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       NaN       NaN       NaN       1.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       6.0   \n",
       "2                 1.0       NaN       NaN       NaN       1.0       1.0   \n",
       "3                 1.0       NaN       NaN       NaN       NaN       4.0   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       3.0   \n",
       "\n",
       "customer_id  66739958  66740873  66743297  66751696  66753025  66755798  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       2.0       NaN       3.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  66761122  66768506  66778394  66801222  66802399  66802490  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       NaN       NaN       2.0       1.0   \n",
       "1                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       1.0       9.0       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       1.0       2.0   \n",
       "4                 NaN       NaN       NaN       2.0       5.0       2.0   \n",
       "\n",
       "customer_id  66813517  66817404  66825031  66827792  66837341  66838542  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "2                 NaN       3.0       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "4                 NaN       1.0       NaN       NaN       NaN       2.0   \n",
       "\n",
       "customer_id  66843516  66849308  66862432  66864421  66875893  66877270  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       3.0       NaN       2.0       NaN   \n",
       "1                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       8.0       NaN   \n",
       "4                 NaN       NaN       1.0       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  66878421  66887777  66893240  66894718  66894927  66917518  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       2.0       NaN       NaN       NaN       1.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       5.0       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       2.0       NaN       NaN       NaN       1.0   \n",
       "4                 3.0       5.0       NaN       4.0       NaN       5.0   \n",
       "\n",
       "customer_id  66923876  66936891  66954517  66956350  66962059  66967190  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       2.0       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       2.0       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "3                 1.0       6.0       2.0       NaN       NaN       1.0   \n",
       "4                 4.0       2.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  66977616  66985041  66985706  66986757  66990882  66997100  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       3.0       3.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       3.0       1.0   \n",
       "3                 NaN       1.0       NaN       1.0       4.0       1.0   \n",
       "4                 NaN       2.0       NaN       NaN       2.0       NaN   \n",
       "\n",
       "customer_id  67014164  67035120  67042710  67044735  67046686  67046767  \\\n",
       "num_day                                                                   \n",
       "0                 3.0       NaN       NaN       NaN       NaN       2.0   \n",
       "1                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 2.0       1.0       NaN       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  67053105  67058810  67070728  67071515  67075839  67080684  \\\n",
       "num_day                                                                   \n",
       "0                 4.0       NaN       1.0       3.0       NaN       NaN   \n",
       "1                 NaN       NaN       1.0       2.0       NaN       NaN   \n",
       "2                 2.0       NaN       NaN       1.0       NaN       NaN   \n",
       "3                 3.0       NaN       NaN       1.0       NaN       NaN   \n",
       "4                 2.0       NaN       1.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  67087438  67087806  67088724  67093735  67104228  67106063  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       2.0       1.0       NaN       NaN   \n",
       "1                 NaN       NaN       2.0       1.0       NaN       NaN   \n",
       "2                 NaN       NaN       3.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       3.0       NaN       NaN       NaN   \n",
       "4                 NaN       3.0       NaN       2.0       NaN       NaN   \n",
       "\n",
       "customer_id  67118981  67126343  67135024  67137605  67138881  67146223  \\\n",
       "num_day                                                                   \n",
       "0                 3.0       NaN       1.0       NaN       1.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       3.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "3                 1.0       NaN       NaN       NaN       5.0       NaN   \n",
       "4                 1.0       1.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  67149540  67157579  67162163  67164724  67167838  67175981  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       2.0       1.0       NaN       NaN   \n",
       "1                 2.0       NaN       4.0       3.0       NaN       1.0   \n",
       "2                 2.0       NaN       2.0       1.0       NaN       NaN   \n",
       "3                 1.0       NaN       2.0       2.0       NaN       NaN   \n",
       "4                 2.0       NaN       1.0       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  67193294  67196163  67199676  67204016  67206030  67216029  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       2.0       1.0       NaN   \n",
       "1                 NaN       NaN       NaN       1.0       1.0       NaN   \n",
       "2                 2.0       NaN       NaN       NaN       NaN       5.0   \n",
       "3                 1.0       NaN       1.0       NaN       1.0       1.0   \n",
       "4                 1.0       NaN       NaN       NaN       1.0       1.0   \n",
       "\n",
       "customer_id  67228612  67232660  67237463  67257684  67267524  67271436  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       9.0       NaN       NaN       9.0       1.0   \n",
       "1                 NaN       5.0       NaN       NaN       5.0       NaN   \n",
       "2                 NaN      10.0       NaN       NaN       4.0       2.0   \n",
       "3                 1.0       3.0       NaN       NaN       9.0       2.0   \n",
       "4                 1.0       1.0       NaN       NaN       8.0       1.0   \n",
       "\n",
       "customer_id  67271773  67280871  67292802  67294324  67298834  67316586  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       1.0       3.0       1.0       NaN       1.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       3.0       1.0       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  67320407  67323104  67327004  67328641  67334854  67346982  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       2.0       NaN       NaN       2.0       1.0   \n",
       "1                 NaN       NaN       NaN       NaN       1.0       1.0   \n",
       "2                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       2.0       NaN       1.0       NaN   \n",
       "4                 NaN       NaN       1.0       2.0       1.0       NaN   \n",
       "\n",
       "customer_id  67365860  67382369  67383493  67383663  67391213  67394175  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "2                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       3.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  67397421  67406385  67440285  67440736  67444980  67445225  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       1.0       2.0       1.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       1.0       7.0   \n",
       "3                 NaN       NaN       NaN       1.0       2.0       1.0   \n",
       "4                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  67446321  67448735  67453486  67465341  67466548  67473291  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       2.0       1.0       NaN   \n",
       "1                 NaN       NaN       NaN       1.0       3.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       1.0       NaN       4.0       2.0       NaN   \n",
       "4                 NaN       NaN       NaN       2.0       2.0       NaN   \n",
       "\n",
       "customer_id  67478814  67480620  67484084  67487740  67497098  67518654  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       4.0       NaN       NaN       NaN       1.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       4.0       2.0       NaN       NaN       NaN   \n",
       "4                 NaN       3.0       NaN       3.0       NaN       NaN   \n",
       "\n",
       "customer_id  67532973  67547399  67550128  67555827  67591093  67595521  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       2.0       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       1.0       NaN       1.0       NaN       1.0   \n",
       "2                 1.0       2.0       2.0       NaN       NaN       NaN   \n",
       "3                 1.0       2.0       NaN       NaN       NaN       1.0   \n",
       "4                 NaN       1.0       1.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  67596113  67598153  67608216  67617882  67628722  67642602  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "1                 1.0       2.0       NaN       NaN       2.0       NaN   \n",
       "2                 NaN       1.0       NaN       NaN       1.0       NaN   \n",
       "3                 NaN       NaN       4.0       NaN       3.0       NaN   \n",
       "4                 NaN       1.0       1.0       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  67648409  67650676  67665729  67675487  67680029  67680924  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       NaN       4.0       NaN   \n",
       "1                 1.0       NaN       NaN       2.0       NaN       NaN   \n",
       "2                 NaN       1.0       NaN       4.0       2.0       NaN   \n",
       "3                 1.0       2.0       NaN       NaN       2.0       NaN   \n",
       "4                 1.0       NaN       2.0       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  67688725  67708465  67710245  67715187  67717126  67717770  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       NaN       NaN       4.0   \n",
       "1                 1.0       1.0       NaN       NaN       NaN       5.0   \n",
       "2                 NaN       NaN       NaN       NaN       1.0       2.0   \n",
       "3                 NaN       NaN       NaN       NaN       2.0       4.0   \n",
       "4                 1.0       5.0       NaN       NaN       NaN       4.0   \n",
       "\n",
       "customer_id  67728458  67731915  67738197  67755320  67755456  67759312  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       NaN       1.0       3.0   \n",
       "1                 1.0       1.0       NaN       NaN       NaN       1.0   \n",
       "2                 2.0       2.0       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       2.0       NaN       NaN       2.0       NaN   \n",
       "4                 NaN       1.0       NaN       NaN       2.0       NaN   \n",
       "\n",
       "customer_id  67761403  67762606  67766235  67807920  67818644  67828097  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       3.0       NaN       NaN       NaN       2.0   \n",
       "1                 1.0       2.0       1.0       NaN       NaN       1.0   \n",
       "2                 NaN       2.0       4.0       NaN       NaN       2.0   \n",
       "3                 NaN       4.0       NaN       NaN       NaN       1.0   \n",
       "4                 NaN       1.0       1.0       NaN       4.0       4.0   \n",
       "\n",
       "customer_id  67842357  67843345  67849656  67850934  67866618  67874003  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       NaN       NaN       3.0   \n",
       "1                 NaN       NaN       1.0       NaN       NaN       2.0   \n",
       "2                 3.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 1.0       NaN       NaN       NaN       NaN       2.0   \n",
       "4                 1.0       NaN       1.0       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  67881606  67888328  67889174  67890598  67898574  67900960  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       NaN       4.0       1.0       2.0   \n",
       "1                 1.0       NaN       NaN       1.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "3                 1.0       NaN       NaN       6.0       1.0       1.0   \n",
       "4                 2.0       NaN       1.0       1.0       1.0       NaN   \n",
       "\n",
       "customer_id  67901119  67917142  67923421  67924508  67927807  67928733  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       2.0       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       2.0       NaN       1.0       NaN       2.0   \n",
       "2                 NaN       2.0       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       1.0       NaN       1.0   \n",
       "4                 2.0       2.0       NaN       NaN       NaN       2.0   \n",
       "\n",
       "customer_id  67934707  67939153  67945756  67948907  67965650  67969801  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       3.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "3                 1.0       NaN       NaN       NaN      16.0       NaN   \n",
       "4                 7.0       NaN       NaN       NaN       7.0       3.0   \n",
       "\n",
       "customer_id  67976637  67977687  67984042  67989047  67989878  68003889  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       1.0       NaN       NaN   \n",
       "1                 NaN       5.0       2.0       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       3.0   \n",
       "4                 NaN       2.0       1.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  68012693  68018851  68025255  68050945  68051153  68060506  \\\n",
       "num_day                                                                   \n",
       "0                 6.0       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 3.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "3                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 4.0       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  68065080  68078489  68079988  68089024  68089681  68090845  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "1                 3.0       NaN       5.0       NaN       NaN       3.0   \n",
       "2                 1.0       NaN       3.0       NaN       NaN       1.0   \n",
       "3                 NaN       NaN       6.0       NaN       NaN       1.0   \n",
       "4                 NaN       NaN       4.0       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  68091371  68099692  68101656  68105467  68119671  68123922  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       2.0       NaN       1.0   \n",
       "1                 NaN       NaN       4.0       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       1.0       1.0       NaN       1.0   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  68136440  68145896  68146409  68156212  68159369  68173839  \\\n",
       "num_day                                                                   \n",
       "0                 7.0       NaN       2.0       NaN       2.0       NaN   \n",
       "1                 1.0       NaN       NaN       NaN       1.0       NaN   \n",
       "2                 NaN       NaN       1.0       1.0       NaN       NaN   \n",
       "3                 1.0       NaN       5.0       NaN       1.0       NaN   \n",
       "4                 3.0       NaN       2.0       1.0       1.0       NaN   \n",
       "\n",
       "customer_id  68178858  68179791  68182157  68183337  68186112  68191064  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       NaN       NaN       1.0   \n",
       "1                 1.0       NaN       NaN       2.0       NaN       NaN   \n",
       "2                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 1.0       NaN       4.0       NaN       1.0       1.0   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  68202044  68219654  68222821  68234295  68235748  68246575  \\\n",
       "num_day                                                                   \n",
       "0                 5.0       NaN       NaN       NaN       1.0       NaN   \n",
       "1                 3.0       NaN       5.0       1.0       NaN       NaN   \n",
       "2                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 5.0       NaN       2.0       3.0       1.0       4.0   \n",
       "4                 8.0       NaN       1.0       NaN       NaN       3.0   \n",
       "\n",
       "customer_id  68248010  68248058  68253309  68257594  68273832  68277469  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       5.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       5.0   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       4.0       NaN   \n",
       "\n",
       "customer_id  68277946  68285639  68301956  68306351  68308642  68309319  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       NaN       1.0       4.0   \n",
       "1                 1.0       NaN       NaN       NaN       NaN       3.0   \n",
       "2                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       2.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  68310946  68312764  68326027  68334247  68334543  68337372  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       2.0       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       4.0       NaN       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  68346269  68353108  68356021  68362347  68363141  68368659  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       NaN       1.0       1.0   \n",
       "1                 3.0       NaN       NaN       NaN       4.0       1.0   \n",
       "2                 1.0       NaN       3.0       1.0       NaN       NaN   \n",
       "3                 NaN       NaN       2.0       NaN       2.0       2.0   \n",
       "4                 1.0       2.0       6.0       1.0       2.0       3.0   \n",
       "\n",
       "customer_id  68371332  68376742  68382273  68385632  68387921  68389637  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       1.0       2.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       3.0   \n",
       "2                 NaN       1.0       2.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       1.0       4.0   \n",
       "4                 NaN       NaN       NaN       2.0       NaN       6.0   \n",
       "\n",
       "customer_id  68390056  68393589  68393649  68393860  68395511  68399884  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       4.0       NaN       NaN       1.0   \n",
       "1                 NaN       NaN       3.0       NaN       NaN       NaN   \n",
       "2                 1.0       NaN       3.0       NaN       NaN       NaN   \n",
       "3                 1.0       4.0       3.0       NaN       NaN       NaN   \n",
       "4                 1.0       2.0       1.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  68410574  68416873  68424595  68428305  68428886  68428908  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "1                 3.0       NaN       1.0       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       3.0       NaN       NaN       NaN   \n",
       "3                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 1.0       NaN       1.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  68443364  68444868  68449618  68452969  68456799  68461637  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       3.0       3.0       NaN       NaN       3.0   \n",
       "1                 3.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 2.0       NaN       NaN       1.0       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  68473833  68483342  68493838  68495904  68511053  68515960  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       2.0       5.0       NaN   \n",
       "1                 NaN      11.0       NaN       4.0       1.0       NaN   \n",
       "2                 1.0       NaN       NaN       1.0       3.0       NaN   \n",
       "3                 NaN       NaN       NaN       5.0       3.0       NaN   \n",
       "4                 NaN       NaN       NaN       2.0       2.0       NaN   \n",
       "\n",
       "customer_id  68516664  68523842  68526161  68530030  68536701  68540284  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       2.0       NaN       NaN       2.0   \n",
       "1                 NaN       NaN       NaN       3.0       1.0       1.0   \n",
       "2                 NaN       NaN       2.0       3.0       2.0       NaN   \n",
       "3                 NaN       NaN       4.0       1.0       2.0       NaN   \n",
       "4                 1.0       NaN       5.0       2.0       3.0       NaN   \n",
       "\n",
       "customer_id  68553737  68566919  68575960  68599726  68600759  68601490  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       1.0       NaN       NaN       NaN       1.0   \n",
       "1                 NaN       NaN       NaN       1.0       NaN       3.0   \n",
       "2                 NaN       NaN       NaN       1.0       1.0       4.0   \n",
       "3                 3.0       NaN       NaN       NaN       NaN       1.0   \n",
       "4                 1.0       NaN       5.0       2.0       NaN       3.0   \n",
       "\n",
       "customer_id  68604501  68605036  68607680  68610623  68617599  68643191  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       6.0       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "4                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  68651573  68668303  68668328  68671525  68673406  68673641  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  68679782  68700668  68714935  68742453  68743861  68753997  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       5.0       NaN       NaN   \n",
       "2                 3.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "4                 4.0       NaN       NaN       1.0       1.0       NaN   \n",
       "\n",
       "customer_id  68761333  68764710  68766575  68779832  68794901  68796728  \\\n",
       "num_day                                                                   \n",
       "0                 6.0       NaN       1.0       NaN       2.0       1.0   \n",
       "1                 NaN       NaN       2.0       NaN       2.0       NaN   \n",
       "2                 NaN       NaN       1.0       NaN       1.0       NaN   \n",
       "3                 1.0       NaN       3.0       NaN       2.0       1.0   \n",
       "4                 5.0       NaN       5.0       NaN       2.0       2.0   \n",
       "\n",
       "customer_id  68799656  68800304  68813350  68824824  68831112  68832301  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       1.0       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       4.0       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       2.0       NaN       NaN       NaN       1.0   \n",
       "4                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  68833534  68836930  68838345  68844152  68845980  68850779  \\\n",
       "num_day                                                                   \n",
       "0                 3.0       3.0       1.0       NaN       NaN       NaN   \n",
       "1                 NaN       2.0       4.0       NaN       NaN       NaN   \n",
       "2                 NaN       1.0       3.0       NaN       NaN       3.0   \n",
       "3                 1.0       2.0       3.0       NaN       1.0       5.0   \n",
       "4                 NaN       NaN       1.0       NaN       2.0       1.0   \n",
       "\n",
       "customer_id  68859425  68859452  68870981  68874729  68885379  68893149  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       2.0       2.0       1.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  68896019  68897199  68901242  68904789  68910084  68916137  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       3.0       1.0       NaN       4.0       NaN   \n",
       "1                 NaN       NaN       2.0       NaN       2.0       NaN   \n",
       "2                 NaN       NaN       7.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       1.0       NaN       3.0       3.0   \n",
       "4                 NaN       NaN       NaN       NaN       4.0       1.0   \n",
       "\n",
       "customer_id  68918342  68920219  68928446  68937660  68938674  68939124  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       2.0       NaN       2.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       4.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       2.0       1.0   \n",
       "3                 2.0       NaN       1.0       NaN       4.0       NaN   \n",
       "4                 1.0       NaN       NaN       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  68945476  68955791  68958958  68961483  68961647  68965368  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       2.0       NaN       2.0       NaN       NaN   \n",
       "\n",
       "customer_id  68967565  68978319  68979981  68986697  68988272  68993750  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       NaN       1.0       NaN   \n",
       "1                 1.0       1.0       NaN       NaN       NaN       NaN   \n",
       "2                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 1.0       1.0       NaN       NaN       1.0       NaN   \n",
       "4                 1.0       1.0       NaN       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  68995347  68999916  69006499  69015745  69036228  69049109  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       3.0       NaN       NaN       NaN       4.0   \n",
       "1                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "3                 NaN       2.0       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       4.0       NaN       NaN       NaN       8.0   \n",
       "\n",
       "customer_id  69052112  69054650  69057138  69065209  69068274  69073376  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       2.0       1.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       4.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       4.0       NaN       NaN   \n",
       "3                 NaN       1.0       NaN       6.0       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       4.0       3.0       2.0   \n",
       "\n",
       "customer_id  69076195  69079482  69079911  69086434  69088918  69092210  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       4.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "2                 NaN       NaN       NaN       1.0       1.0       NaN   \n",
       "3                 NaN       NaN       1.0       NaN       2.0       NaN   \n",
       "4                 NaN       NaN       NaN       2.0       1.0       NaN   \n",
       "\n",
       "customer_id  69100576  69101708  69105757  69107082  69118176  69123469  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       5.0       NaN       NaN       1.0       NaN   \n",
       "1                 2.0       7.0       NaN       NaN       1.0       NaN   \n",
       "2                 NaN       2.0       NaN       NaN       2.0       NaN   \n",
       "3                 1.0       4.0       3.0       NaN       NaN       1.0   \n",
       "4                 NaN       2.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  69124433  69131449  69132063  69142971  69148229  69158245  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       1.0       2.0       1.0       1.0   \n",
       "1                 NaN       3.0       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       1.0       1.0       3.0       NaN       9.0   \n",
       "3                 NaN       NaN       NaN       1.0       2.0       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  69160588  69161700  69173215  69174409  69189450  69191136  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       1.0       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       1.0       1.0       NaN   \n",
       "2                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 1.0       1.0       1.0       NaN       2.0       NaN   \n",
       "4                 NaN       4.0       1.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  69196717  69197914  69200489  69202436  69228691  69243840  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       8.0       NaN       NaN       2.0   \n",
       "1                 NaN       NaN       3.0       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       3.0       2.0       NaN       1.0   \n",
       "3                 NaN       NaN       3.0       NaN       NaN       2.0   \n",
       "4                 NaN       NaN       2.0       NaN       NaN       2.0   \n",
       "\n",
       "customer_id  69269626  69270294  69273181  69279297  69284063  69284349  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       3.0       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       2.0       NaN       1.0       NaN   \n",
       "3                 NaN       NaN       1.0       NaN       1.0       NaN   \n",
       "4                 1.0       1.0       NaN       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  69286894  69302909  69303302  69313142  69315957  69319418  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       2.0       NaN       NaN       NaN   \n",
       "1                 2.0       NaN       3.0       NaN       NaN       NaN   \n",
       "2                 7.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 1.0       NaN       2.0       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       1.0       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  69323066  69323403  69324145  69341664  69348468  69366360  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       3.0       4.0       2.0   \n",
       "1                 NaN       NaN       NaN       4.0       1.0       2.0   \n",
       "2                 NaN       NaN       2.0       2.0       1.0       NaN   \n",
       "3                 NaN       NaN       1.0       3.0       1.0       2.0   \n",
       "4                 NaN       1.0       NaN       2.0       NaN       NaN   \n",
       "\n",
       "customer_id  69366778  69368089  69368128  69396837  69401263  69406041  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       3.0       2.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       2.0       1.0       1.0       NaN   \n",
       "3                 NaN       NaN       4.0       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       2.0       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  69407297  69414449  69415814  69423041  69435148  69447665  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 2.0       NaN       NaN       NaN       NaN       1.0   \n",
       "4                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  69448329  69465540  69471053  69481975  69487700  69491655  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       2.0       2.0       NaN       NaN   \n",
       "1                 4.0       NaN       NaN       1.0       NaN       2.0   \n",
       "2                 3.0       NaN       NaN       NaN       NaN       2.0   \n",
       "3                 4.0       NaN       2.0       1.0       NaN       1.0   \n",
       "4                 NaN       NaN       1.0       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  69494290  69494630  69512175  69512179  69524587  69532010  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "1                 NaN       1.0       NaN       NaN       NaN       3.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "4                 NaN       2.0       NaN       2.0       1.0       3.0   \n",
       "\n",
       "customer_id  69546316  69549133  69555949  69560142  69570928  69573049  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  69573062  69586432  69587520  69593249  69598297  69602101  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       1.0       NaN       NaN       1.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 1.0       NaN       5.0       NaN       NaN       1.0   \n",
       "3                 NaN       NaN       3.0       NaN       NaN       3.0   \n",
       "4                 NaN       NaN       3.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  69608221  69609386  69613297  69628963  69638863  69639969  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       1.0       NaN       1.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  69642352  69646893  69669151  69683810  69685927  69687686  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       NaN       NaN       2.0       4.0   \n",
       "1                 3.0       NaN       4.0       NaN       NaN       1.0   \n",
       "2                 2.0       NaN       NaN       NaN       NaN       1.0   \n",
       "3                 2.0       NaN       2.0       NaN       NaN       1.0   \n",
       "4                 5.0       NaN       NaN       NaN       2.0       3.0   \n",
       "\n",
       "customer_id  69687814  69693001  69698446  69702084  69705190  69705338  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       NaN       4.0       4.0   \n",
       "1                 NaN       NaN       1.0       1.0       4.0       4.0   \n",
       "2                 1.0       NaN       1.0       NaN       NaN       6.0   \n",
       "3                 NaN       NaN       2.0       NaN       4.0       3.0   \n",
       "4                 1.0       1.0       3.0       NaN       NaN       6.0   \n",
       "\n",
       "customer_id  69711372  69712465  69713869  69715217  69726054  69735462  \\\n",
       "num_day                                                                   \n",
       "0                 3.0       3.0       NaN       NaN       6.0       4.0   \n",
       "1                 1.0       1.0       NaN       NaN       2.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "3                 3.0       1.0       NaN       NaN       1.0       NaN   \n",
       "4                 5.0       NaN       NaN       1.0       3.0       NaN   \n",
       "\n",
       "customer_id  69742166  69743356  69744606  69757958  69765249  69781882  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 1.0       2.0       NaN       NaN       2.0       NaN   \n",
       "2                 NaN       1.0       NaN       NaN       1.0       NaN   \n",
       "3                 1.0       NaN       NaN       NaN       4.0       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  69782718  69782822  69788889  69802115  69818496  69821480  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       2.0       NaN       NaN       5.0       NaN   \n",
       "1                 2.0       2.0       NaN       2.0       1.0       NaN   \n",
       "2                 1.0       2.0       NaN       1.0       1.0       NaN   \n",
       "3                 1.0       2.0       3.0       NaN       NaN       1.0   \n",
       "4                 NaN       2.0       NaN       1.0       4.0       NaN   \n",
       "\n",
       "customer_id  69821687  69829611  69832318  69841419  69842066  69847265  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       1.0       NaN       NaN       4.0       1.0   \n",
       "1                 1.0       4.0       NaN       NaN       2.0       1.0   \n",
       "2                 1.0       1.0       NaN       NaN       NaN       NaN   \n",
       "3                 1.0       1.0       NaN       NaN       3.0       NaN   \n",
       "4                 1.0       1.0       NaN       NaN       2.0       1.0   \n",
       "\n",
       "customer_id  69850002  69859713  69867854  69868888  69873657  69876998  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 1.0       NaN       NaN       NaN       1.0       1.0   \n",
       "2                 2.0       NaN       4.0       NaN       1.0       5.0   \n",
       "3                 6.0       NaN       NaN       NaN       1.0       NaN   \n",
       "4                 2.0       NaN       1.0       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  69883643  69886005  69897761  69904612  69906772  69907295  \\\n",
       "num_day                                                                   \n",
       "0                 3.0       NaN       NaN       1.0       NaN       2.0   \n",
       "1                 5.0       1.0       NaN       NaN       NaN       NaN   \n",
       "2                 2.0       1.0       NaN       2.0       1.0       1.0   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "4                 NaN       2.0       NaN       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  69909483  69910844  69913615  69917117  69919173  69924028  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       8.0       NaN       NaN       NaN   \n",
       "1                 2.0       2.0       NaN       NaN       NaN       NaN   \n",
       "2                 1.0       NaN       2.0       1.0       NaN       NaN   \n",
       "3                 1.0       NaN      12.0       NaN       1.0       NaN   \n",
       "4                 3.0       NaN       4.0       NaN       2.0       NaN   \n",
       "\n",
       "customer_id  69925212  69930822  69934694  69942970  69955140  69963880  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       5.0       NaN       NaN   \n",
       "1                 NaN       NaN       2.0       1.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "3                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  69970853  69971972  69973522  69978228  69980397  69988527  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       2.0       NaN       1.0       NaN       NaN   \n",
       "2                 NaN       1.0       NaN       1.0       NaN       NaN   \n",
       "3                 NaN       4.0       NaN       1.0       NaN       NaN   \n",
       "4                 1.0       1.0       NaN       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  69990113  69993604  69993837  70003910  70027904  70029605  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN      11.0       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       7.0       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       4.0       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  70040545  70042394  70050692  70060751  70066447  70067992  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       2.0       1.0       NaN   \n",
       "3                 NaN       NaN       NaN       6.0       1.0       NaN   \n",
       "4                 NaN       NaN       NaN       3.0       NaN       NaN   \n",
       "\n",
       "customer_id  70096504  70109231  70114420  70128202  70132417  70135813  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       4.0       1.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       3.0   \n",
       "2                 NaN       NaN       NaN       NaN       4.0       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "4                 1.0       NaN       NaN       NaN       3.0       NaN   \n",
       "\n",
       "customer_id  70143123  70145905  70148734  70160767  70163233  70163966  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 1.0       NaN       NaN       NaN       NaN       5.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 1.0       NaN       1.0       NaN       NaN       NaN   \n",
       "4                 1.0       NaN       1.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  70168817  70170473  70174467  70178916  70192661  70204320  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       2.0       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "2                 NaN       NaN       5.0       1.0       1.0       NaN   \n",
       "3                 2.0       NaN       5.0       NaN       1.0       NaN   \n",
       "4                 2.0       NaN       2.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  70207491  70213046  70213178  70215017  70225938  70227980  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       NaN       3.0       NaN   \n",
       "1                 NaN       NaN       NaN       4.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "3                 NaN       NaN       2.0       NaN       NaN       1.0   \n",
       "4                 NaN       NaN       NaN       4.0       2.0       1.0   \n",
       "\n",
       "customer_id  70231421  70255884  70259852  70261572  70267911  70277633  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       2.0       1.0       NaN       NaN       1.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       9.0   \n",
       "2                 2.0       2.0       1.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       1.0       NaN       NaN       2.0   \n",
       "4                 2.0       1.0       NaN       NaN       2.0       1.0   \n",
       "\n",
       "customer_id  70283901  70287217  70291802  70302931  70303104  70306450  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       2.0       NaN       NaN       1.0   \n",
       "1                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       1.0       NaN       NaN       NaN       1.0   \n",
       "3                 NaN       2.0       3.0       NaN       1.0       5.0   \n",
       "4                 2.0       4.0       NaN       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  70306921  70307755  70323790  70326020  70326821  70327108  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       5.0       1.0       NaN       NaN   \n",
       "1                 NaN       NaN       2.0       NaN       NaN       2.0   \n",
       "2                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "4                 2.0       NaN       NaN       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  70327700  70335057  70336609  70344484  70350764  70354106  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       5.0       NaN       NaN       1.0       NaN   \n",
       "1                 NaN       NaN       3.0       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       3.0       NaN       NaN       2.0       NaN   \n",
       "4                 NaN       1.0       1.0       1.0       3.0       NaN   \n",
       "\n",
       "customer_id  70356080  70360096  70367577  70368897  70372326  70379828  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       NaN       1.0       NaN       NaN   \n",
       "1                 2.0       1.0       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "4                 1.0       1.0       NaN       1.0       2.0       NaN   \n",
       "\n",
       "customer_id  70380464  70389410  70391198  70398779  70404261  70411664  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "1                 NaN       1.0       1.0       2.0       NaN       1.0   \n",
       "2                 NaN       NaN       NaN       1.0       NaN       1.0   \n",
       "3                 NaN       NaN       1.0       NaN       NaN       1.0   \n",
       "4                 1.0       NaN       1.0       NaN       NaN       5.0   \n",
       "\n",
       "customer_id  70414581  70420440  70426342  70431954  70437097  70444371  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       NaN       1.0       NaN   \n",
       "1                 NaN       NaN       NaN       1.0       1.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 3.0       NaN       4.0       NaN       3.0       NaN   \n",
       "4                 1.0       NaN       1.0       NaN       2.0       NaN   \n",
       "\n",
       "customer_id  70446038  70454187  70458117  70464233  70466873  70469083  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       3.0       NaN       NaN       2.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "2                 1.0       NaN       NaN       NaN       2.0       NaN   \n",
       "3                 1.0       2.0       NaN       2.0       1.0       NaN   \n",
       "4                 1.0       3.0       NaN       2.0       NaN       NaN   \n",
       "\n",
       "customer_id  70473209  70475688  70486266  70490446  70495971  70500222  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       4.0       1.0       NaN       NaN       NaN   \n",
       "1                 2.0       NaN       2.0       NaN       4.0       NaN   \n",
       "2                 NaN       1.0       NaN       NaN       NaN       1.0   \n",
       "3                 NaN       NaN       1.0       NaN       NaN       2.0   \n",
       "4                 2.0       3.0       1.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  70502896  70503463  70510571  70519205  70523346  70525253  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       4.0       NaN       NaN       NaN   \n",
       "1                 2.0       NaN       4.0       NaN       NaN       NaN   \n",
       "2                 1.0       NaN       6.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       5.0       NaN       NaN       NaN   \n",
       "4                 NaN       NaN      14.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  70530157  70532099  70537342  70549535  70554895  70555555  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       1.0       1.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       8.0       NaN   \n",
       "3                 2.0       1.0       NaN       NaN       NaN       NaN   \n",
       "4                 1.0       5.0       NaN       NaN       7.0       NaN   \n",
       "\n",
       "customer_id  70570397  70581780  70585961  70596339  70599086  70603698  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       1.0       NaN       2.0       NaN   \n",
       "1                 NaN       NaN       3.0       NaN       1.0       NaN   \n",
       "2                 1.0       NaN       2.0       NaN       NaN       NaN   \n",
       "3                 NaN       1.0       2.0       NaN       NaN       NaN   \n",
       "4                 1.0       2.0       2.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  70610300  70624880  70630732  70634169  70635851  70651209  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       1.0       NaN       1.0       NaN       NaN   \n",
       "3                 NaN       NaN       2.0       1.0       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "\n",
       "customer_id  70654803  70655767  70665012  70666604  70668898  70672864  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       1.0       8.0       1.0       1.0       NaN   \n",
       "1                 NaN       NaN       3.0      11.0       NaN       NaN   \n",
       "2                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       2.0       8.0      10.0       NaN       NaN   \n",
       "4                 NaN       NaN      15.0       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  70678764  70679460  70690635  70705317  70707572  70711430  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       8.0       1.0       NaN       NaN       1.0   \n",
       "1                 NaN       NaN       1.0       NaN       NaN       4.0   \n",
       "2                 NaN       1.0       2.0       NaN       NaN       2.0   \n",
       "3                 NaN       5.0       NaN       NaN       NaN       2.0   \n",
       "4                 NaN      10.0       NaN       NaN       NaN       2.0   \n",
       "\n",
       "customer_id  70714631  70715100  70720305  70729497  70734869  70738904  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       2.0       NaN       NaN       1.0   \n",
       "1                 NaN       4.0       3.0       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       2.0       NaN       NaN       2.0   \n",
       "3                 NaN       1.0       4.0       NaN       4.0       2.0   \n",
       "4                 NaN       NaN       2.0       NaN       NaN       2.0   \n",
       "\n",
       "customer_id  70741079  70749151  70749448  70750678  70756441  70768141  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       5.0       NaN       2.0       NaN       NaN   \n",
       "1                 NaN       NaN       5.0       NaN       NaN       1.0   \n",
       "2                 2.0       2.0       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "4                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  70780820  70790743  70803862  70804727  70811563  70819605  \\\n",
       "num_day                                                                   \n",
       "0               205.0       NaN       2.0       NaN       NaN       NaN   \n",
       "1                95.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                76.0       1.0       NaN       NaN       2.0       NaN   \n",
       "3               119.0       NaN       1.0       NaN       NaN       NaN   \n",
       "4               155.0       1.0       NaN       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  70826950  70834923  70837587  70838258  70848169  70852678  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       1.0       NaN       1.0       2.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 1.0       NaN       NaN       NaN       3.0       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "4                 1.0       3.0       NaN       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  70857044  70858420  70870942  70871229  70883403  70888346  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       1.0       NaN       NaN       NaN   \n",
       "1                 2.0       2.0       NaN       NaN       1.0       NaN   \n",
       "2                 2.0       1.0       NaN       3.0       NaN       NaN   \n",
       "3                 NaN       5.0       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  70892549  70892783  70895667  70909336  70912556  70917262  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "1                 1.0       NaN       NaN       NaN       NaN       1.0   \n",
       "2                 NaN       NaN       1.0       NaN       NaN       2.0   \n",
       "3                 1.0       NaN       NaN       NaN       NaN       1.0   \n",
       "4                 4.0       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  70921924  70927779  70930381  70932702  70938867  70939175  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       NaN       1.0       NaN   \n",
       "1                 1.0       NaN       2.0       NaN       4.0       NaN   \n",
       "2                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       4.0       NaN   \n",
       "\n",
       "customer_id  70939665  70949223  70951201  70956280  70969281  70972809  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       2.0       6.0       2.0       NaN       NaN   \n",
       "1                 NaN       7.0       1.0       NaN       NaN       4.0   \n",
       "2                 NaN       1.0       2.0       1.0       NaN       8.0   \n",
       "3                 5.0       1.0       2.0       4.0       NaN       NaN   \n",
       "4                 2.0       NaN       NaN       NaN       NaN       2.0   \n",
       "\n",
       "customer_id  70982049  70988604  71000193  71008417  71017308  71022537  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       3.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       3.0       NaN   \n",
       "3                 NaN       NaN       NaN       1.0       1.0       NaN   \n",
       "4                 NaN       NaN       1.0       2.0       NaN       NaN   \n",
       "\n",
       "customer_id  71045231  71046753  71068851  71071203  71083746  71084861  \\\n",
       "num_day                                                                   \n",
       "0                 3.0       1.0       3.0       NaN       1.0       NaN   \n",
       "1                 3.0       NaN       3.0       NaN       NaN       NaN   \n",
       "2                 2.0       1.0       2.0       NaN       NaN       NaN   \n",
       "3                 2.0       4.0       4.0       NaN       1.0       NaN   \n",
       "4                 1.0       2.0       4.0       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  71095927  71100796  71101599  71118529  71128442  71160914  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       2.0       NaN       1.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       1.0       1.0   \n",
       "3                 NaN       NaN       4.0       1.0       NaN       NaN   \n",
       "4                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  71171908  71172808  71179702  71180934  71186181  71188696  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "2                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  71190411  71211832  71213789  71219052  71222388  71225839  \\\n",
       "num_day                                                                   \n",
       "0                 4.0       NaN       NaN       1.0       3.0       1.0   \n",
       "1                 NaN       3.0       1.0       1.0       2.0       NaN   \n",
       "2                 1.0       NaN       1.0       NaN       NaN       NaN   \n",
       "3                 1.0       1.0       2.0       NaN       NaN       NaN   \n",
       "4                 NaN       2.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  71236168  71242860  71243465  71256126  71263781  71276247  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       1.0       NaN       NaN       2.0       1.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       2.0       5.0       NaN       NaN       NaN   \n",
       "3                 NaN       2.0       NaN       1.0       2.0       NaN   \n",
       "4                 NaN       2.0       NaN       1.0       3.0       NaN   \n",
       "\n",
       "customer_id  71298678  71304842  71310841  71311316  71316366  71318930  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       1.0       3.0       NaN       2.0       NaN   \n",
       "1                 NaN       NaN       2.0       NaN       3.0       NaN   \n",
       "2                 1.0       NaN       3.0       NaN       NaN       NaN   \n",
       "3                 1.0       NaN       6.0       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  71324242  71331226  71331376  71342712  71348421  71349808  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0      11.0       NaN       1.0       1.0   \n",
       "1                 NaN       1.0       1.0       NaN       1.0       NaN   \n",
       "2                 1.0       NaN       4.0       NaN       NaN       NaN   \n",
       "3                 3.0       2.0       4.0       NaN       1.0       NaN   \n",
       "4                 NaN       1.0       2.0       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  71353914  71368917  71373271  71383179  71406146  71408643  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       4.0       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       1.0       NaN       NaN       1.0   \n",
       "2                 NaN       3.0       1.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "4                 NaN       4.0       7.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  71418107  71430149  71461408  71464131  71465339  71466187  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       1.0       1.0       1.0       NaN   \n",
       "1                 1.0       NaN       3.0       3.0       NaN       NaN   \n",
       "2                 2.0       NaN       3.0       2.0       1.0       NaN   \n",
       "3                 1.0       NaN       NaN       1.0       1.0       NaN   \n",
       "4                 1.0       1.0       NaN       1.0       6.0       NaN   \n",
       "\n",
       "customer_id  71471760  71474169  71476478  71479996  71485222  71493601  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       1.0       NaN      10.0       NaN   \n",
       "1                 NaN       NaN       2.0       NaN       2.0       1.0   \n",
       "2                 NaN       1.0       NaN       NaN       1.0       NaN   \n",
       "3                 NaN       1.0       NaN       NaN       3.0       1.0   \n",
       "4                 1.0       1.0       1.0       NaN       2.0       NaN   \n",
       "\n",
       "customer_id  71507873  71509838  71512641  71513657  71516645  71547009  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       1.0       NaN       4.0   \n",
       "1                 NaN       NaN       NaN       2.0       NaN       3.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "4                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  71547641  71549503  71555182  71557713  71573572  71577803  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "1                 NaN       NaN       1.0       NaN       NaN       2.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       1.0       3.0       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  71591742  71596696  71598295  71599076  71607343  71614062  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       1.0       1.0       NaN       NaN   \n",
       "1                 NaN       NaN       1.0       1.0       2.0       NaN   \n",
       "2                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "3                 NaN       NaN       1.0       1.0       1.0       NaN   \n",
       "4                 NaN       NaN       2.0       NaN       2.0       NaN   \n",
       "\n",
       "customer_id  71615404  71627415  71628575  71631423  71632352  71634960  \\\n",
       "num_day                                                                   \n",
       "0                 6.0       NaN       3.0       NaN       NaN       9.0   \n",
       "1                 1.0       NaN       3.0       3.0       NaN       7.0   \n",
       "2                 3.0       NaN       1.0       NaN       NaN       1.0   \n",
       "3                 4.0       1.0       3.0       NaN       NaN       5.0   \n",
       "4                 2.0       NaN       5.0       3.0       NaN       1.0   \n",
       "\n",
       "customer_id  71644043  71646377  71648241  71650312  71654211  71656498  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       2.0       NaN       1.0       NaN   \n",
       "1                 1.0       2.0       6.0       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       9.0       2.0       2.0       NaN   \n",
       "3                 3.0       NaN       7.0       NaN       2.0       4.0   \n",
       "4                 3.0       NaN       5.0       NaN       1.0       4.0   \n",
       "\n",
       "customer_id  71663162  71673925  71688082  71704226  71718427  71719624  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       5.0       9.0       1.0       NaN       NaN   \n",
       "1                 NaN       2.0       2.0       1.0       NaN       1.0   \n",
       "2                 NaN       4.0       1.0       NaN       NaN       2.0   \n",
       "3                 NaN       2.0       2.0       1.0       2.0       NaN   \n",
       "4                 NaN       1.0       3.0       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  71730765  71739556  71743833  71746746  71755027  71758343  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       4.0       2.0       NaN       NaN       NaN   \n",
       "1                 NaN       3.0       3.0       NaN       1.0       1.0   \n",
       "2                 NaN       NaN       2.0       NaN       1.0       NaN   \n",
       "3                 NaN       NaN       2.0       NaN       NaN       3.0   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  71759640  71763484  71784584  71787383  71791698  71797886  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       NaN       1.0       2.0   \n",
       "1                 NaN       1.0       NaN       NaN       2.0       2.0   \n",
       "2                 NaN       1.0       NaN       NaN       NaN       2.0   \n",
       "3                 1.0       1.0       NaN       NaN       NaN       2.0   \n",
       "4                 NaN       1.0       NaN       NaN       1.0       1.0   \n",
       "\n",
       "customer_id  71803482  71805563  71812094  71813116  71827865  71829751  \\\n",
       "num_day                                                                   \n",
       "0                 3.0       NaN       2.0       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "3                 7.0       NaN       4.0       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  71835764  71840653  71841763  71854920  71860004  71865788  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       2.0       NaN       NaN       2.0   \n",
       "1                 1.0       NaN       2.0       1.0       NaN       NaN   \n",
       "2                 2.0       NaN       2.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       1.0       2.0       NaN       NaN   \n",
       "4                 NaN       NaN       4.0       2.0       NaN       NaN   \n",
       "\n",
       "customer_id  71866206  71867287  71870167  71872087  71874115  71875844  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       2.0       NaN       NaN       2.0   \n",
       "1                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "2                 NaN       2.0       NaN       NaN       NaN       1.0   \n",
       "3                 4.0       NaN       2.0       NaN       1.0       1.0   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  71890029  71893817  71900602  71902723  71906343  71911679  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       7.0       NaN       NaN       NaN   \n",
       "1                 NaN       1.0       1.0       NaN       1.0       NaN   \n",
       "2                 3.0       NaN       NaN       2.0       2.0       NaN   \n",
       "3                 NaN       NaN       3.0       2.0       1.0       NaN   \n",
       "4                 NaN       1.0       2.0       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  71917632  71922409  71923630  71931448  71936160  71942984  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       1.0       2.0       2.0       NaN   \n",
       "1                 NaN       NaN       2.0       NaN       1.0       1.0   \n",
       "2                 NaN       4.0       NaN       NaN       2.0       NaN   \n",
       "3                 NaN       NaN       NaN       2.0       2.0       2.0   \n",
       "4                 2.0       NaN       1.0       2.0       1.0       NaN   \n",
       "\n",
       "customer_id  71946204  71966532  71966814  71973473  71974747  71977032  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       2.0       NaN       1.0       NaN       2.0   \n",
       "1                 NaN       4.0       NaN       NaN       1.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "3                 NaN       2.0       2.0       1.0       3.0       NaN   \n",
       "4                 NaN       NaN       1.0       NaN       3.0       NaN   \n",
       "\n",
       "customer_id  71979180  71982064  71985542  71996109  71996272  72007493  \\\n",
       "num_day                                                                   \n",
       "0                 3.0       NaN       NaN       NaN       1.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "2                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "3                 3.0       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 3.0       NaN       NaN       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  72010505  72015340  72024916  72027887  72031273  72033624  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 1.0       NaN       NaN       1.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "3                 1.0       NaN       NaN       NaN       1.0       2.0   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       5.0   \n",
       "\n",
       "customer_id  72035996  72045112  72070089  72075588  72078831  72087231  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       NaN       1.0       NaN   \n",
       "1                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 3.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  72090768  72095061  72097563  72099201  72103230  72106418  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "1                 NaN       1.0       NaN       2.0       NaN       1.0   \n",
       "2                 NaN       NaN       1.0       1.0       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "\n",
       "customer_id  72107908  72118918  72125209  72126896  72131112  72140437  \\\n",
       "num_day                                                                   \n",
       "0                 5.0       NaN       NaN       NaN       1.0       NaN   \n",
       "1                 1.0       NaN       2.0       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       2.0       NaN       5.0       NaN   \n",
       "3                 1.0       1.0       5.0       NaN       2.0       NaN   \n",
       "4                 2.0       NaN       NaN       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  72148337  72148596  72149080  72159306  72166069  72171405  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       2.0       NaN       3.0       NaN       NaN   \n",
       "1                 1.0       2.0       1.0       2.0       NaN       NaN   \n",
       "2                 NaN       1.0       1.0       1.0       NaN       NaN   \n",
       "3                 NaN       1.0       2.0       1.0       NaN       2.0   \n",
       "4                 NaN       NaN       1.0       1.0       NaN       2.0   \n",
       "\n",
       "customer_id  72176587  72188664  72189750  72199057  72200763  72221356  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       5.0       1.0       NaN       NaN       NaN   \n",
       "1                 NaN       2.0       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       6.0       1.0       NaN       NaN       NaN   \n",
       "4                 NaN       4.0       5.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  72224381  72226124  72230568  72251760  72256116  72269954  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       NaN       NaN       3.0   \n",
       "1                 NaN       NaN       1.0       NaN       NaN       1.0   \n",
       "2                 NaN       NaN       3.0       3.0       NaN       NaN   \n",
       "3                 NaN       NaN       2.0       1.0       6.0       NaN   \n",
       "4                 7.0       NaN       2.0       1.0       1.0       NaN   \n",
       "\n",
       "customer_id  72283014  72286950  72288442  72299597  72300603  72301958  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       2.0       NaN       NaN       1.0       NaN   \n",
       "1                 NaN       1.0       NaN       NaN       1.0       NaN   \n",
       "2                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "4                 1.0       NaN       NaN       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  72305515  72311347  72324787  72327046  72333984  72341948  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       3.0       NaN       NaN       NaN       2.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "3                 1.0       NaN       NaN       NaN       NaN       3.0   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       3.0   \n",
       "\n",
       "customer_id  72343780  72347452  72375056  72386019  72402034  72416522  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "2                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "4                 1.0       NaN       NaN       3.0       NaN       1.0   \n",
       "\n",
       "customer_id  72417018  72430383  72430723  72446283  72455580  72469614  \\\n",
       "num_day                                                                   \n",
       "0                 5.0       NaN       NaN       NaN       1.0       NaN   \n",
       "1                 NaN       NaN       1.0       NaN       2.0       NaN   \n",
       "2                 6.0       NaN       2.0       NaN       NaN       NaN   \n",
       "3                 3.0       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 4.0       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  72470388  72471571  72481928  72482237  72500935  72506783  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "1                 NaN       1.0       1.0       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       1.0       NaN       NaN       NaN       1.0   \n",
       "4                 NaN       NaN       NaN       NaN       4.0       NaN   \n",
       "\n",
       "customer_id  72515811  72518333  72518587  72522161  72525197  72527809  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       4.0       NaN       NaN   \n",
       "1                 1.0       NaN       NaN       1.0       NaN       NaN   \n",
       "2                 NaN       1.0       NaN       1.0       NaN       NaN   \n",
       "3                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  72530373  72534932  72545770  72547488  72555006  72557966  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "1                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       2.0       NaN       NaN       NaN       2.0   \n",
       "\n",
       "customer_id  72558587  72566501  72568668  72569152  72570760  72575284  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       NaN       NaN       2.0   \n",
       "1                 NaN       2.0       2.0       NaN       NaN       1.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       1.0       NaN       NaN       1.0   \n",
       "4                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  72576023  72576299  72577730  72578493  72586209  72592609  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       NaN       1.0       6.0   \n",
       "1                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "2                 NaN       1.0       NaN       NaN       NaN       4.0   \n",
       "3                 NaN       3.0       1.0       NaN       NaN       NaN   \n",
       "4                 NaN       1.0       1.0       NaN       NaN       2.0   \n",
       "\n",
       "customer_id  72596532  72603738  72605688  72610624  72610880  72614307  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       1.0       1.0       NaN   \n",
       "1                 2.0       NaN       NaN       1.0       NaN       NaN   \n",
       "2                 2.0       NaN       4.0       NaN       1.0       NaN   \n",
       "3                 3.0       NaN       1.0       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  72617904  72617996  72644330  72646455  72660931  72661208  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       2.0       NaN       NaN       2.0       3.0   \n",
       "1                 NaN       1.0       NaN       NaN       2.0       NaN   \n",
       "2                 NaN       4.0       NaN       3.0       1.0       NaN   \n",
       "3                 NaN       1.0       NaN       1.0       1.0       NaN   \n",
       "4                 NaN       2.0       NaN       1.0       1.0       NaN   \n",
       "\n",
       "customer_id  72662346  72665325  72674186  72699441  72705908  72717967  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       2.0       NaN       NaN       1.0   \n",
       "1                 NaN       NaN       NaN       3.0       NaN       NaN   \n",
       "2                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       1.0       NaN       6.0       NaN   \n",
       "\n",
       "customer_id  72724146  72726543  72735622  72748976  72749791  72751958  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       6.0       NaN       1.0   \n",
       "1                 5.0       NaN       NaN       1.0       NaN       1.0   \n",
       "2                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       1.0       NaN       2.0   \n",
       "4                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  72760153  72762405  72765143  72780460  72802446  72805553  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       NaN       NaN       2.0   \n",
       "1                 NaN       NaN       NaN       2.0       2.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 1.0       NaN       NaN       3.0       NaN       1.0   \n",
       "4                 1.0       NaN       NaN       NaN       1.0       1.0   \n",
       "\n",
       "customer_id  72805662  72818498  72823987  72834202  72851893  72854087  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       6.0       1.0       NaN       NaN   \n",
       "1                 NaN       NaN       5.0       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       2.0       NaN       1.0       NaN   \n",
       "3                 NaN       NaN       1.0       NaN       2.0       1.0   \n",
       "4                 NaN       NaN       NaN       NaN       4.0       NaN   \n",
       "\n",
       "customer_id  72855316  72856775  72874855  72896314  72898145  72899509  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       5.0       NaN       NaN       3.0   \n",
       "1                 NaN       3.0       3.0       NaN       NaN       1.0   \n",
       "2                 NaN       NaN       1.0       NaN       NaN       3.0   \n",
       "3                 NaN       NaN       1.0       NaN       NaN       1.0   \n",
       "4                 NaN       1.0       NaN       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  72908719  72920418  72921986  72923403  72943900  72944036  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       3.0       2.0       1.0       NaN       NaN   \n",
       "1                 NaN       2.0       1.0       1.0       4.0       NaN   \n",
       "2                 NaN       5.0       1.0       NaN       2.0       NaN   \n",
       "3                 NaN       2.0       3.0       NaN       5.0       2.0   \n",
       "4                 NaN       NaN       3.0       NaN       6.0       NaN   \n",
       "\n",
       "customer_id  72956635  72959227  72970097  72987018  73001101  73006095  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       2.0       1.0       NaN       NaN   \n",
       "1                 3.0       NaN       NaN       1.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "3                 3.0       NaN       2.0       1.0       NaN       NaN   \n",
       "4                 2.0       NaN       1.0       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  73016129  73016217  73020625  73020815  73021118  73021485  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       2.0       NaN       2.0       NaN       NaN   \n",
       "2                 NaN       4.0       NaN       NaN       1.0       NaN   \n",
       "3                 NaN       2.0       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       4.0       NaN       2.0       NaN       NaN   \n",
       "\n",
       "customer_id  73021553  73024764  73025235  73026170  73028403  73031784  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       2.0       NaN       2.0       NaN       NaN   \n",
       "1                 NaN       2.0       NaN       1.0       NaN       1.0   \n",
       "2                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "3                 1.0       2.0       NaN       NaN       NaN       NaN   \n",
       "4                 1.0       2.0       NaN       2.0       NaN       NaN   \n",
       "\n",
       "customer_id  73033241  73041938  73062350  73067127  73075602  73103742  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       NaN       NaN       NaN      10.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       1.0       2.0       NaN       2.0   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       3.0       1.0       NaN       2.0   \n",
       "\n",
       "customer_id  73108951  73110554  73110872  73117692  73117800  73122071  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       2.0       NaN       1.0       NaN       NaN   \n",
       "1                 NaN       1.0       2.0       NaN       NaN       NaN   \n",
       "2                 NaN       3.0       1.0       3.0       NaN       NaN   \n",
       "3                 NaN       3.0       NaN       3.0       NaN       NaN   \n",
       "4                 1.0       NaN       1.0       2.0       NaN       NaN   \n",
       "\n",
       "customer_id  73125353  73139150  73148685  73155567  73164708  73172177  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       4.0       NaN       1.0       NaN       NaN   \n",
       "1                 NaN       2.0       NaN       NaN       1.0       NaN   \n",
       "2                 NaN       4.0       NaN       NaN       NaN       3.0   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  73173719  73175338  73182529  73187721  73189788  73189859  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       3.0       1.0       NaN   \n",
       "1                 NaN       NaN       1.0       1.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       3.0       NaN       NaN   \n",
       "3                 3.0       NaN       NaN       3.0       NaN       1.0   \n",
       "4                 3.0       NaN       NaN       4.0       NaN       NaN   \n",
       "\n",
       "customer_id  73197097  73197417  73205353  73215364  73221113  73227910  \\\n",
       "num_day                                                                   \n",
       "0                 6.0       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 2.0       NaN       NaN       NaN       NaN       4.0   \n",
       "4                 6.0       NaN       1.0       NaN       1.0       3.0   \n",
       "\n",
       "customer_id  73238226  73241034  73257334  73258460  73263137  73263344  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       4.0       NaN       NaN       NaN       2.0   \n",
       "1                 NaN       1.0       NaN       4.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "3                 NaN       1.0       2.0       1.0       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       3.0       NaN       NaN   \n",
       "\n",
       "customer_id  73269680  73276006  73280982  73287480  73300172  73316627  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       6.0       5.0       1.0       1.0   \n",
       "1                 NaN       NaN       NaN       2.0       2.0       1.0   \n",
       "2                 2.0       NaN       1.0       2.0       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       1.0       NaN       1.0   \n",
       "4                 3.0       3.0       NaN       2.0       NaN       1.0   \n",
       "\n",
       "customer_id  73319163  73327628  73331236  73331514  73334791  73341034  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       1.0       NaN       NaN       2.0   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  73342030  73347989  73350115  73355686  73372506  73374980  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       NaN       NaN       1.0   \n",
       "1                 NaN       2.0       NaN       NaN       2.0       2.0   \n",
       "2                 1.0       1.0       NaN       NaN       1.0       NaN   \n",
       "3                 NaN       1.0       3.0       NaN       1.0       NaN   \n",
       "4                 2.0       NaN       NaN       NaN       3.0       NaN   \n",
       "\n",
       "customer_id  73380812  73389576  73402777  73410167  73410933  73426176  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       1.0       NaN       2.0   \n",
       "1                 NaN       1.0       NaN       1.0       NaN       1.0   \n",
       "2                 NaN       1.0       NaN       NaN       NaN       2.0   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "4                 NaN      10.0       NaN       NaN       NaN       2.0   \n",
       "\n",
       "customer_id  73430259  73447475  73448532  73459433  73465371  73472247  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 2.0       NaN       NaN       1.0       1.0       NaN   \n",
       "3                 1.0       NaN       2.0       NaN       2.0       NaN   \n",
       "4                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  73474493  73480392  73483226  73483231  73495038  73496527  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       2.0       9.0       7.0   \n",
       "1                 NaN       2.0       NaN       2.0       NaN       NaN   \n",
       "2                 NaN       NaN       3.0       1.0       NaN       NaN   \n",
       "3                 NaN       2.0       NaN       NaN       5.0       NaN   \n",
       "4                 NaN       7.0       1.0       1.0       NaN       3.0   \n",
       "\n",
       "customer_id  73504380  73505717  73510477  73534440  73538858  73551346  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN      49.0       NaN       1.0   \n",
       "1                 1.0       NaN       4.0      71.0       NaN       NaN   \n",
       "2                 1.0       1.0       3.0      30.0       NaN       NaN   \n",
       "3                 NaN       1.0       NaN      31.0       NaN       NaN   \n",
       "4                 NaN       1.0       NaN      10.0       NaN       NaN   \n",
       "\n",
       "customer_id  73554785  73566207  73572131  73579890  73580357  73580723  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       1.0       1.0   \n",
       "2                 1.0       NaN       5.0       NaN       1.0       NaN   \n",
       "3                 NaN       NaN       2.0       6.0       1.0       2.0   \n",
       "4                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  73584882  73597952  73598812  73599818  73605230  73617207  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       NaN       3.0       2.0   \n",
       "1                 NaN       1.0       NaN       NaN       1.0       1.0   \n",
       "2                 NaN       NaN       NaN       NaN       3.0       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       1.0       1.0   \n",
       "4                 NaN       1.0       NaN       NaN       3.0       NaN   \n",
       "\n",
       "customer_id  73632143  73635483  73637026  73649979  73653887  73657227  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       2.0       2.0       NaN   \n",
       "1                 NaN       NaN       NaN       3.0       NaN       NaN   \n",
       "2                 NaN       1.0       NaN       4.0       1.0       NaN   \n",
       "3                 NaN       NaN       NaN       3.0       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       5.0       4.0       NaN   \n",
       "\n",
       "customer_id  73672459  73674968  73679203  73685445  73688170  73691073  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       2.0       NaN       2.0       1.0   \n",
       "1                 NaN       NaN       NaN       NaN       2.0       1.0   \n",
       "2                 1.0       NaN       1.0       NaN       NaN       NaN   \n",
       "3                 NaN       1.0       3.0       1.0       5.0       NaN   \n",
       "4                 NaN       2.0       2.0       2.0       NaN       NaN   \n",
       "\n",
       "customer_id  73699334  73700735  73713185  73723907  73736701  73739372  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       2.0       1.0       NaN       1.0   \n",
       "2                 NaN       NaN       3.0       2.0       NaN       NaN   \n",
       "3                 NaN       1.0       2.0       1.0       NaN       3.0   \n",
       "4                 NaN       NaN       3.0       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  73740375  73752386  73776618  73778310  73778579  73798990  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       1.0       3.0       NaN       NaN       NaN   \n",
       "1                 1.0       NaN       3.0       3.0       NaN       1.0   \n",
       "2                 1.0       NaN       4.0       2.0       NaN       NaN   \n",
       "3                 5.0       NaN       2.0       2.0       NaN       1.0   \n",
       "4                 1.0       1.0       1.0       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  73818041  73828713  73839090  73845410  73847071  73860528  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "1                 1.0       NaN       NaN       1.0       NaN       NaN   \n",
       "2                 3.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       1.0       3.0       NaN       NaN   \n",
       "4                 1.0       2.0       NaN       2.0       NaN       NaN   \n",
       "\n",
       "customer_id  73863744  73868652  73872662  73895152  73907136  73924399  \\\n",
       "num_day                                                                   \n",
       "0                 3.0       NaN       1.0       2.0       1.0       2.0   \n",
       "1                 7.0       2.0       4.0       NaN       NaN       1.0   \n",
       "2                 2.0       3.0       5.0       1.0       NaN       1.0   \n",
       "3                 5.0       5.0       1.0       NaN       NaN       1.0   \n",
       "4                 1.0       2.0       4.0       2.0       NaN       1.0   \n",
       "\n",
       "customer_id  73931370  73931563  73933347  73963025  73963911  73972092  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       NaN       2.0       NaN       NaN   \n",
       "1                 2.0       NaN       NaN       3.0       NaN       NaN   \n",
       "2                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "3                 1.0       1.0       NaN       2.0       NaN       2.0   \n",
       "4                 NaN       3.0       2.0       6.0       NaN       NaN   \n",
       "\n",
       "customer_id  73977285  73978190  73979134  73985249  74003300  74025278  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       1.0       NaN       NaN       NaN       7.0   \n",
       "1                 5.0       9.0       NaN       3.0       NaN       NaN   \n",
       "2                 NaN       5.0       NaN       2.0       NaN       2.0   \n",
       "3                 1.0       5.0       NaN       NaN       4.0       1.0   \n",
       "4                11.0       1.0       NaN       4.0       NaN       1.0   \n",
       "\n",
       "customer_id  74028248  74040264  74040897  74041795  74045822  74053223  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       1.0       1.0       NaN       NaN   \n",
       "2                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       1.0       1.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  74063285  74069243  74079587  74082471  74084028  74085720  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "4                 1.0       NaN       NaN       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  74101940  74115193  74128530  74129296  74132202  74134155  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       2.0       1.0       NaN       2.0       1.0   \n",
       "1                 NaN       4.0       2.0       NaN       NaN       NaN   \n",
       "2                 NaN       5.0       3.0       NaN       NaN       NaN   \n",
       "3                 1.0       1.0       2.0       NaN       2.0       1.0   \n",
       "4                 NaN       2.0       4.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  74143191  74144325  74145038  74146605  74160301  74170220  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       2.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       3.0       NaN       NaN   \n",
       "\n",
       "customer_id  74173548  74185104  74192474  74207455  74216002  74218826  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       4.0       NaN       NaN       NaN       NaN   \n",
       "1                 1.0       NaN       NaN       1.0       NaN       NaN   \n",
       "2                 NaN       3.0       NaN       NaN       1.0       NaN   \n",
       "3                 2.0       NaN       NaN       NaN       1.0       NaN   \n",
       "4                 3.0       2.0       NaN       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  74227535  74229871  74230661  74231213  74231858  74250583  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       1.0       NaN       2.0       NaN       3.0   \n",
       "1                 NaN       2.0       1.0       1.0       NaN       5.0   \n",
       "2                 NaN       NaN       NaN       2.0       1.0       5.0   \n",
       "3                 NaN       NaN       NaN       2.0       NaN       4.0   \n",
       "4                 NaN       NaN       NaN       2.0       NaN       2.0   \n",
       "\n",
       "customer_id  74259432  74262568  74265888  74280926  74285914  74289663  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       3.0       NaN       NaN       3.0       3.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       3.0   \n",
       "2                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 1.0       3.0       NaN       NaN       NaN       2.0   \n",
       "4                 2.0       2.0       NaN       NaN       NaN       3.0   \n",
       "\n",
       "customer_id  74294115  74298343  74298839  74299321  74302527  74302740  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       1.0       1.0       NaN       NaN   \n",
       "1                 NaN       3.0       1.0       NaN       NaN       NaN   \n",
       "2                 2.0       5.0       1.0       2.0       NaN       NaN   \n",
       "3                 NaN       1.0       1.0       NaN       1.0       1.0   \n",
       "4                 NaN       2.0       2.0       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  74322014  74322423  74331777  74332639  74334566  74340205  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       NaN       NaN       1.0   \n",
       "1                 NaN       4.0       2.0       NaN       2.0       NaN   \n",
       "2                 NaN       NaN       5.0       NaN       NaN       NaN   \n",
       "3                 NaN       5.0       3.0       2.0       3.0       NaN   \n",
       "4                 NaN       NaN       1.0       2.0       NaN       NaN   \n",
       "\n",
       "customer_id  74351422  74373906  74376012  74388051  74402957  74404121  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "1                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 5.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 3.0       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 4.0       4.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  74415632  74418143  74420040  74428229  74428668  74445325  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "2                 NaN       NaN       2.0       NaN       NaN       1.0   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "4                 NaN       NaN       4.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  74460130  74466136  74476679  74479692  74483095  74492329  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       3.0   \n",
       "1                 NaN       1.0       NaN       NaN       NaN       1.0   \n",
       "2                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  74503949  74504524  74508021  74514929  74515071  74515789  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       2.0       NaN       NaN       NaN       NaN   \n",
       "1                 1.0       2.0       1.0       1.0       NaN       NaN   \n",
       "2                 NaN       1.0       NaN       2.0       NaN       NaN   \n",
       "3                 1.0       1.0       NaN       NaN       NaN       NaN   \n",
       "4                 1.0       NaN       1.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  74517726  74519316  74523192  74526250  74533847  74555637  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       5.0       1.0       2.0   \n",
       "1                 NaN       NaN       NaN       3.0       NaN       3.0   \n",
       "2                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "4                 NaN       5.0       1.0       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  74566126  74590997  74592590  74593159  74599819  74599931  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       3.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 2.0       1.0       NaN       2.0       NaN       NaN   \n",
       "4                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  74611939  74612100  74617138  74619328  74621121  74630945  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       2.0       1.0       2.0       2.0       1.0   \n",
       "1                 NaN       5.0       NaN       NaN       NaN       1.0   \n",
       "2                 NaN       3.0       1.0       NaN       NaN       4.0   \n",
       "3                 NaN       1.0       1.0       1.0       1.0       4.0   \n",
       "4                 NaN       1.0       1.0       1.0       1.0       3.0   \n",
       "\n",
       "customer_id  74637057  74639060  74653671  74656705  74666069  74667149  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       1.0       1.0       1.0   \n",
       "1                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "4                 NaN       NaN       NaN       3.0       1.0       3.0   \n",
       "\n",
       "customer_id  74676188  74683509  74693419  74697056  74708086  74714195  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       NaN       NaN       1.0   \n",
       "1                 2.0       2.0      11.0       2.0       NaN       4.0   \n",
       "2                 1.0       NaN       2.0       2.0       NaN       NaN   \n",
       "3                 NaN       2.0       NaN       NaN       NaN       3.0   \n",
       "4                 2.0       1.0       2.0       1.0       NaN       1.0   \n",
       "\n",
       "customer_id  74727448  74733200  74742346  74751262  74752178  74760028  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       2.0       2.0       2.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "2                 NaN       NaN       2.0       NaN       2.0       NaN   \n",
       "3                 NaN       NaN       NaN       1.0       3.0       1.0   \n",
       "4                 NaN       NaN       2.0       1.0       NaN       2.0   \n",
       "\n",
       "customer_id  74775707  74800099  74812250  74823918  74850786  74854618  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       4.0   \n",
       "1                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "3                 NaN       2.0       2.0       NaN       1.0       NaN   \n",
       "4                 NaN       5.0       3.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  74856664  74863124  74864399  74870263  74875050  74877015  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       NaN       1.0       1.0   \n",
       "1                 NaN       NaN       NaN       2.0       2.0       2.0   \n",
       "2                 2.0       NaN       NaN       NaN       2.0       2.0   \n",
       "3                 1.0       NaN       NaN       NaN       NaN       1.0   \n",
       "4                 2.0       NaN       1.0       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  74878201  74901600  74901875  74904159  74917343  74918483  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       2.0       1.0       NaN       4.0   \n",
       "1                 NaN       1.0       1.0       NaN       NaN       3.0   \n",
       "2                 NaN       NaN       1.0       1.0       NaN       6.0   \n",
       "3                 NaN       1.0       NaN       NaN       NaN       2.0   \n",
       "4                 NaN       NaN       2.0       2.0       1.0       5.0   \n",
       "\n",
       "customer_id  74920867  74921898  74924638  74942122  74944537  74951485  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       NaN       2.0       1.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       2.0       1.0   \n",
       "3                 NaN       NaN       NaN       NaN       5.0       3.0   \n",
       "4                 NaN       1.0       NaN       NaN       1.0       1.0   \n",
       "\n",
       "customer_id  74975576  74992220  74992804  74993292  74993422  75010111  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       1.0       2.0       1.0       5.0       NaN   \n",
       "1                 1.0       3.0       NaN       1.0       NaN       NaN   \n",
       "2                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "3                 2.0       2.0       2.0       NaN       1.0       NaN   \n",
       "4                 1.0       NaN       1.0       1.0       1.0       NaN   \n",
       "\n",
       "customer_id  75010969  75025577  75028202  75050629  75050874  75063019  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       7.0       NaN       NaN       NaN       4.0   \n",
       "1                 NaN       5.0       NaN       NaN       NaN       1.0   \n",
       "2                 NaN       2.0       NaN       NaN       NaN       NaN   \n",
       "3                 2.0       3.0       1.0       3.0       NaN       NaN   \n",
       "4                 3.0       2.0       NaN       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  75064651  75078586  75082331  75087599  75092576  75101515  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       NaN       2.0       NaN   \n",
       "1                 NaN       2.0       NaN       NaN       1.0       NaN   \n",
       "2                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "3                 2.0       4.0       NaN       5.0       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "\n",
       "customer_id  75106459  75131411  75134631  75141992  75152402  75156736  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       2.0       5.0       NaN       NaN   \n",
       "2                 NaN       NaN       1.0       2.0       NaN       NaN   \n",
       "3                 NaN       NaN       4.0       4.0       NaN       NaN   \n",
       "4                 NaN       NaN       1.0       3.0       NaN       NaN   \n",
       "\n",
       "customer_id  75166368  75169373  75182873  75183304  75194021  75199858  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       NaN       2.0       NaN   \n",
       "1                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 1.0       1.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  75210690  75211941  75215258  75225096  75248245  75278479  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       1.0       2.0   \n",
       "1                 NaN       4.0       NaN       NaN       1.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  75281100  75282650  75315773  75328477  75330352  75342510  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       1.0       1.0       NaN       NaN       NaN   \n",
       "1                 NaN       3.0       2.0       NaN       NaN       1.0   \n",
       "2                 NaN       2.0       4.0       4.0       NaN       NaN   \n",
       "3                 NaN       1.0       NaN       3.0       NaN       NaN   \n",
       "4                 NaN       1.0       NaN       4.0       NaN       NaN   \n",
       "\n",
       "customer_id  75345598  75346002  75346132  75353732  75360806  75372287  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       6.0       NaN       1.0   \n",
       "1                 1.0       NaN       NaN       4.0       4.0       NaN   \n",
       "2                 NaN       NaN       1.0       3.0       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       9.0       3.0       NaN   \n",
       "4                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "\n",
       "customer_id  75392408  75393406  75393627  75405781  75405930  75432576  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       4.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       3.0       NaN       NaN   \n",
       "4                 1.0       6.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  75434370  75437669  75438716  75439876  75444663  75445093  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       4.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       1.0      12.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       4.0       1.0   \n",
       "4                 NaN       NaN       NaN       2.0       2.0       1.0   \n",
       "\n",
       "customer_id  75448743  75450308  75463975  75470815  75472683  75474815  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       3.0   \n",
       "1                 2.0       NaN       2.0       NaN       1.0       3.0   \n",
       "2                 NaN       NaN       NaN       NaN       1.0       1.0   \n",
       "3                 NaN       1.0       3.0       NaN       NaN       3.0   \n",
       "4                 1.0       NaN       1.0       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  75474864  75487548  75488443  75496316  75500611  75504397  \\\n",
       "num_day                                                                   \n",
       "0                 7.0       NaN       NaN       2.0       4.0       NaN   \n",
       "1                 1.0       NaN       NaN       NaN       3.0       5.0   \n",
       "2                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 4.0       NaN       NaN       NaN       2.0       NaN   \n",
       "4                 1.0       NaN       NaN       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  75521890  75538766  75555017  75562265  75562483  75580356  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       2.0       1.0       NaN       NaN       1.0   \n",
       "1                 2.0       1.0       NaN       NaN       NaN       NaN   \n",
       "2                 2.0       1.0       1.0       NaN       1.0       4.0   \n",
       "3                 1.0       NaN       1.0       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  75581098  75586727  75599132  75599721  75600622  75604431  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       6.0   \n",
       "2                 NaN       NaN       2.0       NaN       4.0       3.0   \n",
       "3                 1.0       NaN       1.0       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       1.0       7.0   \n",
       "\n",
       "customer_id  75610771  75612674  75615871  75616801  75634261  75650930  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       3.0       2.0       NaN       NaN   \n",
       "1                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       7.0       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       4.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  75662337  75663219  75668143  75668252  75669588  75669940  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       1.0       NaN       NaN       NaN       1.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "3                 1.0       NaN       NaN       NaN       1.0       1.0   \n",
       "4                 1.0       4.0       NaN       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  75671273  75672703  75685115  75685549  75687592  75692529  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       2.0       6.0       3.0       NaN   \n",
       "1                 NaN       1.0       1.0       2.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       1.0       1.0       7.0       NaN       NaN   \n",
       "4                 NaN       NaN       1.0       5.0       1.0       NaN   \n",
       "\n",
       "customer_id  75699831  75707940  75717360  75721743  75724912  75733224  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       1.0       NaN       4.0       NaN       NaN   \n",
       "1                 2.0       1.0       NaN       2.0       1.0       NaN   \n",
       "2                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 1.0       3.0       NaN       1.0       NaN       NaN   \n",
       "4                 4.0       NaN       NaN       3.0       NaN       NaN   \n",
       "\n",
       "customer_id  75739243  75757132  75759478  75764715  75781902  75820447  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       5.0       NaN       NaN       NaN       NaN   \n",
       "1                 1.0       2.0       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       2.0       NaN       NaN       NaN       NaN   \n",
       "3                 1.0       4.0       NaN       NaN       NaN       NaN   \n",
       "4                 1.0       3.0       1.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  75825876  75828785  75829708  75829830  75832578  75837505  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       3.0       NaN       1.0       1.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 4.0       NaN       NaN       2.0       NaN       NaN   \n",
       "3                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  75841500  75844510  75846138  75846272  75849526  75852835  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       3.0   \n",
       "1                 NaN       NaN       NaN       NaN       2.0       1.0   \n",
       "2                 NaN       NaN       NaN       NaN       3.0       NaN   \n",
       "3                 5.0       1.0       NaN       1.0       2.0       1.0   \n",
       "4                 NaN       3.0       NaN       1.0       NaN       1.0   \n",
       "\n",
       "customer_id  75859815  75886803  75888217  75908759  75910802  75915257  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "1                 1.0       NaN       NaN       NaN       NaN       1.0   \n",
       "2                 NaN       NaN       NaN       NaN       3.0       NaN   \n",
       "3                 NaN       NaN       NaN       1.0       3.0       NaN   \n",
       "4                 NaN       NaN       NaN       3.0       6.0       NaN   \n",
       "\n",
       "customer_id  75929349  75940748  75955805  75972046  75974406  75974772  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       3.0       NaN       2.0       NaN   \n",
       "1                 3.0       3.0       1.0       4.0       2.0       NaN   \n",
       "2                 NaN       NaN       1.0       4.0       NaN       NaN   \n",
       "3                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       1.0       1.0       1.0   \n",
       "\n",
       "customer_id  75982866  75983006  75983165  75991312  75999247  76010375  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       2.0       NaN       NaN   \n",
       "1                 1.0       NaN       1.0       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "3                 NaN       NaN       1.0       7.0       NaN       NaN   \n",
       "4                 NaN       2.0       NaN      10.0       NaN       NaN   \n",
       "\n",
       "customer_id  76012643  76012702  76012945  76021120  76026954  76034809  \\\n",
       "num_day                                                                   \n",
       "0                 3.0       1.0       NaN       NaN       NaN       NaN   \n",
       "1                 1.0       NaN       NaN       1.0       NaN       NaN   \n",
       "2                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "3                 1.0       2.0       NaN       NaN       NaN       NaN   \n",
       "4                 2.0       1.0       NaN       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  76043922  76044783  76053807  76058479  76065011  76068532  \\\n",
       "num_day                                                                   \n",
       "0                19.0       NaN       NaN       1.0       NaN       NaN   \n",
       "1                16.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                10.0       NaN       NaN       1.0       NaN       2.0   \n",
       "3                 7.0       2.0       NaN       NaN       NaN       6.0   \n",
       "4                 2.0       NaN       NaN       2.0       NaN       6.0   \n",
       "\n",
       "customer_id  76071190  76073429  76084504  76092488  76096102  76097971  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       1.0       NaN       1.0       NaN       NaN   \n",
       "1                 NaN       1.0       1.0       NaN       NaN       NaN   \n",
       "2                 NaN       1.0       4.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       3.0       NaN       NaN       NaN   \n",
       "4                 NaN       3.0       NaN       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  76111213  76113396  76122863  76123682  76125828  76131079  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       4.0       NaN       NaN       1.0       NaN   \n",
       "4                 NaN       1.0       NaN       5.0       NaN       NaN   \n",
       "\n",
       "customer_id  76132762  76133553  76145298  76149190  76149338  76151984  \\\n",
       "num_day                                                                   \n",
       "0                 3.0       2.0       1.0       NaN       NaN       NaN   \n",
       "1                 2.0       NaN       NaN       NaN       NaN       2.0   \n",
       "2                 1.0       1.0       4.0       NaN       1.0       NaN   \n",
       "3                 3.0       NaN       1.0       NaN       2.0       NaN   \n",
       "4                 9.0       NaN       1.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  76166609  76166690  76168127  76169287  76170259  76172708  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       1.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "3                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       2.0       NaN       1.0       2.0       NaN   \n",
       "\n",
       "customer_id  76181618  76182785  76194528  76222234  76229751  76229986  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       1.0       1.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  76235908  76243795  76245502  76252471  76275019  76275465  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       NaN       5.0       NaN   \n",
       "1                 1.0       NaN       NaN       1.0       7.0       1.0   \n",
       "2                 NaN       NaN       NaN       NaN       6.0       1.0   \n",
       "3                 NaN       NaN       NaN       NaN       1.0       2.0   \n",
       "4                 NaN       3.0       NaN       NaN       4.0       1.0   \n",
       "\n",
       "customer_id  76279638  76280977  76282911  76293656  76294176  76295130  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       3.0       1.0       NaN       1.0       2.0   \n",
       "1                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       2.0       1.0       NaN       NaN       NaN   \n",
       "3                 NaN       3.0       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       1.0       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  76295599  76297011  76310395  76313007  76313641  76316323  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       4.0       3.0       NaN       2.0   \n",
       "1                 1.0       NaN       1.0       1.0       NaN       NaN   \n",
       "2                 NaN       NaN       4.0       2.0       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 2.0       3.0       NaN      10.0       NaN       NaN   \n",
       "\n",
       "customer_id  76329106  76340243  76343616  76345668  76348095  76357189  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       4.0       NaN   \n",
       "1                 NaN       NaN       NaN       3.0       2.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  76362870  76366172  76368949  76375245  76380054  76389630  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       2.0       NaN       1.0   \n",
       "1                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       9.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       1.0       1.0       NaN       5.0   \n",
       "\n",
       "customer_id  76409349  76415680  76417408  76419440  76419677  76435561  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       1.0       1.0   \n",
       "1                 NaN       NaN       NaN       NaN       3.0       1.0   \n",
       "2                 NaN       NaN       NaN       NaN       2.0       2.0   \n",
       "3                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "4                 NaN       2.0       NaN       NaN       1.0       1.0   \n",
       "\n",
       "customer_id  76436579  76437144  76437448  76437801  76440998  76442569  \\\n",
       "num_day                                                                   \n",
       "0                10.0       NaN       7.0       NaN       NaN       NaN   \n",
       "1                 4.0       NaN       NaN       1.0       NaN       NaN   \n",
       "2                 4.0       NaN       4.0       1.0       NaN       NaN   \n",
       "3                 2.0       NaN       5.0       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       4.0       1.0       NaN       2.0   \n",
       "\n",
       "customer_id  76448946  76449337  76469565  76475250  76477099  76497916  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       2.0       NaN       2.0   \n",
       "1                 NaN       NaN       1.0       NaN       NaN       1.0   \n",
       "2                 NaN       NaN       NaN       1.0       NaN       1.0   \n",
       "3                 3.0       NaN       NaN       7.0       NaN       NaN   \n",
       "4                 NaN       4.0       NaN       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  76508197  76508289  76510478  76547967  76553385  76563396  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       4.0       1.0       NaN   \n",
       "3                 1.0       1.0       NaN       3.0       NaN       NaN   \n",
       "4                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  76566285  76580001  76582767  76583555  76584911  76592072  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  76598280  76599235  76606343  76606773  76626549  76632544  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       1.0       3.0       NaN   \n",
       "1                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       8.0       1.0       NaN   \n",
       "3                 NaN       NaN       5.0       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  76644413  76644983  76655905  76658003  76675942  76682945  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       1.0       NaN       4.0       NaN       NaN   \n",
       "1                 8.0       1.0       NaN       NaN       NaN       NaN   \n",
       "2                 2.0       2.0       NaN       1.0       2.0       1.0   \n",
       "3                 2.0       2.0       NaN       3.0       NaN       NaN   \n",
       "4                 3.0       NaN       NaN       NaN       2.0       NaN   \n",
       "\n",
       "customer_id  76683414  76691078  76695883  76716437  76722928  76733132  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       3.0       1.0       2.0       3.0       1.0   \n",
       "1                 NaN       3.0       2.0       4.0       NaN       NaN   \n",
       "2                 NaN       2.0       NaN       NaN       NaN       NaN   \n",
       "3                 2.0       2.0       3.0       1.0       NaN       NaN   \n",
       "4                 NaN       3.0       NaN       3.0       NaN       NaN   \n",
       "\n",
       "customer_id  76758933  76762108  76762172  76770632  76773689  76781240  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 2.0       NaN       1.0       NaN       NaN       NaN   \n",
       "2                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 1.0       NaN       NaN       1.0       1.0       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  76781413  76788213  76804225  76804274  76805207  76817755  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       3.0       NaN       NaN   \n",
       "1                 NaN       1.0       NaN       3.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       4.0       NaN       NaN   \n",
       "3                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  76824089  76826009  76828813  76844676  76844980  76858175  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       NaN       5.0       NaN   \n",
       "1                 2.0       NaN       NaN       1.0       1.0       NaN   \n",
       "2                 NaN       NaN       NaN       1.0       5.0       NaN   \n",
       "3                 NaN       NaN       NaN       1.0       4.0       NaN   \n",
       "4                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "\n",
       "customer_id  76858275  76869749  76873019  76873751  76878167  76879710  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       NaN       7.0       1.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "2                 NaN       1.0       NaN       NaN       1.0       2.0   \n",
       "3                 NaN       2.0       NaN       2.0       1.0       4.0   \n",
       "4                 NaN       NaN       NaN       NaN       1.0       2.0   \n",
       "\n",
       "customer_id  76882240  76888933  76890188  76892003  76912391  76921879  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       2.0       NaN       NaN       3.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       3.0       NaN   \n",
       "3                 NaN       1.0       NaN       NaN       1.0       NaN   \n",
       "4                 1.0       2.0       NaN       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  76922612  76924312  76932822  76951783  76955574  76957101  \\\n",
       "num_day                                                                   \n",
       "0                 3.0       1.0       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "2                 3.0       1.0       NaN       NaN       NaN       NaN   \n",
       "3                 3.0       1.0       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  76958479  76960318  76974831  76983562  76987147  76988366  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       3.0       1.0       1.0       1.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       1.0       3.0   \n",
       "2                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "3                 NaN       3.0       NaN       NaN       NaN       1.0   \n",
       "4                 2.0       2.0       NaN       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  76996086  77000135  77002039  77005402  77010833  77013069  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       1.0       NaN       NaN       1.0   \n",
       "1                 NaN       NaN       NaN       NaN       2.0       1.0   \n",
       "2                 NaN       1.0       1.0       NaN       NaN       NaN   \n",
       "3                 1.0       NaN       1.0       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  77019439  77023107  77031071  77036138  77036586  77044325  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       NaN       NaN       1.0   \n",
       "1                 NaN       3.0       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "3                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       1.0       NaN       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  77058473  77068875  77072333  77078020  77084405  77087708  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       4.0       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "3                 NaN       1.0       1.0       NaN       NaN       NaN   \n",
       "4                 1.0       NaN       1.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  77091333  77094156  77097428  77097744  77106402  77106908  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       5.0       NaN       1.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       2.0       1.0       NaN       NaN   \n",
       "4                 NaN       NaN       1.0       2.0       NaN       NaN   \n",
       "\n",
       "customer_id  77125355  77128216  77134120  77148640  77152157  77156888  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 5.0       NaN       1.0       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 1.0       NaN       2.0       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  77167567  77169964  77171868  77175145  77189566  77190492  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       8.0       NaN       NaN       2.0       1.0   \n",
       "1                 NaN       3.0       NaN       NaN       4.0       NaN   \n",
       "2                 NaN       1.0       NaN       NaN       1.0       NaN   \n",
       "3                 NaN       1.0       NaN       NaN       2.0       1.0   \n",
       "4                 NaN       NaN       NaN       NaN       2.0       1.0   \n",
       "\n",
       "customer_id  77197207  77197301  77217130  77226156  77230698  77232640  \\\n",
       "num_day                                                                   \n",
       "0                 3.0       NaN       NaN       3.0       4.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "2                 NaN       1.0       NaN       NaN       3.0       NaN   \n",
       "3                 NaN       NaN       NaN       4.0       9.0       NaN   \n",
       "4                 NaN       NaN       NaN       2.0       4.0       NaN   \n",
       "\n",
       "customer_id  77237200  77241644  77245317  77248184  77249213  77253263  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       6.0       NaN       NaN   \n",
       "1                 1.0       NaN       2.0       1.0       NaN       NaN   \n",
       "2                 NaN       NaN       3.0       3.0       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       4.0       NaN       NaN   \n",
       "4                 NaN       NaN       1.0       9.0       NaN       NaN   \n",
       "\n",
       "customer_id  77255210  77258785  77259781  77275321  77275638  77277302  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       2.0       1.0       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "3                 3.0       1.0       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  77283676  77283889  77292008  77305367  77317057  77317237  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 1.0       NaN       1.0       NaN       NaN       NaN   \n",
       "4                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  77320734  77326951  77329472  77335574  77354267  77366344  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "1                 4.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 2.0       NaN       NaN       2.0       NaN       3.0   \n",
       "4                 1.0       NaN       NaN       2.0       NaN       2.0   \n",
       "\n",
       "customer_id  77368600  77388478  77391649  77399643  77426468  77435966  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       8.0       NaN       1.0       NaN   \n",
       "1                 NaN       NaN       3.0       NaN       NaN       1.0   \n",
       "2                 NaN       NaN       NaN       NaN       3.0       NaN   \n",
       "3                 NaN       1.0       5.0       NaN       NaN       4.0   \n",
       "4                 NaN       NaN       7.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  77436906  77438414  77442945  77484761  77493006  77502597  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  77520174  77527234  77529223  77530316  77551525  77552433  \\\n",
       "num_day                                                                   \n",
       "0                 3.0       NaN       4.0       NaN       NaN       NaN   \n",
       "1                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  77567092  77568883  77582760  77583591  77587776  77592534  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       6.0       NaN       NaN       2.0       NaN   \n",
       "1                 1.0       3.0       NaN       1.0       NaN       NaN   \n",
       "2                 2.0       1.0       NaN       NaN       1.0       NaN   \n",
       "3                 1.0       2.0       NaN       NaN       3.0       3.0   \n",
       "4                 2.0       1.0       2.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  77597780  77600546  77627283  77634195  77646806  77651794  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       3.0       2.0       NaN       NaN   \n",
       "1                 5.0       NaN       3.0       1.0       NaN       NaN   \n",
       "2                 1.0       NaN       NaN       2.0       NaN       NaN   \n",
       "3                 3.0       NaN       NaN       2.0       NaN       NaN   \n",
       "4                 1.0       NaN       NaN       2.0       NaN       NaN   \n",
       "\n",
       "customer_id  77655748  77662388  77686369  77690856  77695202  77726496  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "1                 5.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 2.0       NaN       NaN       NaN       1.0       NaN   \n",
       "3                 2.0       NaN       NaN       NaN       5.0       NaN   \n",
       "4                 2.0       NaN       NaN       NaN       2.0       NaN   \n",
       "\n",
       "customer_id  77729054  77739891  77740256  77742800  77755850  77761666  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       2.0       NaN       NaN       NaN       NaN   \n",
       "1                 3.0       NaN       NaN       NaN       1.0       NaN   \n",
       "2                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  77762327  77770586  77773677  77774787  77783074  77800578  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  77809947  77815647  77821007  77825659  77827914  77846176  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       NaN       NaN       1.0   \n",
       "1                 6.0       4.0       3.0       NaN       2.0       3.0   \n",
       "2                 4.0       3.0       NaN       NaN       NaN       2.0   \n",
       "3                 8.0       1.0       NaN       NaN       NaN       NaN   \n",
       "4                10.0       4.0       1.0       5.0       NaN       NaN   \n",
       "\n",
       "customer_id  77856088  77862154  77873298  77874706  77880992  77916307  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       1.0       2.0       1.0       NaN   \n",
       "1                 NaN       NaN       1.0       NaN       1.0       NaN   \n",
       "2                 NaN       NaN       2.0       NaN       2.0       1.0   \n",
       "3                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "4                 NaN       NaN       1.0       1.0       1.0       NaN   \n",
       "\n",
       "customer_id  77925382  77928940  77936187  77942049  77952668  77957372  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "4                 NaN       NaN       NaN       1.0       2.0       NaN   \n",
       "\n",
       "customer_id  77958234  77963577  77974617  77979812  77981085  77986847  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       2.0       1.0       3.0       NaN   \n",
       "1                 NaN       NaN       2.0       1.0       NaN       NaN   \n",
       "2                 NaN       NaN       1.0       1.0       1.0       NaN   \n",
       "3                 NaN       NaN       1.0       NaN       2.0       NaN   \n",
       "4                 NaN       NaN       1.0       1.0       2.0       NaN   \n",
       "\n",
       "customer_id  77992281  77998686  78002711  78012586  78016866  78024219  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       4.0       1.0   \n",
       "1                 2.0       NaN       NaN       2.0       NaN       2.0   \n",
       "2                 2.0       NaN       NaN       NaN       4.0       NaN   \n",
       "3                 NaN       NaN       NaN       1.0       4.0       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       7.0       NaN   \n",
       "\n",
       "customer_id  78025217  78025742  78028657  78029866  78044629  78045598  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       3.0       3.0       3.0       NaN   \n",
       "1                 1.0       NaN       2.0       1.0       NaN       NaN   \n",
       "2                 1.0       NaN       NaN       3.0       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "4                 NaN       NaN       2.0       3.0       NaN       NaN   \n",
       "\n",
       "customer_id  78046743  78047859  78048489  78058615  78066879  78076605  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       1.0       4.0   \n",
       "1                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "2                 NaN      10.0       NaN       NaN       NaN       1.0   \n",
       "3                 NaN       4.0       NaN       NaN       NaN       2.0   \n",
       "4                 NaN       4.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  78077934  78085289  78089834  78093242  78101015  78101760  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       NaN       4.0       1.0   \n",
       "1                 1.0       NaN       1.0       NaN       NaN       NaN   \n",
       "2                 NaN       1.0       NaN       NaN       2.0       NaN   \n",
       "3                 2.0       1.0       1.0       NaN       1.0       NaN   \n",
       "4                 1.0       1.0       NaN       2.0       NaN       NaN   \n",
       "\n",
       "customer_id  78103849  78109597  78115218  78115851  78121191  78130384  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       2.0       1.0       NaN   \n",
       "1                 NaN       NaN       NaN       1.0       NaN       1.0   \n",
       "2                 NaN       NaN       NaN       3.0       1.0       NaN   \n",
       "3                 NaN       3.0       NaN       4.0       1.0       NaN   \n",
       "4                 NaN       NaN       1.0       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  78136227  78153509  78155779  78156500  78157637  78186078  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       1.0       2.0   \n",
       "2                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "3                 NaN       4.0       NaN       NaN       6.0       NaN   \n",
       "4                 2.0       NaN       NaN       NaN       2.0       NaN   \n",
       "\n",
       "customer_id  78187671  78194360  78202726  78203753  78204059  78208546  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       5.0       5.0      14.0       NaN   \n",
       "1                 NaN       NaN       3.0       NaN      11.0       NaN   \n",
       "2                 NaN       NaN       3.0       1.0       3.0       NaN   \n",
       "3                 NaN       NaN       4.0       1.0       2.0       NaN   \n",
       "4                 NaN       3.0       1.0       1.0       1.0       NaN   \n",
       "\n",
       "customer_id  78210149  78212002  78214402  78215370  78223460  78230017  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       1.0       2.0       3.0       1.0       1.0   \n",
       "1                 NaN       NaN       1.0       NaN       1.0       1.0   \n",
       "2                 NaN       1.0       2.0       1.0       NaN       NaN   \n",
       "3                 NaN       NaN       5.0       2.0       1.0       NaN   \n",
       "4                 NaN       1.0       3.0       NaN       6.0       NaN   \n",
       "\n",
       "customer_id  78235796  78236376  78237178  78275041  78276278  78291801  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       3.0       NaN       NaN   \n",
       "1                 3.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "3                 2.0       NaN       NaN       2.0       2.0       NaN   \n",
       "4                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  78293319  78298740  78308523  78336615  78336819  78358949  \\\n",
       "num_day                                                                   \n",
       "0                 8.0       NaN       NaN       NaN       NaN       2.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "4                11.0       NaN       NaN       NaN       NaN       4.0   \n",
       "\n",
       "customer_id  78360368  78370125  78374578  78386413  78395007  78397547  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       2.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "4                 NaN       NaN       1.0       2.0       NaN       NaN   \n",
       "\n",
       "customer_id  78408006  78421887  78428645  78437901  78439787  78440405  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "2                 NaN       NaN       NaN       2.0       NaN       1.0   \n",
       "3                 NaN       NaN       NaN       3.0       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       4.0   \n",
       "\n",
       "customer_id  78441633  78445041  78446910  78476887  78484785  78490146  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       4.0   \n",
       "2                 NaN       NaN       NaN       1.0       NaN       1.0   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  78501857  78513961  78529495  78538730  78541979  78545921  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       3.0       5.0       NaN   \n",
       "1                 NaN       4.0       NaN       3.0       NaN       NaN   \n",
       "2                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       2.0       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  78548598  78551097  78559970  78567402  78570232  78577781  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       3.0       NaN   \n",
       "1                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "3                 1.0       NaN       NaN       NaN       2.0       NaN   \n",
       "4                 NaN       NaN       1.0       NaN       3.0       NaN   \n",
       "\n",
       "customer_id  78581679  78585529  78587445  78593569  78603033  78603727  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       5.0       1.0   \n",
       "1                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "3                 NaN       NaN       NaN       NaN       1.0       2.0   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  78603934  78612665  78629672  78649713  78661245  78665301  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       NaN       1.0       1.0   \n",
       "1                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "2                 NaN       1.0       5.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       2.0       1.0   \n",
       "4                 NaN       1.0       3.0       NaN       4.0       1.0   \n",
       "\n",
       "customer_id  78665503  78681889  78693783  78695523  78714161  78715837  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       1.0       7.0       NaN   \n",
       "1                 1.0       NaN       NaN       NaN       1.0       NaN   \n",
       "2                 NaN       NaN       NaN       1.0       4.0       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "4                 3.0       NaN       NaN       2.0       4.0       NaN   \n",
       "\n",
       "customer_id  78720273  78728657  78728860  78729471  78737613  78738215  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       2.0       5.0       NaN       4.0   \n",
       "1                 2.0       NaN       NaN       2.0       NaN       4.0   \n",
       "2                 1.0       NaN       NaN       NaN       NaN       1.0   \n",
       "3                 NaN       NaN       2.0       5.0       NaN       5.0   \n",
       "4                 1.0       NaN       NaN       4.0       NaN       1.0   \n",
       "\n",
       "customer_id  78743091  78763802  78771111  78772251  78773456  78773470  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       6.0       NaN       NaN       2.0       NaN   \n",
       "1                 NaN       2.0       NaN       1.0       1.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       2.0       NaN       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  78773787  78774857  78780287  78781337  78791390  78796877  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  78802734  78808508  78833879  78835307  78841869  78847089  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       2.0       NaN       3.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  78850370  78855685  78858518  78859723  78867169  78878144  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       1.0       2.0       3.0   \n",
       "1                 2.0       NaN       NaN       1.0       5.0       2.0   \n",
       "2                 1.0       2.0       NaN       1.0       6.0       NaN   \n",
       "3                 2.0       1.0       NaN       3.0       1.0       NaN   \n",
       "4                 2.0       4.0       NaN       1.0       3.0       NaN   \n",
       "\n",
       "customer_id  78889198  78890894  78910271  78911505  78911563  78914047  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       NaN       NaN       4.0   \n",
       "1                 NaN       NaN       5.0       NaN       NaN       1.0   \n",
       "2                 1.0       NaN       1.0       NaN       NaN       NaN   \n",
       "3                 NaN       1.0       2.0       NaN       NaN       NaN   \n",
       "4                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  78917074  78929600  78934051  78935938  78940625  78941524  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "1                 NaN       NaN       NaN       3.0       3.0       NaN   \n",
       "2                 NaN       2.0       1.0       NaN       NaN       5.0   \n",
       "3                 NaN       2.0       1.0       2.0       NaN       1.0   \n",
       "4                 NaN       1.0       NaN       1.0       1.0       NaN   \n",
       "\n",
       "customer_id  78942947  78951974  78955924  78958375  78970218  78971194  \\\n",
       "num_day                                                                   \n",
       "0                 4.0       NaN       3.0       NaN       NaN       3.0   \n",
       "1                 5.0       NaN       NaN       NaN       5.0       2.0   \n",
       "2                 NaN       NaN       NaN       NaN       2.0       1.0   \n",
       "3                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "\n",
       "customer_id  78983227  78996587  79005623  79010721  79027525  79028770  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       2.0       NaN       NaN       1.0   \n",
       "1                 NaN       3.0       3.0       NaN       NaN       1.0   \n",
       "2                 NaN       NaN       3.0       NaN       NaN       NaN   \n",
       "3                 NaN       3.0       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       7.0       NaN   \n",
       "\n",
       "customer_id  79035179  79038293  79057931  79073096  79077776  79078066  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       5.0       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       4.0       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       3.0       NaN       NaN       NaN   \n",
       "3                 2.0       NaN       4.0       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       4.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  79080894  79091959  79097237  79100940  79115962  79124749  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "1                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "2                 1.0       NaN       1.0       NaN       1.0       NaN   \n",
       "3                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       6.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  79129207  79131647  79134293  79155704  79157249  79161157  \\\n",
       "num_day                                                                   \n",
       "0                 6.0       NaN       1.0       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       5.0       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       3.0       NaN       1.0       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 6.0       NaN       NaN       5.0       NaN       NaN   \n",
       "\n",
       "customer_id  79161738  79161779  79166625  79176394  79180109  79190098  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       8.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       5.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  79206023  79211748  79234200  79234235  79241506  79244056  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       5.0       5.0       1.0   \n",
       "1                 NaN       NaN       NaN       2.0       NaN       1.0   \n",
       "2                 NaN       NaN       NaN       4.0       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       7.0       1.0       NaN   \n",
       "4                 NaN       NaN       NaN       2.0       1.0       NaN   \n",
       "\n",
       "customer_id  79244627  79246108  79261285  79274575  79278466  79280282  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       1.0       NaN       1.0   \n",
       "1                 NaN       2.0       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       6.0       NaN       NaN       NaN       1.0   \n",
       "3                 NaN       1.0       NaN       NaN       NaN       5.0   \n",
       "4                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "\n",
       "customer_id  79286032  79304680  79321784  79340305  79361268  79363745  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "1                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 1.0       NaN       1.0       NaN       NaN       1.0   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 3.0       NaN       NaN       NaN       NaN       2.0   \n",
       "\n",
       "customer_id  79375864  79384060  79386658  79387154  79405352  79414195  \\\n",
       "num_day                                                                   \n",
       "0                 4.0       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 4.0       NaN       NaN       NaN       2.0       NaN   \n",
       "2                 NaN       1.0       1.0       NaN       2.0       NaN   \n",
       "3                 6.0       2.0       NaN       2.0       3.0       NaN   \n",
       "4                 1.0       NaN       1.0       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  79422293  79424199  79431697  79434044  79434229  79435898  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       2.0       NaN       1.0       2.0       1.0   \n",
       "1                 1.0       2.0       NaN       1.0       2.0       1.0   \n",
       "2                 NaN       NaN       NaN       NaN       1.0       1.0   \n",
       "3                 NaN       NaN       1.0       1.0       1.0       NaN   \n",
       "4                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  79452683  79462450  79471746  79480581  79482155  79492634  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       2.0       NaN       NaN       1.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       3.0       2.0       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       2.0       NaN       NaN       4.0   \n",
       "\n",
       "customer_id  79496375  79503987  79518624  79527571  79532297  79534606  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       3.0       1.0       1.0   \n",
       "1                 NaN       1.0       NaN       NaN       1.0       NaN   \n",
       "2                 NaN       NaN       NaN       1.0       4.0       NaN   \n",
       "3                 NaN       1.0       NaN       NaN       1.0       NaN   \n",
       "4                 1.0       2.0       NaN       NaN       3.0       1.0   \n",
       "\n",
       "customer_id  79541861  79552722  79555354  79560229  79563110  79565843  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       2.0       NaN       NaN       5.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "2                 1.0       NaN       NaN       NaN       1.0       2.0   \n",
       "3                 NaN       NaN       1.0       NaN       2.0       2.0   \n",
       "4                 3.0       NaN       2.0       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  79571948  79574943  79575302  79575808  79583123  79610861  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       6.0       NaN       2.0   \n",
       "1                 NaN       NaN       3.0       6.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       5.0       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       3.0       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       5.0       NaN       NaN   \n",
       "\n",
       "customer_id  79618475  79620564  79637922  79651450  79668349  79673986  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       2.0       1.0       2.0       NaN       NaN   \n",
       "1                 NaN       1.0       2.0       2.0       NaN       NaN   \n",
       "2                 1.0       1.0       2.0       NaN       2.0       NaN   \n",
       "3                 2.0       2.0       2.0       NaN       1.0       NaN   \n",
       "4                 NaN       NaN       6.0       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  79678716  79685736  79686363  79686538  79692896  79704528  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       6.0       NaN       NaN       NaN   \n",
       "1                10.0       NaN       1.0       NaN       NaN       NaN   \n",
       "2                 2.0       2.0       NaN       NaN       4.0       NaN   \n",
       "3                 4.0       NaN       2.0       NaN       NaN       1.0   \n",
       "4                 2.0       NaN       2.0       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  79708376  79709826  79714704  79715080  79716246  79717877  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "1                 NaN       2.0       1.0       NaN       NaN       NaN   \n",
       "2                 1.0       NaN       NaN       NaN       1.0       NaN   \n",
       "3                 2.0       1.0       NaN       NaN       NaN       NaN   \n",
       "4                 1.0       1.0       2.0       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  79728544  79733502  79738792  79743129  79751499  79751608  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       1.0       3.0   \n",
       "1                 1.0       NaN       NaN       NaN       2.0       7.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       5.0   \n",
       "3                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "4                 NaN       3.0       NaN       1.0       NaN       3.0   \n",
       "\n",
       "customer_id  79753092  79780256  79784743  79791349  79792871  79803584  \\\n",
       "num_day                                                                   \n",
       "0                 6.0       NaN       NaN       1.0       NaN       NaN   \n",
       "1                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 5.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 1.0       NaN       NaN       3.0       NaN       2.0   \n",
       "4                 3.0       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  79810881  79818906  79837941  79840653  79843482  79843973  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "1                 2.0       NaN       NaN       NaN       2.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "3                 1.0       NaN       1.0       1.0       8.0       4.0   \n",
       "4                 NaN       NaN       2.0       NaN       2.0       1.0   \n",
       "\n",
       "customer_id  79844656  79850492  79853021  79854567  79867228  79873414  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "2                 1.0       NaN       2.0       NaN       NaN       1.0   \n",
       "3                 NaN       5.0       NaN       NaN       NaN       1.0   \n",
       "4                 NaN       2.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  79875919  79878240  79899668  79903635  79911454  79913275  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       NaN       NaN       3.0       NaN   \n",
       "1                 2.0       NaN       NaN       NaN       1.0       5.0   \n",
       "2                 NaN       NaN       NaN       NaN       1.0       2.0   \n",
       "3                 NaN       NaN       NaN       NaN       1.0       1.0   \n",
       "4                 NaN       NaN       1.0       2.0       3.0       NaN   \n",
       "\n",
       "customer_id  79937759  79944617  79958341  79963186  79963943  79965972  \\\n",
       "num_day                                                                   \n",
       "0                 4.0       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       3.0       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "3                 NaN       2.0       NaN       2.0       NaN       NaN   \n",
       "4                 1.0       1.0       NaN       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  79973951  79986613  80012667  80021276  80022190  80043060  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       3.0       NaN       3.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       3.0       5.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 2.0       NaN       NaN       1.0       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  80063130  80064014  80072232  80092328  80099081  80112107  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       3.0       NaN       4.0       NaN       1.0   \n",
       "1                 3.0       NaN       NaN       2.0       NaN       3.0   \n",
       "2                 NaN       1.0       NaN       1.0       NaN       1.0   \n",
       "3                 1.0       3.0       NaN       1.0       NaN       NaN   \n",
       "4                 1.0       NaN       NaN       4.0       NaN       1.0   \n",
       "\n",
       "customer_id  80112843  80114946  80117442  80120933  80127004  80140038  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       2.0       3.0   \n",
       "1                 NaN       NaN       NaN       1.0       1.0       1.0   \n",
       "2                 NaN       NaN       NaN       5.0       2.0       NaN   \n",
       "3                 NaN       1.0       NaN       1.0       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "\n",
       "customer_id  80140412  80152207  80168324  80174387  80174742  80185881  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       2.0       1.0       NaN   \n",
       "1                 1.0       NaN       NaN       1.0       NaN       NaN   \n",
       "2                 1.0       NaN       1.0       NaN       NaN       NaN   \n",
       "3                 1.0       NaN       NaN       2.0       NaN       NaN   \n",
       "4                 3.0       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  80197904  80216017  80219999  80223109  80229606  80235715  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       1.0       NaN       NaN      13.0       NaN   \n",
       "1                 2.0       2.0       NaN       NaN       3.0       1.0   \n",
       "2                 NaN       4.0       NaN       NaN       NaN       5.0   \n",
       "3                 1.0       1.0       NaN       NaN       3.0       NaN   \n",
       "4                 2.0       1.0       NaN       2.0       5.0       NaN   \n",
       "\n",
       "customer_id  80235969  80240089  80243149  80247250  80249747  80264771  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       1.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       4.0   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  80269026  80278552  80288115  80292281  80298679  80301732  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "\n",
       "customer_id  80324834  80325599  80331661  80334049  80339866  80345852  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       4.0       1.0       NaN   \n",
       "1                 NaN       NaN       NaN       1.0       NaN       7.0   \n",
       "2                 NaN       NaN       1.0       2.0       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  80357050  80378441  80383406  80396561  80409954  80410334  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       NaN       NaN       3.0       NaN   \n",
       "1                 NaN       NaN       NaN       2.0       4.0       2.0   \n",
       "2                 2.0       1.0       NaN       3.0       1.0       NaN   \n",
       "3                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 2.0       1.0       NaN       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  80410859  80412249  80417676  80432221  80434437  80435602  \\\n",
       "num_day                                                                   \n",
       "0                 3.0       1.0       2.0       2.0       NaN       NaN   \n",
       "1                 1.0       NaN       1.0       3.0       NaN       NaN   \n",
       "2                 NaN       2.0       NaN       2.0       6.0       NaN   \n",
       "3                 NaN       2.0       1.0       3.0       1.0       NaN   \n",
       "4                 NaN       1.0       NaN       NaN       2.0       NaN   \n",
       "\n",
       "customer_id  80437697  80444902  80452059  80467457  80470048  80474021  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       1.0       1.0       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "2                 1.0       NaN       NaN       1.0       NaN       NaN   \n",
       "3                 3.0       1.0       NaN       1.0       NaN       2.0   \n",
       "4                 3.0       NaN       NaN       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  80476834  80482582  80487395  80521010  80524003  80529711  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       4.0       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       2.0       NaN       NaN       NaN       2.0   \n",
       "2                 NaN       2.0       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "4                 NaN       3.0       NaN       NaN       1.0       2.0   \n",
       "\n",
       "customer_id  80542808  80543881  80550801  80551039  80552096  80552815  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "4                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  80555736  80557463  80559852  80567667  80568382  80572800  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       3.0       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  80573409  80573470  80575461  80583738  80585790  80591981  \\\n",
       "num_day                                                                   \n",
       "0                 3.0       1.0       NaN       NaN       NaN       2.0   \n",
       "1                 4.0       NaN       NaN       1.0       1.0       1.0   \n",
       "2                 5.0       NaN       NaN       1.0       NaN       NaN   \n",
       "3                 1.0       NaN       NaN       3.0       NaN       1.0   \n",
       "4                 1.0       NaN       NaN       2.0       NaN       4.0   \n",
       "\n",
       "customer_id  80599627  80599806  80600060  80603751  80608304  80608679  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "4                 4.0       NaN       NaN       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  80613198  80615194  80615590  80638494  80641897  80647302  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       4.0       NaN       NaN       NaN   \n",
       "1                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "3                 NaN       NaN       7.0       NaN       1.0       NaN   \n",
       "4                 NaN       1.0       NaN       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  80654697  80670685  80678417  80680534  80682584  80689446  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       3.0       NaN       2.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       3.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  80695715  80698386  80723184  80723592  80741845  80742712  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       3.0       NaN       2.0       1.0   \n",
       "1                 1.0       NaN       NaN       NaN       3.0       NaN   \n",
       "2                 NaN       NaN       6.0       NaN       4.0       NaN   \n",
       "3                 NaN       NaN       1.0       1.0       2.0       NaN   \n",
       "4                 1.0       6.0       1.0       1.0       1.0       1.0   \n",
       "\n",
       "customer_id  80776562  80777190  80777234  80783299  80795846  80795959  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       2.0       NaN       NaN       NaN       NaN   \n",
       "1                 2.0       1.0       2.0       6.0       NaN       NaN   \n",
       "2                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 6.0       1.0       NaN       NaN       NaN       NaN   \n",
       "4                 1.0       1.0       NaN       2.0       NaN       NaN   \n",
       "\n",
       "customer_id  80835412  80857108  80858945  80877376  80882045  80884793  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       3.0       NaN       NaN       NaN       1.0   \n",
       "2                 NaN       7.0       NaN       NaN       NaN       NaN   \n",
       "3                 3.0       1.0       NaN       2.0       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  80892355  80902013  80917162  80921652  80922666  80928297  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       1.0       1.0   \n",
       "1                 NaN       2.0       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "3                 NaN       1.0       1.0       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  80929391  80931561  80932478  80934822  80935004  80946485  \\\n",
       "num_day                                                                   \n",
       "0                 4.0       3.0       NaN       NaN       1.0       NaN   \n",
       "1                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 5.0       2.0       NaN       NaN       2.0       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  80946966  80952413  80954841  80958348  80961223  80977744  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "1                 3.0       1.0       NaN       NaN       1.0       NaN   \n",
       "2                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "3                 2.0       NaN       NaN       2.0       NaN       NaN   \n",
       "4                 4.0       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  80981100  80989339  81003678  81009032  81014923  81015865  \\\n",
       "num_day                                                                   \n",
       "0                12.0       NaN       NaN       1.0       NaN       2.0   \n",
       "1                 2.0       NaN       NaN       1.0       NaN       NaN   \n",
       "2                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 4.0       NaN       NaN       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  81019657  81021159  81035597  81058555  81061748  81086442  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "1                 NaN       1.0       NaN       4.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       5.0       NaN      30.0       NaN       NaN   \n",
       "4                 NaN       NaN       1.0       5.0       NaN       NaN   \n",
       "\n",
       "customer_id  81092932  81095386  81099335  81110905  81112840  81114736  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       4.0       NaN       NaN       1.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "3                 1.0       NaN       NaN       1.0       NaN       3.0   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  81135337  81157586  81170477  81170837  81173369  81176688  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       2.0       NaN       NaN       NaN       1.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "2                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  81179196  81181832  81186549  81193678  81205414  81205700  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       6.0       NaN       2.0       1.0       4.0   \n",
       "1                 1.0       3.0       NaN       1.0       NaN       2.0   \n",
       "2                 NaN       1.0       NaN       NaN       NaN       1.0   \n",
       "3                 2.0       NaN       NaN       1.0       NaN       2.0   \n",
       "4                 2.0       NaN       NaN       1.0       NaN       1.0   \n",
       "\n",
       "customer_id  81216094  81226381  81234262  81249417  81254554  81254872  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       3.0       1.0       NaN       4.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       1.0       3.0   \n",
       "2                 NaN       2.0       NaN       NaN       NaN       1.0   \n",
       "3                 NaN       2.0       NaN       NaN       1.0       NaN   \n",
       "4                 NaN       3.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  81271975  81283163  81283191  81285545  81286022  81288145  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       2.0       NaN       NaN       1.0   \n",
       "1                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "2                 1.0       NaN       2.0       NaN       NaN       NaN   \n",
       "3                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 1.0       NaN       NaN       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  81294046  81296606  81303642  81303857  81305571  81307573  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "3                 1.0       NaN       4.0       NaN       NaN       1.0   \n",
       "4                 NaN       NaN       3.0       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  81307680  81313537  81327243  81327466  81330533  81331404  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       3.0       1.0       NaN       NaN       NaN   \n",
       "1                 NaN       2.0       NaN       3.0       1.0       NaN   \n",
       "2                 NaN       2.0       NaN       4.0       NaN       NaN   \n",
       "3                 NaN       2.0       NaN       3.0       4.0       1.0   \n",
       "4                 NaN       3.0       NaN       1.0       1.0       2.0   \n",
       "\n",
       "customer_id  81359030  81359610  81370389  81374126  81375535  81388660  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       1.0       NaN       1.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       2.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  81399705  81400054  81404322  81413578  81417143  81428597  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       3.0       NaN       NaN       NaN   \n",
       "1                 NaN       2.0       6.0       NaN       NaN       1.0   \n",
       "2                 NaN       NaN       3.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       6.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  81429049  81440707  81442390  81450459  81456554  81469705  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       1.0       5.0       NaN     121.0   \n",
       "1                 NaN       1.0       NaN      10.0       NaN      61.0   \n",
       "2                 NaN       NaN       NaN       2.0       NaN      28.0   \n",
       "3                 NaN       NaN       NaN       1.0       NaN      15.0   \n",
       "4                 NaN       NaN       1.0       6.0       NaN       9.0   \n",
       "\n",
       "customer_id  81479064  81479825  81483040  81513101  81522114  81541373  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       8.0       4.0       NaN       NaN       4.0   \n",
       "1                 4.0       NaN       NaN       NaN       NaN       2.0   \n",
       "2                 NaN       1.0       NaN       NaN       NaN       3.0   \n",
       "3                 1.0       1.0       NaN       NaN       NaN       3.0   \n",
       "4                 2.0       NaN       NaN       NaN       NaN       6.0   \n",
       "\n",
       "customer_id  81546263  81548209  81557213  81564760  81583222  81610811  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "1                 NaN       1.0       NaN       NaN       1.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       1.0       4.0       1.0       NaN       NaN   \n",
       "4                 1.0       NaN       4.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  81615369  81623686  81630787  81637000  81646318  81669205  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "1                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  81671241  81673597  81677726  81685314  81698208  81704039  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       2.0       2.0       NaN       4.0       NaN   \n",
       "1                 NaN       2.0       4.0       NaN       6.0       1.0   \n",
       "2                 NaN       NaN       3.0       NaN       NaN       NaN   \n",
       "3                 3.0       NaN       NaN       NaN       2.0       NaN   \n",
       "4                 NaN       6.0       NaN       NaN       NaN       2.0   \n",
       "\n",
       "customer_id  81709063  81711797  81721230  81727321  81727350  81737336  \\\n",
       "num_day                                                                   \n",
       "0                 3.0       1.0       1.0       NaN       NaN       4.0   \n",
       "1                 NaN       NaN       1.0       2.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "3                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "4                 NaN       3.0       NaN       2.0       NaN       5.0   \n",
       "\n",
       "customer_id  81738156  81743693  81744193  81746047  81759045  81765820  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       5.0       2.0       NaN       NaN   \n",
       "1                 3.0       NaN       3.0       1.0       NaN       NaN   \n",
       "2                 8.0       NaN       1.0       NaN       NaN       NaN   \n",
       "3                 4.0       NaN       2.0       2.0       NaN       1.0   \n",
       "4                 2.0       NaN       2.0       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  81768650  81771709  81777225  81780909  81790042  81807030  \\\n",
       "num_day                                                                   \n",
       "0                 4.0       NaN       3.0       3.0       1.0       NaN   \n",
       "1                 2.0       NaN       NaN       NaN       1.0       7.0   \n",
       "2                 2.0       NaN       NaN       NaN       2.0       2.0   \n",
       "3                 7.0       NaN       NaN       NaN       NaN       3.0   \n",
       "4                 NaN       NaN       NaN       1.0       3.0       1.0   \n",
       "\n",
       "customer_id  81807105  81812013  81820532  81821284  81824059  81827403  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       2.0       NaN       3.0   \n",
       "1                 3.0       1.0       NaN       1.0       NaN      10.0   \n",
       "2                 2.0       2.0       NaN       1.0       NaN       3.0   \n",
       "3                 1.0       NaN       1.0       2.0       NaN       5.0   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       4.0   \n",
       "\n",
       "customer_id  81833822  81837813  81846240  81848197  81862398  81863717  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       1.0       1.0       1.0       NaN   \n",
       "1                 1.0       NaN       NaN       1.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       2.0       2.0       3.0   \n",
       "3                 NaN       NaN       NaN       1.0       NaN       1.0   \n",
       "4                 NaN       NaN       3.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  81865667  81881468  81887146  81888944  81898530  81898549  \\\n",
       "num_day                                                                   \n",
       "0                 5.0       1.0       4.0       NaN       1.0       NaN   \n",
       "1                 3.0       1.0       3.0       NaN       NaN       NaN   \n",
       "2                 1.0       2.0       1.0       NaN       1.0       1.0   \n",
       "3                 1.0       2.0       3.0       NaN       5.0       NaN   \n",
       "4                 1.0       1.0       1.0       NaN       3.0       NaN   \n",
       "\n",
       "customer_id  81900479  81900784  81908367  81924309  81925661  81936989  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "1                 NaN       1.0       NaN       NaN       2.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       1.0       1.0   \n",
       "3                 NaN       1.0       NaN       NaN       2.0       3.0   \n",
       "4                 NaN       3.0       NaN       NaN       2.0       1.0   \n",
       "\n",
       "customer_id  81969361  81972666  81998653  82005177  82019973  82020705  \\\n",
       "num_day                                                                   \n",
       "0                 4.0       NaN       NaN       NaN       NaN       1.0   \n",
       "1                 NaN       NaN       NaN       NaN       3.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "3                 3.0       NaN       NaN       NaN       2.0       NaN   \n",
       "4                 3.0       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  82027598  82029848  82047088  82057183  82057938  82064262  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       2.0       4.0       NaN       1.0       1.0   \n",
       "1                 NaN       NaN       2.0       2.0       3.0       NaN   \n",
       "2                 NaN       NaN       2.0       NaN       2.0       NaN   \n",
       "3                 1.0       2.0       NaN       1.0       2.0       1.0   \n",
       "4                 NaN       NaN       2.0       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  82070267  82072486  82082452  82114742  82125598  82127108  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "1                 1.0       1.0       NaN       NaN       NaN       5.0   \n",
       "2                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "3                 2.0       NaN       NaN       2.0       NaN       NaN   \n",
       "4                 3.0       2.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  82133712  82173531  82174396  82177385  82180153  82182319  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "1                 NaN       5.0       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       3.0       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  82186195  82192368  82199578  82203542  82206834  82215023  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       7.0       NaN       NaN   \n",
       "1                 2.0       NaN       NaN       2.0       1.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 1.0       NaN       NaN       5.0       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       3.0       NaN       NaN   \n",
       "\n",
       "customer_id  82225267  82226539  82226612  82232608  82234503  82234705  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "3                 1.0       1.0       NaN       NaN       2.0       2.0   \n",
       "4                 NaN       NaN       NaN       NaN       3.0       NaN   \n",
       "\n",
       "customer_id  82235884  82239419  82244228  82247147  82252018  82256137  \\\n",
       "num_day                                                                   \n",
       "0                 8.0       NaN       1.0       NaN       1.0       1.0   \n",
       "1                 3.0       2.0       2.0       NaN       1.0       1.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 2.0       NaN       NaN       1.0       NaN       NaN   \n",
       "4                10.0       NaN       1.0       3.0       5.0       1.0   \n",
       "\n",
       "customer_id  82259377  82262943  82268474  82270827  82277885  82294843  \\\n",
       "num_day                                                                   \n",
       "0                11.0       NaN       1.0       1.0       1.0       NaN   \n",
       "1                 4.0       NaN       NaN       2.0       1.0       NaN   \n",
       "2                 6.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 7.0       NaN       NaN       NaN       4.0       NaN   \n",
       "4                 8.0       NaN       NaN       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  82308369  82312406  82315725  82318809  82335322  82336582  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  82338075  82346103  82356324  82363585  82367351  82370878  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       1.0       2.0       5.0       4.0       1.0   \n",
       "1                 1.0       1.0       2.0       NaN       4.0       NaN   \n",
       "2                 NaN       1.0       NaN       4.0       1.0       NaN   \n",
       "3                 1.0       3.0       1.0       2.0       NaN       1.0   \n",
       "4                 1.0       1.0       2.0       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  82376585  82376700  82379400  82382602  82384335  82386026  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       4.0       5.0       1.0       1.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "3                 NaN       NaN       2.0       4.0       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       3.0       NaN       NaN   \n",
       "\n",
       "customer_id  82386433  82398260  82406113  82414063  82433747  82448293  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       5.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       4.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  82453967  82454158  82461541  82479679  82483973  82486592  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "1                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  82496360  82497798  82500322  82518781  82535943  82535947  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       1.0       NaN       4.0       1.0   \n",
       "1                 6.0       NaN       NaN       NaN       NaN       5.0   \n",
       "2                 NaN       NaN       NaN       NaN       3.0       NaN   \n",
       "3                 2.0       NaN       2.0       2.0       4.0       NaN   \n",
       "4                 1.0       1.0       1.0       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  82538809  82539477  82540894  82547399  82559544  82561709  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 2.0       NaN       NaN       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  82577816  82581973  82584130  82584293  82585308  82596628  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       1.0       2.0       1.0       NaN   \n",
       "1                 2.0       1.0       1.0       NaN       2.0       NaN   \n",
       "2                 3.0       1.0       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       3.0       1.0       NaN   \n",
       "4                 NaN       NaN       NaN       1.0       6.0       NaN   \n",
       "\n",
       "customer_id  82606755  82609845  82615859  82632277  82637921  82650025  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       4.0       3.0   \n",
       "2                 NaN       NaN       NaN       1.0       2.0       2.0   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  82650535  82656164  82665096  82669739  82670667  82683344  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       4.0       NaN       2.0       6.0       NaN   \n",
       "1                 2.0       3.0       NaN       2.0       4.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "3                 NaN       1.0       NaN       2.0       4.0       NaN   \n",
       "4                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  82683388  82683681  82702959  82705270  82716193  82716985  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "2                 NaN       2.0       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       5.0       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  82720641  82724299  82729307  82730490  82741083  82744791  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       1.0       NaN       1.0       1.0   \n",
       "1                 1.0       4.0       3.0       NaN       NaN       NaN   \n",
       "2                 NaN       2.0       2.0       NaN       NaN       NaN   \n",
       "3                 4.0       2.0       1.0       NaN       NaN       1.0   \n",
       "4                 NaN       1.0       3.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  82757763  82758098  82759519  82760821  82763536  82763573  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       1.0       NaN       1.0   \n",
       "1                 NaN       5.0       1.0       1.0       NaN       1.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "3                 1.0       NaN       2.0       NaN       1.0       NaN   \n",
       "4                 9.0       NaN       NaN       NaN       NaN       4.0   \n",
       "\n",
       "customer_id  82772349  82776368  82777756  82777964  82778889  82794833  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       1.0       NaN       1.0       2.0       NaN   \n",
       "1                 9.0       NaN       NaN       2.0       NaN       NaN   \n",
       "2                 3.0       NaN       NaN       NaN       1.0       NaN   \n",
       "3                 7.0       2.0       2.0       1.0       NaN       NaN   \n",
       "4                 2.0       NaN       NaN       3.0       1.0       NaN   \n",
       "\n",
       "customer_id  82797588  82798642  82806948  82810713  82817122  82819627  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       3.0       NaN       NaN      10.0   \n",
       "1                 NaN       NaN       NaN       NaN       4.0       NaN   \n",
       "2                 NaN       1.0       NaN       1.0       4.0       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       4.0       4.0   \n",
       "4                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "\n",
       "customer_id  82824610  82825677  82826768  82836263  82839957  82840746  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 2.0       1.0       NaN       NaN       NaN       NaN   \n",
       "2                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 3.0       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  82848030  82850833  82854894  82873839  82876786  82881815  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       2.0       3.0       NaN       NaN       3.0   \n",
       "1                 NaN       NaN       1.0       NaN       NaN       4.0   \n",
       "2                 NaN       3.0       3.0       NaN       NaN       6.0   \n",
       "3                 NaN       2.0       4.0       NaN       NaN       8.0   \n",
       "4                 NaN       2.0       4.0       NaN       NaN       3.0   \n",
       "\n",
       "customer_id  82889584  82890368  82893062  82903963  82904098  82904633  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       1.0       NaN       NaN       1.0   \n",
       "2                 1.0       1.0       2.0       NaN       NaN       NaN   \n",
       "3                 2.0       NaN       2.0       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  82906365  82926300  82928410  82933740  82934797  82950081  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       4.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  82955373  82956992  82968409  82970785  82974932  82978948  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "1                 2.0       3.0       NaN       NaN       NaN       NaN   \n",
       "2                 2.0       2.0       1.0       NaN       NaN       1.0   \n",
       "3                 NaN       4.0       NaN       NaN       NaN       6.0   \n",
       "4                 NaN       4.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  82997781  83000664  83005415  83010794  83014080  83017118  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "1                 2.0       3.0       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "3                 1.0       NaN       1.0       NaN       NaN       NaN   \n",
       "4                 NaN       2.0       3.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  83018259  83036519  83038642  83040169  83046515  83048651  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       NaN       NaN       1.0       2.0   \n",
       "1                 5.0       5.0       NaN       NaN       NaN       2.0   \n",
       "2                 2.0       2.0       NaN       NaN       NaN       3.0   \n",
       "3                 3.0       1.0       NaN       NaN       1.0       4.0   \n",
       "4                 2.0       1.0       NaN       NaN       1.0       3.0   \n",
       "\n",
       "customer_id  83058739  83063340  83072268  83073247  83073886  83074025  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       2.0       1.0       NaN       3.0       1.0   \n",
       "1                 1.0       3.0       NaN       NaN       3.0       NaN   \n",
       "2                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "4                 1.0       NaN       1.0       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  83086202  83098697  83108440  83108759  83159171  83186361  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       9.0       NaN       1.0       7.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "2                 2.0       NaN       NaN       NaN       7.0       NaN   \n",
       "3                 2.0       4.0       NaN       NaN       1.0       NaN   \n",
       "4                 1.0       7.0       NaN       NaN       3.0       NaN   \n",
       "\n",
       "customer_id  83192420  83193869  83199735  83203206  83207218  83212336  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       1.0       1.0       NaN   \n",
       "2                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       7.0       NaN       NaN   \n",
       "4                 5.0       NaN       NaN       4.0       NaN       NaN   \n",
       "\n",
       "customer_id  83213051  83215423  83216267  83217980  83227940  83228517  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       2.0       NaN       1.0       2.0   \n",
       "1                 NaN       1.0       1.0       NaN       NaN       5.0   \n",
       "2                 NaN       4.0       2.0       NaN       NaN       5.0   \n",
       "3                 NaN       NaN       2.0       NaN       2.0       3.0   \n",
       "4                 NaN       NaN       1.0       NaN       NaN       3.0   \n",
       "\n",
       "customer_id  83231379  83241615  83249956  83256646  83258118  83260097  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       1.0       4.0       NaN   \n",
       "1                 NaN       1.0       NaN       2.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       1.0       1.0   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "4                 NaN       NaN       1.0       3.0       NaN       1.0   \n",
       "\n",
       "customer_id  83261662  83266060  83271538  83273854  83274022  83275391  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       7.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "2                 NaN       1.0       NaN       NaN       NaN       2.0   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  83298429  83310079  83314015  83334930  83340880  83342877  \\\n",
       "num_day                                                                   \n",
       "0                 5.0       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 1.0       NaN       NaN       NaN       1.0       NaN   \n",
       "3                 1.0       NaN       NaN       3.0       NaN       1.0   \n",
       "4                 1.0       NaN       NaN       6.0       NaN       2.0   \n",
       "\n",
       "customer_id  83345157  83349181  83370979  83378138  83391046  83399464  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       2.0       NaN       NaN       2.0   \n",
       "1                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       4.0       2.0       NaN       NaN   \n",
       "3                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  83400171  83405070  83418405  83423425  83427342  83428147  \\\n",
       "num_day                                                                   \n",
       "0                 4.0       NaN       2.0       3.0       3.0       NaN   \n",
       "1                 6.0       NaN       1.0       1.0       NaN       NaN   \n",
       "2                 NaN       NaN       1.0       1.0       2.0       1.0   \n",
       "3                 1.0       NaN       NaN       1.0       NaN       NaN   \n",
       "4                 1.0       NaN       6.0       1.0       2.0       NaN   \n",
       "\n",
       "customer_id  83434674  83436874  83441417  83454098  83467032  83471467  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       4.0       2.0       2.0   \n",
       "1                 NaN       1.0       1.0       2.0       3.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       1.0       NaN       1.0   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  83489279  83490400  83494724  83510129  83513635  83517007  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       3.0       NaN       NaN       NaN       4.0   \n",
       "1                 NaN       NaN       2.0       NaN       NaN       3.0   \n",
       "2                 NaN       NaN       NaN       NaN       2.0       4.0   \n",
       "3                 NaN       1.0       4.0       NaN       NaN       NaN   \n",
       "4                 NaN       1.0       4.0       NaN       1.0       6.0   \n",
       "\n",
       "customer_id  83519788  83542242  83542934  83561383  83566651  83571433  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "4                 NaN       NaN       2.0       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  83571788  83576484  83577667  83604696  83605292  83606802  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       2.0       1.0       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "4                 1.0       NaN       1.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  83621174  83627582  83629946  83639253  83651372  83655199  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       3.0       3.0       NaN       9.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       1.0       2.0       4.0       NaN       NaN   \n",
       "3                 1.0       5.0       NaN       4.0       NaN       7.0   \n",
       "4                 2.0       4.0       1.0       2.0       NaN       8.0   \n",
       "\n",
       "customer_id  83669219  83679880  83685209  83688369  83704249  83706252  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       NaN       3.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       3.0       5.0   \n",
       "2                 NaN       NaN       NaN       NaN       1.0       1.0   \n",
       "3                 3.0       NaN       NaN       NaN       NaN       2.0   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       6.0   \n",
       "\n",
       "customer_id  83715039  83720437  83722421  83724633  83729700  83733978  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       4.0       NaN       NaN       NaN       2.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  83734156  83739553  83759123  83762897  83770587  83793452  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       3.0       2.0       3.0       2.0       NaN   \n",
       "1                 1.0       3.0       5.0       5.0       NaN       NaN   \n",
       "2                 1.0       NaN       1.0       NaN       NaN       NaN   \n",
       "3                 1.0       2.0       4.0       NaN       NaN       NaN   \n",
       "4                 NaN       3.0       3.0       4.0       NaN       1.0   \n",
       "\n",
       "customer_id  83805343  83810118  83827093  83831763  83835663  83835729  \\\n",
       "num_day                                                                   \n",
       "0                 6.0       2.0       NaN       NaN       NaN       4.0   \n",
       "1                 2.0       3.0       NaN       NaN       NaN       1.0   \n",
       "2                 NaN       NaN       NaN       4.0       NaN       1.0   \n",
       "3                 3.0       4.0       NaN       NaN       NaN       2.0   \n",
       "4                 1.0       2.0       NaN       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  83839911  83846827  83851361  83866773  83869978  83873329  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       3.0       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       4.0       NaN       NaN   \n",
       "4                 NaN       NaN       2.0       3.0       1.0       NaN   \n",
       "\n",
       "customer_id  83873734  83882689  83886289  83902689  83907805  83915586  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       2.0       NaN       5.0   \n",
       "1                 NaN       NaN       1.0       2.0       NaN       7.0   \n",
       "2                 NaN       NaN       NaN       5.0       NaN       6.0   \n",
       "3                 NaN       NaN       NaN       2.0       NaN       5.0   \n",
       "4                 NaN       NaN       NaN       2.0       NaN       2.0   \n",
       "\n",
       "customer_id  83915896  83920506  83922170  83939025  83941637  83943760  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       NaN       3.0       4.0   \n",
       "1                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "2                 NaN       2.0       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       3.0       NaN   \n",
       "\n",
       "customer_id  83960862  83973752  83986464  83996849  84007462  84023495  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "1                 NaN       NaN       2.0      11.0       NaN       NaN   \n",
       "2                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       2.0       3.0       1.0       NaN   \n",
       "4                 NaN       NaN       NaN       9.0       NaN       NaN   \n",
       "\n",
       "customer_id  84027814  84044926  84055591  84067450  84068355  84075783  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       4.0       NaN       2.0       1.0       NaN   \n",
       "1                 NaN       2.0       2.0       NaN       NaN       1.0   \n",
       "2                 NaN       4.0       3.0       NaN       NaN       NaN   \n",
       "3                 NaN       2.0       NaN       5.0       1.0       NaN   \n",
       "4                 4.0       4.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  84077404  84080831  84086174  84100380  84103169  84105822  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       5.0       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       3.0       NaN       NaN       NaN   \n",
       "3                 2.0       NaN       1.0       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  84117437  84130274  84132078  84144771  84148408  84153999  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       2.0       NaN       NaN       NaN       2.0   \n",
       "2                 NaN       NaN       NaN       4.0       NaN       NaN   \n",
       "3                 NaN       2.0       NaN       NaN       NaN       1.0   \n",
       "4                 1.0       1.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  84155118  84155622  84162328  84170310  84179112  84184580  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       NaN       1.0       NaN   \n",
       "1                 NaN       NaN       1.0       1.0       NaN       NaN   \n",
       "2                 NaN       3.0       NaN       2.0       1.0       NaN   \n",
       "3                 NaN       NaN       1.0       1.0       NaN       NaN   \n",
       "4                 NaN       3.0       3.0       1.0       NaN       1.0   \n",
       "\n",
       "customer_id  84194040  84199917  84203039  84203354  84213038  84219086  \\\n",
       "num_day                                                                   \n",
       "0                 4.0       4.0       NaN       4.0       NaN       NaN   \n",
       "1                 1.0       NaN       NaN       2.0       NaN       NaN   \n",
       "2                 2.0       NaN       NaN       NaN       1.0       NaN   \n",
       "3                 1.0       1.0       NaN       2.0       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "\n",
       "customer_id  84219131  84226815  84233768  84235447  84238892  84245041  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  84258441  84259499  84266858  84277284  84282939  84296161  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "1                 NaN       NaN       4.0       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       7.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  84300454  84304115  84305124  84307346  84314817  84323633  \\\n",
       "num_day                                                                   \n",
       "0                 5.0       1.0       NaN       1.0       1.0       NaN   \n",
       "1                 1.0       NaN       NaN       NaN       NaN       2.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       5.0       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       3.0   \n",
       "\n",
       "customer_id  84327544  84328244  84340954  84345871  84349819  84351524  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       7.0       1.0       3.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "2                 NaN       NaN       1.0       NaN       1.0       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       1.0       3.0   \n",
       "\n",
       "customer_id  84355057  84365979  84378201  84380814  84382825  84389511  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  84391984  84399280  84403363  84422977  84425967  84430668  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "1                 NaN       1.0       NaN       1.0       NaN       NaN   \n",
       "2                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       1.0       NaN       NaN       5.0       NaN   \n",
       "4                 NaN       1.0       NaN       NaN       5.0       NaN   \n",
       "\n",
       "customer_id  84435817  84457808  84468025  84477305  84486951  84499561  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       2.0       NaN       NaN       4.0   \n",
       "1                 NaN       1.0       1.0       2.0       NaN       NaN   \n",
       "2                 1.0       1.0       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       1.0       NaN       1.0       NaN       2.0   \n",
       "4                 1.0       1.0       NaN       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  84499692  84500326  84502173  84515014  84522298  84524540  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       1.0       2.0   \n",
       "1                 NaN       NaN       1.0       NaN       NaN       5.0   \n",
       "2                 NaN       NaN       1.0       NaN       NaN       2.0   \n",
       "3                 1.0       NaN       NaN       NaN       1.0       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       6.0       2.0   \n",
       "\n",
       "customer_id  84534351  84536809  84540241  84542981  84561375  84564690  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       2.0       1.0       1.0       1.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "2                 NaN       1.0       NaN       1.0       2.0       NaN   \n",
       "3                 NaN       NaN       NaN       5.0       1.0       7.0   \n",
       "4                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "\n",
       "customer_id  84565455  84576038  84576470  84580153  84580352  84580615  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       4.0       NaN       1.0       NaN       NaN   \n",
       "1                 3.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 4.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                11.0       2.0       NaN       1.0       NaN       NaN   \n",
       "4                 6.0       7.0       NaN       3.0       NaN       NaN   \n",
       "\n",
       "customer_id  84581843  84588633  84591427  84592673  84605762  84608176  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       NaN       1.0       1.0   \n",
       "1                 NaN       3.0       NaN       NaN       2.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       1.0       3.0   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       1.0       4.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  84608194  84639734  84656973  84667527  84671984  84674282  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       1.0       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  84678121  84682613  84688545  84689647  84691218  84696412  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       1.0       NaN       2.0       4.0       NaN   \n",
       "1                 6.0       1.0       2.0       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "3                 2.0       2.0       1.0       NaN       NaN       NaN   \n",
       "4                 NaN       1.0       NaN       2.0       1.0       NaN   \n",
       "\n",
       "customer_id  84710659  84712006  84714077  84720563  84734182  84734394  \\\n",
       "num_day                                                                   \n",
       "0                 NaN      25.0       2.0       NaN       NaN       NaN   \n",
       "1                 NaN       8.0       1.0       NaN       NaN       NaN   \n",
       "2                 NaN       2.0       NaN       NaN       NaN       3.0   \n",
       "3                 NaN       9.0       2.0       1.0       NaN       NaN   \n",
       "4                 NaN       2.0       1.0       4.0       NaN       NaN   \n",
       "\n",
       "customer_id  84734887  84744766  84765219  84767947  84772069  84786346  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       7.0   \n",
       "2                 NaN       1.0       NaN       NaN       NaN       3.0   \n",
       "3                 1.0       NaN       NaN       NaN       1.0       2.0   \n",
       "4                 NaN       3.0       NaN       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  84791354  84795885  84801428  84803089  84807183  84811427  \\\n",
       "num_day                                                                   \n",
       "0                 4.0       2.0       NaN       NaN       NaN       NaN   \n",
       "1                 1.0       1.0       NaN       2.0       NaN       NaN   \n",
       "2                 2.0       2.0       NaN       NaN       3.0       NaN   \n",
       "3                 4.0       1.0       NaN       1.0       NaN       NaN   \n",
       "4                 1.0       3.0       NaN       4.0       NaN       NaN   \n",
       "\n",
       "customer_id  84816141  84816985  84826852  84830384  84841544  84846919  \\\n",
       "num_day                                                                   \n",
       "0                 3.0       2.0       NaN       NaN       NaN       7.0   \n",
       "1                 NaN       NaN       NaN       NaN       3.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       1.0       6.0   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "4                 1.0       NaN       NaN       NaN       NaN       2.0   \n",
       "\n",
       "customer_id  84848102  84860898  84868136  84868903  84876373  84877317  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       1.0       7.0   \n",
       "1                 NaN       NaN       NaN       NaN       1.0       5.0   \n",
       "2                 NaN       NaN       NaN       1.0       1.0       NaN   \n",
       "3                 NaN       NaN       NaN       1.0       1.0       2.0   \n",
       "4                 NaN       NaN       NaN       NaN       1.0       1.0   \n",
       "\n",
       "customer_id  84883063  84899516  84905539  84906776  84930140  84940280  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       5.0       3.0       NaN       NaN       NaN   \n",
       "1                 1.0       6.0       NaN       NaN       NaN       1.0   \n",
       "2                 NaN       NaN       NaN       4.0       NaN      12.0   \n",
       "3                 3.0       1.0       NaN       NaN       NaN       2.0   \n",
       "4                 2.0       2.0       1.0       NaN       4.0       NaN   \n",
       "\n",
       "customer_id  84947745  84948604  84954119  84954803  84956768  84958317  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       1.0       NaN       2.0       NaN       NaN   \n",
       "1                 1.0       2.0       NaN       5.0       NaN       NaN   \n",
       "2                 NaN       4.0       NaN       5.0       NaN       NaN   \n",
       "3                 3.0       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 1.0       3.0       NaN       3.0       NaN       NaN   \n",
       "\n",
       "customer_id  84973550  84979902  84980957  84981788  84989291  84998727  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "1                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       1.0       2.0       1.0   \n",
       "\n",
       "customer_id  84999717  85002173  85015901  85026441  85028283  85029718  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       2.0       1.0       1.0       NaN   \n",
       "1                 NaN       1.0      11.0       1.0       NaN       NaN   \n",
       "2                 2.0       5.0       5.0       NaN       NaN       NaN   \n",
       "3                 NaN       1.0       NaN       1.0       NaN       NaN   \n",
       "4                 NaN       NaN       2.0       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  85032270  85035842  85036381  85050173  85056040  85068765  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       NaN       3.0       1.0   \n",
       "1                 4.0       NaN       NaN       NaN       4.0       NaN   \n",
       "2                 1.0       NaN       2.0       NaN       NaN       1.0   \n",
       "3                 3.0       1.0       1.0       NaN       3.0       1.0   \n",
       "4                 4.0       1.0       2.0       NaN       1.0       7.0   \n",
       "\n",
       "customer_id  85070032  85086733  85092930  85102588  85108219  85121096  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       2.0       NaN       2.0       NaN   \n",
       "1                 2.0       1.0       3.0       NaN       2.0       1.0   \n",
       "2                 1.0       NaN       1.0       NaN       1.0       NaN   \n",
       "3                 1.0       4.0       NaN       NaN       3.0       NaN   \n",
       "4                 4.0       NaN       1.0       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  85148152  85148948  85159859  85169712  85179388  85182401  \\\n",
       "num_day                                                                   \n",
       "0                 3.0       NaN       NaN       2.0       1.0       NaN   \n",
       "1                 2.0       NaN       1.0       1.0       NaN       NaN   \n",
       "2                 4.0       NaN       NaN       4.0       1.0       NaN   \n",
       "3                 6.0       NaN       NaN       NaN       6.0       NaN   \n",
       "4                 1.0       NaN       NaN       NaN       3.0       NaN   \n",
       "\n",
       "customer_id  85185644  85186488  85187502  85187996  85194196  85195014  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "1                 3.0       NaN       NaN       1.0       NaN       2.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 1.0       NaN       1.0       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  85198450  85202027  85212498  85219732  85220654  85267206  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       2.0       NaN       NaN       NaN       5.0   \n",
       "1                 NaN       1.0       NaN       NaN       NaN       6.0   \n",
       "2                 2.0       NaN       NaN       NaN       NaN       3.0   \n",
       "3                 NaN       1.0       NaN       2.0       NaN       3.0   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       4.0   \n",
       "\n",
       "customer_id  85268880  85273426  85283488  85284514  85284751  85285100  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "2                 NaN       NaN       NaN       NaN       1.0       3.0   \n",
       "3                 NaN       2.0       NaN       NaN       NaN       1.0   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  85302434  85304095  85310807  85320913  85331558  85336948  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       1.0       NaN       NaN       1.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 1.0       1.0       NaN       NaN       1.0       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       1.0       2.0   \n",
       "4                 NaN       2.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  85342830  85352744  85356295  85356418  85358613  85365990  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       4.0       6.0       NaN       NaN       NaN   \n",
       "2                 NaN       3.0       1.0       NaN       NaN       NaN   \n",
       "3                 NaN       2.0       4.0       NaN       NaN       NaN   \n",
       "4                 NaN       4.0       8.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  85372378  85373071  85384756  85394542  85408670  85421813  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       4.0       NaN       NaN       7.0       NaN   \n",
       "1                 NaN       NaN       NaN       1.0       2.0       NaN   \n",
       "2                 NaN       NaN       NaN       1.0       3.0       1.0   \n",
       "3                 NaN       NaN       NaN       2.0       NaN       1.0   \n",
       "4                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "\n",
       "customer_id  85435853  85456043  85459902  85463132  85464738  85490501  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  85493138  85494277  85494965  85496219  85500243  85508463  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       4.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "3                 NaN       NaN       1.0       NaN       4.0       8.0   \n",
       "4                 1.0       NaN       2.0       NaN       NaN       6.0   \n",
       "\n",
       "customer_id  85518423  85538763  85553162  85564481  85564743  85572010  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "2                 2.0       4.0       NaN       1.0       NaN       1.0   \n",
       "3                 NaN       2.0       NaN       1.0       NaN       1.0   \n",
       "4                 1.0       NaN       NaN       3.0       1.0       4.0   \n",
       "\n",
       "customer_id  85573884  85577080  85577609  85591112  85592941  85593106  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "1                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 1.0       NaN       NaN       NaN       NaN       1.0   \n",
       "4                 NaN       1.0       2.0       3.0       NaN       NaN   \n",
       "\n",
       "customer_id  85600496  85600959  85614078  85626879  85635610  85648406  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       2.0       2.0       1.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       1.0       NaN       1.0   \n",
       "2                 NaN       NaN       4.0       NaN       NaN       NaN   \n",
       "3                 2.0       3.0       1.0       1.0       3.0       NaN   \n",
       "4                 1.0       NaN       3.0       1.0       2.0       1.0   \n",
       "\n",
       "customer_id  85654049  85659849  85660140  85664430  85672181  85678569  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "1                 4.0       1.0       3.0       NaN       1.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "3                 1.0       NaN       1.0       NaN       NaN       1.0   \n",
       "4                 NaN       NaN       2.0       NaN       1.0       1.0   \n",
       "\n",
       "customer_id  85681838  85686490  85692112  85695839  85699963  85702844  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       2.0       4.0       NaN       1.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "2                 NaN       NaN       NaN       1.0       1.0       3.0   \n",
       "3                 NaN       NaN       NaN       4.0       2.0       2.0   \n",
       "4                 NaN       NaN       NaN       NaN       1.0       1.0   \n",
       "\n",
       "customer_id  85733088  85738855  85739449  85745529  85761358  85765195  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       NaN       2.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "2                 NaN       1.0       NaN       NaN       1.0       NaN   \n",
       "3                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 4.0       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  85772891  85781818  85783069  85783576  85788214  85791877  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "3                 NaN       2.0       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       2.0       2.0       1.0       NaN       1.0   \n",
       "\n",
       "customer_id  85793831  85796585  85799976  85805978  85813585  85815529  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       1.0       NaN       5.0       NaN   \n",
       "2                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "3                 2.0       NaN       NaN       NaN       NaN       4.0   \n",
       "4                 NaN       NaN       5.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  85817775  85819996  85821996  85834562  85840059  85841930  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       2.0       5.0       6.0   \n",
       "1                 NaN       NaN       1.0       NaN       NaN       2.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "3                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       2.0       NaN       3.0   \n",
       "\n",
       "customer_id  85847787  85853498  85854450  85855131  85855790  85861930  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       3.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       3.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       3.0   \n",
       "3                 NaN       1.0       NaN       NaN       NaN       3.0   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  85862087  85862843  85870868  85877914  85884054  85886762  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       2.0       NaN       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  85890860  85892139  85894840  85896879  85902713  85907961  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       1.0       2.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "2                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "3                 3.0       1.0       NaN       NaN       NaN       1.0   \n",
       "4                 NaN       NaN       2.0       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  85914875  85917235  85922560  85923483  85929877  85931862  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "1                 NaN       NaN       3.0       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "3                 1.0       NaN       3.0       1.0       NaN       NaN   \n",
       "4                 NaN       NaN       3.0       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  85938961  85939459  85940494  85948378  85952372  85952401  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       NaN       6.0       NaN   \n",
       "1                 NaN       NaN       NaN       1.0       1.0       NaN   \n",
       "2                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       3.0       NaN       NaN   \n",
       "\n",
       "customer_id  85967320  85971877  85985640  86000591  86004635  86007707  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       2.0       NaN       NaN       NaN   \n",
       "1                 1.0       NaN       NaN       NaN       1.0       NaN   \n",
       "2                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "3                 1.0       NaN       3.0       NaN       NaN       NaN   \n",
       "4                 2.0       NaN       2.0       NaN       3.0       NaN   \n",
       "\n",
       "customer_id  86009970  86015389  86017864  86022407  86029773  86034869  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "1                 NaN       3.0       NaN       NaN       NaN       2.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       1.0       3.0       1.0   \n",
       "4                 NaN       NaN       NaN       1.0       NaN       1.0   \n",
       "\n",
       "customer_id  86037173  86044364  86049699  86049742  86053103  86053380  \\\n",
       "num_day                                                                   \n",
       "0                 3.0       NaN       NaN       NaN       NaN       1.0   \n",
       "1                 5.0       NaN       NaN       NaN       NaN       4.0   \n",
       "2                 1.0       3.0       NaN       NaN       1.0       5.0   \n",
       "3                 6.0       NaN       NaN       NaN       1.0       3.0   \n",
       "4                 7.0       NaN       1.0       NaN       1.0       1.0   \n",
       "\n",
       "customer_id  86068326  86069414  86075363  86086483  86094030  86098000  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       3.0       NaN       1.0       NaN       NaN   \n",
       "1                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       2.0       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       2.0       NaN       NaN       3.0       NaN   \n",
       "4                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  86107871  86108730  86117626  86124516  86126078  86127425  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       3.0       3.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  86147502  86153858  86158591  86167681  86169927  86176665  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       2.0       NaN       NaN       2.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       4.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "3                 1.0       1.0       NaN       NaN       NaN       3.0   \n",
       "4                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  86196205  86199849  86200774  86200878  86206724  86227295  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       4.0       NaN       NaN   \n",
       "1                 NaN       NaN       1.0       2.0       2.0       NaN   \n",
       "2                 NaN       NaN       1.0       4.0       NaN       NaN   \n",
       "3                 NaN       NaN       1.0       5.0       NaN       NaN   \n",
       "4                 NaN       NaN       2.0       7.0       NaN       NaN   \n",
       "\n",
       "customer_id  86227647  86236552  86236687  86240133  86244234  86247579  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "1                 NaN       NaN       1.0       NaN       NaN       3.0   \n",
       "2                 1.0       NaN       NaN       NaN       NaN       3.0   \n",
       "3                 1.0       1.0       NaN       1.0       NaN       2.0   \n",
       "4                 5.0       1.0       NaN       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  86259433  86265315  86266095  86274674  86285564  86287779  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       2.0       NaN       NaN       1.0       NaN   \n",
       "1                 NaN       NaN       NaN       1.0       1.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       2.0       1.0       NaN   \n",
       "4                 2.0       NaN       NaN       4.0       NaN       NaN   \n",
       "\n",
       "customer_id  86297262  86298795  86304957  86305054  86318641  86318735  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       2.0       NaN       NaN       NaN       2.0   \n",
       "1                 1.0       NaN       NaN       1.0       NaN       NaN   \n",
       "2                 NaN       3.0       NaN       1.0       NaN       1.0   \n",
       "3                 NaN       NaN       NaN       1.0       1.0       1.0   \n",
       "4                 NaN       NaN       NaN       1.0       NaN       1.0   \n",
       "\n",
       "customer_id  86327634  86334201  86337937  86344405  86349761  86351601  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN      13.0       NaN       NaN       NaN   \n",
       "1                 NaN       NaN      16.0       NaN       NaN       NaN   \n",
       "2                 1.0       NaN      52.0       NaN       NaN       NaN   \n",
       "3                 NaN       1.0      12.0       NaN       NaN       NaN   \n",
       "4                 NaN       1.0       4.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  86356385  86358339  86359371  86360614  86369588  86370215  \\\n",
       "num_day                                                                   \n",
       "0                 5.0       NaN       2.0       NaN       1.0       NaN   \n",
       "1                 NaN       2.0       1.0       NaN       NaN       NaN   \n",
       "2                 3.0       1.0       NaN       NaN       1.0       NaN   \n",
       "3                 NaN       3.0       1.0       NaN       2.0       NaN   \n",
       "4                 NaN       5.0       1.0       1.0       1.0       NaN   \n",
       "\n",
       "customer_id  86371933  86377597  86377946  86384004  86387909  86397318  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       2.0       1.0       NaN       NaN       NaN   \n",
       "1                 NaN       2.0       NaN       NaN       2.0      11.0   \n",
       "2                 NaN       2.0       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       2.0       1.0       NaN       1.0       1.0   \n",
       "4                 2.0       2.0       1.0       1.0       NaN       3.0   \n",
       "\n",
       "customer_id  86403324  86405342  86415099  86416983  86419792  86444262  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       5.0       2.0       NaN       NaN       1.0   \n",
       "1                 NaN       NaN       1.0       NaN       NaN       2.0   \n",
       "2                 NaN       NaN       NaN       NaN       1.0       4.0   \n",
       "3                 NaN       NaN       4.0       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "\n",
       "customer_id  86446782  86452253  86452879  86467196  86475916  86499264  \\\n",
       "num_day                                                                   \n",
       "0                 3.0       NaN       4.0       4.0       3.0       NaN   \n",
       "1                 2.0       NaN       2.0       2.0       NaN       2.0   \n",
       "2                 NaN       NaN       4.0       1.0       2.0       1.0   \n",
       "3                 2.0       4.0       5.0       1.0       NaN       5.0   \n",
       "4                 NaN       2.0       NaN       2.0       1.0       1.0   \n",
       "\n",
       "customer_id  86499817  86503569  86504325  86504832  86509530  86537932  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       1.0       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "4                 NaN       2.0       NaN       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  86538345  86543582  86544211  86550087  86551409  86556905  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       7.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  86569593  86573039  86574143  86574718  86577350  86585517  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       4.0       NaN       3.0       NaN   \n",
       "2                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "\n",
       "customer_id  86598882  86605121  86605233  86616986  86629509  86630396  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       1.0       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       1.0       NaN       NaN       1.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "3                 NaN       3.0       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       2.0       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  86638945  86639682  86641978  86645216  86650713  86650997  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       1.0       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "4                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  86660128  86665789  86670135  86671427  86680398  86682224  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       1.0       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       1.0       NaN       NaN       NaN       1.0   \n",
       "2                 NaN       1.0       NaN       NaN       NaN       1.0   \n",
       "3                 NaN       1.0       NaN       NaN       1.0       NaN   \n",
       "4                 NaN       1.0       NaN       NaN       1.0       1.0   \n",
       "\n",
       "customer_id  86688057  86689546  86690867  86695282  86714506  86719987  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       3.0       NaN       1.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "2                 NaN       NaN       1.0       3.0       NaN       NaN   \n",
       "3                 NaN       1.0       1.0       NaN       2.0       NaN   \n",
       "4                 NaN       NaN       1.0       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  86722270  86727725  86731830  86738648  86740634  86748328  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       1.0       1.0       NaN   \n",
       "1                 NaN       NaN       1.0       3.0       5.0       3.0   \n",
       "2                 NaN       NaN       1.0       1.0       NaN       NaN   \n",
       "3                 NaN       2.0       NaN       1.0       NaN       4.0   \n",
       "4                 NaN       NaN       1.0       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  86749148  86750398  86754120  86755562  86755845  86759507  \\\n",
       "num_day                                                                   \n",
       "0                 3.0       NaN       5.0       4.0       2.0       NaN   \n",
       "1                 1.0       NaN       3.0       4.0       1.0       NaN   \n",
       "2                 NaN       NaN       2.0       3.0       NaN       NaN   \n",
       "3                 3.0       NaN       NaN       1.0       NaN       NaN   \n",
       "4                 1.0       NaN       3.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  86760951  86770066  86777770  86796306  86799229  86805818  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       2.0       1.0       1.0   \n",
       "1                 NaN       NaN       1.0       1.0       NaN       NaN   \n",
       "2                 NaN       NaN       1.0       1.0       NaN       NaN   \n",
       "3                 NaN       NaN       2.0       1.0       2.0       NaN   \n",
       "4                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  86806590  86819230  86827826  86829717  86829925  86841018  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       5.0       1.0       NaN   \n",
       "1                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       2.0       1.0   \n",
       "3                 1.0       NaN       NaN       2.0       1.0       NaN   \n",
       "4                 NaN       NaN       NaN       2.0       1.0       NaN   \n",
       "\n",
       "customer_id  86841915  86844071  86845985  86850650  86865629  86889622  \\\n",
       "num_day                                                                   \n",
       "0                 3.0       3.0       NaN       2.0       1.0       2.0   \n",
       "1                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "2                 NaN       4.0       NaN       NaN       1.0       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       3.0   \n",
       "4                 NaN       NaN       NaN       1.0       3.0       NaN   \n",
       "\n",
       "customer_id  86892524  86893722  86896046  86899061  86908329  86914451  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       1.0       NaN       NaN       NaN       NaN   \n",
       "1                 7.0       1.0       NaN       NaN       NaN       NaN   \n",
       "2                 5.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 5.0       2.0       NaN       NaN       NaN       NaN   \n",
       "4                 2.0       1.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  86924089  86936217  86941639  86950233  86957027  86961621  \\\n",
       "num_day                                                                   \n",
       "0                 4.0       NaN       1.0       1.0       NaN       NaN   \n",
       "1                 NaN       3.0       NaN       1.0       NaN       NaN   \n",
       "2                 NaN       3.0       1.0       NaN       NaN       NaN   \n",
       "3                 NaN       2.0       2.0       NaN       NaN       NaN   \n",
       "4                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  86968171  86977246  86985779  86987521  86988270  86992060  \\\n",
       "num_day                                                                   \n",
       "0                 4.0       1.0       4.0       NaN       NaN       1.0   \n",
       "1                 3.0       1.0       7.0       NaN       NaN       1.0   \n",
       "2                 3.0       2.0       NaN       NaN       NaN       2.0   \n",
       "3                 NaN       1.0       2.0       NaN       NaN       NaN   \n",
       "4                 3.0       NaN       1.0       NaN       NaN       2.0   \n",
       "\n",
       "customer_id  86997978  87001997  87003793  87025871  87029440  87031529  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       1.0       1.0       NaN   \n",
       "1                 NaN       NaN       1.0       1.0       3.0       9.0   \n",
       "2                 1.0       1.0       5.0       NaN       1.0       1.0   \n",
       "3                 NaN       NaN       2.0       NaN       3.0       7.0   \n",
       "4                 4.0       NaN       NaN       1.0       3.0       8.0   \n",
       "\n",
       "customer_id  87040745  87042376  87047604  87069325  87071173  87072731  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       3.0       NaN       NaN   \n",
       "1                 7.0       3.0       NaN       3.0       NaN       NaN   \n",
       "2                 NaN       2.0       NaN       NaN       NaN       NaN   \n",
       "3                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 2.0       NaN       NaN       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  87076344  87084168  87094958  87096350  87098793  87103619  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 2.0       NaN       1.0       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  87108538  87108711  87110807  87111015  87111044  87113643  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       4.0       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       3.0       NaN   \n",
       "\n",
       "customer_id  87117060  87125342  87135380  87136107  87136979  87167659  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       NaN       1.0       NaN   \n",
       "1                 1.0       1.0       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       1.0       1.0       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "\n",
       "customer_id  87171310  87179099  87187640  87193386  87201361  87209446  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       1.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       2.0       NaN       1.0       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       6.0       NaN       NaN   \n",
       "\n",
       "customer_id  87220200  87222013  87226453  87229439  87231936  87252636  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       3.0       4.0       NaN       4.0   \n",
       "1                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       1.0       NaN       2.0   \n",
       "3                 1.0       NaN       1.0       NaN       NaN       4.0   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       3.0   \n",
       "\n",
       "customer_id  87259796  87264960  87269377  87271576  87273960  87299704  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       NaN       3.0       NaN       3.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       7.0   \n",
       "3                 1.0       NaN       NaN      12.0       1.0       2.0   \n",
       "4                 NaN       NaN       NaN       7.0       1.0       NaN   \n",
       "\n",
       "customer_id  87301914  87317286  87325972  87328907  87372275  87373794  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       2.0       NaN       NaN       NaN       2.0   \n",
       "2                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "3                 1.0       2.0       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  87381748  87385529  87391363  87400553  87407039  87410536  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "4                 1.0       NaN       NaN       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  87424789  87434552  87450579  87450603  87451106  87455713  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       1.0       1.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 2.0       NaN       NaN       NaN       3.0       NaN   \n",
       "3                 2.0       NaN       NaN       NaN       3.0       NaN   \n",
       "4                 NaN       NaN       NaN       5.0       2.0       NaN   \n",
       "\n",
       "customer_id  87459636  87460303  87469673  87474247  87481444  87491758  \\\n",
       "num_day                                                                   \n",
       "0                 3.0       NaN       4.0       NaN       NaN       NaN   \n",
       "1                 3.0       NaN       5.0       NaN       1.0       1.0   \n",
       "2                 1.0       NaN       3.0       NaN       NaN       NaN   \n",
       "3                 1.0       NaN       1.0       1.0       NaN       NaN   \n",
       "4                 3.0       NaN       3.0       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  87502549  87502946  87503598  87507449  87519015  87520315  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       NaN       1.0       3.0   \n",
       "1                 3.0       NaN       NaN       NaN       NaN       1.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "3                 3.0       NaN       NaN       2.0       NaN       2.0   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  87542010  87542711  87550753  87557382  87557584  87558766  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       1.0       NaN       3.0       NaN       NaN   \n",
       "1                 NaN       1.0       NaN       5.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       6.0   \n",
       "4                 3.0       1.0       NaN       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  87567939  87574305  87580670  87592072  87592864  87608341  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       1.0       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       3.0       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 3.0       1.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  87608659  87618406  87620653  87627356  87629740  87640447  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       2.0       NaN       NaN       1.0       2.0   \n",
       "1                 NaN       NaN       2.0       NaN       1.0       2.0   \n",
       "2                 NaN       NaN       NaN       NaN       2.0       3.0   \n",
       "3                 3.0       2.0       NaN       NaN       NaN       2.0   \n",
       "4                 1.0       NaN       NaN       NaN       1.0       2.0   \n",
       "\n",
       "customer_id  87644502  87645685  87647466  87650351  87655247  87663052  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       6.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 2.0       NaN       NaN       NaN       NaN       1.0   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  87667031  87670097  87674501  87679024  87679623  87691321  \\\n",
       "num_day                                                                   \n",
       "0                 4.0       4.0       NaN       NaN       NaN       NaN   \n",
       "1                 9.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 5.0       2.0       NaN       NaN       NaN       2.0   \n",
       "3                 2.0       3.0       NaN       1.0       NaN       1.0   \n",
       "4                 2.0       7.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  87695373  87706762  87712186  87720854  87729038  87732921  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       NaN       NaN       1.0       1.0   \n",
       "1                 3.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 2.0       NaN       NaN       1.0       1.0       NaN   \n",
       "3                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 3.0       NaN       NaN       1.0       1.0       NaN   \n",
       "\n",
       "customer_id  87735379  87743758  87750165  87756517  87761130  87767714  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       3.0       NaN       NaN       1.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       3.0       NaN   \n",
       "2                 2.0       NaN       NaN       NaN       1.0       NaN   \n",
       "3                 NaN       NaN       1.0       NaN       3.0       NaN   \n",
       "4                 NaN       1.0       3.0       1.0       1.0       NaN   \n",
       "\n",
       "customer_id  87780866  87784181  87819773  87820821  87822979  87823426  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       2.0       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  87824239  87826275  87830992  87850297  87851013  87857162  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       2.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "3                 NaN       1.0       NaN       3.0       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "\n",
       "customer_id  87860557  87866237  87891115  87902560  87904457  87913983  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       1.0       1.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "2                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "4                 NaN       1.0       NaN       1.0       1.0       2.0   \n",
       "\n",
       "customer_id  87915272  87921552  87923873  87937371  87945762  87949693  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       NaN       NaN       4.0   \n",
       "1                 NaN       NaN       NaN      14.0       NaN       2.0   \n",
       "2                 NaN       NaN       NaN       2.0       NaN       2.0   \n",
       "3                 NaN       NaN       NaN       1.0       NaN       3.0   \n",
       "4                 NaN       NaN       NaN       3.0       NaN       4.0   \n",
       "\n",
       "customer_id  87953844  87961010  87968850  87970156  87976786  87978378  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       1.0       3.0       5.0       NaN       NaN   \n",
       "1                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "2                 NaN       3.0       1.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       3.0       NaN       1.0       NaN   \n",
       "4                 NaN       NaN       1.0       7.0       NaN       NaN   \n",
       "\n",
       "customer_id  87979996  88006900  88007478  88027952  88038449  88053734  \\\n",
       "num_day                                                                   \n",
       "0                 3.0       1.0       2.0       NaN       1.0       1.0   \n",
       "1                 NaN       NaN       NaN       2.0       4.0       NaN   \n",
       "2                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       3.0       NaN       4.0       1.0   \n",
       "4                 1.0       NaN       2.0       NaN       3.0       2.0   \n",
       "\n",
       "customer_id  88058347  88062408  88062761  88064904  88082678  88088251  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  88098080  88105814  88131351  88139187  88146770  88154104  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       1.0       NaN       5.0       NaN   \n",
       "1                 NaN       1.0       2.0       NaN       3.0       NaN   \n",
       "2                 NaN       NaN       1.0       NaN       2.0       NaN   \n",
       "3                 NaN       1.0       1.0       NaN       6.0       NaN   \n",
       "4                 NaN       NaN       2.0       NaN       2.0       NaN   \n",
       "\n",
       "customer_id  88177630  88183213  88183948  88189065  88199460  88200120  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       NaN       1.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       1.0       NaN       2.0   \n",
       "2                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       7.0   \n",
       "4                 NaN       NaN       NaN       1.0       NaN       2.0   \n",
       "\n",
       "customer_id  88205843  88218615  88221232  88227575  88229777  88232920  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       3.0       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "3                 1.0       NaN       NaN       NaN       1.0       NaN   \n",
       "4                 NaN       NaN       3.0       2.0       1.0       1.0   \n",
       "\n",
       "customer_id  88238142  88242125  88260849  88263718  88269777  88278381  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       2.0       NaN       NaN       NaN       2.0   \n",
       "1                 NaN       4.0       NaN       NaN       NaN       2.0   \n",
       "2                 NaN       2.0       NaN       NaN       NaN       2.0   \n",
       "3                 1.0       NaN       NaN       NaN       NaN       3.0   \n",
       "4                 2.0       4.0       NaN       NaN       NaN       2.0   \n",
       "\n",
       "customer_id  88288737  88294190  88299026  88300913  88308284  88312732  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       1.0       1.0   \n",
       "1                 1.0       NaN       NaN       NaN       NaN       2.0   \n",
       "2                 NaN       NaN       1.0       NaN       2.0       2.0   \n",
       "3                 NaN       NaN       NaN       NaN       5.0       1.0   \n",
       "4                 NaN       NaN       NaN       NaN       2.0       6.0   \n",
       "\n",
       "customer_id  88319131  88319560  88323560  88330641  88331346  88335754  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       2.0       3.0       1.0       2.0       NaN   \n",
       "1                 NaN       NaN       3.0       NaN       2.0       NaN   \n",
       "2                 NaN       NaN       3.0       NaN       1.0       NaN   \n",
       "3                 1.0       NaN       3.0       NaN       2.0       NaN   \n",
       "4                 NaN       5.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  88335984  88337333  88347698  88351231  88355759  88365698  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       NaN       2.0       NaN   \n",
       "1                 NaN       2.0       NaN       NaN       1.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       3.0       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       5.0       NaN       1.0       3.0       1.0   \n",
       "\n",
       "customer_id  88381579  88382859  88400649  88442358  88445977  88449338  \\\n",
       "num_day                                                                   \n",
       "0                 3.0       NaN       1.0       1.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       1.0       3.0       NaN       NaN   \n",
       "4                 1.0       NaN       1.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  88450089  88473880  88478780  88478994  88498735  88503692  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       NaN       1.0       NaN       NaN   \n",
       "1                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  88505830  88515012  88536358  88538376  88546834  88565756  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       1.0       NaN       2.0       NaN   \n",
       "2                 NaN       NaN       1.0       NaN       1.0       NaN   \n",
       "3                 4.0       1.0       NaN       NaN       2.0       NaN   \n",
       "4                 2.0       2.0       1.0       2.0       4.0       NaN   \n",
       "\n",
       "customer_id  88583226  88587695  88588034  88592689  88597570  88600980  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 1.0       1.0       NaN       NaN       NaN       NaN   \n",
       "4                 2.0       1.0       NaN       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  88606839  88608582  88612631  88625443  88649211  88656506  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       NaN       NaN       NaN       3.0   \n",
       "1                 6.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       2.0       2.0       NaN   \n",
       "4                 NaN       2.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  88668155  88679468  88697567  88698231  88699095  88709355  \\\n",
       "num_day                                                                   \n",
       "0                 6.0       NaN       3.0       NaN       9.0       NaN   \n",
       "1                 6.0       NaN       3.0       NaN       2.0       NaN   \n",
       "2                 NaN       NaN       NaN       1.0       4.0       NaN   \n",
       "3                 3.0       NaN       NaN       NaN       4.0       NaN   \n",
       "4                 6.0       NaN       1.0       NaN       6.0       NaN   \n",
       "\n",
       "customer_id  88713629  88713763  88715182  88727220  88727545  88735938  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       3.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       6.0       NaN       2.0   \n",
       "3                 1.0       NaN       NaN       1.0       NaN       NaN   \n",
       "4                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  88745997  88750461  88757297  88759924  88762055  88789166  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 2.0       NaN       NaN       NaN       NaN       2.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       5.0       NaN       NaN       NaN       2.0   \n",
       "\n",
       "customer_id  88791777  88794218  88805806  88811974  88816014  88824982  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       NaN       2.0       NaN   \n",
       "1                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       3.0       NaN       NaN       NaN   \n",
       "3                 1.0       NaN       1.0       NaN       NaN       NaN   \n",
       "4                 3.0       NaN       1.0       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  88845524  88850073  88860811  88862322  88877409  88887169  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       6.0       1.0       NaN       1.0   \n",
       "1                 NaN       NaN       NaN       2.0       NaN       9.0   \n",
       "2                 NaN       2.0       4.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       2.0       NaN       NaN       1.0   \n",
       "4                 1.0       1.0       NaN       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  88909520  88912505  88914930  88924303  88935077  88936620  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "\n",
       "customer_id  88938877  88943100  88953742  88953978  88957769  88971561  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       3.0       NaN       3.0       1.0       1.0   \n",
       "1                 NaN       NaN       NaN       3.0       NaN       1.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       2.0       1.0       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       3.0       2.0   \n",
       "\n",
       "customer_id  88975739  88986376  88991035  88992699  89001355  89003636  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       NaN       NaN       1.0   \n",
       "1                 NaN       NaN       NaN       NaN       1.0       1.0   \n",
       "2                 NaN       2.0       NaN       NaN       2.0       3.0   \n",
       "3                 NaN       NaN       NaN       NaN       5.0       NaN   \n",
       "4                 1.0       NaN       NaN       NaN       3.0       NaN   \n",
       "\n",
       "customer_id  89016400  89019714  89038920  89042948  89046659  89054081  \\\n",
       "num_day                                                                   \n",
       "0                 3.0       1.0       3.0       1.0       NaN       1.0   \n",
       "1                 3.0       1.0       NaN       NaN       NaN       1.0   \n",
       "2                 NaN       NaN       1.0       1.0       NaN       NaN   \n",
       "3                 2.0       2.0       1.0       3.0       2.0       2.0   \n",
       "4                 3.0       2.0       NaN       4.0       NaN       1.0   \n",
       "\n",
       "customer_id  89054135  89061590  89069735  89072628  89080223  89080700  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       3.0       1.0       NaN   \n",
       "1                 NaN       1.0       NaN       NaN       3.0       NaN   \n",
       "2                 NaN       2.0       NaN       1.0       1.0       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       3.0       1.0   \n",
       "\n",
       "customer_id  89095703  89116031  89116468  89117677  89134791  89148908  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "3                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  89148969  89157170  89159978  89176508  89182329  89185088  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 1.0       NaN       NaN       NaN       NaN       1.0   \n",
       "3                 NaN       NaN       NaN       4.0       1.0       6.0   \n",
       "4                 NaN       NaN       NaN       NaN       1.0       1.0   \n",
       "\n",
       "customer_id  89193458  89206126  89210806  89222217  89235739  89262096  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       2.0       NaN       3.0   \n",
       "1                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "2                 3.0       NaN       1.0       1.0       NaN       NaN   \n",
       "3                 5.0       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 1.0       NaN       3.0       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  89262911  89267243  89267268  89268653  89277710  89281745  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       3.0       1.0       1.0   \n",
       "1                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "2                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "4                 NaN       NaN       NaN       NaN       5.0       2.0   \n",
       "\n",
       "customer_id  89287721  89291809  89292619  89321452  89322067  89323856  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       3.0       NaN       2.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       3.0       NaN       1.0   \n",
       "3                 NaN       1.0       NaN       1.0       NaN       4.0   \n",
       "4                 NaN       2.0       1.0       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  89333392  89339102  89342360  89357251  89361850  89372866  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 2.0       1.0       NaN       NaN       1.0       NaN   \n",
       "2                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       3.0       NaN       NaN   \n",
       "4                 2.0       NaN       NaN       6.0       1.0       NaN   \n",
       "\n",
       "customer_id  89379560  89409884  89414301  89425841  89431544  89434545  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "1                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  89440657  89442192  89442238  89442444  89447063  89450517  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       NaN       NaN       1.0       NaN   \n",
       "1                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       6.0       NaN       2.0       NaN   \n",
       "3                 3.0       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 5.0       1.0       2.0       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  89459212  89470916  89471122  89473077  89480887  89487928  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       1.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       1.0       1.0       NaN   \n",
       "4                 NaN       NaN       1.0       NaN       2.0       1.0   \n",
       "\n",
       "customer_id  89488789  89492130  89497781  89498932  89501240  89506286  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       1.0       1.0       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 1.0       1.0       1.0       NaN       NaN       NaN   \n",
       "4                 1.0       2.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  89507768  89509820  89517332  89519790  89537039  89545472  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       5.0       1.0       2.0       NaN   \n",
       "1                 1.0       NaN       1.0       1.0       NaN       4.0   \n",
       "2                 NaN       NaN       4.0       3.0       NaN       1.0   \n",
       "3                 NaN       3.0       NaN       1.0       NaN       2.0   \n",
       "4                 1.0       NaN       7.0       NaN       1.0       2.0   \n",
       "\n",
       "customer_id  89546168  89547703  89555284  89562088  89573230  89574960  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       2.0       NaN       3.0       NaN       NaN   \n",
       "1                 NaN       1.0       NaN       NaN       1.0       NaN   \n",
       "2                 NaN       3.0       1.0       1.0       NaN       NaN   \n",
       "3                 NaN       3.0       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  89575735  89576281  89580047  89593527  89597970  89608665  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       2.0       NaN       1.0       NaN       NaN   \n",
       "1                 NaN       2.0       NaN       6.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  89613115  89619970  89621917  89625038  89627678  89637426  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       3.0       1.0       NaN   \n",
       "1                 1.0       3.0       NaN       1.0       1.0       NaN   \n",
       "2                 2.0       3.0       2.0       NaN       NaN       NaN   \n",
       "3                 NaN       2.0       1.0       NaN       NaN       NaN   \n",
       "4                 4.0       1.0       3.0       2.0       NaN       NaN   \n",
       "\n",
       "customer_id  89647691  89653769  89666546  89674632  89691547  89700094  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "1                 2.0       NaN       NaN       1.0       NaN       2.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       1.0       NaN       NaN       2.0   \n",
       "4                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  89701672  89720806  89721350  89722350  89729753  89740943  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       2.0       NaN       5.0       2.0   \n",
       "1                 2.0       3.0       1.0       NaN       5.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       4.0       NaN   \n",
       "3                 4.0       2.0       NaN       NaN       4.0       NaN   \n",
       "4                 1.0       2.0       NaN       1.0       2.0       1.0   \n",
       "\n",
       "customer_id  89748062  89750103  89757351  89761230  89762855  89786835  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       3.0       NaN   \n",
       "1                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 5.0       NaN       NaN       NaN       1.0       NaN   \n",
       "4                 3.0       NaN       NaN       NaN       2.0       NaN   \n",
       "\n",
       "customer_id  89788126  89793661  89797932  89808284  89829743  89831475  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       NaN       3.0       NaN       NaN   \n",
       "1                 1.0       NaN       NaN       NaN       NaN       3.0   \n",
       "2                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "3                 2.0       1.0       NaN       3.0       NaN       NaN   \n",
       "4                 1.0       2.0       NaN       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  89832284  89859827  89879339  89879557  89892876  89903581  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  89918715  89923306  89930657  89934397  89937916  89938970  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       1.0       NaN       NaN       NaN   \n",
       "1                 2.0       NaN       1.0       NaN       3.0       1.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  89945711  89963751  89989620  90002893  90005965  90009918  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "1                 NaN       3.0       NaN       NaN       NaN       2.0   \n",
       "2                 NaN       2.0       NaN       NaN       NaN       2.0   \n",
       "3                 NaN       NaN       NaN       1.0       NaN       2.0   \n",
       "4                 NaN       4.0       NaN       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  90011720  90020800  90022565  90053651  90072280  90077714  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       NaN       NaN       3.0   \n",
       "1                 NaN       NaN       NaN       2.0       2.0       2.0   \n",
       "2                 NaN       1.0       2.0       1.0       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       3.0       1.0       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       4.0       2.0   \n",
       "\n",
       "customer_id  90081271  90094556  90116988  90134592  90145416  90159845  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       5.0       NaN   \n",
       "2                 NaN       1.0       1.0       NaN       NaN       NaN   \n",
       "3                 NaN       1.0       NaN       NaN       1.0       NaN   \n",
       "4                 NaN       1.0       1.0       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  90168457  90169769  90184033  90187741  90191121  90199889  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       3.0       1.0       5.0   \n",
       "1                 NaN       NaN       2.0       5.0       1.0       NaN   \n",
       "2                 NaN       NaN       1.0       1.0       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "4                 NaN       2.0       1.0       NaN       NaN       2.0   \n",
       "\n",
       "customer_id  90209156  90212469  90219583  90233782  90236282  90238920  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       1.0       NaN       1.0       NaN       2.0   \n",
       "1                 1.0       1.0       NaN       NaN       NaN       NaN   \n",
       "2                 1.0       1.0       NaN       NaN       NaN       NaN   \n",
       "3                 4.0       1.0       NaN       NaN       NaN       4.0   \n",
       "4                 5.0       1.0       1.0       NaN       1.0       1.0   \n",
       "\n",
       "customer_id  90252666  90258692  90259565  90265357  90274663  90276425  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  90278223  90286964  90292087  90308191  90312338  90330427  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       3.0       NaN       NaN       NaN       1.0   \n",
       "1                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "2                 1.0       2.0       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       1.0       NaN       NaN       1.0       2.0   \n",
       "4                 1.0       3.0       NaN       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  90332495  90332679  90334624  90342947  90345699  90350810  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       1.0       2.0       2.0   \n",
       "1                 NaN       NaN       2.0       4.0       NaN       1.0   \n",
       "2                 NaN       NaN       2.0       NaN       NaN       1.0   \n",
       "3                 NaN       NaN       1.0       NaN       NaN       3.0   \n",
       "4                 NaN       NaN       2.0       NaN       NaN       2.0   \n",
       "\n",
       "customer_id  90357754  90358536  90370030  90376934  90387824  90393281  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       NaN       1.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "2                 3.0       1.0       NaN       NaN       NaN       NaN   \n",
       "3                 3.0       NaN       1.0       1.0       NaN       NaN   \n",
       "4                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  90398087  90408943  90417572  90429560  90456190  90458610  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       1.0       1.0       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "2                 NaN       4.0       NaN       NaN       1.0       NaN   \n",
       "3                 NaN       3.0       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       4.0       NaN   \n",
       "\n",
       "customer_id  90493352  90499028  90501931  90510411  90514029  90522298  \\\n",
       "num_day                                                                   \n",
       "0                 4.0       NaN       NaN       1.0       NaN       NaN   \n",
       "1                 3.0       NaN       NaN       1.0       NaN       NaN   \n",
       "2                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "3                 3.0       NaN       NaN       NaN       1.0       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       3.0       NaN   \n",
       "\n",
       "customer_id  90524119  90541594  90545910  90553172  90573345  90577004  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       1.0       NaN       5.0       NaN       NaN   \n",
       "1                 2.0       NaN       1.0       NaN       NaN       NaN   \n",
       "2                 1.0       2.0       NaN       2.0       NaN       NaN   \n",
       "3                 NaN       1.0       NaN       NaN       1.0       NaN   \n",
       "4                 1.0       2.0       1.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  90591079  90594795  90596843  90600873  90601024  90605584  \\\n",
       "num_day                                                                   \n",
       "0                 4.0       NaN       NaN       NaN       1.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 3.0       NaN       1.0       NaN       NaN       NaN   \n",
       "4                 1.0       NaN       1.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  90607472  90610152  90610997  90621440  90628704  90634231  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       3.0       NaN       3.0       NaN       NaN   \n",
       "1                 NaN       NaN       1.0       8.0       NaN       NaN   \n",
       "2                 NaN       1.0       NaN       4.0       NaN       1.0   \n",
       "3                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       6.0       NaN       NaN   \n",
       "\n",
       "customer_id  90641486  90678061  90684787  90687929  90691233  90691671  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  90700555  90701427  90715593  90719506  90724534  90726215  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "4                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  90732869  90756257  90759096  90759354  90759904  90773101  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       2.0       2.0       2.0       NaN       NaN   \n",
       "1                 NaN       1.0       NaN       NaN       6.0       1.0   \n",
       "2                 NaN       1.0       NaN       2.0       2.0       1.0   \n",
       "3                 NaN       NaN       NaN       NaN       4.0       4.0   \n",
       "4                 NaN       4.0       4.0       NaN       NaN       3.0   \n",
       "\n",
       "customer_id  90775337  90791793  90796706  90804662  90808332  90816770  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN      14.0       1.0       5.0       1.0   \n",
       "1                 1.0       NaN       9.0       NaN       1.0       2.0   \n",
       "2                 NaN       NaN       4.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN      22.0       NaN       2.0       NaN   \n",
       "4                 1.0       NaN      22.0       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  90820233  90831629  90848766  90849430  90851084  90858767  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       4.0       NaN       1.0       NaN       NaN   \n",
       "1                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "3                 NaN       1.0       1.0       1.0       1.0       2.0   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  90859530  90869648  90879835  90885347  90888151  90890195  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       2.0       NaN       NaN       3.0   \n",
       "1                 NaN       NaN       2.0       NaN       NaN       8.0   \n",
       "2                 NaN       1.0       1.0       NaN       NaN       5.0   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       3.0   \n",
       "4                 NaN       NaN       NaN       1.0       NaN       7.0   \n",
       "\n",
       "customer_id  90891731  90900035  90909392  90917592  90918201  90923818  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       2.0       NaN       NaN       2.0   \n",
       "1                 NaN       NaN       NaN       1.0       NaN       3.0   \n",
       "2                 NaN       1.0       NaN       3.0       NaN      11.0   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "4                 NaN       NaN       2.0       NaN       NaN       4.0   \n",
       "\n",
       "customer_id  90934286  90934830  90935269  90936101  90945628  90949661  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 1.0       1.0       NaN       1.0       NaN       NaN   \n",
       "2                 6.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 4.0       NaN       NaN       1.0       2.0       NaN   \n",
       "4                 2.0       NaN       NaN       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  90958842  90958844  90958995  90961024  90963493  90975438  \\\n",
       "num_day                                                                   \n",
       "0                 3.0       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "2                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       1.0       NaN       NaN       1.0       NaN   \n",
       "4                 1.0       NaN       NaN       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  90976041  90990235  90994943  90997823  91010140  91030492  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       4.0       NaN       NaN   \n",
       "1                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "3                 NaN       NaN       1.0       1.0       NaN       NaN   \n",
       "4                 2.0       NaN       NaN       2.0       NaN       NaN   \n",
       "\n",
       "customer_id  91035980  91048652  91060698  91060809  91073908  91075186  \\\n",
       "num_day                                                                   \n",
       "0                 3.0       NaN       NaN       NaN       9.0       NaN   \n",
       "1                 4.0       NaN       NaN       NaN       6.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       7.0       NaN   \n",
       "3                 2.0       NaN       NaN       NaN      19.0       NaN   \n",
       "4                 2.0       NaN       NaN       NaN       5.0       NaN   \n",
       "\n",
       "customer_id  91082602  91091612  91097165  91097632  91101111  91101945  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       4.0       NaN   \n",
       "4                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "\n",
       "customer_id  91104008  91104747  91116705  91116884  91123473  91128848  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       1.0       NaN       1.0       2.0   \n",
       "1                 NaN       1.0       NaN       NaN       1.0       NaN   \n",
       "2                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "3                 4.0       1.0       NaN       2.0       2.0       2.0   \n",
       "4                 NaN       1.0       NaN       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  91173477  91174737  91183805  91187991  91188012  91188693  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       1.0       1.0       NaN       1.0       1.0   \n",
       "1                 NaN       1.0       4.0       NaN       NaN       1.0   \n",
       "2                 NaN       NaN       3.0       NaN       2.0       NaN   \n",
       "3                 NaN       NaN       7.0       NaN       NaN       NaN   \n",
       "4                 1.0       2.0       NaN       1.0       NaN       7.0   \n",
       "\n",
       "customer_id  91198017  91200815  91210508  91212486  91219803  91223020  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       7.0       1.0       NaN   \n",
       "1                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "2                 NaN       1.0       NaN       2.0       2.0       NaN   \n",
       "3                 2.0       NaN       NaN       1.0       NaN       NaN   \n",
       "4                 NaN       2.0       NaN       1.0       6.0       NaN   \n",
       "\n",
       "customer_id  91223616  91227453  91230552  91234727  91235754  91235832  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       3.0       1.0       2.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       3.0       1.0   \n",
       "2                 NaN       1.0       1.0       1.0       1.0       NaN   \n",
       "3                 NaN       NaN       NaN       1.0       1.0       NaN   \n",
       "4                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  91237635  91247692  91248192  91248365  91256782  91267161  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       2.0       5.0       NaN       NaN   \n",
       "1                 NaN       2.0       6.0       2.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       6.0       NaN       NaN   \n",
       "3                 NaN       2.0       1.0       4.0       NaN       NaN   \n",
       "4                 NaN       3.0       2.0       4.0       NaN       NaN   \n",
       "\n",
       "customer_id  91278241  91288568  91293742  91301143  91301511  91309582  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       2.0       NaN       1.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       3.0       1.0       NaN   \n",
       "3                 NaN       NaN       NaN       1.0       2.0       NaN   \n",
       "4                 NaN       1.0       NaN       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  91309816  91320336  91330600  91338415  91345935  91351085  \\\n",
       "num_day                                                                   \n",
       "0                 3.0       2.0       NaN       NaN       1.0       1.0   \n",
       "1                 NaN       1.0       NaN       NaN       1.0       2.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  91354706  91374393  91375312  91377213  91380704  91386761  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       1.0       NaN       2.0   \n",
       "1                 NaN       9.0       NaN       NaN       NaN       1.0   \n",
       "2                 NaN       3.0       NaN       1.0       NaN       NaN   \n",
       "3                 NaN       2.0       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       4.0       NaN       5.0   \n",
       "\n",
       "customer_id  91390597  91391942  91395350  91403118  91404684  91408264  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "4                 NaN       2.0       NaN       NaN       3.0       NaN   \n",
       "\n",
       "customer_id  91410708  91417170  91421127  91424577  91424609  91426374  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       4.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "2                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "3                 1.0       2.0       NaN       NaN       1.0       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  91434583  91437038  91442236  91443341  91453110  91453656  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       1.0       NaN       3.0   \n",
       "1                 NaN       4.0       NaN       3.0       NaN       2.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       5.0   \n",
       "3                 2.0       NaN       NaN       NaN       NaN       1.0   \n",
       "4                 NaN       6.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  91468542  91470172  91472082  91473053  91473563  91475168  \\\n",
       "num_day                                                                   \n",
       "0                 3.0       2.0       NaN       NaN       NaN       1.0   \n",
       "1                 NaN       NaN       1.0       NaN       1.0       1.0   \n",
       "2                 2.0       NaN       NaN       1.0       NaN       3.0   \n",
       "3                 2.0       2.0       NaN       1.0       1.0       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  91476454  91477604  91485618  91495269  91500087  91512720  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       2.0       3.0       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       1.0       NaN       NaN       2.0       NaN   \n",
       "3                 NaN       NaN       3.0       NaN       NaN       NaN   \n",
       "4                 NaN       2.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  91514864  91518405  91522301  91524184  91531639  91541254  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  91549330  91575818  91580852  91582559  91583195  91589936  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       NaN       2.0       NaN       NaN   \n",
       "1                 2.0       5.0       NaN       1.0       NaN       NaN   \n",
       "2                 1.0       1.0       NaN       3.0       NaN       NaN   \n",
       "3                 1.0       2.0       NaN       NaN       5.0       NaN   \n",
       "4                 NaN       NaN       NaN       2.0       3.0       NaN   \n",
       "\n",
       "customer_id  91607630  91616522  91619045  91632940  91643970  91646724  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       1.0       1.0   \n",
       "1                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "2                 2.0       NaN       NaN       NaN       1.0       NaN   \n",
       "3                 1.0       NaN       NaN       NaN       1.0       NaN   \n",
       "4                 4.0       NaN       1.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  91647598  91647754  91656008  91661754  91679053  91681704  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       6.0   \n",
       "\n",
       "customer_id  91683449  91710155  91712452  91712486  91712844  91712876  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN      13.0       2.0       NaN       NaN   \n",
       "1                 NaN       NaN       7.0       NaN       NaN       NaN   \n",
       "2                 NaN       1.0       6.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "4                 NaN       1.0       1.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  91720389  91723884  91729538  91731161  91736163  91758479  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       3.0       1.0       NaN       3.0   \n",
       "1                 NaN       NaN       4.0       1.0       NaN       1.0   \n",
       "2                 NaN       1.0       3.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "4                 NaN       1.0       NaN       1.0       NaN       1.0   \n",
       "\n",
       "customer_id  91761612  91764449  91778277  91791462  91803318  91809786  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       3.0       1.0       NaN   \n",
       "1                 1.0       NaN       1.0       1.0       4.0       NaN   \n",
       "2                 NaN       3.0       NaN       7.0       1.0       NaN   \n",
       "3                 2.0       1.0       NaN       5.0       4.0       NaN   \n",
       "4                 NaN       6.0       2.0       2.0       5.0       NaN   \n",
       "\n",
       "customer_id  91837362  91843324  91843603  91845211  91848348  91848781  \\\n",
       "num_day                                                                   \n",
       "0                 5.0       2.0       NaN       NaN       NaN       NaN   \n",
       "1                 1.0      12.0       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       5.0       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       7.0       3.0       NaN       NaN       NaN   \n",
       "4                 1.0       5.0       1.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  91850106  91853399  91862593  91869702  91870575  91870738  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       3.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       3.0       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "\n",
       "customer_id  91871945  91889063  91906022  91924772  91935267  91935610  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       2.0       NaN       NaN       1.0   \n",
       "2                 NaN       NaN       2.0       NaN       NaN       1.0   \n",
       "3                 NaN       NaN       1.0       NaN       NaN       1.0   \n",
       "4                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  91937494  91942377  91951616  91962436  91964839  91973819  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       1.0       5.0   \n",
       "1                 NaN       2.0       NaN       NaN       NaN       4.0   \n",
       "2                 NaN       2.0       3.0       NaN       NaN       2.0   \n",
       "3                 NaN       5.0       3.0       NaN       1.0       8.0   \n",
       "4                 NaN       1.0       1.0       NaN       NaN       3.0   \n",
       "\n",
       "customer_id  91974511  91977655  91977740  91983549  91986183  91996945  \\\n",
       "num_day                                                                   \n",
       "0                 3.0       NaN       3.0       NaN       1.0       NaN   \n",
       "1                 2.0       2.0       3.0       1.0       NaN       1.0   \n",
       "2                 4.0       1.0       NaN       NaN       2.0       NaN   \n",
       "3                 1.0       2.0       NaN       1.0       1.0       NaN   \n",
       "4                 1.0       3.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  91998647  91998901  92000553  92025122  92030796  92052392  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       3.0       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  92055019  92056129  92056774  92058958  92084454  92084712  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       1.0       NaN       1.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "3                 NaN       2.0       NaN       1.0       NaN       NaN   \n",
       "4                 NaN       1.0       NaN       2.0       NaN       NaN   \n",
       "\n",
       "customer_id  92095919  92097660  92100571  92100655  92128235  92134780  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       NaN       NaN       1.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       4.0       NaN       NaN       NaN       1.0   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  92137488  92138651  92142815  92143960  92148250  92152611  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "1                 2.0       2.0       NaN       NaN       NaN       1.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       2.0       NaN       5.0       NaN       1.0   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  92158910  92160474  92177496  92177979  92178591  92191141  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       NaN       2.0       NaN   \n",
       "1                 NaN       5.0       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       3.0       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       1.0       NaN       NaN       2.0       NaN   \n",
       "4                 1.0       1.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  92193428  92197764  92204515  92243195  92244211  92244512  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       3.0       2.0       NaN       NaN       NaN   \n",
       "1                 NaN       2.0       2.0       2.0       NaN       NaN   \n",
       "2                 NaN       2.0       3.0       NaN       2.0       NaN   \n",
       "3                 NaN       NaN       2.0       NaN       2.0       NaN   \n",
       "4                 NaN       2.0       3.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  92251335  92259194  92270122  92283523  92287593  92309179  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       7.0       4.0       NaN   \n",
       "1                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "2                 NaN       2.0       NaN       4.0       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       1.0       1.0       NaN   \n",
       "4                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "\n",
       "customer_id  92316134  92322336  92326906  92337108  92338287  92340374  \\\n",
       "num_day                                                                   \n",
       "0                 4.0       NaN       1.0       NaN       4.0       NaN   \n",
       "1                 1.0       NaN       1.0       NaN       3.0       NaN   \n",
       "2                 NaN       NaN       1.0       NaN       2.0       NaN   \n",
       "3                 2.0       NaN       3.0       1.0       1.0       NaN   \n",
       "4                 3.0       NaN       2.0       NaN       2.0       NaN   \n",
       "\n",
       "customer_id  92353645  92374778  92378036  92386953  92389091  92391674  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       4.0       NaN       NaN       NaN   \n",
       "1                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       1.0       4.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  92401013  92403086  92404238  92410631  92413508  92414156  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  92418320  92430984  92473527  92485998  92487531  92487753  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       NaN       6.0       NaN   \n",
       "1                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       4.0       NaN       NaN       NaN   \n",
       "3                 2.0       NaN       NaN       NaN       2.0       NaN   \n",
       "4                 NaN       NaN       4.0       NaN       1.0       1.0   \n",
       "\n",
       "customer_id  92491235  92507159  92535930  92541025  92545103  92554046  \\\n",
       "num_day                                                                   \n",
       "0                 3.0       NaN       NaN       1.0       NaN       NaN   \n",
       "1                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       1.0       1.0      10.0       NaN       NaN   \n",
       "4                 NaN       1.0       NaN       4.0       NaN       NaN   \n",
       "\n",
       "customer_id  92559778  92569234  92579895  92579944  92584117  92616519  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       NaN       3.0       NaN   \n",
       "1                 NaN       3.0       NaN       2.0       8.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       6.0       NaN   \n",
       "3                 NaN       4.0       NaN       NaN       2.0       6.0   \n",
       "4                 NaN       1.0       1.0       2.0       1.0       NaN   \n",
       "\n",
       "customer_id  92618452  92624258  92625133  92627852  92636266  92639142  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       4.0       NaN       1.0       3.0       2.0   \n",
       "1                 NaN       2.0       1.0       1.0       5.0       1.0   \n",
       "2                 NaN       2.0       NaN       NaN       2.0       3.0   \n",
       "3                 1.0       NaN       1.0       1.0       6.0       NaN   \n",
       "4                 4.0       NaN       2.0       NaN       NaN       4.0   \n",
       "\n",
       "customer_id  92659530  92663392  92674191  92686005  92692871  92693027  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "3                 1.0       NaN       NaN       NaN       3.0       NaN   \n",
       "4                 1.0       NaN       NaN       NaN       2.0       1.0   \n",
       "\n",
       "customer_id  92701198  92702941  92731609  92733867  92740981  92745074  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       NaN       1.0       NaN   \n",
       "1                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       2.0       NaN       NaN       5.0       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "4                 NaN       2.0       2.0       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  92766561  92773945  92785744  92794277  92816517  92817587  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "1                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  92820759  92843976  92851143  92857381  92858142  92860028  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       3.0       1.0       NaN       NaN   \n",
       "1                 NaN       NaN       2.0       1.0       6.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       1.0       1.0   \n",
       "3                 NaN       NaN       4.0       2.0       NaN       1.0   \n",
       "4                 NaN       NaN       NaN       3.0       NaN       NaN   \n",
       "\n",
       "customer_id  92866269  92867029  92867125  92873935  92874020  92877183  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  92880945  92881935  92901788  92902436  92904640  92905157  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       1.0       2.0       NaN       NaN       2.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 1.0       NaN       1.0       NaN       NaN       NaN   \n",
       "3                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 1.0       NaN       NaN       NaN       NaN       2.0   \n",
       "\n",
       "customer_id  92906081  92906966  92910743  92914370  92917530  92919566  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       1.0       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "2                 NaN       1.0       NaN       NaN       NaN       3.0   \n",
       "3                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 1.0       1.0       NaN       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  92929073  92934575  92940149  92949824  92955048  92972577  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       1.0       NaN       1.0       NaN   \n",
       "3                 NaN       NaN       1.0       NaN       1.0       NaN   \n",
       "4                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  92981530  92999090  93000047  93010676  93011179  93014616  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "1                 2.0       NaN       NaN       2.0       NaN       NaN   \n",
       "2                 NaN       2.0       NaN       NaN       1.0       NaN   \n",
       "3                 NaN       NaN       NaN       6.0       4.0       NaN   \n",
       "4                 NaN       NaN       NaN       1.0       1.0       NaN   \n",
       "\n",
       "customer_id  93021647  93022789  93024496  93031909  93031933  93035249  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "1                 NaN       2.0       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  93043169  93059008  93060710  93078414  93089398  93089643  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  93097060  93097514  93097735  93106302  93115285  93123732  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       3.0       NaN       2.0   \n",
       "1                 NaN       1.0       NaN       NaN       NaN       1.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "3                 NaN       NaN       NaN       1.0       NaN       2.0   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       6.0   \n",
       "\n",
       "customer_id  93136428  93149548  93176546  93183173  93189792  93209091  \\\n",
       "num_day                                                                   \n",
       "0                 4.0       NaN       NaN       1.0       NaN       NaN   \n",
       "1                 NaN       NaN       3.0       4.0       NaN       NaN   \n",
       "2                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "3                 3.0       NaN       NaN       3.0       5.0       NaN   \n",
       "4                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  93217261  93220464  93221804  93230237  93245257  93247406  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       2.0       1.0       6.0       NaN       NaN   \n",
       "1                 NaN       2.0       NaN       2.0       4.0       NaN   \n",
       "2                 3.0       1.0       NaN       3.0       NaN       NaN   \n",
       "3                 NaN       3.0       NaN       3.0       NaN       NaN   \n",
       "4                 NaN       6.0       NaN       5.0       1.0       NaN   \n",
       "\n",
       "customer_id  93254585  93257855  93259428  93265038  93267321  93278289  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  93280648  93299699  93302462  93314098  93315648  93318533  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       NaN       1.0       2.0   \n",
       "1                 1.0       1.0       NaN       NaN       NaN       NaN   \n",
       "2                 1.0       NaN       NaN       NaN       1.0       NaN   \n",
       "3                 2.0       NaN       NaN       1.0       NaN       NaN   \n",
       "4                 NaN       NaN       1.0       NaN       2.0       NaN   \n",
       "\n",
       "customer_id  93322758  93323663  93329466  93329704  93340268  93350383  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       3.0       NaN       1.0   \n",
       "1                 NaN       NaN       NaN       NaN       1.0       6.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       4.0   \n",
       "3                 NaN       NaN       NaN       1.0       NaN       2.0   \n",
       "4                 NaN       5.0       NaN       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  93354906  93358299  93358981  93361647  93364246  93365847  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 2.0       NaN       NaN       1.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       3.0       NaN       NaN   \n",
       "\n",
       "customer_id  93366462  93369119  93387124  93389766  93409100  93412388  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       2.0       NaN       NaN       4.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       7.0   \n",
       "2                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       7.0   \n",
       "4                 NaN       NaN       3.0       NaN       3.0       1.0   \n",
       "\n",
       "customer_id  93419578  93425486  93428215  93453966  93462786  93470404  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       3.0       NaN       1.0   \n",
       "3                 NaN       NaN       NaN       3.0       1.0       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  93471653  93472541  93478197  93478792  93481965  93482866  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       1.0       1.0   \n",
       "2                 NaN       NaN       1.0       NaN       NaN       6.0   \n",
       "3                 NaN       2.0       1.0       NaN       1.0       4.0   \n",
       "4                 NaN       1.0       1.0       NaN       NaN       4.0   \n",
       "\n",
       "customer_id  93487974  93489804  93501484  93504782  93507430  93518854  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       5.0       NaN       1.0       NaN       1.0   \n",
       "1                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       4.0   \n",
       "3                 NaN       4.0       NaN       NaN       NaN       1.0   \n",
       "4                 1.0       2.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  93521276  93523674  93524721  93533984  93535963  93553972  \\\n",
       "num_day                                                                   \n",
       "0                 4.0       2.0       1.0       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       3.0       1.0       NaN   \n",
       "2                 1.0       2.0       1.0       3.0       NaN       NaN   \n",
       "3                 1.0       3.0       3.0       NaN       NaN       NaN   \n",
       "4                 3.0       2.0       3.0       4.0       1.0       NaN   \n",
       "\n",
       "customer_id  93554277  93556332  93559700  93562787  93572416  93574409  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       3.0       NaN       3.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       1.0       NaN       1.0       NaN   \n",
       "4                 NaN       2.0       6.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  93600267  93618063  93622268  93626858  93629004  93635530  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN      10.0       3.0       2.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 1.0       NaN       1.0       4.0       3.0       NaN   \n",
       "4                 1.0       NaN       2.0       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  93636779  93643088  93659963  93670252  93677449  93682887  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       4.0       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       3.0       NaN       NaN       NaN       NaN   \n",
       "2                 1.0       4.0       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       5.0       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       1.0       1.0       NaN       2.0       NaN   \n",
       "\n",
       "customer_id  93683614  93685024  93686698  93697017  93698913  93699607  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       1.0       NaN       2.0   \n",
       "1                 NaN       NaN       NaN       3.0       NaN       NaN   \n",
       "2                 NaN       2.0       1.0       3.0       4.0       NaN   \n",
       "3                 NaN       1.0       2.0       NaN       4.0       1.0   \n",
       "4                 1.0       NaN       2.0       1.0       2.0       NaN   \n",
       "\n",
       "customer_id  93713843  93715144  93721775  93739946  93741075  93741697  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       2.0       4.0   \n",
       "1                 1.0       NaN       2.0       1.0       1.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       4.0       NaN   \n",
       "3                 NaN       NaN       2.0       NaN       8.0       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  93798164  93803703  93805180  93810487  93818432  93831724  \\\n",
       "num_day                                                                   \n",
       "0                 6.0       NaN       NaN       NaN       3.0       1.0   \n",
       "1                 NaN       NaN       6.0       1.0       4.0       NaN   \n",
       "2                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "3                 2.0       4.0       1.0       1.0       2.0       1.0   \n",
       "4                 2.0       2.0       1.0       NaN       4.0       3.0   \n",
       "\n",
       "customer_id  93844352  93851389  93857026  93860479  93875198  93876250  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       1.0       1.0   \n",
       "1                 NaN       NaN       NaN       NaN       1.0       1.0   \n",
       "2                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       1.0       NaN       NaN       1.0   \n",
       "4                 NaN       NaN       NaN       NaN       1.0       2.0   \n",
       "\n",
       "customer_id  93877315  93882392  93894696  93894881  93911343  93914512  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 4.0       NaN       NaN       NaN       NaN       2.0   \n",
       "2                 2.0       NaN       2.0       NaN       NaN       3.0   \n",
       "3                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 1.0       NaN       1.0       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  93918551  93919839  93921287  93939541  93951993  93964544  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       NaN       NaN       4.0   \n",
       "1                 2.0       NaN       1.0       NaN       NaN       NaN   \n",
       "2                 1.0       NaN       NaN       NaN       NaN       2.0   \n",
       "3                 3.0       NaN       4.0       NaN       NaN       NaN   \n",
       "4                 1.0       2.0       3.0       NaN       NaN       2.0   \n",
       "\n",
       "customer_id  93971006  93979672  93980764  93986992  94005442  94012245  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       3.0       2.0       NaN       1.0   \n",
       "1                 1.0       NaN       1.0       NaN       NaN       1.0   \n",
       "2                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "3                 3.0       2.0       NaN       NaN       NaN       1.0   \n",
       "4                 2.0       NaN       NaN       NaN       4.0       NaN   \n",
       "\n",
       "customer_id  94017493  94018403  94027744  94030669  94046100  94047137  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       4.0       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  94047150  94047214  94050884  94051956  94054404  94057328  \\\n",
       "num_day                                                                   \n",
       "0                 9.0       1.0       1.0       NaN       NaN       NaN   \n",
       "1                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 1.0       NaN       NaN       NaN       1.0       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       1.0       NaN       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  94060979  94064467  94065655  94069501  94084091  94091803  \\\n",
       "num_day                                                                   \n",
       "0                 4.0       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  94094826  94098171  94098205  94102644  94104034  94110803  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       1.0       1.0       NaN   \n",
       "2                 NaN       NaN       NaN       1.0       2.0       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 3.0       NaN       NaN       NaN       NaN       2.0   \n",
       "\n",
       "customer_id  94110872  94140855  94156006  94157282  94160907  94166854  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "1                 2.0       2.0       1.0       NaN       NaN       1.0   \n",
       "2                 2.0       4.0       2.0       NaN       NaN       2.0   \n",
       "3                 3.0       5.0       NaN       NaN       NaN       7.0   \n",
       "4                 1.0       4.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  94180042  94181516  94183560  94192485  94197582  94198426  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "4                 NaN       NaN       1.0       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  94205618  94209253  94211449  94211522  94211608  94222600  \\\n",
       "num_day                                                                   \n",
       "0                 9.0       4.0       NaN       1.0       1.0       NaN   \n",
       "1                 NaN       1.0       NaN       NaN       NaN       5.0   \n",
       "2                 4.0       1.0       1.0       NaN       NaN       6.0   \n",
       "3                 NaN       1.0       NaN       1.0       NaN       NaN   \n",
       "4                 2.0       1.0       NaN       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  94222898  94223016  94223809  94225315  94238500  94258484  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       NaN       NaN       1.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 2.0       NaN       NaN       2.0       NaN       NaN   \n",
       "\n",
       "customer_id  94271606  94272314  94284222  94292971  94308769  94322959  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       NaN       2.0       NaN   \n",
       "1                 NaN       NaN       3.0       NaN       6.0       1.0   \n",
       "2                 NaN       NaN       4.0       NaN       5.0       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       5.0       2.0   \n",
       "4                 NaN       4.0       NaN       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  94327036  94327666  94328553  94332415  94338187  94358239  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  94362880  94365096  94367969  94374717  94381868  94388569  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       2.0       1.0       NaN       NaN       2.0   \n",
       "1                 NaN       NaN       4.0       NaN       NaN       2.0   \n",
       "2                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "4                 NaN       1.0       NaN       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  94395091  94397499  94401954  94422888  94425915  94426973  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       2.0       1.0       NaN   \n",
       "1                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 3.0       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       1.0       2.0       NaN       NaN   \n",
       "\n",
       "customer_id  94432656  94434454  94437220  94449657  94454524  94461607  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       2.0       1.0   \n",
       "2                 1.0       NaN       NaN       NaN       2.0       NaN   \n",
       "3                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  94476461  94488268  94488523  94500594  94503917  94509476  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       4.0       NaN       3.0       NaN   \n",
       "1                 NaN       NaN       5.0       NaN       NaN       2.0   \n",
       "2                 NaN       NaN       3.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       3.0       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       5.0       2.0       NaN       2.0   \n",
       "\n",
       "customer_id  94510903  94513734  94527967  94529296  94544913  94546161  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "3                 NaN       NaN       NaN       4.0       7.0       NaN   \n",
       "4                 NaN       NaN       1.0       NaN       5.0       NaN   \n",
       "\n",
       "customer_id  94546274  94551267  94553454  94554064  94554365  94574329  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       6.0       2.0       NaN       3.0   \n",
       "1                 NaN       5.0       2.0       NaN       NaN       3.0   \n",
       "2                 NaN       NaN       5.0       NaN       NaN       1.0   \n",
       "3                 NaN       4.0       1.0       NaN       NaN       5.0   \n",
       "4                 NaN       NaN       3.0       1.0       NaN       4.0   \n",
       "\n",
       "customer_id  94585085  94588128  94597887  94599009  94599685  94601019  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       2.0       NaN       NaN       2.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "4                 NaN       NaN       NaN       1.0       1.0       NaN   \n",
       "\n",
       "customer_id  94603349  94618839  94619955  94622028  94632271  94651527  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       1.0       NaN       2.0   \n",
       "1                 NaN       NaN       NaN       1.0       1.0       1.0   \n",
       "2                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "4                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  94653578  94654195  94654972  94658132  94668608  94671654  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       3.0       1.0       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       3.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 1.0       NaN       2.0       NaN       3.0       NaN   \n",
       "\n",
       "customer_id  94680386  94690276  94693120  94698767  94702439  94717028  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       3.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       2.0       1.0       1.0   \n",
       "4                 NaN       NaN       NaN       1.0       NaN       2.0   \n",
       "\n",
       "customer_id  94724607  94725495  94734120  94747849  94748565  94750550  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       2.0       NaN       2.0       NaN       NaN   \n",
       "2                 NaN       1.0       NaN       4.0       NaN       NaN   \n",
       "3                 NaN       1.0       NaN       2.0       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  94751380  94754447  94756196  94761433  94765793  94775644  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       2.0       9.0       1.0       NaN       NaN   \n",
       "1                 3.0       3.0       5.0       NaN       NaN       NaN   \n",
       "2                 8.0       NaN      10.0       NaN       NaN       NaN   \n",
       "3                 1.0       NaN       2.0       1.0       NaN       NaN   \n",
       "4                 1.0       7.0       2.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  94781153  94785696  94793384  94799202  94803765  94808966  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "1                 7.0       NaN       NaN       2.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 1.0       NaN       NaN       1.0       5.0       NaN   \n",
       "4                 1.0       NaN       NaN       NaN       4.0       NaN   \n",
       "\n",
       "customer_id  94815715  94820148  94822605  94826464  94845190  94846611  \\\n",
       "num_day                                                                   \n",
       "0                 5.0       NaN       2.0       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       3.0       NaN       NaN       NaN   \n",
       "2                 3.0       NaN      11.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN      23.0       NaN       NaN       NaN   \n",
       "4                 3.0       NaN      10.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  94848009  94849312  94852692  94864243  94873813  94883274  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       6.0       3.0       NaN       2.0       1.0   \n",
       "1                 NaN       3.0       5.0       NaN       2.0       5.0   \n",
       "2                 NaN       2.0       3.0       NaN       4.0       6.0   \n",
       "3                 NaN       NaN       1.0       NaN       3.0       2.0   \n",
       "4                 NaN       NaN       3.0       NaN       3.0       2.0   \n",
       "\n",
       "customer_id  94883995  94885326  94885774  94887386  94894701  94899216  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "1                 5.0       NaN       NaN       NaN       1.0       NaN   \n",
       "2                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "4                 NaN       4.0       NaN       NaN       1.0       1.0   \n",
       "\n",
       "customer_id  94903682  94904824  94913380  94918561  94925004  94925644  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  94926357  94933997  94934934  94939343  94946230  94948218  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       3.0       2.0       NaN       NaN   \n",
       "1                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 1.0       NaN       NaN       NaN       1.0       NaN   \n",
       "3                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       1.0       NaN       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  94960306  94962020  94968016  94969511  94982732  94983152  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "1                 NaN       1.0       2.0       1.0       NaN       NaN   \n",
       "2                 NaN       1.0       1.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       3.0       NaN       NaN   \n",
       "\n",
       "customer_id  94986039  94996148  94999085  95005455  95014754  95015222  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       3.0       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "4                 NaN       2.0       NaN       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  95016087  95017477  95019073  95020322  95022855  95032259  \\\n",
       "num_day                                                                   \n",
       "0                 3.0       NaN       2.0       2.0       2.0       NaN   \n",
       "1                 1.0       NaN       1.0       NaN       NaN       NaN   \n",
       "2                 9.0       NaN       NaN       NaN       NaN       1.0   \n",
       "3                 6.0       NaN       1.0       NaN       NaN       NaN   \n",
       "4                 4.0       1.0       1.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  95033943  95035858  95038861  95044232  95046694  95047101  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       1.0       NaN       4.0   \n",
       "1                 2.0       1.0       NaN       NaN       2.0       NaN   \n",
       "2                 5.0       1.0       NaN       NaN       NaN       1.0   \n",
       "3                 NaN       1.0       3.0       NaN       1.0       2.0   \n",
       "4                 NaN       NaN       NaN       NaN       2.0       2.0   \n",
       "\n",
       "customer_id  95049233  95051059  95055476  95065294  95071817  95074221  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       7.0   \n",
       "1                 NaN       NaN       1.0       NaN       NaN       4.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       3.0   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       6.0   \n",
       "\n",
       "customer_id  95074297  95076465  95088517  95096481  95099518  95108573  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "3                 NaN       NaN       2.0       1.0       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  95110266  95115678  95115712  95127980  95128126  95132309  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       1.0       NaN       2.0   \n",
       "1                 NaN       NaN       2.0       NaN       1.0       1.0   \n",
       "2                 NaN       NaN       4.0       NaN       1.0       NaN   \n",
       "3                 NaN       NaN       1.0       1.0       NaN       NaN   \n",
       "4                 NaN       NaN       2.0       3.0       2.0       3.0   \n",
       "\n",
       "customer_id  95136516  95142990  95150782  95154029  95160511  95161467  \\\n",
       "num_day                                                                   \n",
       "0                 NaN      21.0       1.0       3.0       NaN       NaN   \n",
       "1                 NaN       9.0       NaN       1.0       NaN       NaN   \n",
       "2                 NaN       1.0       2.0       NaN       NaN       1.0   \n",
       "3                 NaN      11.0       1.0       NaN       NaN       NaN   \n",
       "4                 NaN       3.0       1.0       NaN       NaN       2.0   \n",
       "\n",
       "customer_id  95162940  95175801  95178313  95181935  95202077  95204601  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       5.0       NaN       NaN       NaN       NaN   \n",
       "1                 2.0       2.0       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       3.0       2.0       NaN       NaN       NaN   \n",
       "3                 NaN       1.0       1.0       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "\n",
       "customer_id  95205845  95213230  95230476  95242792  95269128  95280153  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       6.0       3.0       NaN   \n",
       "1                 5.0       NaN       NaN      11.0       2.0       NaN   \n",
       "2                 NaN       3.0       NaN       4.0       2.0       NaN   \n",
       "3                 2.0       1.0       NaN       4.0       4.0       NaN   \n",
       "4                 2.0       NaN       NaN       6.0       2.0       NaN   \n",
       "\n",
       "customer_id  95281518  95297546  95303296  95312022  95321345  95324294  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       2.0       3.0       1.0       2.0   \n",
       "1                 NaN       NaN       4.0       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       4.0       NaN       1.0       2.0   \n",
       "4                 NaN       1.0       NaN       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  95335790  95362950  95384828  95389071  95390382  95392284  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       1.0       NaN       NaN       NaN       1.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       3.0   \n",
       "3                 1.0       NaN       NaN       NaN       NaN       1.0   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  95394912  95396762  95416220  95428946  95433120  95435661  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       NaN       1.0       NaN   \n",
       "1                 NaN       NaN       1.0       NaN       4.0       NaN   \n",
       "2                 1.0       NaN       1.0       NaN       NaN       NaN   \n",
       "3                 NaN       2.0       NaN       NaN       2.0       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "\n",
       "customer_id  95452501  95459686  95460765  95475172  95481247  95483363  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       1.0       NaN       NaN       2.0       NaN   \n",
       "1                 1.0       2.0       1.0       1.0       1.0       NaN   \n",
       "2                 3.0       1.0       NaN       NaN       2.0       NaN   \n",
       "3                 1.0       1.0       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       2.0       NaN       2.0       2.0       NaN   \n",
       "\n",
       "customer_id  95490909  95497852  95514822  95514985  95517287  95519854  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       2.0       NaN       3.0       NaN       NaN   \n",
       "1                 NaN       1.0       NaN       3.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       4.0       NaN       NaN   \n",
       "3                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       4.0       NaN       8.0       NaN       NaN   \n",
       "\n",
       "customer_id  95522133  95543007  95553341  95560887  95600625  95602389  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       3.0       NaN       NaN       1.0   \n",
       "1                 NaN       NaN       1.0       NaN       1.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       3.0       NaN   \n",
       "3                 NaN       NaN       1.0       1.0       NaN       1.0   \n",
       "4                 NaN       1.0       4.0       1.0       1.0       2.0   \n",
       "\n",
       "customer_id  95606586  95607690  95621309  95623488  95635714  95647900  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       NaN       5.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 3.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       3.0       NaN       NaN       2.0       NaN   \n",
       "4                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  95658180  95682784  95687369  95688478  95696045  95705188  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       3.0       NaN       NaN       NaN   \n",
       "1                 NaN       1.0       NaN       NaN       NaN       1.0   \n",
       "2                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "3                 NaN       2.0       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       2.0       3.0       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  95721840  95723152  95724637  95731809  95740089  95747928  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       1.0       NaN       NaN       NaN       1.0   \n",
       "3                 NaN       2.0       NaN       NaN       NaN       1.0   \n",
       "4                 2.0       6.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  95748592  95750568  95751931  95752671  95752823  95754410  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "1                 NaN       1.0       1.0       NaN       NaN       NaN   \n",
       "2                 NaN       1.0       2.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       4.0       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       2.0       NaN       NaN       2.0   \n",
       "\n",
       "customer_id  95779125  95782907  95787259  95791843  95796340  95801693  \\\n",
       "num_day                                                                   \n",
       "0                 4.0       1.0       3.0       1.0       1.0       NaN   \n",
       "1                 1.0       1.0       2.0       NaN       2.0       NaN   \n",
       "2                 1.0       2.0       NaN       NaN       5.0       NaN   \n",
       "3                 3.0       NaN       3.0       NaN       NaN       NaN   \n",
       "4                 3.0       1.0       3.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  95803225  95812175  95815406  95828906  95833087  95852599  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       3.0       1.0       2.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "4                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "\n",
       "customer_id  95854057  95861431  95871708  95872489  95873844  95888024  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       1.0       NaN       6.0       1.0   \n",
       "2                 NaN       2.0       2.0       NaN       NaN       NaN   \n",
       "3                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  95889057  95890287  95891468  95895478  95905538  95907556  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 1.0       2.0       NaN       NaN       NaN       NaN   \n",
       "2                 1.0       1.0       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  95908088  95909249  95918198  95921679  95933361  95933705  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       1.0       NaN       NaN   \n",
       "1                 1.0       NaN       NaN       2.0       NaN       1.0   \n",
       "2                 NaN       5.0       NaN       2.0       NaN       2.0   \n",
       "3                 1.0       NaN       NaN       1.0       4.0       NaN   \n",
       "4                 NaN       NaN       NaN       1.0       5.0       NaN   \n",
       "\n",
       "customer_id  95942495  95953841  95954140  95960373  95965185  95978439  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "1                 NaN       NaN       4.0       NaN       NaN       2.0   \n",
       "2                 NaN       NaN       7.0       NaN       NaN       4.0   \n",
       "3                 NaN       NaN       9.0       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       7.0       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  95990549  95996031  95999722  96009223  96014871  96015043  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       3.0       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       1.0       1.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  96016945  96050224  96051203  96057039  96062802  96063064  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       3.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       1.0       1.0       NaN   \n",
       "2                 NaN       1.0       NaN       NaN       2.0       NaN   \n",
       "3                 NaN       NaN       NaN       2.0       2.0       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "\n",
       "customer_id  96064320  96064810  96066506  96083218  96088836  96089073  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       1.0       NaN       1.0   \n",
       "1                 2.0       NaN       NaN       1.0       NaN       5.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       4.0   \n",
       "4                 2.0       NaN       NaN       NaN       NaN       2.0   \n",
       "\n",
       "customer_id  96091345  96099177  96118953  96131268  96138803  96150651  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       5.0   \n",
       "1                 2.0       NaN       NaN       NaN       NaN       3.0   \n",
       "2                 1.0       1.0       NaN       NaN       NaN       6.0   \n",
       "3                 1.0       1.0       NaN       NaN       NaN       2.0   \n",
       "4                 NaN       1.0       NaN       NaN       NaN       6.0   \n",
       "\n",
       "customer_id  96151095  96174415  96176950  96189210  96197691  96198451  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       2.0       NaN       NaN       NaN       2.0   \n",
       "1                 NaN       6.0       1.0       NaN       NaN       1.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       3.0   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  96203488  96212196  96217967  96223252  96225247  96225304  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       1.0       NaN       NaN       1.0   \n",
       "1                 1.0       NaN       NaN       NaN       NaN       1.0   \n",
       "2                 1.0       NaN       NaN       NaN       NaN       1.0   \n",
       "3                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 2.0       NaN       1.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  96237837  96237960  96245965  96249591  96257179  96258144  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       3.0       NaN       1.0       NaN   \n",
       "1                 NaN       3.0       NaN       NaN       1.0       NaN   \n",
       "2                 1.0       1.0       NaN       6.0       NaN       NaN   \n",
       "3                 1.0       1.0       NaN       1.0       1.0       NaN   \n",
       "4                 NaN       1.0       NaN       1.0       2.0       NaN   \n",
       "\n",
       "customer_id  96259175  96267319  96274348  96275300  96275671  96275770  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  96279007  96280753  96296215  96297127  96303321  96305302  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       NaN       1.0       NaN   \n",
       "1                 NaN       NaN       4.0       NaN       1.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       2.0       NaN       1.0       NaN   \n",
       "4                 NaN       NaN       4.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  96319425  96325605  96328771  96330456  96344869  96345516  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "1                 2.0       NaN       NaN       NaN       NaN       1.0   \n",
       "2                 5.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 7.0       NaN       NaN       2.0       NaN       1.0   \n",
       "\n",
       "customer_id  96345792  96353147  96358534  96360944  96367039  96367202  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       2.0       1.0       1.0       3.0       NaN   \n",
       "1                 NaN       4.0       2.0       1.0       2.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "3                 1.0       3.0       1.0       1.0       1.0       NaN   \n",
       "4                 NaN       1.0       1.0       NaN       5.0       NaN   \n",
       "\n",
       "customer_id  96372458  96380771  96383408  96398263  96438067  96439369  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "4                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  96447294  96458290  96468329  96470094  96471458  96477182  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       3.0       NaN       3.0   \n",
       "4                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  96482107  96486076  96490465  96495568  96496203  96501153  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       4.0   \n",
       "1                 1.0       NaN       1.0       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       1.0       NaN       NaN       1.0   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       4.0   \n",
       "\n",
       "customer_id  96503820  96511163  96513118  96541740  96542499  96548039  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       4.0       NaN       NaN       NaN       1.0   \n",
       "1                 NaN       2.0       NaN       NaN       1.0       NaN   \n",
       "2                 NaN       1.0       NaN       NaN       2.0       NaN   \n",
       "3                 NaN       2.0       NaN       NaN       NaN       1.0   \n",
       "4                 1.0       1.0       2.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  96548394  96554723  96557810  96567084  96571821  96574694  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "1                 2.0       NaN       NaN       NaN       1.0       NaN   \n",
       "2                 3.0       NaN       NaN       NaN       4.0       NaN   \n",
       "3                 1.0       NaN       NaN       NaN       1.0       NaN   \n",
       "4                 NaN       NaN       4.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  96575251  96580939  96581439  96621653  96622946  96626493  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       1.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 4.0       NaN       NaN       1.0       NaN       NaN   \n",
       "3                 5.0       2.0       NaN       2.0       NaN       NaN   \n",
       "4                 1.0       1.0       NaN       2.0       NaN       NaN   \n",
       "\n",
       "customer_id  96631712  96637590  96638154  96643604  96649358  96650105  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       NaN       1.0       1.0   \n",
       "1                 NaN       NaN       NaN       3.0       1.0       1.0   \n",
       "2                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 4.0       NaN       NaN       NaN       1.0       NaN   \n",
       "4                 NaN       3.0       NaN       2.0       3.0       NaN   \n",
       "\n",
       "customer_id  96651881  96655243  96661157  96666345  96669381  96675064  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       3.0       NaN       NaN       2.0       NaN   \n",
       "1                 NaN       4.0       NaN       NaN       NaN       NaN   \n",
       "2                 2.0       3.0       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       3.0       3.0       NaN       NaN       NaN   \n",
       "4                 1.0       4.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  96692116  96699770  96706392  96715995  96717383  96725385  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       NaN       5.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "2                 1.0       NaN       NaN       NaN       3.0       NaN   \n",
       "3                 1.0       NaN       NaN       NaN       1.0       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  96730312  96730687  96734400  96750247  96751727  96755245  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       NaN       NaN       4.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       5.0   \n",
       "2                 NaN       NaN       1.0       NaN       NaN       2.0   \n",
       "3                 1.0       4.0       NaN       2.0       NaN       3.0   \n",
       "4                 NaN       4.0       NaN       1.0       NaN       1.0   \n",
       "\n",
       "customer_id  96760947  96761685  96780413  96785104  96793902  96814440  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       5.0       NaN       2.0       NaN       NaN   \n",
       "1                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 1.0       NaN       NaN       1.0       NaN       NaN   \n",
       "3                 NaN       3.0       NaN       1.0       NaN       NaN   \n",
       "4                 NaN       4.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  96819546  96821552  96824387  96828410  96829475  96830612  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       1.0       NaN       NaN       2.0   \n",
       "1                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "3                 1.0       NaN       2.0       NaN       NaN       2.0   \n",
       "4                 2.0       NaN       NaN       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  96831191  96833464  96834905  96848105  96862534  96866054  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  96867679  96882783  96889493  96907636  96913237  96915138  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       3.0   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  96915451  96933345  96934809  96937355  96947994  96955120  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "1                 3.0       1.0       NaN       NaN       NaN       1.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  96956522  96966926  96967129  96975786  96985665  96989631  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       1.0       NaN       9.0       NaN       NaN   \n",
       "1                 NaN       NaN       1.0       3.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       5.0       NaN       1.0   \n",
       "3                 NaN       NaN       NaN       3.0       NaN       1.0   \n",
       "4                 NaN       NaN       1.0       2.0       NaN       NaN   \n",
       "\n",
       "customer_id  96991635  96995832  96998453  97000540  97000670  97001312  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "1                 NaN       1.0       NaN       NaN       NaN       3.0   \n",
       "2                 NaN       2.0       NaN       1.0       NaN       2.0   \n",
       "3                 NaN       2.0       NaN       NaN       NaN       3.0   \n",
       "4                 NaN       2.0       NaN       3.0       NaN       3.0   \n",
       "\n",
       "customer_id  97017346  97040719  97047880  97051329  97068969  97071507  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "2                 1.0       2.0       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 1.0       3.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  97076546  97077599  97084564  97087179  97088859  97090468  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       3.0       NaN       1.0       1.0   \n",
       "2                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  97098016  97102876  97103193  97160817  97162773  97167196  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       NaN       4.0       4.0       NaN   \n",
       "1                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "3                 2.0       NaN       NaN       1.0      11.0       NaN   \n",
       "4                 NaN       NaN       NaN       1.0       1.0       NaN   \n",
       "\n",
       "customer_id  97167287  97168481  97169970  97170864  97175105  97184762  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "1                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       2.0       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "4                 NaN       2.0       NaN       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  97187090  97187801  97195495  97204638  97221648  97231090  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  97232810  97236127  97246642  97247338  97254467  97254884  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       2.0       1.0       1.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 3.0       1.0       2.0       NaN       NaN       NaN   \n",
       "3                 2.0       3.0       1.0       NaN       NaN       1.0   \n",
       "4                 3.0       NaN       NaN       1.0       NaN       2.0   \n",
       "\n",
       "customer_id  97262944  97297666  97298691  97301558  97302250  97330461  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       1.0       NaN       3.0   \n",
       "1                 NaN       NaN       NaN       3.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       3.0       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "\n",
       "customer_id  97343828  97345452  97348711  97351339  97359689  97376938  \\\n",
       "num_day                                                                   \n",
       "0                 3.0       NaN       NaN       NaN       3.0       NaN   \n",
       "1                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "3                 NaN       NaN       NaN       1.0       2.0       NaN   \n",
       "4                 1.0       NaN       1.0       4.0       2.0       NaN   \n",
       "\n",
       "customer_id  97409356  97413399  97442926  97470709  97474899  97477397  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "1                 NaN       2.0       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "4                 NaN       2.0       NaN       NaN       2.0       NaN   \n",
       "\n",
       "customer_id  97501965  97502266  97502932  97513388  97513532  97513780  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN      12.0       NaN       NaN       2.0   \n",
       "1                 NaN       NaN       3.0       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "3                 NaN       NaN       3.0       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       5.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  97514276  97517538  97528284  97534328  97542198  97556299  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       2.0       NaN       NaN       1.0       NaN   \n",
       "1                 1.0       NaN       NaN       NaN       1.0       2.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 1.0       1.0       NaN       NaN       1.0       1.0   \n",
       "4                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  97566920  97567417  97574052  97578903  97585827  97586387  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       2.0       3.0       NaN   \n",
       "1                 NaN       NaN       NaN       1.0       1.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "3                 2.0       NaN       NaN       NaN       2.0       NaN   \n",
       "4                 NaN       NaN       NaN       1.0       1.0       NaN   \n",
       "\n",
       "customer_id  97586875  97599541  97619321  97623546  97631536  97631974  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       3.0       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       3.0       NaN       NaN       NaN       1.0   \n",
       "2                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "\n",
       "customer_id  97634522  97645998  97662652  97666258  97671163  97672162  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       1.0       1.0       NaN       2.0   \n",
       "1                 3.0       NaN       NaN       1.0       NaN       1.0   \n",
       "2                 NaN       NaN       1.0       1.0       NaN       NaN   \n",
       "3                 NaN       NaN       3.0       NaN       NaN       NaN   \n",
       "4                 1.0       NaN       3.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  97676287  97680269  97687262  97698959  97715009  97720531  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       1.0       NaN       1.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "2                 4.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 3.0       NaN       NaN       1.0       NaN       NaN   \n",
       "4                 6.0       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  97725541  97738611  97740786  97742695  97744456  97753724  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  97754568  97767998  97768820  97777635  97785840  97799588  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       3.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "2                 NaN       NaN       NaN       3.0       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       4.0       NaN       NaN   \n",
       "\n",
       "customer_id  97803699  97811444  97814357  97816608  97818506  97821577  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       5.0       NaN       NaN       NaN   \n",
       "1                 NaN       2.0       1.0       NaN       NaN       NaN   \n",
       "2                 1.0       NaN       NaN       NaN       NaN       1.0   \n",
       "3                 2.0       4.0       4.0       NaN       NaN       NaN   \n",
       "4                 2.0       1.0       4.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  97821953  97822001  97823161  97837122  97869349  97872286  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       NaN       1.0       NaN       2.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "2                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       5.0       NaN       NaN   \n",
       "4                 4.0       NaN       NaN       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  97885663  97886931  97892387  97912435  97913958  97917024  \\\n",
       "num_day                                                                   \n",
       "0                 3.0       NaN       NaN       NaN       2.0       NaN   \n",
       "1                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "2                 2.0       NaN       NaN       NaN       2.0       NaN   \n",
       "3                 NaN       1.0       NaN       NaN       4.0       NaN   \n",
       "4                 3.0       NaN       NaN       NaN       4.0       NaN   \n",
       "\n",
       "customer_id  97920990  97921609  97938106  97939304  97954177  97958366  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       1.0       NaN       NaN       NaN   \n",
       "1                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 2.0       NaN       NaN       2.0       NaN       NaN   \n",
       "\n",
       "customer_id  97963238  97967511  97968421  97979839  97986854  97993598  \\\n",
       "num_day                                                                   \n",
       "0                 3.0       4.0       NaN       NaN       2.0       1.0   \n",
       "1                 2.0       NaN       NaN       NaN       2.0       1.0   \n",
       "2                 4.0       2.0       NaN       NaN       NaN       NaN   \n",
       "3                 2.0       NaN       NaN       NaN       1.0       NaN   \n",
       "4                 3.0       NaN       NaN       NaN       2.0       NaN   \n",
       "\n",
       "customer_id  97994480  98005968  98012854  98013568  98013779  98015096  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       NaN       2.0       4.0   \n",
       "1                 NaN       1.0       4.0       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       2.0       NaN       3.0       NaN   \n",
       "3                 NaN       3.0       2.0       1.0       1.0       2.0   \n",
       "4                 5.0       NaN       4.0       2.0       3.0       NaN   \n",
       "\n",
       "customer_id  98015435  98028774  98043204  98044201  98047150  98069246  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       1.0       1.0       NaN   \n",
       "1                 NaN       NaN       NaN       1.0       1.0       2.0   \n",
       "2                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "3                 2.0       2.0       NaN       2.0       1.0       2.0   \n",
       "4                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  98078016  98081021  98115186  98115494  98127642  98130398  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       NaN       2.0       1.0       NaN   \n",
       "1                 NaN       NaN       2.0       NaN       NaN       4.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "3                 NaN       NaN       NaN       1.0       NaN       3.0   \n",
       "4                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  98137482  98143403  98146967  98151823  98153083  98153319  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       1.0       NaN       NaN       1.0       6.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "2                 4.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 2.0       NaN       NaN       NaN       NaN       2.0   \n",
       "4                 3.0       NaN       2.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  98165114  98165656  98168552  98174056  98178300  98181406  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       1.0       3.0       NaN       2.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 1.0       NaN       1.0       NaN       NaN       NaN   \n",
       "3                 NaN       3.0       NaN       NaN       NaN       NaN   \n",
       "4                 1.0       NaN       NaN       NaN       5.0       NaN   \n",
       "\n",
       "customer_id  98183206  98205722  98214863  98215373  98215795  98222191  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       5.0       3.0       1.0       1.0       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       1.0       1.0       NaN       1.0       NaN   \n",
       "3                 NaN       3.0       1.0       NaN       NaN       NaN   \n",
       "4                 NaN       7.0       3.0       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  98223005  98225738  98228698  98230530  98247285  98252174  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       4.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "3                 NaN       1.0       NaN       1.0       NaN       1.0   \n",
       "4                 NaN       NaN       NaN       9.0       NaN       NaN   \n",
       "\n",
       "customer_id  98255844  98258022  98259659  98264927  98273636  98276580  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       1.0       1.0       NaN       1.0   \n",
       "1                 2.0       NaN       NaN       1.0       NaN       1.0   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 1.0       1.0       2.0       2.0       NaN       5.0   \n",
       "4                 NaN       NaN       1.0       1.0       NaN       2.0   \n",
       "\n",
       "customer_id  98281239  98282423  98283387  98299132  98301999  98313092  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       4.0       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       1.0       2.0       3.0       NaN       NaN   \n",
       "2                 NaN       4.0       NaN       1.0       NaN       NaN   \n",
       "3                 NaN       2.0       NaN       1.0       NaN       1.0   \n",
       "4                 NaN       1.0       1.0       1.0       NaN       1.0   \n",
       "\n",
       "customer_id  98326437  98329283  98330637  98331257  98357840  98359180  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  98362353  98371903  98373084  98373939  98379265  98382788  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       5.0       NaN       NaN       NaN       NaN   \n",
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       "2                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       3.0       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  98397399  98404097  98404918  98408171  98410081  98415152  \\\n",
       "num_day                                                                   \n",
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       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 2.0       NaN       1.0       NaN       NaN       NaN   \n",
       "4                 2.0       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  98430195  98432201  98434538  98438095  98441103  98446132  \\\n",
       "num_day                                                                   \n",
       "0                 5.0       1.0       NaN       NaN       1.0       NaN   \n",
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       "2                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "3                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "4                 7.0       1.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  98455054  98455704  98457709  98465384  98469940  98481661  \\\n",
       "num_day                                                                   \n",
       "0                 2.0       NaN       3.0       NaN       1.0       NaN   \n",
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       "2                 NaN       NaN       NaN       NaN       3.0       NaN   \n",
       "3                 NaN       NaN       1.0       NaN       1.0       NaN   \n",
       "4                 1.0       1.0       7.0       NaN       7.0       NaN   \n",
       "\n",
       "customer_id  98486569  98488344  98506725  98507645  98513618  98514293  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       1.0       NaN       NaN       NaN   \n",
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       "3                 NaN       1.0       1.0       NaN       2.0       NaN   \n",
       "4                 NaN       1.0       2.0       1.0       1.0       NaN   \n",
       "\n",
       "customer_id  98518962  98524751  98555710  98578475  98585990  98592314  \\\n",
       "num_day                                                                   \n",
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       "3                 1.0       NaN       NaN       NaN       NaN       6.0   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       5.0   \n",
       "\n",
       "customer_id  98597524  98602458  98602832  98605442  98606572  98612933  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       1.0       2.0   \n",
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       "2                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "4                 NaN       1.0       NaN       NaN       2.0       NaN   \n",
       "\n",
       "customer_id  98614981  98640445  98641168  98647005  98672611  98674425  \\\n",
       "num_day                                                                   \n",
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       "3                 NaN       NaN       NaN       1.0       1.0       1.0   \n",
       "4                 NaN       NaN       NaN       3.0       1.0       1.0   \n",
       "\n",
       "customer_id  98676889  98687107  98687585  98702494  98704281  98710498  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  98711881  98717821  98727590  98727667  98736120  98737987  \\\n",
       "num_day                                                                   \n",
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       "3                 2.0       NaN       1.0       NaN       2.0       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "\n",
       "customer_id  98738068  98743588  98751581  98751596  98762469  98767924  \\\n",
       "num_day                                                                   \n",
       "0                11.0       1.0       NaN       NaN       NaN       1.0   \n",
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       "2                 1.0       NaN       1.0       NaN       NaN       NaN   \n",
       "3                 4.0       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 8.0       NaN       2.0       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  98770246  98795310  98800312  98801178  98804574  98809072  \\\n",
       "num_day                                                                   \n",
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       "2                 NaN       NaN       NaN       2.0       4.0       NaN   \n",
       "3                 NaN       NaN       NaN       2.0       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       3.0       NaN   \n",
       "\n",
       "customer_id  98814674  98827945  98860154  98860494  98861163  98868251  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       1.0       NaN       1.0       NaN   \n",
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       "2                 NaN       1.0       NaN       NaN       1.0       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "4                 NaN       1.0       1.0       NaN       1.0       NaN   \n",
       "\n",
       "customer_id  98871207  98882512  98891307  98901610  98903568  98918648  \\\n",
       "num_day                                                                   \n",
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       "3                 NaN       NaN       NaN       1.0       NaN       6.0   \n",
       "4                 NaN       NaN       NaN       NaN       1.0       6.0   \n",
       "\n",
       "customer_id  98918956  98937245  98940105  98949813  98960303  98960635  \\\n",
       "num_day                                                                   \n",
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       "2                 NaN       NaN       NaN       NaN       NaN       3.0   \n",
       "3                 5.0       NaN       NaN       NaN       NaN       1.0   \n",
       "4                 2.0       NaN       NaN       NaN       3.0      10.0   \n",
       "\n",
       "customer_id  98963859  98969269  98976404  98991212  98995299  98998782  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
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       "2                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       1.0       NaN       1.0       NaN       2.0   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  99008296  99014776  99024172  99034437  99041905  99046294  \\\n",
       "num_day                                                                   \n",
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       "3                 NaN       2.0       3.0       NaN       NaN       6.0   \n",
       "4                 NaN       1.0       NaN       NaN       NaN       4.0   \n",
       "\n",
       "customer_id  99048480  99063716  99069308  99074102  99074250  99080708  \\\n",
       "num_day                                                                   \n",
       "0                10.0       NaN       NaN       NaN       NaN       1.0   \n",
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       "2                10.0       NaN       NaN       6.0       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       5.0       2.0       NaN   \n",
       "4                 1.0       NaN       NaN       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  99085258  99089758  99094186  99100618  99102528  99136122  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
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       "3                 NaN       NaN       1.0       NaN       NaN       2.0   \n",
       "4                 NaN       1.0       NaN       3.0       NaN       NaN   \n",
       "\n",
       "customer_id  99140726  99141554  99149408  99157306  99157874  99159420  \\\n",
       "num_day                                                                   \n",
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       "3                 NaN       NaN       3.0       NaN       NaN       NaN   \n",
       "4                 NaN       1.0       4.0       2.0       NaN       2.0   \n",
       "\n",
       "customer_id  99159786  99160936  99165645  99172426  99177185  99194934  \\\n",
       "num_day                                                                   \n",
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       "3                 NaN       4.0       NaN       NaN       6.0       NaN   \n",
       "4                 NaN       1.0       NaN       NaN       NaN       3.0   \n",
       "\n",
       "customer_id  99195512  99199448  99201267  99206692  99214483  99217405  \\\n",
       "num_day                                                                   \n",
       "0                 4.0       NaN       1.0       NaN       3.0       NaN   \n",
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       "2                 NaN       4.0       1.0       NaN       2.0       NaN   \n",
       "3                 NaN       2.0       2.0       NaN       NaN       NaN   \n",
       "4                 2.0       NaN       1.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  99220694  99225265  99230639  99241296  99254041  99257244  \\\n",
       "num_day                                                                   \n",
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       "2                 NaN       NaN       6.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       1.0       NaN       NaN       1.0   \n",
       "4                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  99266697  99267661  99285854  99289665  99295997  99302313  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       2.0       2.0       NaN       NaN   \n",
       "1                 2.0       NaN       2.0       1.0       1.0       2.0   \n",
       "2                 NaN       NaN       NaN       3.0       3.0       NaN   \n",
       "3                 NaN       NaN       2.0       4.0       4.0       NaN   \n",
       "4                 1.0       NaN       NaN       1.0       NaN       NaN   \n",
       "\n",
       "customer_id  99305752  99315139  99316792  99325652  99331069  99331995  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       2.0       1.0       NaN       NaN       NaN   \n",
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       "2                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "3                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       7.0       1.0       NaN       1.0       1.0   \n",
       "\n",
       "customer_id  99336283  99345992  99352981  99367057  99383287  99387107  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       1.0       NaN       NaN       1.0   \n",
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       "3                 NaN       NaN       1.0       4.0       NaN       NaN   \n",
       "4                 1.0       1.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  99388499  99401292  99412328  99414663  99415717  99418967  \\\n",
       "num_day                                                                   \n",
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       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 4.0       1.0       NaN       1.0       NaN       1.0   \n",
       "\n",
       "customer_id  99421915  99431667  99442647  99451669  99452850  99468407  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       3.0       NaN       1.0       NaN   \n",
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       "2                 NaN       NaN       3.0       NaN       1.0       3.0   \n",
       "3                 NaN       4.0       1.0       NaN       NaN       2.0   \n",
       "4                 NaN       1.0       NaN       NaN       1.0       2.0   \n",
       "\n",
       "customer_id  99472961  99483281  99486577  99490958  99493161  99501206  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       2.0       NaN       NaN       NaN       NaN   \n",
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       "2                 NaN       NaN       1.0       NaN       NaN       1.0   \n",
       "3                 1.0       1.0       2.0       NaN       NaN       1.0   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  99501605  99506272  99516727  99537776  99538589  99539782  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       1.0       5.0       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "3                 1.0       1.0       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       1.0       1.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  99540926  99544631  99548823  99563406  99563845  99568688  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       1.0       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "4                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  99568707  99577519  99581668  99583528  99585323  99590294  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       2.0   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       1.0   \n",
       "2                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       3.0       2.0   \n",
       "4                 1.0       NaN       NaN       NaN       3.0       1.0   \n",
       "\n",
       "customer_id  99596323  99603465  99606031  99612816  99613276  99622409  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       3.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  99623433  99625927  99638467  99643686  99652208  99673663  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       4.0       NaN       NaN       NaN       5.0   \n",
       "1                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "2                 1.0       NaN       NaN       2.0       NaN       NaN   \n",
       "3                 NaN       1.0       NaN       3.0       NaN       3.0   \n",
       "4                 2.0       2.0       NaN       1.0       NaN       1.0   \n",
       "\n",
       "customer_id  99678028  99683064  99692933  99699527  99713467  99717689  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       5.0       NaN       4.0       NaN       4.0   \n",
       "1                 2.0       NaN       NaN       2.0       NaN       2.0   \n",
       "2                 1.0       4.0       NaN       NaN       1.0       NaN   \n",
       "3                 8.0       NaN       NaN       2.0       2.0       2.0   \n",
       "4                 3.0       3.0       NaN       2.0       NaN       1.0   \n",
       "\n",
       "customer_id  99725094  99729098  99751100  99770379  99770777  99771592  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       1.0       NaN       3.0       1.0   \n",
       "1                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "2                 NaN       NaN       NaN       NaN       2.0       NaN   \n",
       "3                 NaN       NaN       NaN       3.0       3.0       NaN   \n",
       "4                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  99785861  99787257  99789834  99800531  99804009  99807439  \\\n",
       "num_day                                                                   \n",
       "0                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 3.0       NaN       1.0       NaN       NaN       NaN   \n",
       "2                 6.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       NaN       NaN       1.0       NaN   \n",
       "4                 1.0       NaN       2.0       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  99815733  99834424  99836889  99848367  99849205  99849278  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       3.0       NaN       NaN       NaN       2.0   \n",
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       "2                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       1.0       NaN       NaN       NaN       NaN   \n",
       "4                 NaN       2.0       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  99859464  99864691  99876778  99877835  99882949  99888537  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       4.0       NaN       1.0       NaN   \n",
       "1                 NaN       NaN       2.0       3.0       NaN       NaN   \n",
       "2                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "customer_id  99900908  99911226  99915912  99917144  99918216  99933081  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       2.0       NaN       NaN       NaN       NaN   \n",
       "1                 NaN       NaN       1.0       NaN       NaN       1.0   \n",
       "2                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       2.0       NaN       NaN       NaN   \n",
       "4                 NaN       NaN       4.0       3.0       NaN       NaN   \n",
       "\n",
       "customer_id  99938948  99953525  99963907  99967537  99969946  99977292  \\\n",
       "num_day                                                                   \n",
       "0                 NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1                 1.0       NaN       2.0       NaN       NaN       NaN   \n",
       "2                 1.0       NaN       NaN       NaN       NaN       NaN   \n",
       "3                 NaN       NaN       1.0       NaN       NaN       NaN   \n",
       "4                 4.0       NaN       NaN       NaN       2.0       NaN   \n",
       "\n",
       "customer_id  99980396  99984336  99985917  99988578  99991245  99999680  \n",
       "num_day                                                                  \n",
       "0                 1.0       NaN       NaN       NaN       NaN       4.0  \n",
       "1                 NaN       NaN       NaN       NaN       NaN       NaN  \n",
       "2                 3.0       NaN       NaN       NaN       NaN       NaN  \n",
       "3                 1.0       NaN       NaN       NaN       NaN       1.0  \n",
       "4                 2.0       NaN       NaN       NaN       1.0       NaN  "
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     "execution_count": 68,
     "metadata": {},
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  {
   "cell_type": "code",
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   "source": []
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  {
   "cell_type": "code",
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   "outputs": [
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       "      <th></th>\n",
       "      <th>customer_id</th>\n",
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       "      <th>hour</th>\n",
       "      <th>minute</th>\n",
       "      <th>second</th>\n",
       "      <th>dayofweek</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>57808</th>\n",
       "      <td>69942970</td>\n",
       "      <td>5661</td>\n",
       "      <td>1110</td>\n",
       "      <td>-5794.46</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>20:28:55</td>\n",
       "      <td>20</td>\n",
       "      <td>28</td>\n",
       "      <td>55</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57809</th>\n",
       "      <td>69942970</td>\n",
       "      <td>5311</td>\n",
       "      <td>1110</td>\n",
       "      <td>-130263.11</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>21:08:18</td>\n",
       "      <td>21</td>\n",
       "      <td>8</td>\n",
       "      <td>18</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57810</th>\n",
       "      <td>69942970</td>\n",
       "      <td>6011</td>\n",
       "      <td>2010</td>\n",
       "      <td>-110049.87</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>21:17:53</td>\n",
       "      <td>21</td>\n",
       "      <td>17</td>\n",
       "      <td>53</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57811</th>\n",
       "      <td>69942970</td>\n",
       "      <td>6011</td>\n",
       "      <td>2010</td>\n",
       "      <td>-222345.66</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>21:17:34</td>\n",
       "      <td>21</td>\n",
       "      <td>17</td>\n",
       "      <td>34</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57812</th>\n",
       "      <td>69942970</td>\n",
       "      <td>5411</td>\n",
       "      <td>1010</td>\n",
       "      <td>-9634.98</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>21:35:26</td>\n",
       "      <td>21</td>\n",
       "      <td>35</td>\n",
       "      <td>26</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57813</th>\n",
       "      <td>69942970</td>\n",
       "      <td>5411</td>\n",
       "      <td>1010</td>\n",
       "      <td>-34182.84</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>21:32:34</td>\n",
       "      <td>21</td>\n",
       "      <td>32</td>\n",
       "      <td>34</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57814</th>\n",
       "      <td>69942970</td>\n",
       "      <td>5912</td>\n",
       "      <td>1010</td>\n",
       "      <td>-9006.12</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
       "      <td>13:27:37</td>\n",
       "      <td>13</td>\n",
       "      <td>27</td>\n",
       "      <td>37</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57815</th>\n",
       "      <td>69942970</td>\n",
       "      <td>5499</td>\n",
       "      <td>1110</td>\n",
       "      <td>-9620.83</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
       "      <td>13:44:44</td>\n",
       "      <td>13</td>\n",
       "      <td>44</td>\n",
       "      <td>44</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57816</th>\n",
       "      <td>69942970</td>\n",
       "      <td>5942</td>\n",
       "      <td>1010</td>\n",
       "      <td>-21089.15</td>\n",
       "      <td>NaN</td>\n",
       "      <td>31</td>\n",
       "      <td>19:22:02</td>\n",
       "      <td>19</td>\n",
       "      <td>22</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57817</th>\n",
       "      <td>69942970</td>\n",
       "      <td>5942</td>\n",
       "      <td>1010</td>\n",
       "      <td>-14430.01</td>\n",
       "      <td>NaN</td>\n",
       "      <td>34</td>\n",
       "      <td>18:46:48</td>\n",
       "      <td>18</td>\n",
       "      <td>46</td>\n",
       "      <td>48</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57818</th>\n",
       "      <td>69942970</td>\n",
       "      <td>4814</td>\n",
       "      <td>1030</td>\n",
       "      <td>-11229.58</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38</td>\n",
       "      <td>02:22:25</td>\n",
       "      <td>2</td>\n",
       "      <td>22</td>\n",
       "      <td>25</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57819</th>\n",
       "      <td>69942970</td>\n",
       "      <td>6011</td>\n",
       "      <td>2010</td>\n",
       "      <td>-110049.87</td>\n",
       "      <td>NaN</td>\n",
       "      <td>39</td>\n",
       "      <td>18:03:42</td>\n",
       "      <td>18</td>\n",
       "      <td>3</td>\n",
       "      <td>42</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57820</th>\n",
       "      <td>69942970</td>\n",
       "      <td>6011</td>\n",
       "      <td>2010</td>\n",
       "      <td>-110049.87</td>\n",
       "      <td>NaN</td>\n",
       "      <td>41</td>\n",
       "      <td>17:41:57</td>\n",
       "      <td>17</td>\n",
       "      <td>41</td>\n",
       "      <td>57</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57821</th>\n",
       "      <td>69942970</td>\n",
       "      <td>4814</td>\n",
       "      <td>1030</td>\n",
       "      <td>-2245.92</td>\n",
       "      <td>NaN</td>\n",
       "      <td>48</td>\n",
       "      <td>18:18:30</td>\n",
       "      <td>18</td>\n",
       "      <td>18</td>\n",
       "      <td>30</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57822</th>\n",
       "      <td>69942970</td>\n",
       "      <td>4814</td>\n",
       "      <td>1030</td>\n",
       "      <td>-5951.68</td>\n",
       "      <td>NaN</td>\n",
       "      <td>48</td>\n",
       "      <td>18:18:51</td>\n",
       "      <td>18</td>\n",
       "      <td>18</td>\n",
       "      <td>51</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57823</th>\n",
       "      <td>69942970</td>\n",
       "      <td>4814</td>\n",
       "      <td>1030</td>\n",
       "      <td>-11229.58</td>\n",
       "      <td>NaN</td>\n",
       "      <td>53</td>\n",
       "      <td>19:09:12</td>\n",
       "      <td>19</td>\n",
       "      <td>9</td>\n",
       "      <td>12</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57824</th>\n",
       "      <td>69942970</td>\n",
       "      <td>6011</td>\n",
       "      <td>2010</td>\n",
       "      <td>-110049.87</td>\n",
       "      <td>NaN</td>\n",
       "      <td>53</td>\n",
       "      <td>19:13:27</td>\n",
       "      <td>19</td>\n",
       "      <td>13</td>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57825</th>\n",
       "      <td>69942970</td>\n",
       "      <td>5411</td>\n",
       "      <td>1010</td>\n",
       "      <td>-25446.23</td>\n",
       "      <td>NaN</td>\n",
       "      <td>53</td>\n",
       "      <td>20:12:16</td>\n",
       "      <td>20</td>\n",
       "      <td>12</td>\n",
       "      <td>16</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57826</th>\n",
       "      <td>69942970</td>\n",
       "      <td>6011</td>\n",
       "      <td>2010</td>\n",
       "      <td>-89836.63</td>\n",
       "      <td>NaN</td>\n",
       "      <td>54</td>\n",
       "      <td>18:40:44</td>\n",
       "      <td>18</td>\n",
       "      <td>40</td>\n",
       "      <td>44</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57827</th>\n",
       "      <td>69942970</td>\n",
       "      <td>4814</td>\n",
       "      <td>1030</td>\n",
       "      <td>-4491.83</td>\n",
       "      <td>NaN</td>\n",
       "      <td>54</td>\n",
       "      <td>18:41:16</td>\n",
       "      <td>18</td>\n",
       "      <td>41</td>\n",
       "      <td>16</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       customer_id  mcc_code  tr_type     amount term_id  num_day  datetime  \\\n",
       "57808     69942970      5661     1110   -5794.46     NaN        0  20:28:55   \n",
       "57809     69942970      5311     1110 -130263.11     NaN        0  21:08:18   \n",
       "57810     69942970      6011     2010 -110049.87     NaN        0  21:17:53   \n",
       "57811     69942970      6011     2010 -222345.66     NaN        0  21:17:34   \n",
       "57812     69942970      5411     1010   -9634.98     NaN        0  21:35:26   \n",
       "57813     69942970      5411     1010  -34182.84     NaN        1  21:32:34   \n",
       "57814     69942970      5912     1010   -9006.12     NaN        2  13:27:37   \n",
       "57815     69942970      5499     1110   -9620.83     NaN        2  13:44:44   \n",
       "57816     69942970      5942     1010  -21089.15     NaN       31  19:22:02   \n",
       "57817     69942970      5942     1010  -14430.01     NaN       34  18:46:48   \n",
       "57818     69942970      4814     1030  -11229.58     NaN       38  02:22:25   \n",
       "57819     69942970      6011     2010 -110049.87     NaN       39  18:03:42   \n",
       "57820     69942970      6011     2010 -110049.87     NaN       41  17:41:57   \n",
       "57821     69942970      4814     1030   -2245.92     NaN       48  18:18:30   \n",
       "57822     69942970      4814     1030   -5951.68     NaN       48  18:18:51   \n",
       "57823     69942970      4814     1030  -11229.58     NaN       53  19:09:12   \n",
       "57824     69942970      6011     2010 -110049.87     NaN       53  19:13:27   \n",
       "57825     69942970      5411     1010  -25446.23     NaN       53  20:12:16   \n",
       "57826     69942970      6011     2010  -89836.63     NaN       54  18:40:44   \n",
       "57827     69942970      4814     1030   -4491.83     NaN       54  18:41:16   \n",
       "\n",
       "       hour  minute  second  dayofweek  \n",
       "57808    20      28      55          4  \n",
       "57809    21       8      18          4  \n",
       "57810    21      17      53          4  \n",
       "57811    21      17      34          4  \n",
       "57812    21      35      26          4  \n",
       "57813    21      32      34          5  \n",
       "57814    13      27      37          6  \n",
       "57815    13      44      44          6  \n",
       "57816    19      22       2          0  \n",
       "57817    18      46      48          3  \n",
       "57818     2      22      25          0  \n",
       "57819    18       3      42          1  \n",
       "57820    17      41      57          3  \n",
       "57821    18      18      30          3  \n",
       "57822    18      18      51          3  \n",
       "57823    19       9      12          1  \n",
       "57824    19      13      27          1  \n",
       "57825    20      12      16          1  \n",
       "57826    18      40      44          2  \n",
       "57827    18      41      16          2  "
      ]
     },
     "execution_count": 221,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "user = transactions.customer_id.unique()[100]\n",
    "\n",
    "tr = transactions[transactions.customer_id == user]\n",
    "tr[:20]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 276,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>mcc</th>\n",
       "      <th>new</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>4814</td>\n",
       "      <td>0.139456</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>6011</td>\n",
       "      <td>0.108844</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4829</td>\n",
       "      <td>0.006803</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>5499</td>\n",
       "      <td>0.275510</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5541</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>5200</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>5732</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>6010</td>\n",
       "      <td>0.003401</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>5331</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>5912</td>\n",
       "      <td>0.030612</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>5411</td>\n",
       "      <td>0.173469</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>5812</td>\n",
       "      <td>0.003401</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>6012</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>5719</td>\n",
       "      <td>0.006803</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>5722</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>5621</td>\n",
       "      <td>0.020408</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>5814</td>\n",
       "      <td>0.006803</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>5921</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>5941</td>\n",
       "      <td>0.023810</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>5691</td>\n",
       "      <td>0.034014</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>5813</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>5211</td>\n",
       "      <td>0.003401</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>4812</td>\n",
       "      <td>0.023810</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>5945</td>\n",
       "      <td>0.003401</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>5983</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>5999</td>\n",
       "      <td>0.003401</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>5943</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>5533</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>6300</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>7832</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>154</th>\n",
       "      <td>5192</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>155</th>\n",
       "      <td>5122</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>156</th>\n",
       "      <td>742</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>157</th>\n",
       "      <td>6513</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>158</th>\n",
       "      <td>7278</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>159</th>\n",
       "      <td>5969</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>160</th>\n",
       "      <td>5970</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>161</th>\n",
       "      <td>4131</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>162</th>\n",
       "      <td>5965</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>163</th>\n",
       "      <td>7395</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>164</th>\n",
       "      <td>5950</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>165</th>\n",
       "      <td>5085</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>166</th>\n",
       "      <td>7273</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>167</th>\n",
       "      <td>5137</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>168</th>\n",
       "      <td>5310</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>169</th>\n",
       "      <td>7531</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>170</th>\n",
       "      <td>7829</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>171</th>\n",
       "      <td>7375</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>172</th>\n",
       "      <td>2741</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>173</th>\n",
       "      <td>5172</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>174</th>\n",
       "      <td>8699</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>175</th>\n",
       "      <td>7216</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>176</th>\n",
       "      <td>5451</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>177</th>\n",
       "      <td>5967</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>178</th>\n",
       "      <td>7338</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>179</th>\n",
       "      <td>9402</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>180</th>\n",
       "      <td>5697</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>181</th>\n",
       "      <td>1731</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>182</th>\n",
       "      <td>5940</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>183</th>\n",
       "      <td>9211</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>184 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      mcc       new\n",
       "0    4814  0.139456\n",
       "1    6011  0.108844\n",
       "2    4829  0.006803\n",
       "3    5499  0.275510\n",
       "4    5541  0.000000\n",
       "5    5200  0.000000\n",
       "6    5732  0.000000\n",
       "7    6010  0.003401\n",
       "8    5331  0.000000\n",
       "9    5912  0.030612\n",
       "10   5411  0.173469\n",
       "11   5812  0.003401\n",
       "12   6012  0.000000\n",
       "13   5719  0.006803\n",
       "14   5722  0.000000\n",
       "15   5621  0.020408\n",
       "16   5814  0.006803\n",
       "17   5921  0.000000\n",
       "18   5941  0.023810\n",
       "19   5691  0.034014\n",
       "20   5813  0.000000\n",
       "21   5211  0.003401\n",
       "22   4812  0.023810\n",
       "23   5945  0.003401\n",
       "24   5983  0.000000\n",
       "25   5999  0.003401\n",
       "26   5943  0.000000\n",
       "27   5533  0.000000\n",
       "28   6300  0.000000\n",
       "29   7832  0.000000\n",
       "..    ...       ...\n",
       "154  5192  0.000000\n",
       "155  5122  0.000000\n",
       "156   742  0.000000\n",
       "157  6513  0.000000\n",
       "158  7278  0.000000\n",
       "159  5969  0.000000\n",
       "160  5970  0.000000\n",
       "161  4131  0.000000\n",
       "162  5965  0.000000\n",
       "163  7395  0.000000\n",
       "164  5950  0.000000\n",
       "165  5085  0.000000\n",
       "166  7273  0.000000\n",
       "167  5137  0.000000\n",
       "168  5310  0.000000\n",
       "169  7531  0.000000\n",
       "170  7829  0.000000\n",
       "171  7375  0.000000\n",
       "172  2741  0.000000\n",
       "173  5172  0.000000\n",
       "174  8699  0.000000\n",
       "175  7216  0.000000\n",
       "176  5451  0.000000\n",
       "177  5967  0.000000\n",
       "178  7338  0.000000\n",
       "179  9402  0.000000\n",
       "180  5697  0.000000\n",
       "181  1731  0.000000\n",
       "182  5940  0.000000\n",
       "183  9211  0.000000\n",
       "\n",
       "[184 rows x 2 columns]"
      ]
     },
     "execution_count": 276,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tmp = tr.mcc_code.value_counts()\n",
    "tmp.to_dict()\n",
    "\n",
    "df_mcc = pd.DataFrame({'mcc':transactions.mcc_code.unique()})\n",
    "df_mcc['new'] = df_mcc.mcc.map(tmp.to_dict())\n",
    "df_mcc.new.fillna(0, inplace=True)\n",
    "\n",
    "#df_mcc.new.tolist()\n",
    "df_mcc['new'] = df_mcc['new']/df_mcc['new'].sum()\n",
    "df_mcc"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 146,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(0, 100)"
      ]
     },
     "execution_count": 146,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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7G9l41pjy6zT/dttTKvGUX2eXbZ3xvF7Mv8r2VMf2VhZvensb5O1xULfX1t9S+r1uxZve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\nhBBCCCFEw8gxE0IIIYQQQoiG+X8J5iYG/9teggAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x2b4e0908>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "tmp = tr.groupby('num_day').amount.sum()\n",
    "#lt.plot(tr.d)\n",
    "p = tmp.plot(kind='bar')\n",
    "p.set_xlim([0, 100])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 128,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Среднее число транзакций:\n",
      "456.623066667\n",
      "324.5\n",
      "294\n"
     ]
    }
   ],
   "source": [
    "print ('Среднее число транзакций:')\n",
    "print (mean(tmp.amount.count().values))\n",
    "print (median(tmp.amount.count().values))\n",
    "print (tr.shape[0])"
   ]
  }
 ],
 "metadata": {
  "anaconda-cloud": {},
  "kernelspec": {
   "display_name": "Python [default]",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.5.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}