{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 5. Dask dataframes"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Just like for numpy arrays, Dask implements dataframe wiht an [API](https://docs.dask.org/en/latest/dataframe-api.html) that is very close to the one of Pandas dataframes. In this notebook, we are very briefly reviewing what Pandas dataframes are, and then see their similarities and differences with dask-dataframes."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 5.1 Pandas dataframes\n",
    "\n",
    "Let's briefly remember what a dataframe is by loading some tabular data using regular Pandas. We use here a [dataset](https://github.com/guiwitz/Rdatasets/blob/master/csv/mosaicData/Birthdays.csv) of all births in the US from 1969 to 1988 by state."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Import"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "births = pd.read_csv('../Data/Birthdays.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>state</th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "      <th>day</th>\n",
       "      <th>date</th>\n",
       "      <th>wday</th>\n",
       "      <th>births</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>AK</td>\n",
       "      <td>1969</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1969-01-01</td>\n",
       "      <td>Wed</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>AL</td>\n",
       "      <td>1969</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1969-01-01</td>\n",
       "      <td>Wed</td>\n",
       "      <td>174</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>AR</td>\n",
       "      <td>1969</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1969-01-01</td>\n",
       "      <td>Wed</td>\n",
       "      <td>78</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>AZ</td>\n",
       "      <td>1969</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1969-01-01</td>\n",
       "      <td>Wed</td>\n",
       "      <td>84</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>CA</td>\n",
       "      <td>1969</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1969-01-01</td>\n",
       "      <td>Wed</td>\n",
       "      <td>824</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>372859</th>\n",
       "      <td>372860</td>\n",
       "      <td>VT</td>\n",
       "      <td>1988</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>1988-12-31</td>\n",
       "      <td>Sat</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>372860</th>\n",
       "      <td>372861</td>\n",
       "      <td>WA</td>\n",
       "      <td>1988</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>1988-12-31</td>\n",
       "      <td>Sat</td>\n",
       "      <td>157</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>372861</th>\n",
       "      <td>372862</td>\n",
       "      <td>WI</td>\n",
       "      <td>1988</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>1988-12-31</td>\n",
       "      <td>Sat</td>\n",
       "      <td>167</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>372862</th>\n",
       "      <td>372863</td>\n",
       "      <td>WV</td>\n",
       "      <td>1988</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>1988-12-31</td>\n",
       "      <td>Sat</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>372863</th>\n",
       "      <td>372864</td>\n",
       "      <td>WY</td>\n",
       "      <td>1988</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>1988-12-31</td>\n",
       "      <td>Sat</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>372864 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        Unnamed: 0 state  year  month  day        date wday  births\n",
       "0                1    AK  1969      1    1  1969-01-01  Wed      14\n",
       "1                2    AL  1969      1    1  1969-01-01  Wed     174\n",
       "2                3    AR  1969      1    1  1969-01-01  Wed      78\n",
       "3                4    AZ  1969      1    1  1969-01-01  Wed      84\n",
       "4                5    CA  1969      1    1  1969-01-01  Wed     824\n",
       "...            ...   ...   ...    ...  ...         ...  ...     ...\n",
       "372859      372860    VT  1988     12   31  1988-12-31  Sat      21\n",
       "372860      372861    WA  1988     12   31  1988-12-31  Sat     157\n",
       "372861      372862    WI  1988     12   31  1988-12-31  Sat     167\n",
       "372862      372863    WV  1988     12   31  1988-12-31  Sat      45\n",
       "372863      372864    WY  1988     12   31  1988-12-31  Sat      18\n",
       "\n",
       "[372864 rows x 8 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "births"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Extracting elements\n",
    "\n",
    "A dataframe is a table where each line represents an observation and that can contain numerical values or categorical values (it can contain lists or other complex objects, but rather shouldn't). Each line has an index that can be used to recover that line:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Unnamed: 0             1\n",
       "state                 AK\n",
       "year                1969\n",
       "month                  1\n",
       "day                    1\n",
       "date          1969-01-01\n",
       "wday                 Wed\n",
       "births                14\n",
       "Name: 0, dtype: object"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "births.loc[0]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "One can recover each variable either for a specific index:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'AK'"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "births.loc[0].state"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "or for the entire dataframe:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0         AK\n",
       "1         AL\n",
       "2         AR\n",
       "3         AZ\n",
       "4         CA\n",
       "          ..\n",
       "372859    VT\n",
       "372860    WA\n",
       "372861    WI\n",
       "372862    WV\n",
       "372863    WY\n",
       "Name: state, Length: 372864, dtype: object"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "births.state"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Logical indexing\n",
    "\n",
    "Dataframes also support numpy-like indexing:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0          True\n",
       "1         False\n",
       "2         False\n",
       "3         False\n",
       "4         False\n",
       "          ...  \n",
       "372859    False\n",
       "372860    False\n",
       "372861    False\n",
       "372862    False\n",
       "372863    False\n",
       "Name: state, Length: 372864, dtype: bool"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "births.state == 'AK'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>state</th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "      <th>day</th>\n",
       "      <th>date</th>\n",
       "      <th>wday</th>\n",
       "      <th>births</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>AK</td>\n",
       "      <td>1969</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1969-01-01</td>\n",
       "      <td>Wed</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>52</td>\n",
       "      <td>AK</td>\n",
       "      <td>1969</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1969-01-02</td>\n",
       "      <td>Thurs</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102</th>\n",
       "      <td>103</td>\n",
       "      <td>AK</td>\n",
       "      <td>1969</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>1969-01-03</td>\n",
       "      <td>Fri</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>153</th>\n",
       "      <td>154</td>\n",
       "      <td>AK</td>\n",
       "      <td>1969</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>1969-01-04</td>\n",
       "      <td>Sat</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>204</th>\n",
       "      <td>205</td>\n",
       "      <td>AK</td>\n",
       "      <td>1969</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>1969-01-05</td>\n",
       "      <td>Sun</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>372609</th>\n",
       "      <td>372610</td>\n",
       "      <td>AK</td>\n",
       "      <td>1988</td>\n",
       "      <td>12</td>\n",
       "      <td>27</td>\n",
       "      <td>1988-12-27</td>\n",
       "      <td>Tues</td>\n",
       "      <td>38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>372660</th>\n",
       "      <td>372661</td>\n",
       "      <td>AK</td>\n",
       "      <td>1988</td>\n",
       "      <td>12</td>\n",
       "      <td>28</td>\n",
       "      <td>1988-12-28</td>\n",
       "      <td>Wed</td>\n",
       "      <td>40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>372711</th>\n",
       "      <td>372712</td>\n",
       "      <td>AK</td>\n",
       "      <td>1988</td>\n",
       "      <td>12</td>\n",
       "      <td>29</td>\n",
       "      <td>1988-12-29</td>\n",
       "      <td>Thurs</td>\n",
       "      <td>31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>372762</th>\n",
       "      <td>372763</td>\n",
       "      <td>AK</td>\n",
       "      <td>1988</td>\n",
       "      <td>12</td>\n",
       "      <td>30</td>\n",
       "      <td>1988-12-30</td>\n",
       "      <td>Fri</td>\n",
       "      <td>28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>372813</th>\n",
       "      <td>372814</td>\n",
       "      <td>AK</td>\n",
       "      <td>1988</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>1988-12-31</td>\n",
       "      <td>Sat</td>\n",
       "      <td>29</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>7306 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        Unnamed: 0 state  year  month  day        date   wday  births\n",
       "0                1    AK  1969      1    1  1969-01-01    Wed      14\n",
       "51              52    AK  1969      1    2  1969-01-02  Thurs      20\n",
       "102            103    AK  1969      1    3  1969-01-03    Fri      20\n",
       "153            154    AK  1969      1    4  1969-01-04    Sat      16\n",
       "204            205    AK  1969      1    5  1969-01-05    Sun      18\n",
       "...            ...   ...   ...    ...  ...         ...    ...     ...\n",
       "372609      372610    AK  1988     12   27  1988-12-27   Tues      38\n",
       "372660      372661    AK  1988     12   28  1988-12-28    Wed      40\n",
       "372711      372712    AK  1988     12   29  1988-12-29  Thurs      31\n",
       "372762      372763    AK  1988     12   30  1988-12-30    Fri      28\n",
       "372813      372814    AK  1988     12   31  1988-12-31    Sat      29\n",
       "\n",
       "[7306 rows x 8 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "births[births.state == 'AK']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Statistics\n",
    "\n",
    "The primary goal of dataframes is to perform statistical analysis. Many functions are implemented by default, like the mean, but one can also apply virtually any function to a dataframe using methods like ```apply```."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Unnamed: 0    186432.500000\n",
       "year            1978.495350\n",
       "month              6.522394\n",
       "day               15.741927\n",
       "births           189.040878\n",
       "dtype: float64"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "births.mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0            196\n",
       "1          30276\n",
       "2           6084\n",
       "3           7056\n",
       "4         678976\n",
       "           ...  \n",
       "372859       441\n",
       "372860     24649\n",
       "372861     27889\n",
       "372862      2025\n",
       "372863       324\n",
       "Name: births, Length: 372864, dtype: int64"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def myfun(x):\n",
    "    return x**2\n",
    "\n",
    "births.births.apply(myfun)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Re-arranging\n",
    "\n",
    "Finally, dataframes can be \"re-arranged\" in many ways to select and group particulars sub-categories. The most commonly function is ```groupy``` which allows to create a set of groups based on the elements of a column, like here grouping data by states:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "      <th>day</th>\n",
       "      <th>births</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>state</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>AK</th>\n",
       "      <td>186490.363674</td>\n",
       "      <td>1978.499726</td>\n",
       "      <td>6.523542</td>\n",
       "      <td>15.731727</td>\n",
       "      <td>25.374350</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AL</th>\n",
       "      <td>186357.881565</td>\n",
       "      <td>1978.492615</td>\n",
       "      <td>6.522566</td>\n",
       "      <td>15.743846</td>\n",
       "      <td>165.039934</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AR</th>\n",
       "      <td>186453.473461</td>\n",
       "      <td>1978.497674</td>\n",
       "      <td>6.522845</td>\n",
       "      <td>15.739808</td>\n",
       "      <td>93.600547</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AZ</th>\n",
       "      <td>186436.387141</td>\n",
       "      <td>1978.496854</td>\n",
       "      <td>6.521067</td>\n",
       "      <td>15.739672</td>\n",
       "      <td>129.580575</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CA</th>\n",
       "      <td>186215.389352</td>\n",
       "      <td>1978.484778</td>\n",
       "      <td>6.522048</td>\n",
       "      <td>15.770375</td>\n",
       "      <td>1067.956997</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CO</th>\n",
       "      <td>186518.550034</td>\n",
       "      <td>1978.501027</td>\n",
       "      <td>6.522930</td>\n",
       "      <td>15.729637</td>\n",
       "      <td>129.552088</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CT</th>\n",
       "      <td>186394.528583</td>\n",
       "      <td>1978.494530</td>\n",
       "      <td>6.519967</td>\n",
       "      <td>15.743572</td>\n",
       "      <td>112.737691</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DC</th>\n",
       "      <td>186399.759130</td>\n",
       "      <td>1978.494597</td>\n",
       "      <td>6.521953</td>\n",
       "      <td>15.741622</td>\n",
       "      <td>58.195732</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DE</th>\n",
       "      <td>186472.827699</td>\n",
       "      <td>1978.498426</td>\n",
       "      <td>6.522650</td>\n",
       "      <td>15.733817</td>\n",
       "      <td>25.825236</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FL</th>\n",
       "      <td>186477.669358</td>\n",
       "      <td>1978.498563</td>\n",
       "      <td>6.523471</td>\n",
       "      <td>15.733817</td>\n",
       "      <td>359.148898</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GA</th>\n",
       "      <td>186349.298605</td>\n",
       "      <td>1978.491523</td>\n",
       "      <td>6.524200</td>\n",
       "      <td>15.747881</td>\n",
       "      <td>251.521739</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HI</th>\n",
       "      <td>186501.362852</td>\n",
       "      <td>1978.499726</td>\n",
       "      <td>6.523542</td>\n",
       "      <td>15.731727</td>\n",
       "      <td>47.265125</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>IA</th>\n",
       "      <td>186505.551328</td>\n",
       "      <td>1978.500000</td>\n",
       "      <td>6.522310</td>\n",
       "      <td>15.731454</td>\n",
       "      <td>119.108815</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ID</th>\n",
       "      <td>186521.236929</td>\n",
       "      <td>1978.500684</td>\n",
       "      <td>6.523542</td>\n",
       "      <td>15.731727</td>\n",
       "      <td>45.567068</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>IL</th>\n",
       "      <td>186317.537326</td>\n",
       "      <td>1978.489882</td>\n",
       "      <td>6.520919</td>\n",
       "      <td>15.748018</td>\n",
       "      <td>488.039923</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>IN</th>\n",
       "      <td>186447.118999</td>\n",
       "      <td>1978.496786</td>\n",
       "      <td>6.520996</td>\n",
       "      <td>15.741485</td>\n",
       "      <td>233.006976</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>KS</th>\n",
       "      <td>186398.155382</td>\n",
       "      <td>1978.494050</td>\n",
       "      <td>6.521680</td>\n",
       "      <td>15.741759</td>\n",
       "      <td>98.729449</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>KY</th>\n",
       "      <td>186367.933133</td>\n",
       "      <td>1978.492274</td>\n",
       "      <td>6.522768</td>\n",
       "      <td>15.745932</td>\n",
       "      <td>153.559415</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LA</th>\n",
       "      <td>186465.618279</td>\n",
       "      <td>1978.497469</td>\n",
       "      <td>6.522917</td>\n",
       "      <td>15.737994</td>\n",
       "      <td>207.178137</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MA</th>\n",
       "      <td>186341.089542</td>\n",
       "      <td>1978.490636</td>\n",
       "      <td>6.523718</td>\n",
       "      <td>15.750239</td>\n",
       "      <td>216.457553</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MD</th>\n",
       "      <td>186426.612228</td>\n",
       "      <td>1978.495281</td>\n",
       "      <td>6.522637</td>\n",
       "      <td>15.741622</td>\n",
       "      <td>150.657366</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ME</th>\n",
       "      <td>186436.477904</td>\n",
       "      <td>1978.495827</td>\n",
       "      <td>6.521959</td>\n",
       "      <td>15.737584</td>\n",
       "      <td>43.806950</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MI</th>\n",
       "      <td>186289.479448</td>\n",
       "      <td>1978.488051</td>\n",
       "      <td>6.519050</td>\n",
       "      <td>15.765806</td>\n",
       "      <td>387.427694</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MN</th>\n",
       "      <td>186346.094053</td>\n",
       "      <td>1978.491046</td>\n",
       "      <td>6.519481</td>\n",
       "      <td>15.749829</td>\n",
       "      <td>173.539029</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MO</th>\n",
       "      <td>186444.592831</td>\n",
       "      <td>1978.496101</td>\n",
       "      <td>6.521959</td>\n",
       "      <td>15.737447</td>\n",
       "      <td>210.423998</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MS</th>\n",
       "      <td>186422.434610</td>\n",
       "      <td>1978.494802</td>\n",
       "      <td>6.522572</td>\n",
       "      <td>15.740082</td>\n",
       "      <td>121.646101</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MT</th>\n",
       "      <td>186539.550034</td>\n",
       "      <td>1978.501027</td>\n",
       "      <td>6.522930</td>\n",
       "      <td>15.729637</td>\n",
       "      <td>34.754825</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NC</th>\n",
       "      <td>186514.812509</td>\n",
       "      <td>1978.499658</td>\n",
       "      <td>6.522650</td>\n",
       "      <td>15.733543</td>\n",
       "      <td>240.947448</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ND</th>\n",
       "      <td>186541.550034</td>\n",
       "      <td>1978.501027</td>\n",
       "      <td>6.522930</td>\n",
       "      <td>15.729637</td>\n",
       "      <td>32.675702</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NE</th>\n",
       "      <td>186542.550034</td>\n",
       "      <td>1978.501027</td>\n",
       "      <td>6.522930</td>\n",
       "      <td>15.729637</td>\n",
       "      <td>69.408077</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NH</th>\n",
       "      <td>186468.643678</td>\n",
       "      <td>1978.497126</td>\n",
       "      <td>6.521346</td>\n",
       "      <td>15.735495</td>\n",
       "      <td>36.259442</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NJ</th>\n",
       "      <td>186334.745117</td>\n",
       "      <td>1978.489551</td>\n",
       "      <td>6.524519</td>\n",
       "      <td>15.762737</td>\n",
       "      <td>271.122797</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NM</th>\n",
       "      <td>186481.319102</td>\n",
       "      <td>1978.497537</td>\n",
       "      <td>6.523262</td>\n",
       "      <td>15.735632</td>\n",
       "      <td>65.893404</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NV</th>\n",
       "      <td>186502.294375</td>\n",
       "      <td>1978.498700</td>\n",
       "      <td>6.522239</td>\n",
       "      <td>15.733543</td>\n",
       "      <td>33.046394</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NY</th>\n",
       "      <td>186081.586118</td>\n",
       "      <td>1978.475931</td>\n",
       "      <td>6.522296</td>\n",
       "      <td>15.786854</td>\n",
       "      <td>702.754534</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>OH</th>\n",
       "      <td>186360.525618</td>\n",
       "      <td>1978.491051</td>\n",
       "      <td>6.520700</td>\n",
       "      <td>15.757754</td>\n",
       "      <td>455.844514</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>OK</th>\n",
       "      <td>186524.860526</td>\n",
       "      <td>1978.499726</td>\n",
       "      <td>6.522584</td>\n",
       "      <td>15.731727</td>\n",
       "      <td>127.695182</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>OR</th>\n",
       "      <td>186507.794581</td>\n",
       "      <td>1978.498700</td>\n",
       "      <td>6.523197</td>\n",
       "      <td>15.733817</td>\n",
       "      <td>105.074997</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PA</th>\n",
       "      <td>186180.383356</td>\n",
       "      <td>1978.481037</td>\n",
       "      <td>6.522237</td>\n",
       "      <td>15.780355</td>\n",
       "      <td>444.353615</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RI</th>\n",
       "      <td>186552.550034</td>\n",
       "      <td>1978.501027</td>\n",
       "      <td>6.522930</td>\n",
       "      <td>15.729637</td>\n",
       "      <td>36.281725</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SC</th>\n",
       "      <td>186385.197566</td>\n",
       "      <td>1978.491933</td>\n",
       "      <td>6.523106</td>\n",
       "      <td>15.747881</td>\n",
       "      <td>133.788214</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SD</th>\n",
       "      <td>186554.550034</td>\n",
       "      <td>1978.501027</td>\n",
       "      <td>6.522930</td>\n",
       "      <td>15.729637</td>\n",
       "      <td>32.270226</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TN</th>\n",
       "      <td>186489.390120</td>\n",
       "      <td>1978.497537</td>\n",
       "      <td>6.522031</td>\n",
       "      <td>15.735495</td>\n",
       "      <td>194.070744</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TX</th>\n",
       "      <td>186137.676398</td>\n",
       "      <td>1978.478445</td>\n",
       "      <td>6.522647</td>\n",
       "      <td>15.780764</td>\n",
       "      <td>718.072715</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>UT</th>\n",
       "      <td>186531.800602</td>\n",
       "      <td>1978.499658</td>\n",
       "      <td>6.522650</td>\n",
       "      <td>15.733543</td>\n",
       "      <td>97.681538</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>VA</th>\n",
       "      <td>186466.901368</td>\n",
       "      <td>1978.496033</td>\n",
       "      <td>6.523529</td>\n",
       "      <td>15.740082</td>\n",
       "      <td>209.090287</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>VT</th>\n",
       "      <td>186559.550034</td>\n",
       "      <td>1978.501027</td>\n",
       "      <td>6.522930</td>\n",
       "      <td>15.729637</td>\n",
       "      <td>20.244490</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>WA</th>\n",
       "      <td>186537.990693</td>\n",
       "      <td>1978.499863</td>\n",
       "      <td>6.522310</td>\n",
       "      <td>15.731590</td>\n",
       "      <td>167.277443</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>WI</th>\n",
       "      <td>186438.223362</td>\n",
       "      <td>1978.494460</td>\n",
       "      <td>6.521953</td>\n",
       "      <td>15.741485</td>\n",
       "      <td>192.362878</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>WV</th>\n",
       "      <td>186467.042681</td>\n",
       "      <td>1978.496033</td>\n",
       "      <td>6.521067</td>\n",
       "      <td>15.739398</td>\n",
       "      <td>76.300000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>WY</th>\n",
       "      <td>186563.550034</td>\n",
       "      <td>1978.501027</td>\n",
       "      <td>6.522930</td>\n",
       "      <td>15.729637</td>\n",
       "      <td>21.084052</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          Unnamed: 0         year     month        day       births\n",
       "state                                                              \n",
       "AK     186490.363674  1978.499726  6.523542  15.731727    25.374350\n",
       "AL     186357.881565  1978.492615  6.522566  15.743846   165.039934\n",
       "AR     186453.473461  1978.497674  6.522845  15.739808    93.600547\n",
       "AZ     186436.387141  1978.496854  6.521067  15.739672   129.580575\n",
       "CA     186215.389352  1978.484778  6.522048  15.770375  1067.956997\n",
       "CO     186518.550034  1978.501027  6.522930  15.729637   129.552088\n",
       "CT     186394.528583  1978.494530  6.519967  15.743572   112.737691\n",
       "DC     186399.759130  1978.494597  6.521953  15.741622    58.195732\n",
       "DE     186472.827699  1978.498426  6.522650  15.733817    25.825236\n",
       "FL     186477.669358  1978.498563  6.523471  15.733817   359.148898\n",
       "GA     186349.298605  1978.491523  6.524200  15.747881   251.521739\n",
       "HI     186501.362852  1978.499726  6.523542  15.731727    47.265125\n",
       "IA     186505.551328  1978.500000  6.522310  15.731454   119.108815\n",
       "ID     186521.236929  1978.500684  6.523542  15.731727    45.567068\n",
       "IL     186317.537326  1978.489882  6.520919  15.748018   488.039923\n",
       "IN     186447.118999  1978.496786  6.520996  15.741485   233.006976\n",
       "KS     186398.155382  1978.494050  6.521680  15.741759    98.729449\n",
       "KY     186367.933133  1978.492274  6.522768  15.745932   153.559415\n",
       "LA     186465.618279  1978.497469  6.522917  15.737994   207.178137\n",
       "MA     186341.089542  1978.490636  6.523718  15.750239   216.457553\n",
       "MD     186426.612228  1978.495281  6.522637  15.741622   150.657366\n",
       "ME     186436.477904  1978.495827  6.521959  15.737584    43.806950\n",
       "MI     186289.479448  1978.488051  6.519050  15.765806   387.427694\n",
       "MN     186346.094053  1978.491046  6.519481  15.749829   173.539029\n",
       "MO     186444.592831  1978.496101  6.521959  15.737447   210.423998\n",
       "MS     186422.434610  1978.494802  6.522572  15.740082   121.646101\n",
       "MT     186539.550034  1978.501027  6.522930  15.729637    34.754825\n",
       "NC     186514.812509  1978.499658  6.522650  15.733543   240.947448\n",
       "ND     186541.550034  1978.501027  6.522930  15.729637    32.675702\n",
       "NE     186542.550034  1978.501027  6.522930  15.729637    69.408077\n",
       "NH     186468.643678  1978.497126  6.521346  15.735495    36.259442\n",
       "NJ     186334.745117  1978.489551  6.524519  15.762737   271.122797\n",
       "NM     186481.319102  1978.497537  6.523262  15.735632    65.893404\n",
       "NV     186502.294375  1978.498700  6.522239  15.733543    33.046394\n",
       "NY     186081.586118  1978.475931  6.522296  15.786854   702.754534\n",
       "OH     186360.525618  1978.491051  6.520700  15.757754   455.844514\n",
       "OK     186524.860526  1978.499726  6.522584  15.731727   127.695182\n",
       "OR     186507.794581  1978.498700  6.523197  15.733817   105.074997\n",
       "PA     186180.383356  1978.481037  6.522237  15.780355   444.353615\n",
       "RI     186552.550034  1978.501027  6.522930  15.729637    36.281725\n",
       "SC     186385.197566  1978.491933  6.523106  15.747881   133.788214\n",
       "SD     186554.550034  1978.501027  6.522930  15.729637    32.270226\n",
       "TN     186489.390120  1978.497537  6.522031  15.735495   194.070744\n",
       "TX     186137.676398  1978.478445  6.522647  15.780764   718.072715\n",
       "UT     186531.800602  1978.499658  6.522650  15.733543    97.681538\n",
       "VA     186466.901368  1978.496033  6.523529  15.740082   209.090287\n",
       "VT     186559.550034  1978.501027  6.522930  15.729637    20.244490\n",
       "WA     186537.990693  1978.499863  6.522310  15.731590   167.277443\n",
       "WI     186438.223362  1978.494460  6.521953  15.741485   192.362878\n",
       "WV     186467.042681  1978.496033  6.521067  15.739398    76.300000\n",
       "WY     186563.550034  1978.501027  6.522930  15.729637    21.084052"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "births.groupby('state').mean()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Pandas is a huge library that offers all necessary tools for advanced data science and is used in many other packages such as the plotting library seaborn or the machine learning packages scikit-learn (you can learn a bit more about Pandas e.g. [here](https://github.com/guiwitz/Pandas_course))."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 5.2 Dask dataframes\n",
    "\n",
    "We are now going to see the equivalent operations for dask dataframes. First of all, we start dask by creating a client-cluster pair:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table style=\"border: 2px solid white;\">\n",
       "<tr>\n",
       "<td style=\"vertical-align: top; border: 0px solid white\">\n",
       "<h3 style=\"text-align: left;\">Client</h3>\n",
       "<ul style=\"text-align: left; list-style: none; margin: 0; padding: 0;\">\n",
       "  <li><b>Scheduler: </b>tcp://127.0.0.1:60867</li>\n",
       "  <li><b>Dashboard: </b><a href='http://127.0.0.1:8787/status' target='_blank'>http://127.0.0.1:8787/status</a></li>\n",
       "</ul>\n",
       "</td>\n",
       "<td style=\"vertical-align: top; border: 0px solid white\">\n",
       "<h3 style=\"text-align: left;\">Cluster</h3>\n",
       "<ul style=\"text-align: left; list-style:none; margin: 0; padding: 0;\">\n",
       "  <li><b>Workers: </b>4</li>\n",
       "  <li><b>Cores: </b>4</li>\n",
       "  <li><b>Memory: </b>17.18 GB</li>\n",
       "</ul>\n",
       "</td>\n",
       "</tr>\n",
       "</table>"
      ],
      "text/plain": [
       "<Client: 'tcp://127.0.0.1:60867' processes=4 threads=4, memory=17.18 GB>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from dask.distributed import Client\n",
    "\n",
    "client = Client()\n",
    "client"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Import\n",
    "\n",
    "We import now the same csv file, but now as a dask-dataframe and not a pandas-dataframe:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "from dask import dataframe as dd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "births_da = dd.read_csv('../Data/Birthdays.csv')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "At import time, Dask checks the first rows to determine the type of each column. Of course this can lead to trouble if the contents of a column is not consistent (you will see an example of this in the exercises), and like in Pandas, one can enforce types at import time. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div><strong>Dask DataFrame Structure:</strong></div>\n",
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>state</th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "      <th>day</th>\n",
       "      <th>date</th>\n",
       "      <th>wday</th>\n",
       "      <th>births</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>npartitions=1</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></th>\n",
       "      <td>int64</td>\n",
       "      <td>object</td>\n",
       "      <td>int64</td>\n",
       "      <td>int64</td>\n",
       "      <td>int64</td>\n",
       "      <td>object</td>\n",
       "      <td>object</td>\n",
       "      <td>int64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>\n",
       "<div>Dask Name: read-csv, 1 tasks</div>"
      ],
      "text/plain": [
       "Dask DataFrame Structure:\n",
       "              Unnamed: 0   state   year  month    day    date    wday births\n",
       "npartitions=1                                                               \n",
       "                   int64  object  int64  int64  int64  object  object  int64\n",
       "                     ...     ...    ...    ...    ...     ...     ...    ...\n",
       "Dask Name: read-csv, 1 tasks"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "births_da"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We see that the dataframe itself is still empty. It's only going to be filled at ```compute()``` time. The only information that we have is the length of the table which is pre-computed:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "372864"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(births_da)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "If we want to have a clearer idea of the contents we can used the ```head()``` function:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>state</th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "      <th>day</th>\n",
       "      <th>date</th>\n",
       "      <th>wday</th>\n",
       "      <th>births</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>AK</td>\n",
       "      <td>1969</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1969-01-01</td>\n",
       "      <td>Wed</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>AL</td>\n",
       "      <td>1969</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1969-01-01</td>\n",
       "      <td>Wed</td>\n",
       "      <td>174</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>AR</td>\n",
       "      <td>1969</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1969-01-01</td>\n",
       "      <td>Wed</td>\n",
       "      <td>78</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>AZ</td>\n",
       "      <td>1969</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1969-01-01</td>\n",
       "      <td>Wed</td>\n",
       "      <td>84</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>CA</td>\n",
       "      <td>1969</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1969-01-01</td>\n",
       "      <td>Wed</td>\n",
       "      <td>824</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Unnamed: 0 state  year  month  day        date wday  births\n",
       "0           1    AK  1969      1    1  1969-01-01  Wed      14\n",
       "1           2    AL  1969      1    1  1969-01-01  Wed     174\n",
       "2           3    AR  1969      1    1  1969-01-01  Wed      78\n",
       "3           4    AZ  1969      1    1  1969-01-01  Wed      84\n",
       "4           5    CA  1969      1    1  1969-01-01  Wed     824"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "births_da.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This dataset is very small and therefore it is not split into multiple parts as we expect dask to do (like chunks for arrays):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "births_da.visualize()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For the purpose of illustration, we are going to enforce such a splitting here at import time. Enforcing such a split, can also be practical if one has a table with known series of blocks on which computations have to be done together, in order to avoid communication between tasks."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "births_da = dd.read_csv('../Data/Birthdays.csv', blocksize=5e6)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "births_da.visualize()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We see now that the data import is split into five chunks. Let's now try out the different dataframe operations we have seen for Pandas above."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Extracting elements\n",
    "\n",
    "Dask-dataframes use the same operations to extract specific locations or series. However one has to be very careful if the data is split into chunks. For example let's see what happens with ```loc[]```:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div><strong>Dask DataFrame Structure:</strong></div>\n",
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>state</th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "      <th>day</th>\n",
       "      <th>date</th>\n",
       "      <th>wday</th>\n",
       "      <th>births</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>npartitions=4</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></th>\n",
       "      <td>int64</td>\n",
       "      <td>object</td>\n",
       "      <td>int64</td>\n",
       "      <td>int64</td>\n",
       "      <td>int64</td>\n",
       "      <td>object</td>\n",
       "      <td>object</td>\n",
       "      <td>int64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>\n",
       "<div>Dask Name: try_loc, 8 tasks</div>"
      ],
      "text/plain": [
       "Dask DataFrame Structure:\n",
       "              Unnamed: 0   state   year  month    day    date    wday births\n",
       "npartitions=4                                                               \n",
       "                   int64  object  int64  int64  int64  object  object  int64\n",
       "                     ...     ...    ...    ...    ...     ...     ...    ...\n",
       "                     ...     ...    ...    ...    ...     ...     ...    ...\n",
       "                     ...     ...    ...    ...    ...     ...     ...    ...\n",
       "                     ...     ...    ...    ...    ...     ...     ...    ...\n",
       "Dask Name: try_loc, 8 tasks"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "births_da.loc[0]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As before for arrays or for delayed, the function is not executed directly. We need to use ```compute``` whenever we want the actual result:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>state</th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "      <th>day</th>\n",
       "      <th>date</th>\n",
       "      <th>wday</th>\n",
       "      <th>births</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>AK</td>\n",
       "      <td>1969</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1969-01-01</td>\n",
       "      <td>Wed</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>113681</td>\n",
       "      <td>HI</td>\n",
       "      <td>1975</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>1975-02-03</td>\n",
       "      <td>Mon</td>\n",
       "      <td>50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>224785</td>\n",
       "      <td>MO</td>\n",
       "      <td>1981</td>\n",
       "      <td>1</td>\n",
       "      <td>19</td>\n",
       "      <td>1981-01-19</td>\n",
       "      <td>Mon</td>\n",
       "      <td>223</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>335813</td>\n",
       "      <td>MS</td>\n",
       "      <td>1987</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>1987-01-05</td>\n",
       "      <td>Mon</td>\n",
       "      <td>127</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Unnamed: 0 state  year  month  day        date wday  births\n",
       "0           1    AK  1969      1    1  1969-01-01  Wed      14\n",
       "0      113681    HI  1975      2    3  1975-02-03  Mon      50\n",
       "0      224785    MO  1981      1   19  1981-01-19  Mon     223\n",
       "0      335813    MS  1987      1    5  1987-01-05  Mon     127"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "births_da.loc[0].compute()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Remember what the output was for the classical dataframe:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Unnamed: 0             1\n",
       "state                 AK\n",
       "year                1969\n",
       "month                  1\n",
       "day                    1\n",
       "date          1969-01-01\n",
       "wday                 Wed\n",
       "births                14\n",
       "Name: 0, dtype: object"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "births.loc[0]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "What happened here? As our dataframe is imported as chunks, each chunk re-starts indexing at 0. Since we had four chunks, we have four locations 0. So be careful with automatic indexing. To fix that, we can use one of the column as index, if something suitable is present. Here we can use the first column ```Unnamed: 0``` for that:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "births_da = births_da.set_index('Unnamed: 0')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>state</th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "      <th>day</th>\n",
       "      <th>date</th>\n",
       "      <th>wday</th>\n",
       "      <th>births</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Unnamed: 0</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>1</th>\n",
       "      <td>AK</td>\n",
       "      <td>1969</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1969-01-01</td>\n",
       "      <td>Wed</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           state  year  month  day        date wday  births\n",
       "Unnamed: 0                                                 \n",
       "1             AK  1969      1    1  1969-01-01  Wed      14"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "births_da.loc[1].compute()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Logical indexing\n",
    "\n",
    "Logical indexing works exactly like for arrays. Since this does not use the dataframe index, there is no \"chunk-problem\":"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "subtable = births_da[births_da.state == 'AK']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div><strong>Dask DataFrame Structure:</strong></div>\n",
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>state</th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "      <th>day</th>\n",
       "      <th>date</th>\n",
       "      <th>wday</th>\n",
       "      <th>births</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>npartitions=4</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>1</th>\n",
       "      <td>object</td>\n",
       "      <td>int64</td>\n",
       "      <td>int64</td>\n",
       "      <td>int64</td>\n",
       "      <td>object</td>\n",
       "      <td>object</td>\n",
       "      <td>int64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>113681</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>224785</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>335813</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>372864</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>\n",
       "<div>Dask Name: getitem, 24 tasks</div>"
      ],
      "text/plain": [
       "Dask DataFrame Structure:\n",
       "                state   year  month    day    date    wday births\n",
       "npartitions=4                                                    \n",
       "1              object  int64  int64  int64  object  object  int64\n",
       "113681            ...    ...    ...    ...     ...     ...    ...\n",
       "224785            ...    ...    ...    ...     ...     ...    ...\n",
       "335813            ...    ...    ...    ...     ...     ...    ...\n",
       "372864            ...    ...    ...    ...     ...     ...    ...\n",
       "Dask Name: getitem, 24 tasks"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "subtable"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "and see that there are still no data there. Let's look at the task graph:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "subtable.visualize()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>state</th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "      <th>day</th>\n",
       "      <th>date</th>\n",
       "      <th>wday</th>\n",
       "      <th>births</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Unnamed: 0</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>1</th>\n",
       "      <td>AK</td>\n",
       "      <td>1969</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1969-01-01</td>\n",
       "      <td>Wed</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>AK</td>\n",
       "      <td>1969</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1969-01-02</td>\n",
       "      <td>Thurs</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>103</th>\n",
       "      <td>AK</td>\n",
       "      <td>1969</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>1969-01-03</td>\n",
       "      <td>Fri</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>154</th>\n",
       "      <td>AK</td>\n",
       "      <td>1969</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>1969-01-04</td>\n",
       "      <td>Sat</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>205</th>\n",
       "      <td>AK</td>\n",
       "      <td>1969</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>1969-01-05</td>\n",
       "      <td>Sun</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>372610</th>\n",
       "      <td>AK</td>\n",
       "      <td>1988</td>\n",
       "      <td>12</td>\n",
       "      <td>27</td>\n",
       "      <td>1988-12-27</td>\n",
       "      <td>Tues</td>\n",
       "      <td>38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>372661</th>\n",
       "      <td>AK</td>\n",
       "      <td>1988</td>\n",
       "      <td>12</td>\n",
       "      <td>28</td>\n",
       "      <td>1988-12-28</td>\n",
       "      <td>Wed</td>\n",
       "      <td>40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>372712</th>\n",
       "      <td>AK</td>\n",
       "      <td>1988</td>\n",
       "      <td>12</td>\n",
       "      <td>29</td>\n",
       "      <td>1988-12-29</td>\n",
       "      <td>Thurs</td>\n",
       "      <td>31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>372763</th>\n",
       "      <td>AK</td>\n",
       "      <td>1988</td>\n",
       "      <td>12</td>\n",
       "      <td>30</td>\n",
       "      <td>1988-12-30</td>\n",
       "      <td>Fri</td>\n",
       "      <td>28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>372814</th>\n",
       "      <td>AK</td>\n",
       "      <td>1988</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>1988-12-31</td>\n",
       "      <td>Sat</td>\n",
       "      <td>29</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>7306 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           state  year  month  day        date   wday  births\n",
       "Unnamed: 0                                                   \n",
       "1             AK  1969      1    1  1969-01-01    Wed      14\n",
       "52            AK  1969      1    2  1969-01-02  Thurs      20\n",
       "103           AK  1969      1    3  1969-01-03    Fri      20\n",
       "154           AK  1969      1    4  1969-01-04    Sat      16\n",
       "205           AK  1969      1    5  1969-01-05    Sun      18\n",
       "...          ...   ...    ...  ...         ...    ...     ...\n",
       "372610        AK  1988     12   27  1988-12-27   Tues      38\n",
       "372661        AK  1988     12   28  1988-12-28    Wed      40\n",
       "372712        AK  1988     12   29  1988-12-29  Thurs      31\n",
       "372763        AK  1988     12   30  1988-12-30    Fri      28\n",
       "372814        AK  1988     12   31  1988-12-31    Sat      29\n",
       "\n",
       "[7306 rows x 7 columns]"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "subtable.compute()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Statistics\n",
    "\n",
    "Extracting statistics also work seamlessly like for Pandas dataframes, but here again an optimized task graph is calculated by Dask. For example here when calculating the variance and mean of a dataframe:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "mean_values = births_da.mean()\n",
    "var_values = births_da.var()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import dask\n",
    "dask.visualize((mean_values, var_values))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The ```apply``` function also works and is of course parallelized as well here:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/gw18g940/miniconda3/envs/dask_course/lib/python3.8/site-packages/dask/dataframe/core.py:4315: UserWarning: \n",
      "You did not provide metadata, so Dask is running your function on a small dataset to guess output types. It is possible that Dask will guess incorrectly.\n",
      "To provide an explicit output types or to silence this message, please provide the `meta=` keyword, as described in the map or apply function that you are using.\n",
      "  Before: .apply(func)\n",
      "  After:  .apply(func, meta=(None, 'int64'))\n",
      "\n",
      "  warnings.warn(meta_warning(meta))\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "births_da.apply(lambda x: x['births']**2, axis=1).visualize()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Re-arranging\n",
    "\n",
    "The important ```group``` function is also available in Dask:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "births_grouped = births_da.groupby('state')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "births_group_mean = births_grouped.mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "births_group_mean.visualize()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "      <th>day</th>\n",
       "      <th>births</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>state</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>AK</th>\n",
       "      <td>1978.499726</td>\n",
       "      <td>6.523542</td>\n",
       "      <td>15.731727</td>\n",
       "      <td>25.374350</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AL</th>\n",
       "      <td>1978.492615</td>\n",
       "      <td>6.522566</td>\n",
       "      <td>15.743846</td>\n",
       "      <td>165.039934</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AR</th>\n",
       "      <td>1978.497674</td>\n",
       "      <td>6.522845</td>\n",
       "      <td>15.739808</td>\n",
       "      <td>93.600547</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AZ</th>\n",
       "      <td>1978.496854</td>\n",
       "      <td>6.521067</td>\n",
       "      <td>15.739672</td>\n",
       "      <td>129.580575</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CA</th>\n",
       "      <td>1978.484778</td>\n",
       "      <td>6.522048</td>\n",
       "      <td>15.770375</td>\n",
       "      <td>1067.956997</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CO</th>\n",
       "      <td>1978.501027</td>\n",
       "      <td>6.522930</td>\n",
       "      <td>15.729637</td>\n",
       "      <td>129.552088</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CT</th>\n",
       "      <td>1978.494530</td>\n",
       "      <td>6.519967</td>\n",
       "      <td>15.743572</td>\n",
       "      <td>112.737691</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DC</th>\n",
       "      <td>1978.494597</td>\n",
       "      <td>6.521953</td>\n",
       "      <td>15.741622</td>\n",
       "      <td>58.195732</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DE</th>\n",
       "      <td>1978.498426</td>\n",
       "      <td>6.522650</td>\n",
       "      <td>15.733817</td>\n",
       "      <td>25.825236</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FL</th>\n",
       "      <td>1978.498563</td>\n",
       "      <td>6.523471</td>\n",
       "      <td>15.733817</td>\n",
       "      <td>359.148898</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GA</th>\n",
       "      <td>1978.491523</td>\n",
       "      <td>6.524200</td>\n",
       "      <td>15.747881</td>\n",
       "      <td>251.521739</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HI</th>\n",
       "      <td>1978.499726</td>\n",
       "      <td>6.523542</td>\n",
       "      <td>15.731727</td>\n",
       "      <td>47.265125</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>IA</th>\n",
       "      <td>1978.500000</td>\n",
       "      <td>6.522310</td>\n",
       "      <td>15.731454</td>\n",
       "      <td>119.108815</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ID</th>\n",
       "      <td>1978.500684</td>\n",
       "      <td>6.523542</td>\n",
       "      <td>15.731727</td>\n",
       "      <td>45.567068</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>IL</th>\n",
       "      <td>1978.489882</td>\n",
       "      <td>6.520919</td>\n",
       "      <td>15.748018</td>\n",
       "      <td>488.039923</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>IN</th>\n",
       "      <td>1978.496786</td>\n",
       "      <td>6.520996</td>\n",
       "      <td>15.741485</td>\n",
       "      <td>233.006976</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>KS</th>\n",
       "      <td>1978.494050</td>\n",
       "      <td>6.521680</td>\n",
       "      <td>15.741759</td>\n",
       "      <td>98.729449</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>KY</th>\n",
       "      <td>1978.492274</td>\n",
       "      <td>6.522768</td>\n",
       "      <td>15.745932</td>\n",
       "      <td>153.559415</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LA</th>\n",
       "      <td>1978.497469</td>\n",
       "      <td>6.522917</td>\n",
       "      <td>15.737994</td>\n",
       "      <td>207.178137</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MA</th>\n",
       "      <td>1978.490636</td>\n",
       "      <td>6.523718</td>\n",
       "      <td>15.750239</td>\n",
       "      <td>216.457553</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MD</th>\n",
       "      <td>1978.495281</td>\n",
       "      <td>6.522637</td>\n",
       "      <td>15.741622</td>\n",
       "      <td>150.657366</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ME</th>\n",
       "      <td>1978.495827</td>\n",
       "      <td>6.521959</td>\n",
       "      <td>15.737584</td>\n",
       "      <td>43.806950</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MI</th>\n",
       "      <td>1978.488051</td>\n",
       "      <td>6.519050</td>\n",
       "      <td>15.765806</td>\n",
       "      <td>387.427694</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MN</th>\n",
       "      <td>1978.491046</td>\n",
       "      <td>6.519481</td>\n",
       "      <td>15.749829</td>\n",
       "      <td>173.539029</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MO</th>\n",
       "      <td>1978.496101</td>\n",
       "      <td>6.521959</td>\n",
       "      <td>15.737447</td>\n",
       "      <td>210.423998</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MS</th>\n",
       "      <td>1978.494802</td>\n",
       "      <td>6.522572</td>\n",
       "      <td>15.740082</td>\n",
       "      <td>121.646101</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MT</th>\n",
       "      <td>1978.501027</td>\n",
       "      <td>6.522930</td>\n",
       "      <td>15.729637</td>\n",
       "      <td>34.754825</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NC</th>\n",
       "      <td>1978.499658</td>\n",
       "      <td>6.522650</td>\n",
       "      <td>15.733543</td>\n",
       "      <td>240.947448</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ND</th>\n",
       "      <td>1978.501027</td>\n",
       "      <td>6.522930</td>\n",
       "      <td>15.729637</td>\n",
       "      <td>32.675702</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NE</th>\n",
       "      <td>1978.501027</td>\n",
       "      <td>6.522930</td>\n",
       "      <td>15.729637</td>\n",
       "      <td>69.408077</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NH</th>\n",
       "      <td>1978.497126</td>\n",
       "      <td>6.521346</td>\n",
       "      <td>15.735495</td>\n",
       "      <td>36.259442</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NJ</th>\n",
       "      <td>1978.489551</td>\n",
       "      <td>6.524519</td>\n",
       "      <td>15.762737</td>\n",
       "      <td>271.122797</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NM</th>\n",
       "      <td>1978.497537</td>\n",
       "      <td>6.523262</td>\n",
       "      <td>15.735632</td>\n",
       "      <td>65.893404</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NV</th>\n",
       "      <td>1978.498700</td>\n",
       "      <td>6.522239</td>\n",
       "      <td>15.733543</td>\n",
       "      <td>33.046394</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NY</th>\n",
       "      <td>1978.475931</td>\n",
       "      <td>6.522296</td>\n",
       "      <td>15.786854</td>\n",
       "      <td>702.754534</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>OH</th>\n",
       "      <td>1978.491051</td>\n",
       "      <td>6.520700</td>\n",
       "      <td>15.757754</td>\n",
       "      <td>455.844514</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>OK</th>\n",
       "      <td>1978.499726</td>\n",
       "      <td>6.522584</td>\n",
       "      <td>15.731727</td>\n",
       "      <td>127.695182</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>OR</th>\n",
       "      <td>1978.498700</td>\n",
       "      <td>6.523197</td>\n",
       "      <td>15.733817</td>\n",
       "      <td>105.074997</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PA</th>\n",
       "      <td>1978.481037</td>\n",
       "      <td>6.522237</td>\n",
       "      <td>15.780355</td>\n",
       "      <td>444.353615</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RI</th>\n",
       "      <td>1978.501027</td>\n",
       "      <td>6.522930</td>\n",
       "      <td>15.729637</td>\n",
       "      <td>36.281725</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SC</th>\n",
       "      <td>1978.491933</td>\n",
       "      <td>6.523106</td>\n",
       "      <td>15.747881</td>\n",
       "      <td>133.788214</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SD</th>\n",
       "      <td>1978.501027</td>\n",
       "      <td>6.522930</td>\n",
       "      <td>15.729637</td>\n",
       "      <td>32.270226</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TN</th>\n",
       "      <td>1978.497537</td>\n",
       "      <td>6.522031</td>\n",
       "      <td>15.735495</td>\n",
       "      <td>194.070744</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TX</th>\n",
       "      <td>1978.478445</td>\n",
       "      <td>6.522647</td>\n",
       "      <td>15.780764</td>\n",
       "      <td>718.072715</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>UT</th>\n",
       "      <td>1978.499658</td>\n",
       "      <td>6.522650</td>\n",
       "      <td>15.733543</td>\n",
       "      <td>97.681538</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>VA</th>\n",
       "      <td>1978.496033</td>\n",
       "      <td>6.523529</td>\n",
       "      <td>15.740082</td>\n",
       "      <td>209.090287</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>VT</th>\n",
       "      <td>1978.501027</td>\n",
       "      <td>6.522930</td>\n",
       "      <td>15.729637</td>\n",
       "      <td>20.244490</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>WA</th>\n",
       "      <td>1978.499863</td>\n",
       "      <td>6.522310</td>\n",
       "      <td>15.731590</td>\n",
       "      <td>167.277443</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>WI</th>\n",
       "      <td>1978.494460</td>\n",
       "      <td>6.521953</td>\n",
       "      <td>15.741485</td>\n",
       "      <td>192.362878</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>WV</th>\n",
       "      <td>1978.496033</td>\n",
       "      <td>6.521067</td>\n",
       "      <td>15.739398</td>\n",
       "      <td>76.300000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>WY</th>\n",
       "      <td>1978.501027</td>\n",
       "      <td>6.522930</td>\n",
       "      <td>15.729637</td>\n",
       "      <td>21.084052</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              year     month        day       births\n",
       "state                                               \n",
       "AK     1978.499726  6.523542  15.731727    25.374350\n",
       "AL     1978.492615  6.522566  15.743846   165.039934\n",
       "AR     1978.497674  6.522845  15.739808    93.600547\n",
       "AZ     1978.496854  6.521067  15.739672   129.580575\n",
       "CA     1978.484778  6.522048  15.770375  1067.956997\n",
       "CO     1978.501027  6.522930  15.729637   129.552088\n",
       "CT     1978.494530  6.519967  15.743572   112.737691\n",
       "DC     1978.494597  6.521953  15.741622    58.195732\n",
       "DE     1978.498426  6.522650  15.733817    25.825236\n",
       "FL     1978.498563  6.523471  15.733817   359.148898\n",
       "GA     1978.491523  6.524200  15.747881   251.521739\n",
       "HI     1978.499726  6.523542  15.731727    47.265125\n",
       "IA     1978.500000  6.522310  15.731454   119.108815\n",
       "ID     1978.500684  6.523542  15.731727    45.567068\n",
       "IL     1978.489882  6.520919  15.748018   488.039923\n",
       "IN     1978.496786  6.520996  15.741485   233.006976\n",
       "KS     1978.494050  6.521680  15.741759    98.729449\n",
       "KY     1978.492274  6.522768  15.745932   153.559415\n",
       "LA     1978.497469  6.522917  15.737994   207.178137\n",
       "MA     1978.490636  6.523718  15.750239   216.457553\n",
       "MD     1978.495281  6.522637  15.741622   150.657366\n",
       "ME     1978.495827  6.521959  15.737584    43.806950\n",
       "MI     1978.488051  6.519050  15.765806   387.427694\n",
       "MN     1978.491046  6.519481  15.749829   173.539029\n",
       "MO     1978.496101  6.521959  15.737447   210.423998\n",
       "MS     1978.494802  6.522572  15.740082   121.646101\n",
       "MT     1978.501027  6.522930  15.729637    34.754825\n",
       "NC     1978.499658  6.522650  15.733543   240.947448\n",
       "ND     1978.501027  6.522930  15.729637    32.675702\n",
       "NE     1978.501027  6.522930  15.729637    69.408077\n",
       "NH     1978.497126  6.521346  15.735495    36.259442\n",
       "NJ     1978.489551  6.524519  15.762737   271.122797\n",
       "NM     1978.497537  6.523262  15.735632    65.893404\n",
       "NV     1978.498700  6.522239  15.733543    33.046394\n",
       "NY     1978.475931  6.522296  15.786854   702.754534\n",
       "OH     1978.491051  6.520700  15.757754   455.844514\n",
       "OK     1978.499726  6.522584  15.731727   127.695182\n",
       "OR     1978.498700  6.523197  15.733817   105.074997\n",
       "PA     1978.481037  6.522237  15.780355   444.353615\n",
       "RI     1978.501027  6.522930  15.729637    36.281725\n",
       "SC     1978.491933  6.523106  15.747881   133.788214\n",
       "SD     1978.501027  6.522930  15.729637    32.270226\n",
       "TN     1978.497537  6.522031  15.735495   194.070744\n",
       "TX     1978.478445  6.522647  15.780764   718.072715\n",
       "UT     1978.499658  6.522650  15.733543    97.681538\n",
       "VA     1978.496033  6.523529  15.740082   209.090287\n",
       "VT     1978.501027  6.522930  15.729637    20.244490\n",
       "WA     1978.499863  6.522310  15.731590   167.277443\n",
       "WI     1978.494460  6.521953  15.741485   192.362878\n",
       "WV     1978.496033  6.521067  15.739398    76.300000\n",
       "WY     1978.501027  6.522930  15.729637    21.084052"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mean_births = births_group_mean.compute()\n",
    "mean_births"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "state\n",
       "CA    1067.956997\n",
       "TX     718.072715\n",
       "NY     702.754534\n",
       "IL     488.039923\n",
       "OH     455.844514\n",
       "PA     444.353615\n",
       "MI     387.427694\n",
       "FL     359.148898\n",
       "NJ     271.122797\n",
       "GA     251.521739\n",
       "Name: births, dtype: float64"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mean_births.births.nlargest(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Larger files\n",
    "\n",
    "The birth dataset is not very large and dask doesn't really help because it fits in RAM and the overhead of communication betweeen processes is too important.\n",
    "\n",
    "Let's look at a case where files are larger and/or our dataset is split between multiple files. This dataset is taken from [Zenodo](https://zenodo.org/record/834557#.Xj0fMxP0nOS) and represents an analysis of all edits made to Wikipedia pages from its beginning to 2016.\n",
    "\n",
    "Data are split among multiple zip files, each containing multiple \"largish\" (500Mb) CSV files. Let's look at one of them:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [],
   "source": [
    "filepath = '../Data/20161101-current_content-parts-1-50-pageids-12-117215/20161101-current_content-part1-12-1728.csv'\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [],
   "source": [
    "wikipedia_changes = dd.read_csv(filepath)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div><strong>Dask DataFrame Structure:</strong></div>\n",
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>page_id</th>\n",
       "      <th>last_rev_id</th>\n",
       "      <th>token_id</th>\n",
       "      <th>str</th>\n",
       "      <th>origin_rev_id</th>\n",
       "      <th>in</th>\n",
       "      <th>out</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>npartitions=9</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></th>\n",
       "      <td>int64</td>\n",
       "      <td>int64</td>\n",
       "      <td>int64</td>\n",
       "      <td>object</td>\n",
       "      <td>int64</td>\n",
       "      <td>object</td>\n",
       "      <td>object</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>\n",
       "<div>Dask Name: read-csv, 9 tasks</div>"
      ],
      "text/plain": [
       "Dask DataFrame Structure:\n",
       "              page_id last_rev_id token_id     str origin_rev_id      in     out\n",
       "npartitions=9                                                                   \n",
       "                int64       int64    int64  object         int64  object  object\n",
       "                  ...         ...      ...     ...           ...     ...     ...\n",
       "...               ...         ...      ...     ...           ...     ...     ...\n",
       "                  ...         ...      ...     ...           ...     ...     ...\n",
       "                  ...         ...      ...     ...           ...     ...     ...\n",
       "Dask Name: read-csv, 9 tasks"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "wikipedia_changes"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We see that here Dask decided by default to split the file into 9 partitions because of its size. Let's look at a few lines:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>page_id</th>\n",
       "      <th>last_rev_id</th>\n",
       "      <th>token_id</th>\n",
       "      <th>str</th>\n",
       "      <th>origin_rev_id</th>\n",
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       "      <td>12</td>\n",
       "      <td>746687538</td>\n",
       "      <td>1623</td>\n",
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       "      <td>233194</td>\n",
       "      <td>[391426, 988138, 6540619, 6551217, 12116305, 1...</td>\n",
       "      <td>[391368, 407005, 6539886, 6540818, 12116304, 1...</td>\n",
       "    </tr>\n",
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       "      <td>[391381, 871060, 18310026, 18310134, 47417405,...</td>\n",
       "    </tr>\n",
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       "      <th>3</th>\n",
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       "      <td>746687538</td>\n",
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       "      <td>=</td>\n",
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       "      <td>[83542729, 160471915]</td>\n",
       "      <td>[367665, 83543709]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>12</td>\n",
       "      <td>746687538</td>\n",
       "      <td>4508</td>\n",
       "      <td>=</td>\n",
       "      <td>320749</td>\n",
       "      <td>[83542729, 160471915]</td>\n",
       "      <td>[367665, 83543709]</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   page_id  last_rev_id  token_id   str  origin_rev_id  \\\n",
       "0       12    746687538      1623   see         233194   \n",
       "1       12    746687538      1624  also         233194   \n",
       "2       12    746687538      3519     .         178538   \n",
       "3       12    746687538      4507     =         320749   \n",
       "4       12    746687538      4508     =         320749   \n",
       "\n",
       "                                                  in  \\\n",
       "0  [391426, 988138, 6540619, 6551217, 12116305, 1...   \n",
       "1  [391426, 988138, 6540619, 6551217, 12116305, 1...   \n",
       "2  [391426, 18309960, 18310083, 47354530, 1328933...   \n",
       "3                              [83542729, 160471915]   \n",
       "4                              [83542729, 160471915]   \n",
       "\n",
       "                                                 out  \n",
       "0  [391368, 407005, 6539886, 6540818, 12116304, 1...  \n",
       "1  [391368, 407005, 6539886, 6540818, 12116304, 1...  \n",
       "2  [391381, 871060, 18310026, 18310134, 47417405,...  \n",
       "3                                 [367665, 83543709]  \n",
       "4                                 [367665, 83543709]  "
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "wikipedia_changes.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The ```page_id``` corresponds to a specific Wikipedia topic, the ```str``` represents a given word that has been added or modified. The ```in``` and ```out``` arrays represent a sequence of events (referenced by an ID) of adding and removal, i.e. the longer the list, the most often this word has been edited.\n",
    "\n",
    "Here we can verify that with the default import into chunks, we have again the indexing problem:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   page_id  last_rev_id  token_id        str  origin_rev_id  \\\n",
       "0       12    746687538      1623        see         233194   \n",
       "0      593    744804419     36875         by      155262821   \n",
       "0      700    746750216      1260      check         619139   \n",
       "0      783    746647937    207927          [      655587695   \n",
       "0      864    745162899     76425          |      262349476   \n",
       "0      991    744928000      3073  important       18972725   \n",
       "0     1175    746229520     33743         ]]      576608421   \n",
       "0     1347    746716698     26536        jpg      163084252   \n",
       "0     1537    747000036    174476         </      477994012   \n",
       "\n",
       "                                                  in  \\\n",
       "0  [391426, 988138, 6540619, 6551217, 12116305, 1...   \n",
       "0  [164630979, 167839234, 183617334, 185043789, 1...   \n",
       "0                               [61773188, 91845565]   \n",
       "0                                        [707531216]   \n",
       "0  [314394579, 347669693, 348610355, 350408772, 4...   \n",
       "0  [77455083, 87982073, 156235181, 156235404, 163...   \n",
       "0                                        [654529644]   \n",
       "0                                        [294293698]   \n",
       "0  [489689538, 496207384, 511974564, 602763537, 6...   \n",
       "\n",
       "                                                 out  \n",
       "0  [391368, 407005, 6539886, 6540818, 12116304, 1...  \n",
       "0  [164630961, 167839008, 183617090, 185043774, 1...  \n",
       "0                               [61773072, 91844748]  \n",
       "0                                        [707530825]  \n",
       "0  [314394537, 347669682, 348610301, 350408703, 4...  \n",
       "0  [77453607, 87981675, 156235168, 156235397, 163...  \n",
       "0                                        [654529496]  \n",
       "0                                        [294293671]  \n",
       "0  [489689469, 496207260, 497925062, 579792032, 6...  "
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "wikipedia_changes.loc[0].compute()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "However we can use indexing without trouble. Let's recover the 20 first modifications of the page with ```page_id``` 593"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [],
   "source": [
    "first_words = wikipedia_changes[wikipedia_changes.page_id==593].loc[0:20].compute()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's see what strings we have here:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'by [[ george ]] , are puppet - animated films which typically use a different version of a puppet for different'"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "' '.join(list(first_words.str.values))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Seems to be [this page](https://www.google.com/search?q=animated+films+which+typically+use+a+different+version+of+a+puppet+for+different&oq=animated+films+which+typically+use+a+different+version+of+a+puppet+for+different&aqs=chrome..69i57.167j0j4&sourceid=chrome&ie=UTF-8)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Compare Pandas and Dask\n",
    "\n",
    "Let's see how Pandas and Dask compare on this single \"largish\" (500Mb) file. We can for example count occurrences of single words. We can use the same functions as in Pandas (```value_counts```) as dasks implements a very close API:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [],
   "source": [
    "count_str = wikipedia_changes.str.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "count_str.visualize()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [],
   "source": [
    "real_count = count_str.compute()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's look at the the few most used words or \"tokens\":"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "|        256476\n",
       "=        229648\n",
       ".        210243\n",
       ",        181501\n",
       "the      157474\n",
       "[[       141926\n",
       "]]       141926\n",
       "/        106560\n",
       "of       105209\n",
       "-         90254\n",
       "and       74325\n",
       "in        59890\n",
       ">         57475\n",
       "ref       54172\n",
       ":         52983\n",
       ")         47957\n",
       "(         47930\n",
       "to        44798\n",
       "a         44271\n",
       "}}        41837\n",
       "{{        41745\n",
       "*         39386\n",
       "<         38841\n",
       "</        28086\n",
       ";         27291\n",
       "&         25329\n",
       "is        21762\n",
       "as        18853\n",
       "for       17466\n",
       "title     16764\n",
       "Name: str, dtype: int64"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "real_count.head(n = 30)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we compare the performances of Pandas and Dask:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 193 ms, sys: 36.2 ms, total: 229 ms\n",
      "Wall time: 4.21 s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "wikipedia_changes = dd.read_csv(filepath)\n",
    "count_str = wikipedia_changes.str.value_counts()\n",
    "real_count = count_str.compute()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 4.9 s, sys: 502 ms, total: 5.4 s\n",
      "Wall time: 5.43 s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "wiki_pd = pd.read_csv(filepath)\n",
    "count_str = wiki_pd.str.value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As before with arrays, we don't see any difference with such a reasonable size dataset. **Big data tools often perform worse than classical tools.**"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Multiple large files\n",
    "\n",
    "We only looked at a tiny part of the dataset and found no big gain with Dask. We will now look at much more of the dataset (but still not the complete one).\n",
    "\n",
    "Dask offers the very useful feature of being able to open multiple files as one dask-dataframe by using the wild-card ```*``` or generating a file list. For example here, we have multiple CSV files in the folder and we can just say:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [],
   "source": [
    "wiki_large = dd.read_csv('../Data/20161101-current_content-parts-1-50-pageids-12-117215/2016*.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div><strong>Dask DataFrame Structure:</strong></div>\n",
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>page_id</th>\n",
       "      <th>last_rev_id</th>\n",
       "      <th>token_id</th>\n",
       "      <th>str</th>\n",
       "      <th>origin_rev_id</th>\n",
       "      <th>in</th>\n",
       "      <th>out</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>npartitions=35</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></th>\n",
       "      <td>int64</td>\n",
       "      <td>int64</td>\n",
       "      <td>int64</td>\n",
       "      <td>object</td>\n",
       "      <td>int64</td>\n",
       "      <td>object</td>\n",
       "      <td>object</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>\n",
       "<div>Dask Name: read-csv, 35 tasks</div>"
      ],
      "text/plain": [
       "Dask DataFrame Structure:\n",
       "               page_id last_rev_id token_id     str origin_rev_id      in     out\n",
       "npartitions=35                                                                   \n",
       "                 int64       int64    int64  object         int64  object  object\n",
       "                   ...         ...      ...     ...           ...     ...     ...\n",
       "...                ...         ...      ...     ...           ...     ...     ...\n",
       "                   ...         ...      ...     ...           ...     ...     ...\n",
       "                   ...         ...      ...     ...           ...     ...     ...\n",
       "Dask Name: read-csv, 35 tasks"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "wiki_large"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We see many more partitions, meaning that dask indeed considered all files. If we wanted to import the files with pandas we would have more trouble:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [],
   "source": [
    "import glob\n",
    "all_files = glob.glob('../Data/20161101-current_content-parts-1-50-pageids-12-117215/2016*.csv')\n",
    "#wiki_large_pd = pd.concat((pd.read_csv(f) for f in all_files))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['../Data/20161101-current_content-parts-1-50-pageids-12-117215/20161101-current_content-part2-1729-3376.csv',\n",
       " '../Data/20161101-current_content-parts-1-50-pageids-12-117215/20161101-current_content-part3-3378-4631.csv',\n",
       " '../Data/20161101-current_content-parts-1-50-pageids-12-117215/20161101-current_content-part1-12-1728.csv',\n",
       " '../Data/20161101-current_content-parts-1-50-pageids-12-117215/20161101-current_content-part4-4633-5902.csv']"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_files"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's time again the same taks as before:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 668 ms, sys: 127 ms, total: 795 ms\n",
      "Wall time: 14.7 s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "wiki_large = dd.read_csv('../Data/20161101-current_content-parts-1-50-pageids-12-117215/2016*.csv')\n",
    "count_str = wiki_large.str.value_counts()\n",
    "real_count = count_str.compute()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 22.6 s, sys: 3.17 s, total: 25.8 s\n",
      "Wall time: 26 s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "all_files = glob.glob('../Data/20161101-current_content-parts-1-50-pageids-12-117215/2016*.csv')\n",
    "wiki_large_pd = pd.concat([pd.read_csv(f) for f in all_files])\n",
    "count_str = wiki_large_pd.str.value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Exercise\n",
    "\n",
    "1. Create a dask-dataframe from one of the files in the ```../Data/NYC_Taxi``` folder (see [here](https://www1.nyc.gov/assets/tlc/downloads/pdf/data_dictionary_trip_records_yellow.pdf) for information)\n",
    "2. Using default import, in how many chunks is the data split ? \n",
    "3. Try to understand the file by looking at the columns and the few first lines\n",
    "4. Calculate the average trip distance for each pick-up location (PULocationID) using groupy and get the 10 longest trips. When executing, you should get an error. Use the information provided in the error report to fix the issue.\n",
    "5. Which PULocationID has the largest distances. Check in the ```taxi+_zone_lookup.csv``` file if it makes sense.\n",
    "6. Load all the trip files (for several months) using Dask\n",
    "7. Change the type of the drop-off time to ```'M8[us]```, the numpy dtype for timestamp dates\n",
    "8. Using ```apply``` extract the month from that time-stamp\n",
    "9. Group data by month, and calculate the sum of trip distances\n",
    "10. Plot the total distance by month"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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