{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Timeseries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "-"
    }
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "%matplotlib inline\n",
    "pd.options.display.max_rows = 12\n",
    "pd.options.display.max_columns = 8\n",
    "pd.options.display.width = 80"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "nice blog on Seattle bikeshare\n",
    "\n",
    "https://jakevdp.github.io/blog/2015/10/17/analyzing-pronto-cycleshare-data-with-python-and-pandas/"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    "Get the NYC data for Sept 2015\n",
    "\n",
    "https://www.citibikenyc.com/system-data\n",
    "\n",
    "```\n",
    "unzip data/201509-citibike-tripdata.zip\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\"tripduration\",\"starttime\",\"stoptime\",\"start station id\",\"start station name\",\"start station latitude\",\"start station longitude\",\"end station id\",\"end station name\",\"end station latitude\",\"end station longitude\",\"bikeid\",\"usertype\",\"birth year\",\"gender\"\r",
      "\r\n",
      "\"288\",\"9/1/2015 00:00:00\",\"9/1/2015 00:04:48\",\"263\",\"Elizabeth St & Hester St\",\"40.71729\",\"-73.996375\",\"307\",\"Canal St & Rutgers St\",\"40.71427487\",\"-73.98990025\",\"15479\",\"Subscriber\",\"1989\",\"1\"\r",
      "\r\n",
      "\"165\",\"9/1/2015 00:00:00\",\"9/1/2015 00:02:45\",\"495\",\"W 47 St & 10 Ave\",\"40.76269882\",\"-73.99301222\",\"449\",\"W 52 St & 9 Ave\",\"40.76461837\",\"-73.98789473\",\"23899\",\"Subscriber\",\"1987\",\"1\"\r",
      "\r\n",
      "\"367\",\"9/1/2015 00:00:01\",\"9/1/2015 00:06:08\",\"3119\",\"Vernon Blvd & 50 Ave\",\"40.74232744\",\"-73.95411749\",\"3118\",\"McGuinness Blvd & Eagle St\",\"40.73555\",\"-73.95284\",\"23921\",\"Customer\",\"\",\"0\"\r",
      "\r\n",
      "\"926\",\"9/1/2015 00:00:07\",\"9/1/2015 00:15:34\",\"536\",\"1 Ave & E 30 St\",\"40.74144387\",\"-73.97536082\",\"340\",\"Madison St & Clinton St\",\"40.71269042\",\"-73.98776323\",\"23256\",\"Subscriber\",\"1992\",\"1\"\r",
      "\r",
      "\r\n"
     ]
    }
   ],
   "source": [
    "!head -5 data/201509-citibike-tripdata.csv"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>tripduration</th>\n",
       "      <th>starttime</th>\n",
       "      <th>stoptime</th>\n",
       "      <th>start station id</th>\n",
       "      <th>...</th>\n",
       "      <th>bikeid</th>\n",
       "      <th>usertype</th>\n",
       "      <th>birth year</th>\n",
       "      <th>gender</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>288</td>\n",
       "      <td>2015-09-01 00:00:00</td>\n",
       "      <td>2015-09-01 00:04:48</td>\n",
       "      <td>263</td>\n",
       "      <td>...</td>\n",
       "      <td>15479</td>\n",
       "      <td>Subscriber</td>\n",
       "      <td>1989</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>165</td>\n",
       "      <td>2015-09-01 00:00:00</td>\n",
       "      <td>2015-09-01 00:02:45</td>\n",
       "      <td>495</td>\n",
       "      <td>...</td>\n",
       "      <td>23899</td>\n",
       "      <td>Subscriber</td>\n",
       "      <td>1987</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>367</td>\n",
       "      <td>2015-09-01 00:00:01</td>\n",
       "      <td>2015-09-01 00:06:08</td>\n",
       "      <td>3119</td>\n",
       "      <td>...</td>\n",
       "      <td>23921</td>\n",
       "      <td>Customer</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>926</td>\n",
       "      <td>2015-09-01 00:00:07</td>\n",
       "      <td>2015-09-01 00:15:34</td>\n",
       "      <td>536</td>\n",
       "      <td>...</td>\n",
       "      <td>23256</td>\n",
       "      <td>Subscriber</td>\n",
       "      <td>1992</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>658</td>\n",
       "      <td>2015-09-01 00:00:09</td>\n",
       "      <td>2015-09-01 00:11:07</td>\n",
       "      <td>347</td>\n",
       "      <td>...</td>\n",
       "      <td>17289</td>\n",
       "      <td>Subscriber</td>\n",
       "      <td>1976</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>392</td>\n",
       "      <td>2015-09-01 00:00:13</td>\n",
       "      <td>2015-09-01 00:06:46</td>\n",
       "      <td>2004</td>\n",
       "      <td>...</td>\n",
       "      <td>15438</td>\n",
       "      <td>Subscriber</td>\n",
       "      <td>1955</td>\n",
       "      <td>1</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",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1289693</th>\n",
       "      <td>203</td>\n",
       "      <td>2015-09-30 23:58:56</td>\n",
       "      <td>2015-10-01 00:02:19</td>\n",
       "      <td>439</td>\n",
       "      <td>...</td>\n",
       "      <td>21305</td>\n",
       "      <td>Subscriber</td>\n",
       "      <td>1982</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1289694</th>\n",
       "      <td>1200</td>\n",
       "      <td>2015-09-30 23:59:07</td>\n",
       "      <td>2015-10-01 00:19:07</td>\n",
       "      <td>3082</td>\n",
       "      <td>...</td>\n",
       "      <td>23295</td>\n",
       "      <td>Customer</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1289695</th>\n",
       "      <td>1195</td>\n",
       "      <td>2015-09-30 23:59:10</td>\n",
       "      <td>2015-10-01 00:19:05</td>\n",
       "      <td>3082</td>\n",
       "      <td>...</td>\n",
       "      <td>22286</td>\n",
       "      <td>Customer</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1289696</th>\n",
       "      <td>652</td>\n",
       "      <td>2015-09-30 23:59:44</td>\n",
       "      <td>2015-10-01 00:10:37</td>\n",
       "      <td>432</td>\n",
       "      <td>...</td>\n",
       "      <td>23486</td>\n",
       "      <td>Subscriber</td>\n",
       "      <td>1979</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1289697</th>\n",
       "      <td>1733</td>\n",
       "      <td>2015-09-30 23:59:48</td>\n",
       "      <td>2015-10-01 00:28:42</td>\n",
       "      <td>267</td>\n",
       "      <td>...</td>\n",
       "      <td>23705</td>\n",
       "      <td>Subscriber</td>\n",
       "      <td>1985</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1289698</th>\n",
       "      <td>1106</td>\n",
       "      <td>2015-09-30 23:59:57</td>\n",
       "      <td>2015-10-01 00:18:24</td>\n",
       "      <td>228</td>\n",
       "      <td>...</td>\n",
       "      <td>22529</td>\n",
       "      <td>Subscriber</td>\n",
       "      <td>1977</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1289699 rows × 15 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         tripduration           starttime            stoptime  \\\n",
       "0                 288 2015-09-01 00:00:00 2015-09-01 00:04:48   \n",
       "1                 165 2015-09-01 00:00:00 2015-09-01 00:02:45   \n",
       "2                 367 2015-09-01 00:00:01 2015-09-01 00:06:08   \n",
       "3                 926 2015-09-01 00:00:07 2015-09-01 00:15:34   \n",
       "4                 658 2015-09-01 00:00:09 2015-09-01 00:11:07   \n",
       "5                 392 2015-09-01 00:00:13 2015-09-01 00:06:46   \n",
       "...               ...                 ...                 ...   \n",
       "1289693           203 2015-09-30 23:58:56 2015-10-01 00:02:19   \n",
       "1289694          1200 2015-09-30 23:59:07 2015-10-01 00:19:07   \n",
       "1289695          1195 2015-09-30 23:59:10 2015-10-01 00:19:05   \n",
       "1289696           652 2015-09-30 23:59:44 2015-10-01 00:10:37   \n",
       "1289697          1733 2015-09-30 23:59:48 2015-10-01 00:28:42   \n",
       "1289698          1106 2015-09-30 23:59:57 2015-10-01 00:18:24   \n",
       "\n",
       "         start station id   ...   bikeid    usertype  birth year  gender  \n",
       "0                     263   ...    15479  Subscriber        1989       1  \n",
       "1                     495   ...    23899  Subscriber        1987       1  \n",
       "2                    3119   ...    23921    Customer         NaN       0  \n",
       "3                     536   ...    23256  Subscriber        1992       1  \n",
       "4                     347   ...    17289  Subscriber        1976       1  \n",
       "5                    2004   ...    15438  Subscriber        1955       1  \n",
       "...                   ...   ...      ...         ...         ...     ...  \n",
       "1289693               439   ...    21305  Subscriber        1982       1  \n",
       "1289694              3082   ...    23295    Customer         NaN       0  \n",
       "1289695              3082   ...    22286    Customer         NaN       0  \n",
       "1289696               432   ...    23486  Subscriber        1979       1  \n",
       "1289697               267   ...    23705  Subscriber        1985       2  \n",
       "1289698               228   ...    22529  Subscriber        1977       1  \n",
       "\n",
       "[1289699 rows x 15 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv('data/201509-citibike-tripdata.csv',\n",
    "                 infer_datetime_format=True, \n",
    "                 parse_dates=['starttime','stoptime'])\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 1289699 entries, 0 to 1289698\n",
      "Data columns (total 15 columns):\n",
      "tripduration               1289699 non-null int64\n",
      "starttime                  1289699 non-null datetime64[ns]\n",
      "stoptime                   1289699 non-null datetime64[ns]\n",
      "start station id           1289699 non-null int64\n",
      "start station name         1289699 non-null object\n",
      "start station latitude     1289699 non-null float64\n",
      "start station longitude    1289699 non-null float64\n",
      "end station id             1289699 non-null int64\n",
      "end station name           1289699 non-null object\n",
      "end station latitude       1289699 non-null float64\n",
      "end station longitude      1289699 non-null float64\n",
      "bikeid                     1289699 non-null int64\n",
      "usertype                   1289699 non-null object\n",
      "birth year                 1079586 non-null float64\n",
      "gender                     1289699 non-null int64\n",
      "dtypes: datetime64[ns](2), float64(5), int64(5), object(3)\n",
      "memory usage: 157.4+ MB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "starttime\n",
       "2015-09-01 00:00:00     313\n",
       "2015-09-01 01:00:00     151\n",
       "2015-09-01 02:00:00      91\n",
       "2015-09-01 03:00:00      34\n",
       "2015-09-01 04:00:00      47\n",
       "2015-09-01 05:00:00     282\n",
       "                       ... \n",
       "2015-09-30 18:00:00    4624\n",
       "2015-09-30 19:00:00    3051\n",
       "2015-09-30 20:00:00    2147\n",
       "2015-09-30 21:00:00    1463\n",
       "2015-09-30 22:00:00    1005\n",
       "2015-09-30 23:00:00     670\n",
       "Freq: H, Name: bikeid, dtype: int64"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "res = (df\n",
    "   .set_index('starttime')\n",
    "   .bikeid\n",
    "   .resample('H',how='count')\n",
    ")\n",
    "res"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1096d3ef0>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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LdZu3pWZZttLGhbQXjG0hc3rU9OoEMstBvvlmzo3x0Y8Cv/d79uUKPsyIxU03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\nqh/0D9xI7RtXXw2cOLExnm6SguXKK9f3OaZAZlWxkDh5E+BgBSwGGdgoh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X8F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\nTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1096d32e8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "res.plot.line(figsize=(12,12))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>usertype</th>\n",
       "      <th>Customer</th>\n",
       "      <th>Subscriber</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>starttime</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2015-09-01</th>\n",
       "      <td>4846</td>\n",
       "      <td>38445</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-09-02</th>\n",
       "      <td>4683</td>\n",
       "      <td>38542</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-09-03</th>\n",
       "      <td>5049</td>\n",
       "      <td>37830</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-09-04</th>\n",
       "      <td>6342</td>\n",
       "      <td>33614</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-09-05</th>\n",
       "      <td>13052</td>\n",
       "      <td>20953</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-09-06</th>\n",
       "      <td>14346</td>\n",
       "      <td>18853</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-09-25</th>\n",
       "      <td>7189</td>\n",
       "      <td>44179</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-09-26</th>\n",
       "      <td>11093</td>\n",
       "      <td>31467</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-09-27</th>\n",
       "      <td>9162</td>\n",
       "      <td>29123</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-09-28</th>\n",
       "      <td>5407</td>\n",
       "      <td>42604</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-09-29</th>\n",
       "      <td>4895</td>\n",
       "      <td>43830</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-09-30</th>\n",
       "      <td>2804</td>\n",
       "      <td>36641</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>30 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "usertype    Customer  Subscriber\n",
       "starttime                       \n",
       "2015-09-01      4846       38445\n",
       "2015-09-02      4683       38542\n",
       "2015-09-03      5049       37830\n",
       "2015-09-04      6342       33614\n",
       "2015-09-05     13052       20953\n",
       "2015-09-06     14346       18853\n",
       "...              ...         ...\n",
       "2015-09-25      7189       44179\n",
       "2015-09-26     11093       31467\n",
       "2015-09-27      9162       29123\n",
       "2015-09-28      5407       42604\n",
       "2015-09-29      4895       43830\n",
       "2015-09-30      2804       36641\n",
       "\n",
       "[30 rows x 2 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "res = (df\n",
    "   .groupby([pd.Grouper(key='starttime',freq='D'),'usertype'])\n",
    "   .starttime\n",
    "   .count()\n",
    "   .reset_index(level='usertype')\n",
    "   .pivot(columns='usertype')\n",
    "   .T.reset_index(level=0,drop=True).T # .reset_index(level=0,axis=1)\n",
    " )\n",
    "res"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x114d85518>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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CggKkpaUhJycHy5Ytg5eXFwBg0qRJKCsrw6lTp5CVlYU5c+bU7vPChQvIzc1FSkoKli1b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\nAAAAcvh/TQqevfr5xrgAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x119257668>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "res.plot.line(figsize=(12,12))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x114d8c908>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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9q2kqyIjRsIBc3DmT/RPIDwEZaCDXCnKoHmRrpQMHpLPPXnmMKRaIwbCALPEJB5ArAjLQ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\nRK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11c974be0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "r = df.set_index('starttime')\n",
    "(r['20150907':'20150914']\n",
    "                         .bikeid\n",
    "                         .resample('H',how='count')\n",
    "                         .plot\n",
    "                         .line(figsize=(12,12))\n",
    " )"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Frequency\n",
    "\n",
    "http://pandas.pydata.org/pandas-docs/stable/timeseries.html#dateoffset-objects"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "DatetimeIndex(['2013-01-01 09:00:00', '2013-01-02 09:00:00',\n",
       "               '2013-01-03 09:00:00', '2013-01-04 09:00:00',\n",
       "               '2013-01-05 09:00:00'],\n",
       "              dtype='datetime64[ns]', freq='D')"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "i = pd.date_range('20130101 09:00:00',periods=5)\n",
    "i"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "DatetimeIndex(['2013-01-01 10:00:00', '2013-01-02 10:00:00',\n",
       "               '2013-01-03 10:00:00', '2013-01-04 10:00:00',\n",
       "               '2013-01-05 10:00:00'],\n",
       "              dtype='datetime64[ns]', freq='D')"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "i + pd.offsets.Hour(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "DatetimeIndex(['2013-01-01 09:00:00', '2013-02-01 09:00:00',\n",
       "               '2013-03-01 09:00:00', '2013-04-01 09:00:00',\n",
       "               '2013-05-01 09:00:00'],\n",
       "              dtype='datetime64[ns]', freq='MS')"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "i = pd.date_range('20130101 09:00:00',periods=5,freq='MS')\n",
    "i"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "DatetimeIndex(['2013-01-31 09:00:00', '2013-02-28 09:00:00',\n",
       "               '2013-03-31 09:00:00', '2013-04-30 09:00:00',\n",
       "               '2013-05-31 09:00:00'],\n",
       "              dtype='datetime64[ns]', freq='M')"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "i + pd.offsets.MonthEnd()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "DatetimeIndex([       '2013-01-01 09:00:00', '2013-01-02 09:00:00.000010',\n",
       "               '2013-01-03 09:00:00.000020', '2013-01-04 09:00:00.000030',\n",
       "               '2013-01-05 09:00:00.000040', '2013-01-06 09:00:00.000050',\n",
       "               '2013-01-07 09:00:00.000060', '2013-01-08 09:00:00.000070',\n",
       "               '2013-01-09 09:00:00.000080', '2013-01-10 09:00:00.000090'],\n",
       "              dtype='datetime64[ns]', freq='86400000010U')"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "date_range(i[0], periods=10, freq='1D10U')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "# Timezones\n",
    "\n",
    "http://pandas.pydata.org/pandas-docs/stable/timeseries.html#time-zone-handling"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0   2013-01-01 09:00:00-05:00\n",
       "1   2013-01-02 09:00:00-05:00\n",
       "2   2013-01-03 09:00:00-05:00\n",
       "3   2013-01-04 09:00:00-05:00\n",
       "4   2013-01-05 09:00:00-05:00\n",
       "dtype: datetime64[ns, US/Eastern]"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "s = Series(pd.date_range('20130101 09:00:00',periods=5,tz='US/Eastern'))\n",
    "s"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0   2013-01-01 14:00:00+00:00\n",
       "1   2013-01-02 14:00:00+00:00\n",
       "2   2013-01-03 14:00:00+00:00\n",
       "3   2013-01-04 14:00:00+00:00\n",
       "4   2013-01-05 14:00:00+00:00\n",
       "dtype: datetime64[ns, UTC]"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "s.dt.tz_convert('UTC')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0   2013-01-01 14:00:00\n",
       "1   2013-01-02 14:00:00\n",
       "2   2013-01-03 14:00:00\n",
       "3   2013-01-04 14:00:00\n",
       "4   2013-01-05 14:00:00\n",
       "dtype: datetime64[ns]"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "s.astype('datetime64[ns]')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Timedeltas\n",
    "\n",
    "http://pandas.pydata.org/pandas-docs/stable/timedeltas.html"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0   1 days 00:00:00\n",
       "1   1 days 00:00:02\n",
       "2   1 days 00:00:04\n",
       "3   1 days 00:00:06\n",
       "4   1 days 00:00:08\n",
       "dtype: timedelta64[ns]"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "s = Series(pd.timedelta_range('1 day',periods=5,freq='2 s'))\n",
    "s"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Timedelta('1 days 00:00:00')"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "s[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "TimedeltaIndex(['0 days', '31 days', '59 days', '90 days', '120 days'], dtype='timedelta64[ns]', freq=None)"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# create from a date_range\n",
    "dr = pd.date_range('20130101 09:00:00',periods=5,freq='MS')\n",
    "dr-dr[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0     1 days 00:00:00\n",
       "1    32 days 00:00:02\n",
       "2    60 days 00:00:04\n",
       "3    91 days 00:00:06\n",
       "4   121 days 00:00:08\n",
       "dtype: timedelta64[ns]"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "r = s + (dr-dr[0])\n",
    "r"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0       86400\n",
       "1     2764802\n",
       "2     5184004\n",
       "3     7862406\n",
       "4    10454408\n",
       "dtype: float64"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "r.astype('timedelta64[s]')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>days</th>\n",
       "      <th>hours</th>\n",
       "      <th>minutes</th>\n",
       "      <th>seconds</th>\n",
       "      <th>milliseconds</th>\n",
       "      <th>microseconds</th>\n",
       "      <th>nanoseconds</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>32</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>60</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>91</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>121</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   days  hours  minutes  seconds  milliseconds  microseconds  nanoseconds\n",
       "0     1      0        0        0             0             0            0\n",
       "1    32      0        0        2             0             0            0\n",
       "2    60      0        0        4             0             0            0\n",
       "3    91      0        0        6             0             0            0\n",
       "4   121      0        0        8             0             0            0"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "r.dt.components"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "# Resampling Part 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2013-01-01 09:30:00.741    50.047144\n",
       "2013-01-01 09:30:00.030    49.880902\n",
       "2013-01-01 09:30:00.878    50.143271\n",
       "2013-01-01 09:30:00.900    49.968735\n",
       "2013-01-01 09:30:00.556    49.927941\n",
       "2013-01-01 09:30:00.198    50.088716\n",
       "                             ...    \n",
       "2013-01-01 09:30:00.391    49.944372\n",
       "2013-01-01 09:30:00.905    50.027216\n",
       "2013-01-01 09:30:00.297    50.093155\n",
       "2013-01-01 09:30:00.282    50.032753\n",
       "2013-01-01 09:30:00.731    50.074081\n",
       "2013-01-01 09:30:00.679    49.919809\n",
       "dtype: float64"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.random.seed(1234)\n",
    "rng = pd.date_range('20130101 09:30:00',periods=1000,freq='ms')\n",
    "s = Series(np.random.randn(1000)*.1+50,\n",
    "           index=rng.take(np.random.randint(0,\n",
    "                                            len(rng),\n",
    "                                            size=len(rng))))\n",
    "s"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x11a032a20>"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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kbXQnVN/HHt3JJTe6U8rRH3N0p29H39cZd8xCP3W/HDoEfOlL7debE93hnXGH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\nOfok9LUN0FQd/ZjQr+tyjn5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EfsjRl78N8fI2302Tpk4vq6NPv/G/+xD6sjNu1zeCpTL6\nJIBiQp8y+qGb7BRinXH37weuvXb+O94Zl6BtzHX0UzL6rugO32+511KX0Hf1JSgt9FMy+qnRna4z\n+inRnVxH38W9985G4fLNV9rRl/Tl6Ps646ZgQr8HNI5+151xH3xQf8EB0oT+lB39nIx+iNioO11m\n9FOEvk+kA+2jO75G89ixJh9JI4fIcofK6iqfiyGEPtCdo68V+in0NeqO7H/giu504ejHOuMOMSpT\nDIruxDrjls7oA+Hozvr6YvvDp5dtjTajL49LanQn1Bk35OjHOuPSkMiExtHn0+Y6+l1Fd9o6+m0z\n+pzSjv4jH+lfj5wvJvQ1xy5lHP2uoju5nXFN6HdIivBKGVc9F19HOFd0hwv92CvrS4irKUV3YssF\n4tGdEkI/drGMCf0S0Z3UjP7WrYs3hiU74+YI37b4hFeKo699KiCPyZgdfb4eEmdy1J1lie7s3Anc\ncIO/TCFou7TRnZBYzXH0fdGdW291H1+e0XcJfU7J6M573jObLvRm3FzTrK4X24+Qo0/7jO+D3M64\nbYfX5B3PNY6+3M4+ojulM/opQp/+LhndkY5+V0K/RGdcE/odknLh7zq6A/jjO6HoToke8hr6ju5w\nod/Vm3GJvkbdKenob9oUd3N8v2mEvlwGf3lOjFB0ZwihT/gyliFSHX1Zv4YeR18T3aG61md0Z9Om\nfqI7xEc/Crz97e7fUhz9IUbdcUV3rr++eWeAz9EPRXc0jr4vuhPi53++ufmgGzm+Hq2jH2obqY5y\nQo6+zIjnxD+A8sNr5jj6bcbR79rRd6ER+q6bnJLRHZ7R7/OFWSb0R0aK8KKKsbbmfz102wtUTOjT\n3/yzRpRO2dHvI7rDRRGNulPizbhthX7oIrx1a/nOuEePNjdW8iJNF4BHPcq/Hlk+HynDBJaCypcj\n9Pm5rRH6VK+oTrjqaKqj/653ARdckL4cWlbM0ae65hL6O3fG15FSHk10p6uMvq98Wkdfk9EnR7+U\n0Afc0Z3rrmvKEhL6fH19OPrA/NMEvl9THf1cob+2NlsvvYCSLzNn/3c5vGbbjH7sGtBHRt/n6Kdk\n9OnvkLZq4+gDwHd8RzPaGFB2HH1z9CeCRqjTgbvoIuDXfz28nFy0jj4/6VOHgsxlCKHvGwuaKCX0\nCRK0qftUK/Sl+9KH0C8V3Vld9bv6IaE/ZkdfIyhjjr5chhT6JaI7//W/Nv8koeXkRHdcGf2zFt5m\n4ifF0W8r9D+qfCe6Zr/Hys3bBc0Ls0o7+tyZJK6/fnZ+yzLxtlNe27rO6PMnNj5HP9S2xjL6UgC7\nyulz9PsQ+l2NujPmN+OWEPo+R5//3kboVxWwezdw2WXN5xyhL6+nPkffOuOOjBxH/+DBxYth344+\nbwQ0Q0FO+YVZIUpl9InSjr7cZ6mOfii6w4W+b7qSQt91kfUxNqHfxtGXHVZ9yyb4kz9g+OjO2pr/\niZgrupPzangi1dFvE9158YvTy+dbrmZ9qdEdoJzQd3HDDTPxI0eacUV3eJm4mPJtT66jz/tg8GlL\nDa8p2w+XySCFfglHv21G3xXdoX5hRI6jr8nolxhH30VM6Od0xnW1VVSXUo9dSEPkCH3ffHI7zNEf\nGfJA+UQRMKv4LmdPI9w0xN6OS8vnj3FT8+S59O3oa94GmSMaQ45+rtD37Zu6Bl73utmFNUXoh5ZL\nmfm+HP3V1ZlL51sPJ7TvxuToa84J3jbkRHdc25tz3FMjQLkZ/TZohX7M0de0Ndobp1KOPqAT+qWH\n1/Rxww3z5zffZ7ztdF3beHwnNaOvEfqu6E6J4TXrOt4ZN+Tou6bXUDqjv77evKzuh35o8akaUWp4\nzZjQl45+qeE1c6I727a5Hf1Nm/IcfVdGPydKyXGZWBbdGTka4SWFvsvZKyX05YgXBHc7pKOviZlM\nOaMfonR0hxoGali0F4VQdAeYDX8qG+WYox+L7sQa+ZDY8Al9V0b/2LFFh1AuT5bP91vpjP5ddwF3\n3hmexndD1kV0R3bGjb04y+VgaYV+CM3wmnw9rhx4Kpr2r1R0R3vD6OqQmro+ane1GX06v7py9I8e\nbd6azYU+P8YhRx+Yf3N46Yy+JrqT0xmXPuc6+jnX6G9+s/m/dEa/rpsXnckhtXnZ5HH3nf+xp7rb\nt8/amFg9X18fdnjNE04IC/1Y+WMZfdc0shwxYo6+Cf0RkuLo85NFm2skzjoL+N//O1yW0Hj4baM7\nwPQc/a6jO659xt1GzQ0U7dNYdIfqToqj73Pjgdm+iT22TXX0jx51O/ok9LWOfp/Rnbe/vRnWT8MY\nO+Nu3w587nPhcsbK5oI/7h6bo18iupNTj3IdfSAtox8SxSWE/je/OesLQOuSGXhfZ1ygndCPwdtQ\nPo+2M66vTePLDZXL5ejnCv3f+I1m+i7ejHv06GKbQtviOg9zozv8OtaVo++6KbvvvnRHf8cOt/ER\nctJQY7QAACAASURBVPQ//Wn3OoDFjL6PtkJfOvqW0R85Wkc/lr2WfPWrwMc/Hl53qCGRbocU+n04\n+kNn9H/914E3vWl+mq464wK6+E5M6Lvqjut/37yhi7Dv1d5yGbnRHfl9rGM0EZumtNDfvTveUNNx\nbZPR1zr6Uuhr1vWud81/LhHd4WVLeTNuG7T7s4SjnxPdaZPRB4YZXtPF9dcD3/mdYaHv64wL6IS+\nS0ADujpHpkBJR9+Vz3dN53L0Q8sNsbbWmG+bNzc35Np5XPiEvsvRLy30aX9rRt1pM7wmRcIeeKA5\nD3z7zFUn19dnL66UhIT+VVfN/u7C0f+RH/HfpJqjPxE0jr50ZUMZ/dAFIybGH/KQ8O+0nqraOKPu\n8JP0rW8F3vjG+Wm6iu4A3Qj91OhOyNHvQ+jz8qdEd0K/dSH0NbhuiDUCjx+rHEffNZ2ch1+sgHLR\nHa3Qp21b9uhOjqNPv2k745bO6LuO+w03AN/1XfPntxQjoehO1xn9nM64spwuoS+HlnZN961vAVdf\n3fztcvRTDKv19bTYDqCP7qysLLYpbRx933Ghdi9kHBFtHf1/+qfm/z17gEc8Iv4EWN5k+KI71Ja5\nyiDTDhxuXuRm9C+/fP4pQ8zRX183oT86NA6ry5UNdb70ETvwmkeDrnJqR92ZotCPCY+pCf2+HX0g\nT+jL5fK4ha+s/G/fa8eB8kL/7rt107luiLtw9H3umS+LC7idKElOZ9zQCFN8PSQYlz2606ej71tu\nKaF/5plhRz/UGbePjH5qZ1xNRl8T3bn4YuDaa5u/2zr6dZ0u9Pt29GMZfTIGNdHDVEffVyf27AEe\n/vD49UJeN0KOvu+aFRL68jrpI8Vwc8VSzdEfORpHn37TOPqhChMTyiGhz8snG1DtqDttGTq646Kr\n4TWBMkJfum2ynpUS+qGMvq+B9gn9bduav+XN4ZYt+ow+LcPFEI4+3XwMkdHXtA0aoR8qm2+ZKY4+\n0P7YLLOjD8SHHTx4sBErNF8fjr6rDYp1xs1x9EtGd0L1OzWjL8vD3Vf+wqwcoU+OvjafD+hfmBXK\n6Lvqdu44+sDsWhYTvrmOvuTgQeDkk9Md/ZyMfsgAcWX0cyKQdQ3s2tX8bdGdCVLK0dc8Fiwh9F13\n79qMfo6jLytwn2iG19QK/X37gNe8Zrbcug53xgXKOvpy1APtsUiN7vz0TwM//MPz36c4+tQZF1is\nMyFHX8KFfpeO/toacM89umldjr5GUMYc/ZjQd00X2yd9RXd4Jz2XiEol1dHve3jNXEdf029nZQX4\nxCeAc86ZLbON0A85w9/8JnDGGfPntxx1p3RGfwzRHVfbwctJdYpo6+ivr+uH1rzrLuC97/Xvz2PH\n5suwsqJz9OmmLDejT8sjoR96s3BuRl/+trLSiN2Sjr7vfAotX2MWynK4fltfB37/95vP1hl3wqQ6\n+q7pYmK6RHTH5ehrx3wn9u8HXvYy3bRDCv2Sjv5XvjL7mxo8F3Wd1xk3FuXqK7pz003AP/zD/Pe5\n0Z0UoS+X5Yr/ECWF/p49+px9rqMvc+y+3wnqzyDrTqicQ0d36D0JfQl9WtdQ0Z1jx+bfNKx19ENt\nwoc/DHz3dwNPfWpTNt4p1Le8EBdf3Pwvj8kttwCPfWzjVvPzW0ZjQqPutHH0Y5SM7lx11WxajaO/\nefO8I9x21J26boa8Pvnk+LTXX9+su4Sjz697z352839uRh+YmRwxoR9y9F3EhH6pjH6qo0+UcPSp\n7rhMPXP0J0JJR58qo48hoztctH35y8D73heeXq6X1t0nJYW+fIQcijJMMaMfiu74hL7r+5DQD426\nI7cjFN0pOY6+tiMukO/o83NP6+ifcEJ5Rz8HbXQn1gdDi0ZEcSFIYsdXrhBthtfct68Z6Uh2kvfN\no7n5f+c7gV/6pebvUOdB7ZuHfcOz0og7tI5QRt8X3ekyo++L7qQ6+uvrwCteAdx44+xzrDOufLOz\ny9FPuY6trzdl5cZFrNyajH5du4W+y9HfubP533duxjL6wHx0J9T+ckdfM2qY7zp25IjO0ZdPM3yO\nvrYzrmv5bV+YRddKKqvrePFzo67N0R8drseDvmliGX3ZsElKCX3+GUgfXpO7OTHG7uj7Lvahl6qs\nrZUT+oQ2oy+Pn6aBcZEy6o6vgZbf13Xc0c/J6Hfp6GuFfglHXyv0V1fDQn/fvsV5hnL0+cVriOhO\n30JfZqApdxsrN+0Xn9N5zTXAHXc0Q/HR8n3b8JGPpJVZctNNM6HP2wjXC7MAt6gioR8asa2N0Ke6\ndP/9wJ//efN9jqPPBRZdY0OdcUs7+nTOp8Q/Uh19Xn6Xo3///c3/fUR3aB/T+yJC5oTvOyAvuhPL\n6PuuZdqMvgtZ53xl5TcZIUef6n7sxXouTOh3SClHH4gL/diB1wyv6Yvu+BrrAweaqA4wKxt3c3yc\nf/78PEBYIHdB6CSNNdYnneSffhkd/ZDQ10Z36HE/d0Ck0O8qo09voEylraOvuejHHH1XdGfHjsVM\nM033lrcsLqMroU/rdF08+fylhL5GoMt1ubZBs5ycsspjcddd8fXJp1quc/3CC4GXv3w2Shjf9ynC\n0oVrO888c1Hox8bRdzn6dE5ojoE2o8+P79ve1rjysnyaF2ZRG+VyZzkhR58iN7lCn9pgjdB3Ob4c\nKfQpox9y9A8fnr1Es43Q10Z3pKOvFfryt7FHd2g5VL7Yddh3nsn2hNaXGqcGTOh3iuuOTOJyZYeM\n7shyhobXfMc7gFtvTXf077hjfr003wtf6J/nxhubG4tS0MXKBRfYrseqMlMphX5ImI9J6PumKRHd\nkcuVQ2u2ie6EHnW7Gv8f/MFm/OtU2jr6GkGZ6ujHojuu49lFdEfj6PP19RXdkTGhIRx9KfRj52Es\nurN3L/D4x8+XTQr9Sy/VZb0lrmPy1KfOzk9XG+QaR5/vU9nBk3675ZbZNCWiO3wZseiOy9F3Cf2Q\no79ly/xN7RlnAP/zfy4uV0uOo58a3XE5+nRcyM0H4qPuhLZLG93hT024rvCZmDGh30dn3FRHv6rm\n+324yi+X5YvIye2g67IJ/ZGicfSpAXGJJzpBQhUmdvEOvXmPN3a+jP6VVy5WenID+DJSojspecan\nPQ141av008cIjbrDL26um4E2jn5OZ9zUUXe0DQzgd5FLO/oxoZ/SGTfk6LuO6doacPvt7mWH2L1b\nP8b15s3u8zYGbxu0Qn/HjsXhNUPHvEtHf9MmndDXOPrHjjWi1odW6PN1DZHRp//vvFO3vpQ2gaaX\nx/sLX2iGHSzBCSekR3dcjj4JurW15lrxlKfML4OTE93h+9Xl6N96K/BzPzc/Pz9f+Pb5hH7I0d+2\nDfj+78939PuI7oQ643KhrxlHn/L8ktRRd4DmWkDXrS1bwtpIQu+TGHp4TVdGn773lcNXXtfxNUd/\nImgcfenK+hx9l5DgpB54VxlcjS09lqO30nFo+hIZfQ0PPJA2fQhNdMd3M0BjWcvpabl9RXfkRTjF\n0efldX0XEvr7988EmVbo86cZQF5Gn/7nNwy/8RvA3/zN7LNvGSS6Uti9G3j0o+PT+Rx9rTCl/7XR\nnVxH//d+r4nNlRD6wGwEiFJC/7d+Czj1VP/v2voci+7w7X/rW5sIiKRPR5/QjkbC3WyaP7dviuuY\n8M6uvuiOxtHnQj92s6k1ffjx5ftO3ogAzdC411wzKwsQdvRdnXFDGf1t2xaXm2Je0c19l9EdXh76\n3SX0Y47+nj3A93zP/HKIUHSHw68BKUJ/bI4+4XP0Xde+EPw4uaJW/LjmCv2WLyU3QmiEl8vR912I\n2zj6GqhBdkV3XE8EXJVSk9GX82gFf8kOuxqh74v3+Fwfemw3lYw+lUkSE/rvehfw4INuQU/Tx46p\nK7oTg54g8TJfc00zBvF//I/NZ5/gobhYClqhD7QbdWfLFn10Z3V13tGX04UuVq97XTN04hOfGC9X\nDGonduwoJ/Rvuy38u/bGyTUijE+U3nOPu/wlMvr33ru4PhclHP3cWJRrPi6kQxl9vv6Yoy/bWlnX\ntRl9akNDL8ziT7ukg0uCXgp9aUQAzY3ac587+ywdfTIc2jr6mrYvxdGn7S7h6NM8KyszkSyfdLui\nO/fdN19uWlaOo19C6Icy+nKEKfmbb/m+jL72yS4vpza6Y47+CJEHuI2j3za6oylnKLoTWmdbR1/r\ngqS4JTG0jn5KI0wn4FBCP+WRIW88JLGM/srKbNQEraMvyYnuUN2SZeYvtfItI8fR37MHeMQj4tO1\ndfTpaZ3rOMtlSEdfnkOu48GPpa9zfe6oO1pHX5PRj7nS2v0pbyrkPpGRD1ffnxKOPgleraOfIvTl\nOV5ytCmX0JcZeDqeshxbtsxfA3zXD98x0Qh9WjdfhiujX9eLwo6upZroDo2a5NsWl6OfKvRDEVJZ\nbkDv6Lsy+iFH31cGLkD59Yg/VXVFd04/fX6d9HdJRz/2BFj2Twg5+pprlly+T0NoHX1eTte1Xm6H\nCf2RUsrRJyHRV3SHox0iTYqxlPVqb1L6dvRThT41eCFhnpPR9233UI4+3Yy2Efo0He2PNkL/7rtn\nf/uy2TmOvvaxOlBG6JeM7vB9yf/eulUv9ENoHX0SVRpHv4TQdz09CBkuJYW+PAYk9EPtdmqbQGWT\nDnhfjj5954vunHCC29GX5Gb06fhqHX0SdlyQc2HH20FZb2Snf9kWtHX06VqfEt3xRUyko+8adYeW\n4eqM64PmX1ubv+mTjj79rhlHH1gU+i58+7JNdKdERp9wZfRzHH1+Q6bpjEs6I6WumdDvmE99avYW\nwlxHH+jW0Sf4icgFmO/i09bRj+UOfdOXIFfoP/3p/umpwZtCRj/F0XcJJemIyd+1jj4XOTGHhuqW\n3B88LubbrhxHn5cvNl2b6M7mze4bfPqdQ0Lfd1Ph2u98v6YI/Zijv77eLM9XD2jdIfEt+22ESLlx\nCj2Rkk6wVujfdtssd+9bN/9f4+gD8+JHk9EfMrojs+yy3kmh7zOK2kZ35BNBbXSHn28xoS9fzCev\nF+Toy+VooWt9iqMPuPeny9GX52XI0fftd9cNhnT0Q6PuDOno8/lC0Z2So+7QulzTh8oZyuhLR59u\ndFPqmgn9DqnrRuh/6lOzzxK6WGpG3aHvL7tsUbiUiu4QdBJpojt8GTkZ/aGiO5rhNeU0//Jf+qcv\nHd0hUkfdaSv0gbBQIvemjaNPF0hez2Ji5ciRxWH1XOumMnJyHH2t0Afmz5N3vGO+LCHW19My+nLU\nHb4cPr3P0Q89oYutm0PRnc2bwwJ10yb3cIwkFHj9KSH0XTcVOdEdV1n4k6NQ+aTQjzn6RIqjL28q\nuoruSCNK5pLlNp9wgrszriTX0c+N7vAnfVzo8/0oj7nG0W8b3ckR+q46wl9AxaM72ox+TOiHHP3Q\nqDtyWS5Hn8wCSUzop7QX5Oi3EfrXXju/XF9GXy5H4+i7TD25/fyJSWp8x4R+h9R1M1JMSNDWdeMM\nhF6YtX//fKP77ncDn/70/DSlojtUYbkg1WT0peuast4hHP3c4TVDd/g+oU8Xu9KOvrwIy3qmEfoh\nJ1ZOS3BH39dApzr62ujOySfnCf17750fDlYDvxGJwc+Td75zviyxdaREd7Sdcfk52UV0h8q2aVNc\n6GujOyUd/S6iOzFBJs87bUZfPj3VnDtdOvpcSEtHnxskrn2sje6Ebr5CpEZ3XI4+F3b8vIlFd+S1\ngBx/uRwtdK0v7ejTdvPjx5ehEfpXXz0v7imqCSwOlcxH3ZHnTQlHX9KmM64rukN1PSb0f/VX53/z\njbrTxtHXZPQBE/qjQgp9X2Xevn3elZUn8otf3LhJfH5ZYUs7+inRHc4yZPT5SZeT0ZeiZ9u2WcM7\nlugOoXH0XUKpbUZfOvqaF2a5hD7NL7dZbtf27eHYhQuXy+crHxc02tFWaJpUR9/VGdd1DrvWXzK6\no3X0XS67b9oQWqEfc/T59pcU+jmOPjBvrmgeyQ+Z0ZcGicvR7zKj74vu+Bx9irDkZPTl8e7K0ddc\nY3id0ER3Qhl9jdB/5jOBP/uzZv6qapbvuy5qozvS0adjlhvd8eET+tLRP3IE+NM/DXfG5fWB5nU5\n7CFjoZSjb0J/pNT1zI0H/KKIvxLa5eiTeObzy0dQpTP6KdGdto7+UNGdLhx9V0af3At+wRnzqDvA\nuKI7vG495CHz+4NeXkZizbfPHvvY9Jw+P14x6Njzdz2kOPqu8961jJTOuK71l4zuaB39PoV+qehO\nG0d/fb25IU0ddQfQtQsuR7+vUXdccQVejhNPnI9vaoV+SkbfFd2Rw3/yZfG6yc832r5DhxpRG6uj\nrow+LTNX6KeOugO460eOo89fTucq96FD80aEz9HXRndyHX3525Ej6UK/rheF/h13NC9S1EZ3pKHG\nn2DkdMblv3PX3rcdfH0m9EdG7MJPlX/LlqYi+Zw9Ob909EtEd846Ky26Q5VzI3XG1UR35LGgG7nU\nEzVV6Gsc/WuuWXSyXGiiO775tUKf/x96YRbhcvRpPeSi+9b7uMd1J/S5o8/XoXX0S4y6AyzGGVz7\nwufo796dJlKko+96JE5loumGiO5s2+auv4SvM64v0qIpX13PC/1YRl/GRWIdcrnr37ejL9tN2da4\nMvquuprr6KdGd4BG3MmMPo/u3Hor8Ed/FG9/NI5+yjWKbu7bRndk5CuW0aftXFtrjBO5fA4JfR7j\ncXXGpehOiqPfNrrjw3UsXI4+7Rut0HelKEpEd1wROdd2mKM/Uupal9GvqllOX7qkPFfclaPvqoh9\ndsZdFqHvi+7Q6BMrK90I/ZTOuM9/fjM+dIqj7xP6PkGf4+jnRndom/fscZeVeMQjZjcDWnIcfS70\ntY5+6guzfBc5mctPie4ATSf/0Lrluko7+qWEPl/Xtm1xR//gwcVp+nL0gcXO0jmOfq7Q564uERP6\nPKMvr20pGf319cWX4GkcfSqfvGEjpNDnAo3aHGqj6no2b6qjz2ODuY6+Vuj7nl4AszrDj4XmzbgA\ncMop4XKvr8/aDG4saaM7nFRH31cncqI75OjzupAr9Pm1s8/oDo8KmdAfEXU9H93xiaKqmlV8ecHf\nuXN+WkIK/VIi2OW0djW8ZqoL0ldGn590KW5LaNSdbdvKC/2cjP7hw4sXBRchoU/ujbwp5dOnCv3c\nzrhaRz8l2sD3XxtHP8WBTsnob9kyq5f8dyl+XOunGxLXdu3fHy8vx5XR/9u/XXzj5pDRHbqJ4rhE\n04MPxsuSktHfvr35n57SxuYh+o7u/NmfAZdfPv8dPxe5uANmQpvKQdB027fP33yEoju//dvNjQEt\nly/HB39ik+Lo83JyoU/HiMqbIvRpHr6uroR+yNGXQr+udaPubNkyiz76yk3lkxl9bXSnhKNfQuiv\nry8Or6kR+hwp9LnwJvrqjBsbfU6i6AZi5KJ19Ddtmnf0+QHkHQh5heF3pqljqrrKIMl19Mc+6s7/\n+B/AGWeEO0HxcpXI6ANNw5Yr9GNRrhShf+TIvDuTk9Hnjn5bod921J319ebciTn6KXDRkero82E8\nu4rubN26eHEH5hv/mKPvEhdy/TmO/lvf2uS0ZZmGiO7QuxnkfD6h/9CHzpdbkjLqzqZNs7x6aUe/\nZHQHAO67b3H5tDyqE7GnilJEUplCQv+GG+Y/a/BFd2KOPhfkchx9raMful7EhL7MtdO0OUJf4+hT\nn7CQ0D/1VN2NlSuj73phVkzohxz90Da7hP6OHf4y+4Q+7X96Uk/7UTvqjiaj7yqvxtEPCf3YEwQN\n5uh3iMbRp7tcn6PPhb4vuqNpKGLlJFIy+i5HP2UIwyGE/q5djePYZUY/5Oj30RnX547RBUAj9EMN\nV0mhz+uZJqMvO+MCwCMfWU7oyycZOY4+uU2asnDhoXX0SehLZHQn5OiXEPouR18uh6YbwtHfutVt\ngvDyUV2SOf02GX26ASKhn+LoazL6JaM7Lrh4CQl9VxuRIvRlhpovx4cvuiM74/I2yOXo8+ghzZua\n0Qdm51noGn/s2OLLt2hbcqI7MUef2nnALRy50I/td21Gv804+l1l9F03GXyEQ+7o+65ZfWT0+bpd\n5il39HOf3JnQ75D19eYCEnP0ZUZfE93hlU4zPJcWfpcL6IfXTBXtfB6tgC8h9OlmKvSYNlfo075y\n7a+tW2cvfAKG6YxLFzy+PL5Pafx3IB7dSc3o80YeKOfo1zVw2mlpQ1qG4Mc7x9G/807g2799vtzP\nfe7iey8I7piVFPq0bEmKox8ilNHn6x0ioy8dfV4eenpCULml0HddUGMXWX6jXVU6R1/WMa2jT8eK\nlt1m1B05r0vou24+XBl9uawuhD513Pe53LROl6NP81MbxaM7KRn9X/u15n9NZ9yQiE4dwhmIO/p1\nHW7r6RhphX4so6+N7vgc/dwXZvnwOfqks2jfpGb05ZMil8OuFfpVNd9ZP9XRT8WEfoc8+GD8bp8a\neu7o84rSt6N/8GDzPxdgKY5+itDid6oaSmT0V1bi2fs2jr4vurNtW7rQJ0pl9Olpi8/R/6Vfmv0d\ni+7wZbgeVcrvpAtUKqMPNEK/lKMvRxTRCCjp6JPQp/122WXAxz8enlcb3aH96BIHXPz4HP2Q0PcN\n2elC6+j3ndHnji+NisLnk8J/dbX5TiP0Oa79z88HraMPDNsZ1zWv1tHn66dzXjr6vifCUljJGxcf\n1IbK48rrnxyFRjr6udEdvm1nnz2/zNA1Xt4M8Pli4u0d75hva4E0R18OLcq3g0d3fPudysePT4qj\n7xLbQD/j6PPzjjv6PqHvOk8vuaTpx+Javu/YuY6zi127Zr9rhL6rT4AWE/odIju35Tj6vox+V0Jf\nPp7SRHf4Mmgb//7v9evtM7pz9Ghc6POTLsVtCUV32mT0S426ExP6HO2oO3y9/HeX0Of70hXdyRX6\nJaM7vIzyKUQIl9CXAtNFTkZ/y5ZZOfk6ZFlllAtYjO7w9qVERl+ujy6ifWX0+U2Fy9F3Cf1TTtFF\ndzguocH3tzajL38rldFv01ZyoU9l0UR36nrxHC/t6O/cGY/uUB3nQp+LbRndyemMyx1cXu4Uoa+J\n7vzmbzZ107etwPx7eGg9ruiOK6OfEt2h6VIy+hyfo99HdIfa8pDQd63vxhuBa691r4fOcyDN0aff\n77ln9tl1rZfXV3P0R8q+fc3/8pEPhzv6rnH0fY5+yehOqHFNHXWHyvgf/oN+vX0K/ZUVXYMEtMvo\ny+XLUXdC+9VVjtDvbRx93z7VRndcy/A5+i6hz58caTL6sehOaUdfm9HfsqXpeH/kCPAv/sViWUI3\nMTkZfd+oO/xv1/klHX0qq5xOAwl4Milcy8mN7lx55czxIrSOfii6oxX6sbroEhr8fODRnVhGn293\nbkZfltf3XgPf8jg8jiCfGkr4NssnYDGhL4UYX16orK7oDi+fdLhDw2vK6E4Il9CnZcacccD/ZDR0\nLZL9Deg7Dr2Dhx8LV3TH5ejL31xl5kKf4kZy1B3ax3Ifhhz9Pkfd4Y6+vAkKdcalJxVyWYA/ox9z\n9Gm91L7xeuEyT2NPEDSY0O+QFEefvz21b0c/RCi6Ix+Nye9iaOY5dmw+X9mWLqM7fBx9OcICOfpd\ndsbNEfoaR991gXK5cbxcXTn6J500u0DTb105+lqhDzTH/rbbGuEshwwEwo5+m4x+6KmBKxpXctQd\nEvClMvq8/M96FvCKV+jLw9edGt059dQy0R1eJzdtaurqUKPuyOGXteun5dP3sc64vK2R50uOox+D\nRtyRx1U6+r7ojszoc0c/ZdQdn6Mf2g5XOxkTb7QdMaHviu5s2xZ39H1PG/i6NI7+0aO6zuo5jn4J\noU/tgi+j77pm0TT8ZpAv15XRp3VJw4gjhb6vHrscfeuMO0Jyojv8kWJd68bRLxndkWhH3Wkj9ENO\nIn8BV4mMPkV3fBlnXi4SYRxNRl86HkBeRj8m9KXblhPdyXH0ZUb/llsWy50q9LUZ/RNOWBQPQzv6\nQLNtUuiHRDhfB3/0HUMKfX78fI5+KLrDKdUZ1+Xo50R35GfNsU2N7hw7Bnzbt6UL/VA7IKM7MUef\nk5rRp/9leVNGP2sj9IlURz83o19V7uhOzNHnglYr9GVZ+Dkj28euHH3ajlB0R24v/S5H+nE5+jGh\nz40I+iyNrJDQL+Hoy/L4RjGS87nWnRrdIU3mekIW6owbEvpU31yOvnXGnSBS6PsqM10sydEHmoN6\n333NxcLlaI8pusNJEfoux1HCt7NrR98Vh8jN6Mv5XC/MigmrmNAnpKPvewxeKqMvoztnnrlYbq3Q\n59GdmBD0CX1yZPnj61xyHH0SDzlCnzuMvmPBy0D70SX0pchyHeOxdMZ1ncu5Qv/YsdnNZiy6I+vO\n6qpb6Of0J+BiiEd3puLoy2Xxpzax6A6JUVcMqERGXx7D0Kg7IUefrreujH6K0CfoPMsV+qF+YNL0\nI2KO/pEjzfXG94SPj7qjFfqyM64cdWdlJS70Q46+C9c+pScVofPTNR+tO1Xor676HX2e0SekgSXL\nQcsEZiau1tGXNxApmNDvEI2jT40jd/Tp+7vuAh77WHfFHUN0p5SjH5qntNAPdcZ1xSFyM/q+6E6O\nox+LdKRGd+SY0y5SOuO6ypbq6IfG0ZeOPmVSqSybNzdi7f77x+Xop0R3Qo4+L0MouuPrkNlVdIc7\n+gcPAm94w/x6Ab/Q1zw90Ar9t74VeMpTZstNje6UdvSpXp94YrNfUh19TUZfOuCpQp+3AdJIkkJf\nRkDkfDSvPF/I0XfNm5rRp2XwaBa/VsqnVlpHn4s43/lD8HNG7qsuHH1+jH1iENAL/TaOPt//KY6+\nXJbP0Xfh2qdHjoRjO775uM5yjaPvu57RDans50G/5UR3qL7dffdsesIc/QlCnXEJn6MvM/pAc1BJ\n6BM+R3/o6A6ndHRH5ivbkurouzrbSHj20Sf0XY6+Ruj7ppMuBy+H73jmRndcF6jSQj81usMvnbHX\nQAAAIABJREFUPFU1i+8M6eg/+KDf0Q9tG4lvfh4cOwbs3bs4b2wcff636/yi+uwSsqnROO7o79oF\n/MmfLC4nxdGP4Tu2tJ9ouamdcXOEvgsuPFNG3eH7hUZQCcFFLi1bljcm9G+6aX55vPwEHbuQ0Odi\nxCf0NY5+LLpD6+d1iaaVbUtqRp+WHauj/FogO03y/XDuucBVVy1ug9w2eoqXKvTl/pTDicYcfVrf\nt31bekafnkJIoc+vbXIb+d8uR9913eWfpcGpFfr8+LkcfX7cY45+LLpDpDj60qCjZcr5TOiPnP37\nmzd5EtqMPtAc1J07gdNPn5+W4I3X0NGdLjP6/ASTWfAcQqPuaKI7moy+z9E/cmQ2v1bo+y78rnyq\n1tEvEd2Rjpwst1boa6I7LqHPXc+qaoTaN74xrKMPlOuMe/HFs/ca8HlDQt93YZfliAkLIsXRP3x4\n/uaLr8+V0S/p6EvByB19jdDP6Ywby+jz6E6sTewiuhPL6H/lK4vrl+WkY7x9uy6600box/YRF5oy\nuuMaBSbk6JeI7vgc/fV1YPfuJnYr0Tj6LueenjzI7wnqoEzfk+sdcvTf/W7gmc+Mt2+8faJluF6Y\n5YvuyGWFHH2f0OekCH3p6PuiO1TPtUK/lKPvap+tM+4E2b8feOhDZ5/bOvo+oT+G6A7RZXSHz5NL\nyejOZz87f8zoIl2qMy7gF/q8jH0Pr9lVdCcloy+jB3feCfzETwzr6APlOuPefvvsHHc5+r68MP/b\ndTNH4stFqtDnjv7hw7P5paPP4xa+dbl44AHg6qvj5eHLOnq0uZiTox+L7vg647bJ6FO97mocfZej\n/7M/Oz9NzNHn+5VwCf0S0R1NZ9w20R3fuO4uR5+ODW//fEI/xdHn5ZdRIt/ypNB39R+hZYYcfdpm\n2g6No/993zff5oZuojWOvqYzrnT0qbxkAriEvvx+ZQXYsSO+Hvkd3WTw4TWlUenaB9Qu+zL6Lkc/\nJvSlIWLRnYkjhX6qoz+l6E6OwHJliCXygpUaL3Atr1Rn3H/7b4ELL1wU+q7OuLkZfU10RzvqDncy\nUhz9UtEdOQ61dPS1GX3fU6bnPKd9vEu6dloHhTv63/VdwEteohP6Pkd/5063Wys743JCGX2+LK3Q\nD5Hq6EsRJYW1q/yf/CTw2789+6xx9FdWZp31uozuxBz9lFF3pKMfy+i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y+vKpQYgUoe9z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vgUNktOi/PZP+f75dpr329nQuFeSfSbptkSkdXZbHZH0zT7RORqEXmTiLxXRF4sIv/67s/fMQ7/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\nPPpDwmvycevr9jyGlKKfu8ZUPSsyLtEfE0tFf0Kwo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rJg1lBSMSRIRE7RT3n0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59Z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\n9Gm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73yXpQZL2S7/nuAx0QnRB35LTje+Xu2hXpTtgd/+Vknfdb06/vzf93z05O+GxSvr1\nX+fuL0s33OiBivPivlyLjiRtoeQU9X/j7o9z91uEXphwe7HS3T/i7jenO/K73f1DzvrWvVF1XmTb\ni3Sf8VQlbRxnufsJ7v6boINHY6bcj0jJeRS+GGKsQF2iWl7TzM6WdJKSdYyvlfQWJctXXezu2+du\nd6mkq939zZac7OZ0Sefn+rLRI9POC0nreXLyEvTIhPNiXtJLxPait5gXKMK8wKyKpqKfLlm1s5Kl\ny54m6T4la51/XdKNZvbW3M0/LOkBZrYgffH9SenHr6HHjWZNOS/ukrQWIb9/ppgX94vtRW8xL1CE\neYFZFk3Ql3SvpIMlbebJ6aL/WZLM7ERJz5d0gpk9Ir3tLpJ+nvso/sL0oJh4Pp5AXaaZF3+fHqyN\n/mF7gSLMCxRhXmBmtRb0s3fHZjafHgj1eyUvvhPSm3xf0gpJhyg5eO4sSceb2dfS21wdftRoGvMC\nRZgXKMK8QBHmBbBK8KBvZi8ws4coWeJOnqxtnb1TvlLSzma2V9p68RMlR8Wv58lZ6F4m6e3uvre7\nXx567GgO8wJFmBcowrxAEeYFsKZgQd/M9jCzayUdo2QJs/fkrrvYzB6qZF3rWyS9VJLc/duSNlGy\nYorc/W53/3yoMaN5zAsUYV6gCPMCRZgXwHDBVt0xs8MlPc3dX2jJmej+SdKN7v4qM9vSk1OQy8y2\nUHJa+h9K2kfJGsanpB+9oWeYFyjCvEAR5gWKMC+A4RoL+pacLnwfSd909z+b2Qsk7e7uL0mvf7Ck\nayTt4ckZS+c8PQGFmW0m6SGStnT3ixoZIFrBvEAR5gWKMC9QhHkBlNdI0DezV0p6rpIz1t4p6TQl\npxK/StKenp6AxMzOlbSxu5+Ufv88SV9095/XPii0jnmBIswLFGFeoAjzAqim9h79dLmqIyQ9xt2f\nJGlvSQ/15GykX5R0Qe7mF0uaT9+dS9JKJctgoWeYFyjCvEAR5gWKMC+A6po4GPdj7n60u//MzHaV\n9DtJ26bXvUDSfmb21PT7HSTd4ekJjdz9Yuc09H3FvEAR5gWKMC9QhHkBVFRb646Zzbv7/VkvnJlt\nLekKSZ9ScgKKH0l6t5J34McpOUPdNpLOdvd/rGUQiA7zAkWYFyjCvEAR5gUwuYmDvpk9U9Ktkq4f\ndsS6mS1KD5R5sKQ3SbrE3b9gZguUfPx2lbv/acKxI0LMCxRhXqAI8wJFmBdAfSq37pjZ9mb2dUnH\nSzpa0nnpUewys7enL9DMSkly91slrSPpL+n397r7l3gR9gfzAkWYFyjCvEAR5gVQv9JBP32XLEm7\nS/pq2if310peXOel152TfUxmZububmZ7mtlFkjaSdGONY0cEmBcowrxAEeYFijAvgOaMDfpmNm9m\n75T0t2Z2kKSHSnpQ7iY3SXqymR3i7r8xs/lVd7WHSPqgpBvc/VHu/tO6fwG0g3mBIswLFGFeoAjz\nAmjeyB59M5uT9F5JSyR9SclBLv8h6UxJr5K0tqRdJd0vaXt3Pza935Ml/dTdv2Nmi/kIrV+YFyjC\nvEAR5gWKMC+AMNYac/36Ss4g9xh3/4OZ3aHko7XPSLpb0lGSzpF0h6SXmNn67v4HSS7pLkniRdhL\nzAsUYV6gCPMCRZgXQAAjW3fSo93/U9Jz0ou+KumXSl6EX3D349z9m5L2lbQyfRHK3T/n7vTL9RTz\nAkWYFyjCvEAR5gUQRpmDcT8j6SFmtqW73ynp+0qOdt/OzDYxszdLepukFQ2OE/FhXqAI8wJFmBco\nwrwAGlYm6F8l6deSni1J7v4dSQem991BSfvPEe7+qYbGiDgxL1CEeYEizAsUYV4ADRvXoy93/28z\n+5ykt5vZLZKulnSPpPvc/buSvtXwGBEh5gWKMC9QhHmBIswLoHmlz4xrZkdLeqqkQyT9nbv/XZMD\nQzcwL1CEeYEizAsUYV4AzSkd9CXJzNaWdL+739/ckNA1zAsUYV6gCPMCRZgXQDMqBX0AAAAA3VDm\nYFwAAAAAHUPQBwAAAHqIoA8AAAD0EEEfAAAA6CGCPgAAANBDBH0AAACghwj6AAAAQA8R9AEAAIAe\n+v+Yu1nUA2zqoQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11a01a828>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "s.sort_index().plot(figsize=(12,12))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>open</th>\n",
       "      <th>high</th>\n",
       "      <th>low</th>\n",
       "      <th>close</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2013-01-01 09:30:00.000</th>\n",
       "      <td>50.050176</td>\n",
       "      <td>50.050176</td>\n",
       "      <td>50.050176</td>\n",
       "      <td>50.050176</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-01-01 09:30:00.001</th>\n",
       "      <td>49.969851</td>\n",
       "      <td>50.138129</td>\n",
       "      <td>49.969851</td>\n",
       "      <td>50.138129</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-01-01 09:30:00.002</th>\n",
       "      <td>49.888302</td>\n",
       "      <td>49.888302</td>\n",
       "      <td>49.888302</td>\n",
       "      <td>49.888302</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-01-01 09:30:00.003</th>\n",
       "      <td>50.017030</td>\n",
       "      <td>50.035368</td>\n",
       "      <td>50.017030</td>\n",
       "      <td>50.035368</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-01-01 09:30:00.004</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-01-01 09:30:00.005</th>\n",
       "      <td>50.062878</td>\n",
       "      <td>50.062878</td>\n",
       "      <td>49.921889</td>\n",
       "      <td>49.921889</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-01-01 09:30:00.994</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-01-01 09:30:00.995</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-01-01 09:30:00.996</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-01-01 09:30:00.997</th>\n",
       "      <td>49.907617</td>\n",
       "      <td>49.907617</td>\n",
       "      <td>49.907617</td>\n",
       "      <td>49.907617</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-01-01 09:30:00.998</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-01-01 09:30:00.999</th>\n",
       "      <td>49.925853</td>\n",
       "      <td>49.925853</td>\n",
       "      <td>49.925853</td>\n",
       "      <td>49.925853</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1000 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                              open       high        low      close\n",
       "2013-01-01 09:30:00.000  50.050176  50.050176  50.050176  50.050176\n",
       "2013-01-01 09:30:00.001  49.969851  50.138129  49.969851  50.138129\n",
       "2013-01-01 09:30:00.002  49.888302  49.888302  49.888302  49.888302\n",
       "2013-01-01 09:30:00.003  50.017030  50.035368  50.017030  50.035368\n",
       "2013-01-01 09:30:00.004        NaN        NaN        NaN        NaN\n",
       "2013-01-01 09:30:00.005  50.062878  50.062878  49.921889  49.921889\n",
       "...                            ...        ...        ...        ...\n",
       "2013-01-01 09:30:00.994        NaN        NaN        NaN        NaN\n",
       "2013-01-01 09:30:00.995        NaN        NaN        NaN        NaN\n",
       "2013-01-01 09:30:00.996        NaN        NaN        NaN        NaN\n",
       "2013-01-01 09:30:00.997  49.907617  49.907617  49.907617  49.907617\n",
       "2013-01-01 09:30:00.998        NaN        NaN        NaN        NaN\n",
       "2013-01-01 09:30:00.999  49.925853  49.925853  49.925853  49.925853\n",
       "\n",
       "[1000 rows x 4 columns]"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "res = s.resample('1ms',how='ohlc')\n",
    "res"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "# Missing Values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>open</th>\n",
       "      <th>high</th>\n",
       "      <th>low</th>\n",
       "      <th>close</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2013-01-01 09:30:00.000</th>\n",
       "      <td>50.050176</td>\n",
       "      <td>50.050176</td>\n",
       "      <td>50.050176</td>\n",
       "      <td>50.050176</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-01-01 09:30:00.001</th>\n",
       "      <td>49.969851</td>\n",
       "      <td>50.138129</td>\n",
       "      <td>49.969851</td>\n",
       "      <td>50.138129</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-01-01 09:30:00.002</th>\n",
       "      <td>49.888302</td>\n",
       "      <td>49.888302</td>\n",
       "      <td>49.888302</td>\n",
       "      <td>49.888302</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-01-01 09:30:00.003</th>\n",
       "      <td>50.017030</td>\n",
       "      <td>50.035368</td>\n",
       "      <td>50.017030</td>\n",
       "      <td>50.035368</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-01-01 09:30:00.004</th>\n",
       "      <td>50.017030</td>\n",
       "      <td>50.035368</td>\n",
       "      <td>50.017030</td>\n",
       "      <td>50.035368</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-01-01 09:30:00.005</th>\n",
       "      <td>50.062878</td>\n",
       "      <td>50.062878</td>\n",
       "      <td>49.921889</td>\n",
       "      <td>49.921889</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-01-01 09:30:00.994</th>\n",
       "      <td>49.845309</td>\n",
       "      <td>50.023058</td>\n",
       "      <td>49.845309</td>\n",
       "      <td>49.904009</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-01-01 09:30:00.995</th>\n",
       "      <td>49.845309</td>\n",
       "      <td>50.023058</td>\n",
       "      <td>49.845309</td>\n",
       "      <td>49.904009</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-01-01 09:30:00.996</th>\n",
       "      <td>49.845309</td>\n",
       "      <td>50.023058</td>\n",
       "      <td>49.845309</td>\n",
       "      <td>49.904009</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-01-01 09:30:00.997</th>\n",
       "      <td>49.907617</td>\n",
       "      <td>49.907617</td>\n",
       "      <td>49.907617</td>\n",
       "      <td>49.907617</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-01-01 09:30:00.998</th>\n",
       "      <td>49.907617</td>\n",
       "      <td>49.907617</td>\n",
       "      <td>49.907617</td>\n",
       "      <td>49.907617</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-01-01 09:30:00.999</th>\n",
       "      <td>49.925853</td>\n",
       "      <td>49.925853</td>\n",
       "      <td>49.925853</td>\n",
       "      <td>49.925853</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1000 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                              open       high        low      close\n",
       "2013-01-01 09:30:00.000  50.050176  50.050176  50.050176  50.050176\n",
       "2013-01-01 09:30:00.001  49.969851  50.138129  49.969851  50.138129\n",
       "2013-01-01 09:30:00.002  49.888302  49.888302  49.888302  49.888302\n",
       "2013-01-01 09:30:00.003  50.017030  50.035368  50.017030  50.035368\n",
       "2013-01-01 09:30:00.004  50.017030  50.035368  50.017030  50.035368\n",
       "2013-01-01 09:30:00.005  50.062878  50.062878  49.921889  49.921889\n",
       "...                            ...        ...        ...        ...\n",
       "2013-01-01 09:30:00.994  49.845309  50.023058  49.845309  49.904009\n",
       "2013-01-01 09:30:00.995  49.845309  50.023058  49.845309  49.904009\n",
       "2013-01-01 09:30:00.996  49.845309  50.023058  49.845309  49.904009\n",
       "2013-01-01 09:30:00.997  49.907617  49.907617  49.907617  49.907617\n",
       "2013-01-01 09:30:00.998  49.907617  49.907617  49.907617  49.907617\n",
       "2013-01-01 09:30:00.999  49.925853  49.925853  49.925853  49.925853\n",
       "\n",
       "[1000 rows x 4 columns]"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "s.resample('1ms',how='ohlc').ffill()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "# Computational Tools\n",
    "\n",
    "http://pandas.pydata.org/pandas-docs/stable/computation.html"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x10f9fff98>"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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nGWAUg5CiENY2DqCzTOxBZ9k9FMuWoVgexy+zzJ05PtpZBiiWCSkKYW3jAI6HxA76ajYz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\nAGAH/x9QF329P30IEgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x113269828>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pd.rolling_mean(s.sort_index(),freq='10ms',window=1).plot(figsize=(12,12))\n",
    "pd.expanding_mean(s.sort_index(),freq='10ms').plot(figsize=(12,12))"
   ]
  }
 ],
 "metadata": {
  "celltoolbar": "Slideshow",
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.4.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}