week3_2.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: geocoder in /home/jupyterlab/conda/envs/python/lib/python3.6/site-packages (1.38.1)\n",
      "Requirement already satisfied: ratelim in /home/jupyterlab/conda/envs/python/lib/python3.6/site-packages (from geocoder) (0.1.6)\n",
      "Requirement already satisfied: six in /home/jupyterlab/conda/envs/python/lib/python3.6/site-packages (from geocoder) (1.15.0)\n",
      "Requirement already satisfied: future in /home/jupyterlab/conda/envs/python/lib/python3.6/site-packages (from geocoder) (0.18.2)\n",
      "Requirement already satisfied: click in /home/jupyterlab/conda/envs/python/lib/python3.6/site-packages (from geocoder) (7.1.2)\n",
      "Requirement already satisfied: requests in /home/jupyterlab/conda/envs/python/lib/python3.6/site-packages (from geocoder) (2.24.0)\n",
      "Requirement already satisfied: decorator in /home/jupyterlab/conda/envs/python/lib/python3.6/site-packages (from ratelim->geocoder) (4.4.2)\n",
      "Requirement already satisfied: idna<3,>=2.5 in /home/jupyterlab/conda/envs/python/lib/python3.6/site-packages (from requests->geocoder) (2.10)\n",
      "Requirement already satisfied: certifi>=2017.4.17 in /home/jupyterlab/conda/envs/python/lib/python3.6/site-packages (from requests->geocoder) (2020.6.20)\n",
      "Requirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in /home/jupyterlab/conda/envs/python/lib/python3.6/site-packages (from requests->geocoder) (1.25.10)\n",
      "Requirement already satisfied: chardet<4,>=3.0.2 in /home/jupyterlab/conda/envs/python/lib/python3.6/site-packages (from requests->geocoder) (3.0.4)\n",
      "Libraries imported.\n"
     ]
    }
   ],
   "source": [
    "\n",
    "import numpy as np # library to handle data in a vectorized manner\n",
    "\n",
    "import pandas as pd # library for data analsysis\n",
    "!pip install geocoder\n",
    "\n",
    "import geocoder\n",
    "\n",
    "print('Libraries imported.')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<bound method NDFrame.head of     Postal Code      Borough                                     Neighborhood\n",
       "0           M1S  Scarborough                                        Agincourt\n",
       "1           M8W    Etobicoke                           Alderwood, Long Branch\n",
       "2           M3H   North York  Bathurst Manor, Wilson Heights, Downsview North\n",
       "3           M2K   North York                                  Bayview Village\n",
       "4           M5M   North York                Bedford Park, Lawrence Manor East\n",
       "..          ...          ...                                              ...\n",
       "175         M2R   North York                      Willowdale, Willowdale West\n",
       "176         M1G  Scarborough                                           Woburn\n",
       "177         M4C    East York                                 Woodbine Heights\n",
       "178         M2P   North York                                  York Mills West\n",
       "179         M2L   North York                         York Mills, Silver Hills\n",
       "\n",
       "[180 rows x 3 columns]>"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_toronto = pd.read_csv('toronto.csv', sep= \";\")\n",
    "df_toronto.head\n",
    "#df_toronto"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "# cleaning the  dataframe \n",
    "df_toronto = df_toronto[df_toronto.Borough!='Not assigned'] #excluding  the not assigned values\n",
    "\n",
    "df_toronto =df_toronto[df_toronto.Borough!= 0] ##excludin  the values not 0\n",
    "df_toronto.reset_index(drop = True, inplace = True) ## reseting the indexes\n",
    "i = 0\n",
    "for i in range(0,df_toronto.shape[0]):\n",
    "    if df_toronto.iloc[i][2] == 'Not assigned':\n",
    "        df_toronto.iloc[i][2] = df_toronto.iloc[i][1]\n",
    "        i = i+1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "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>Postal Code</th>\n",
       "      <th>Borough</th>\n",
       "      <th>Neighborhood</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>M1S</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Agincourt</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>M8W</td>\n",
       "      <td>Etobicoke</td>\n",
       "      <td>Alderwood, Long Branch</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>M3H</td>\n",
       "      <td>North York</td>\n",
       "      <td>Bathurst Manor, Wilson Heights, Downsview North</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>M2K</td>\n",
       "      <td>North York</td>\n",
       "      <td>Bayview Village</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>M5M</td>\n",
       "      <td>North York</td>\n",
       "      <td>Bedford Park, Lawrence Manor East</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>M2R</td>\n",
       "      <td>North York</td>\n",
       "      <td>Willowdale, Willowdale West</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>M1G</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Woburn</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>M4C</td>\n",
       "      <td>East York</td>\n",
       "      <td>Woodbine Heights</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101</th>\n",
       "      <td>M2P</td>\n",
       "      <td>North York</td>\n",
       "      <td>York Mills West</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102</th>\n",
       "      <td>M2L</td>\n",
       "      <td>North York</td>\n",
       "      <td>York Mills, Silver Hills</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>103 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    Postal Code      Borough                                     Neighborhood\n",
       "0           M1S  Scarborough                                        Agincourt\n",
       "1           M8W    Etobicoke                           Alderwood, Long Branch\n",
       "2           M3H   North York  Bathurst Manor, Wilson Heights, Downsview North\n",
       "3           M2K   North York                                  Bayview Village\n",
       "4           M5M   North York                Bedford Park, Lawrence Manor East\n",
       "..          ...          ...                                              ...\n",
       "98          M2R   North York                      Willowdale, Willowdale West\n",
       "99          M1G  Scarborough                                           Woburn\n",
       "100         M4C    East York                                 Woodbine Heights\n",
       "101         M2P   North York                                  York Mills West\n",
       "102         M2L   North York                         York Mills, Silver Hills\n",
       "\n",
       "[103 rows x 3 columns]"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_toronto.shape #Shape of the dataframe\n",
    "\n",
    "df_toronto"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "    }\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>Postal Code</th>\n",
       "      <th>Borough</th>\n",
       "      <th>Neighborhood</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>103</td>\n",
       "      <td>103</td>\n",
       "      <td>103</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>unique</th>\n",
       "      <td>103</td>\n",
       "      <td>10</td>\n",
       "      <td>99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>top</th>\n",
       "      <td>M4G</td>\n",
       "      <td>North York</td>\n",
       "      <td>Downsview</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>freq</th>\n",
       "      <td>1</td>\n",
       "      <td>24</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Postal Code     Borough Neighborhood\n",
       "count          103         103          103\n",
       "unique         103          10           99\n",
       "top            M4G  North York    Downsview\n",
       "freq             1          24            4"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_toronto.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [],
   "source": [
    "##function to obtain the coordinates of each neighbourhood\n",
    "def get_latilong(postal_code):\n",
    "    lati_long_coords = None\n",
    "    while(lati_long_coords is None):\n",
    "        g = geocoder.arcgis('{}, Toronto, Ontario'.format(postal_code))\n",
    "        lati_long_coords = g.latlng\n",
    "    return lati_long_coords\n",
    "    \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "# Retrieving Postal Code Co-ordinates\n",
    "postal_codes = df_toronto['Postal Code']    \n",
    "coords = [ get_latilong(postal_code) for postal_code in postal_codes.tolist() ]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    .dataframe tbody tr th:only-of-type {\n",
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       "\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>Postal Code</th>\n",
       "      <th>Borough</th>\n",
       "      <th>Neighborhood</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>M1S</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Agincourt</td>\n",
       "      <td>43.79394</td>\n",
       "      <td>-79.26711</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>M8W</td>\n",
       "      <td>Etobicoke</td>\n",
       "      <td>Alderwood, Long Branch</td>\n",
       "      <td>43.60108</td>\n",
       "      <td>-79.53891</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>M3H</td>\n",
       "      <td>North York</td>\n",
       "      <td>Bathurst Manor, Wilson Heights, Downsview North</td>\n",
       "      <td>43.74809</td>\n",
       "      <td>-79.44401</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>M2K</td>\n",
       "      <td>North York</td>\n",
       "      <td>Bayview Village</td>\n",
       "      <td>43.78102</td>\n",
       "      <td>-79.38060</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>M5M</td>\n",
       "      <td>North York</td>\n",
       "      <td>Bedford Park, Lawrence Manor East</td>\n",
       "      <td>43.73546</td>\n",
       "      <td>-79.41915</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>M2R</td>\n",
       "      <td>North York</td>\n",
       "      <td>Willowdale, Willowdale West</td>\n",
       "      <td>43.77991</td>\n",
       "      <td>-79.44678</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>M1G</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Woburn</td>\n",
       "      <td>43.76820</td>\n",
       "      <td>-79.21761</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>M4C</td>\n",
       "      <td>East York</td>\n",
       "      <td>Woodbine Heights</td>\n",
       "      <td>43.68970</td>\n",
       "      <td>-79.30680</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101</th>\n",
       "      <td>M2P</td>\n",
       "      <td>North York</td>\n",
       "      <td>York Mills West</td>\n",
       "      <td>43.74787</td>\n",
       "      <td>-79.40029</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102</th>\n",
       "      <td>M2L</td>\n",
       "      <td>North York</td>\n",
       "      <td>York Mills, Silver Hills</td>\n",
       "      <td>43.75722</td>\n",
       "      <td>-79.37974</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>103 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    Postal Code      Borough                                     Neighborhood  \\\n",
       "0           M1S  Scarborough                                        Agincourt   \n",
       "1           M8W    Etobicoke                           Alderwood, Long Branch   \n",
       "2           M3H   North York  Bathurst Manor, Wilson Heights, Downsview North   \n",
       "3           M2K   North York                                  Bayview Village   \n",
       "4           M5M   North York                Bedford Park, Lawrence Manor East   \n",
       "..          ...          ...                                              ...   \n",
       "98          M2R   North York                      Willowdale, Willowdale West   \n",
       "99          M1G  Scarborough                                           Woburn   \n",
       "100         M4C    East York                                 Woodbine Heights   \n",
       "101         M2P   North York                                  York Mills West   \n",
       "102         M2L   North York                         York Mills, Silver Hills   \n",
       "\n",
       "     Latitude  Longitude  \n",
       "0    43.79394  -79.26711  \n",
       "1    43.60108  -79.53891  \n",
       "2    43.74809  -79.44401  \n",
       "3    43.78102  -79.38060  \n",
       "4    43.73546  -79.41915  \n",
       "..        ...        ...  \n",
       "98   43.77991  -79.44678  \n",
       "99   43.76820  -79.21761  \n",
       "100  43.68970  -79.30680  \n",
       "101  43.74787  -79.40029  \n",
       "102  43.75722  -79.37974  \n",
       "\n",
       "[103 rows x 5 columns]"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "# Adding Columns Latitude & Longitude\n",
    "df_coords = pd.DataFrame(coords, columns=['Latitude', 'Longitude'])\n",
    "df_toronto['Latitude'] = df_coords['Latitude']\n",
    "df_toronto['Longitude'] = df_coords['Longitude']\n",
    "df_toronto\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "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>Postal Code</th>\n",
       "      <th>Borough</th>\n",
       "      <th>Neighborhood</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>M1S</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Agincourt</td>\n",
       "      <td>43.79394</td>\n",
       "      <td>-79.26711</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>M8W</td>\n",
       "      <td>Etobicoke</td>\n",
       "      <td>Alderwood, Long Branch</td>\n",
       "      <td>43.60108</td>\n",
       "      <td>-79.53891</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>M3H</td>\n",
       "      <td>North York</td>\n",
       "      <td>Bathurst Manor, Wilson Heights, Downsview North</td>\n",
       "      <td>43.74809</td>\n",
       "      <td>-79.44401</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>M2K</td>\n",
       "      <td>North York</td>\n",
       "      <td>Bayview Village</td>\n",
       "      <td>43.78102</td>\n",
       "      <td>-79.38060</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>M5M</td>\n",
       "      <td>North York</td>\n",
       "      <td>Bedford Park, Lawrence Manor East</td>\n",
       "      <td>43.73546</td>\n",
       "      <td>-79.41915</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>M2R</td>\n",
       "      <td>North York</td>\n",
       "      <td>Willowdale, Willowdale West</td>\n",
       "      <td>43.77991</td>\n",
       "      <td>-79.44678</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>M1G</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Woburn</td>\n",
       "      <td>43.76820</td>\n",
       "      <td>-79.21761</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>M4C</td>\n",
       "      <td>East York</td>\n",
       "      <td>Woodbine Heights</td>\n",
       "      <td>43.68970</td>\n",
       "      <td>-79.30680</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101</th>\n",
       "      <td>M2P</td>\n",
       "      <td>North York</td>\n",
       "      <td>York Mills West</td>\n",
       "      <td>43.74787</td>\n",
       "      <td>-79.40029</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102</th>\n",
       "      <td>M2L</td>\n",
       "      <td>North York</td>\n",
       "      <td>York Mills, Silver Hills</td>\n",
       "      <td>43.75722</td>\n",
       "      <td>-79.37974</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>103 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    Postal Code      Borough                                     Neighborhood  \\\n",
       "0           M1S  Scarborough                                        Agincourt   \n",
       "1           M8W    Etobicoke                           Alderwood, Long Branch   \n",
       "2           M3H   North York  Bathurst Manor, Wilson Heights, Downsview North   \n",
       "3           M2K   North York                                  Bayview Village   \n",
       "4           M5M   North York                Bedford Park, Lawrence Manor East   \n",
       "..          ...          ...                                              ...   \n",
       "98          M2R   North York                      Willowdale, Willowdale West   \n",
       "99          M1G  Scarborough                                           Woburn   \n",
       "100         M4C    East York                                 Woodbine Heights   \n",
       "101         M2P   North York                                  York Mills West   \n",
       "102         M2L   North York                         York Mills, Silver Hills   \n",
       "\n",
       "     Latitude  Longitude  \n",
       "0    43.79394  -79.26711  \n",
       "1    43.60108  -79.53891  \n",
       "2    43.74809  -79.44401  \n",
       "3    43.78102  -79.38060  \n",
       "4    43.73546  -79.41915  \n",
       "..        ...        ...  \n",
       "98   43.77991  -79.44678  \n",
       "99   43.76820  -79.21761  \n",
       "100  43.68970  -79.30680  \n",
       "101  43.74787  -79.40029  \n",
       "102  43.75722  -79.37974  \n",
       "\n",
       "[103 rows x 5 columns]"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_toronto\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_toronto.to_csv('toronto_coor.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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