Segmenting & Clustering Neighborhoods in Toronto.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Segmenting & Clustering Neighborhoods in Toronto, Canada\n",
    "\n",
    "## Introduction\n",
    "\n",
    "This is an assignment from IBM's Coursera Applied Data Science Capstone course. In this assignment, I will be demonstrating:\n",
    "- webscraping using the BeautifulSoup package\n",
    "- data cleaning of dataframes\n",
    "- getting longitude and latitude information from the Geocoder Python package\n",
    "- using the Folium library to visulize the neighborhoods and their emerging clusters\n",
    "\n",
    "Additional reference on Wikipedia web scraping using BeautifulSoup: https://alanhylands.com/articles/how-to-web-scrape-wikipedia-python-urllib-beautiful-soup-pandas/"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Table of Contents\n",
    "* Task 1: Scrape the Wikipedia page data into a pandas dataframe\n",
    "* Task 2: Add the latitude and longitude coordinates to the dataframe\n",
    "* Task 3: Explore and visualize the cluster of neighborhoods in Toronto"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Task 1: Scrape the Wikipedia page data into a pandas dataframe"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Import necessary packages"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Libraries imported.\n"
     ]
    }
   ],
   "source": [
    "import numpy as np # library to handle data in a vectorized manner\n",
    "\n",
    "import pandas as pd # library for data analsysis\n",
    "pd.set_option(\"display.max_columns\", None)\n",
    "pd.set_option(\"display.max_rows\", None)\n",
    "\n",
    "import json # library to handle JSON files\n",
    "\n",
    "#!conda install -c conda-forge geopy --yes # uncomment this line if geopy package is not installed\n",
    "#!pip install geopy\n",
    "from geopy.geocoders import Nominatim # convert an address into latitude and longitude values\n",
    "\n",
    "import requests # library to handle requests\n",
    "\n",
    "#!pip install BeautifulSoup4\n",
    "from bs4 import BeautifulSoup # for web scraping\n",
    "\n",
    "from pandas.io.json import json_normalize # tranform JSON file into a pandas dataframe\n",
    "\n",
    "# Matplotlib and associated plotting modules\n",
    "import matplotlib.cm as cm\n",
    "import matplotlib.colors as colors\n",
    "\n",
    "# import k-means from clustering stage\n",
    "from sklearn.cluster import KMeans\n",
    "\n",
    "#!conda install -c conda-forge folium=0.5.0 --yes # uncomment this line if folium package is not installed\n",
    "#!pip install folium\n",
    "import folium # map-rendering library\n",
    "\n",
    "print('Libraries imported.')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Scrape Wikipedia by using BeautifulSoup"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "url = 'https://en.wikipedia.org/wiki/List_of_postal_codes_of_Canada:_M'\n",
    "wiki_html = requests.get(url).text\n",
    "soup = BeautifulSoup(wiki_html, 'html.parser')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Use HTML tags to find table"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "data = []\n",
    "for tr in soup.tbody.find_all('tr'):\n",
    "    data.append([ td.get_text().strip() for td in tr.find_all('td') ])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Alternative method to finding the table:\n",
    "\n",
    "postalCodeList = []\n",
    "boroughList = []\n",
    "neighborhoodList = []\n",
    "    \n",
    "for row in soup.find('table').find_all('tr'):\n",
    "    cells = row.find_all('td')\n",
    "    if(len(cells) > 0):\n",
    "        postalCodeList.append(cells[0].text)\n",
    "        boroughList.append(cells[1].text)\n",
    "        neighborhoodList.append(cells[2].text.rstrip('\\n'))\n",
    "\n",
    "toronto_df = pd.DataFrame({\"PostalCode\": postalCodeList,\n",
    "                           \"Borough\": boroughList,\n",
    "                           \"Neighborhood\": neighborhoodList})\n",
    "toronto_df = toronto_df.replace({'\\n': ''}, regex=True)\n",
    "toronto_df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Create the dataframe."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.DataFrame(data, columns=['PostalCode','Borough','Neighborhood'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "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>PostalCode</th>\n",
       "      <th>Borough</th>\n",
       "      <th>Neighborhood</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>M1A</td>\n",
       "      <td>Not assigned</td>\n",
       "      <td>Not assigned</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>M2A</td>\n",
       "      <td>Not assigned</td>\n",
       "      <td>Not assigned</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>M3A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Parkwoods</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>M4A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Victoria Village</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  PostalCode       Borough      Neighborhood\n",
       "0       None          None              None\n",
       "1        M1A  Not assigned      Not assigned\n",
       "2        M2A  Not assigned      Not assigned\n",
       "3        M3A    North York         Parkwoods\n",
       "4        M4A    North York  Victoria Village"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Drop \"None\" rows and remove cells with a borough that is \"Not assigned\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = df.dropna()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "scrolled": true
   },
   "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>PostalCode</th>\n",
       "      <th>Borough</th>\n",
       "      <th>Neighborhood</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>M3A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Parkwoods</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>M4A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Victoria Village</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>M5A</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Regent Park, Harbourfront</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>M6A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Lawrence Manor, Lawrence Heights</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>M7A</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Queen's Park, Ontario Provincial Government</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  PostalCode           Borough                                 Neighborhood\n",
       "3        M3A        North York                                    Parkwoods\n",
       "4        M4A        North York                             Victoria Village\n",
       "5        M5A  Downtown Toronto                    Regent Park, Harbourfront\n",
       "6        M6A        North York             Lawrence Manor, Lawrence Heights\n",
       "7        M7A  Downtown Toronto  Queen's Park, Ontario Provincial Government"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Borough'].replace('Not assigned', np.nan, inplace=True)\n",
    "df.dropna(subset=['Borough'], inplace=True)\n",
    "\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Assign the neighborhood as the borough, if the neighborhood is \"Not assigned\" but has a borough"
   ]
  },
  {
   "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>PostalCode</th>\n",
       "      <th>Borough</th>\n",
       "      <th>Neighborhood</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>M3A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Parkwoods</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>M4A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Victoria Village</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>M5A</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Regent Park, Harbourfront</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>M6A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Lawrence Manor, Lawrence Heights</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>M7A</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Queen's Park, Ontario Provincial Government</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  PostalCode           Borough                                 Neighborhood\n",
       "3        M3A        North York                                    Parkwoods\n",
       "4        M4A        North York                             Victoria Village\n",
       "5        M5A  Downtown Toronto                    Regent Park, Harbourfront\n",
       "6        M6A        North York             Lawrence Manor, Lawrence Heights\n",
       "7        M7A  Downtown Toronto  Queen's Park, Ontario Provincial Government"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "for index, row in df.iterrows():\n",
    "    if row[\"Neighborhood\"] == \"Not assigned\":\n",
    "        row[\"Neighborhood\"] = row[\"Borough\"]\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Group the dataframe by 'PostalCode' and 'Borough' and reset index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "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>PostalCode</th>\n",
       "      <th>Borough</th>\n",
       "      <th>Neighborhood</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>M1B</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Malvern, Rouge</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>M1C</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Rouge Hill, Port Union, Highland Creek</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>M1E</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Guildwood, Morningside, West Hill</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>M1G</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Woburn</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>M1H</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Cedarbrae</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>M1J</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Scarborough Village</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>M1K</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Kennedy Park, Ionview, East Birchmount Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>M1L</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Golden Mile, Clairlea, Oakridge</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>M1M</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Cliffside, Cliffcrest, Scarborough Village West</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>M1N</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Birch Cliff, Cliffside West</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>M1P</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Dorset Park, Wexford Heights, Scarborough Town...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>M1R</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Wexford, Maryvale</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>M1S</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Agincourt</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>M1T</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Clarks Corners, Tam O'Shanter, Sullivan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>M1V</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Milliken, Agincourt North, Steeles East, L'Amo...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>M1W</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Steeles West, L'Amoreaux West</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>M1X</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Upper Rouge</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>M2H</td>\n",
       "      <td>North York</td>\n",
       "      <td>Hillcrest Village</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>M2J</td>\n",
       "      <td>North York</td>\n",
       "      <td>Fairview, Henry Farm, Oriole</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>M2K</td>\n",
       "      <td>North York</td>\n",
       "      <td>Bayview Village</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>M2L</td>\n",
       "      <td>North York</td>\n",
       "      <td>York Mills, Silver Hills</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>M2M</td>\n",
       "      <td>North York</td>\n",
       "      <td>Willowdale, Newtonbrook</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>M2N</td>\n",
       "      <td>North York</td>\n",
       "      <td>Willowdale, Willowdale East</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>M2P</td>\n",
       "      <td>North York</td>\n",
       "      <td>York Mills West</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>M2R</td>\n",
       "      <td>North York</td>\n",
       "      <td>Willowdale, Willowdale West</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>M3A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Parkwoods</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>M3B</td>\n",
       "      <td>North York</td>\n",
       "      <td>Don Mills</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>M3C</td>\n",
       "      <td>North York</td>\n",
       "      <td>Don Mills</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</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>29</th>\n",
       "      <td>M3J</td>\n",
       "      <td>North York</td>\n",
       "      <td>Northwood Park, York University</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>M3K</td>\n",
       "      <td>North York</td>\n",
       "      <td>Downsview</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>M3L</td>\n",
       "      <td>North York</td>\n",
       "      <td>Downsview</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>M3M</td>\n",
       "      <td>North York</td>\n",
       "      <td>Downsview</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>M3N</td>\n",
       "      <td>North York</td>\n",
       "      <td>Downsview</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>M4A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Victoria Village</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>M4B</td>\n",
       "      <td>East York</td>\n",
       "      <td>Parkview Hill, Woodbine Gardens</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>M4C</td>\n",
       "      <td>East York</td>\n",
       "      <td>Woodbine Heights</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>M4E</td>\n",
       "      <td>East Toronto</td>\n",
       "      <td>The Beaches</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>M4G</td>\n",
       "      <td>East York</td>\n",
       "      <td>Leaside</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>M4H</td>\n",
       "      <td>East York</td>\n",
       "      <td>Thorncliffe Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>M4J</td>\n",
       "      <td>East York</td>\n",
       "      <td>East Toronto, Broadview North (Old East York)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>M4K</td>\n",
       "      <td>East Toronto</td>\n",
       "      <td>The Danforth West, Riverdale</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>M4L</td>\n",
       "      <td>East Toronto</td>\n",
       "      <td>India Bazaar, The Beaches West</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>M4M</td>\n",
       "      <td>East Toronto</td>\n",
       "      <td>Studio District</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>M4N</td>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>Lawrence Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>M4P</td>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>Davisville North</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>M4R</td>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>North Toronto West,  Lawrence Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>M4S</td>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>Davisville</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>M4T</td>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>Moore Park, Summerhill East</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>M4V</td>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>Summerhill West, Rathnelly, South Hill, Forest...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>M4W</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Rosedale</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>M4X</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>St. James Town, Cabbagetown</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>M4Y</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Church and Wellesley</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>M5A</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Regent Park, Harbourfront</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>M5B</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Garden District, Ryerson</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>M5C</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>St. James Town</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>M5E</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Berczy Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>M5G</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Central Bay Street</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>M5H</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Richmond, Adelaide, King</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>M5J</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Harbourfront East, Union Station, Toronto Islands</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>M5K</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Toronto Dominion Centre, Design Exchange</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>M5L</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Commerce Court, Victoria Hotel</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>M5M</td>\n",
       "      <td>North York</td>\n",
       "      <td>Bedford Park, Lawrence Manor East</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>M5N</td>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>Roselawn</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>M5P</td>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>Forest Hill North &amp; West, Forest Hill Road Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>M5R</td>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>The Annex, North Midtown, Yorkville</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>M5S</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>University of Toronto, Harbord</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>M5T</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Kensington Market, Chinatown, Grange Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>M5V</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>CN Tower, King and Spadina, Railway Lands, Har...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>M5W</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Stn A PO Boxes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>M5X</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>First Canadian Place, Underground city</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>M6A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Lawrence Manor, Lawrence Heights</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>M6B</td>\n",
       "      <td>North York</td>\n",
       "      <td>Glencairn</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>M6C</td>\n",
       "      <td>York</td>\n",
       "      <td>Humewood-Cedarvale</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>M6E</td>\n",
       "      <td>York</td>\n",
       "      <td>Caledonia-Fairbanks</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>M6G</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Christie</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76</th>\n",
       "      <td>M6H</td>\n",
       "      <td>West Toronto</td>\n",
       "      <td>Dufferin, Dovercourt Village</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>M6J</td>\n",
       "      <td>West Toronto</td>\n",
       "      <td>Little Portugal, Trinity</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>M6K</td>\n",
       "      <td>West Toronto</td>\n",
       "      <td>Brockton, Parkdale Village, Exhibition Place</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>M6L</td>\n",
       "      <td>North York</td>\n",
       "      <td>North Park, Maple Leaf Park, Upwood Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>M6M</td>\n",
       "      <td>York</td>\n",
       "      <td>Del Ray, Mount Dennis, Keelsdale and Silverthorn</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>M6N</td>\n",
       "      <td>York</td>\n",
       "      <td>Runnymede, The Junction North</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>M6P</td>\n",
       "      <td>West Toronto</td>\n",
       "      <td>High Park, The Junction South</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>M6R</td>\n",
       "      <td>West Toronto</td>\n",
       "      <td>Parkdale, Roncesvalles</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td>M6S</td>\n",
       "      <td>West Toronto</td>\n",
       "      <td>Runnymede, Swansea</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>M7A</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Queen's Park, Ontario Provincial Government</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>M7R</td>\n",
       "      <td>Mississauga</td>\n",
       "      <td>Canada Post Gateway Processing Centre</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>M7Y</td>\n",
       "      <td>East Toronto</td>\n",
       "      <td>Business reply mail Processing Centre, South C...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>M8V</td>\n",
       "      <td>Etobicoke</td>\n",
       "      <td>New Toronto, Mimico South, Humber Bay Shores</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>M8W</td>\n",
       "      <td>Etobicoke</td>\n",
       "      <td>Alderwood, Long Branch</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>M8X</td>\n",
       "      <td>Etobicoke</td>\n",
       "      <td>The Kingsway, Montgomery Road, Old Mill North</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>M8Y</td>\n",
       "      <td>Etobicoke</td>\n",
       "      <td>Old Mill South, King's Mill Park, Sunnylea, Hu...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>M8Z</td>\n",
       "      <td>Etobicoke</td>\n",
       "      <td>Mimico NW, The Queensway West, South of Bloor,...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>M9A</td>\n",
       "      <td>Etobicoke</td>\n",
       "      <td>Islington Avenue, Humber Valley Village</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>M9B</td>\n",
       "      <td>Etobicoke</td>\n",
       "      <td>West Deane Park, Princess Gardens, Martin Grov...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>M9C</td>\n",
       "      <td>Etobicoke</td>\n",
       "      <td>Eringate, Bloordale Gardens, Old Burnhamthorpe...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>M9L</td>\n",
       "      <td>North York</td>\n",
       "      <td>Humber Summit</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>M9M</td>\n",
       "      <td>North York</td>\n",
       "      <td>Humberlea, Emery</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>M9N</td>\n",
       "      <td>York</td>\n",
       "      <td>Weston</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>M9P</td>\n",
       "      <td>Etobicoke</td>\n",
       "      <td>Westmount</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>M9R</td>\n",
       "      <td>Etobicoke</td>\n",
       "      <td>Kingsview Village, St. Phillips, Martin Grove ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101</th>\n",
       "      <td>M9V</td>\n",
       "      <td>Etobicoke</td>\n",
       "      <td>South Steeles, Silverstone, Humbergate, Jamest...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102</th>\n",
       "      <td>M9W</td>\n",
       "      <td>Etobicoke</td>\n",
       "      <td>Northwest, West Humber - Clairville</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    PostalCode           Borough  \\\n",
       "0          M1B       Scarborough   \n",
       "1          M1C       Scarborough   \n",
       "2          M1E       Scarborough   \n",
       "3          M1G       Scarborough   \n",
       "4          M1H       Scarborough   \n",
       "5          M1J       Scarborough   \n",
       "6          M1K       Scarborough   \n",
       "7          M1L       Scarborough   \n",
       "8          M1M       Scarborough   \n",
       "9          M1N       Scarborough   \n",
       "10         M1P       Scarborough   \n",
       "11         M1R       Scarborough   \n",
       "12         M1S       Scarborough   \n",
       "13         M1T       Scarborough   \n",
       "14         M1V       Scarborough   \n",
       "15         M1W       Scarborough   \n",
       "16         M1X       Scarborough   \n",
       "17         M2H        North York   \n",
       "18         M2J        North York   \n",
       "19         M2K        North York   \n",
       "20         M2L        North York   \n",
       "21         M2M        North York   \n",
       "22         M2N        North York   \n",
       "23         M2P        North York   \n",
       "24         M2R        North York   \n",
       "25         M3A        North York   \n",
       "26         M3B        North York   \n",
       "27         M3C        North York   \n",
       "28         M3H        North York   \n",
       "29         M3J        North York   \n",
       "30         M3K        North York   \n",
       "31         M3L        North York   \n",
       "32         M3M        North York   \n",
       "33         M3N        North York   \n",
       "34         M4A        North York   \n",
       "35         M4B         East York   \n",
       "36         M4C         East York   \n",
       "37         M4E      East Toronto   \n",
       "38         M4G         East York   \n",
       "39         M4H         East York   \n",
       "40         M4J         East York   \n",
       "41         M4K      East Toronto   \n",
       "42         M4L      East Toronto   \n",
       "43         M4M      East Toronto   \n",
       "44         M4N   Central Toronto   \n",
       "45         M4P   Central Toronto   \n",
       "46         M4R   Central Toronto   \n",
       "47         M4S   Central Toronto   \n",
       "48         M4T   Central Toronto   \n",
       "49         M4V   Central Toronto   \n",
       "50         M4W  Downtown Toronto   \n",
       "51         M4X  Downtown Toronto   \n",
       "52         M4Y  Downtown Toronto   \n",
       "53         M5A  Downtown Toronto   \n",
       "54         M5B  Downtown Toronto   \n",
       "55         M5C  Downtown Toronto   \n",
       "56         M5E  Downtown Toronto   \n",
       "57         M5G  Downtown Toronto   \n",
       "58         M5H  Downtown Toronto   \n",
       "59         M5J  Downtown Toronto   \n",
       "60         M5K  Downtown Toronto   \n",
       "61         M5L  Downtown Toronto   \n",
       "62         M5M        North York   \n",
       "63         M5N   Central Toronto   \n",
       "64         M5P   Central Toronto   \n",
       "65         M5R   Central Toronto   \n",
       "66         M5S  Downtown Toronto   \n",
       "67         M5T  Downtown Toronto   \n",
       "68         M5V  Downtown Toronto   \n",
       "69         M5W  Downtown Toronto   \n",
       "70         M5X  Downtown Toronto   \n",
       "71         M6A        North York   \n",
       "72         M6B        North York   \n",
       "73         M6C              York   \n",
       "74         M6E              York   \n",
       "75         M6G  Downtown Toronto   \n",
       "76         M6H      West Toronto   \n",
       "77         M6J      West Toronto   \n",
       "78         M6K      West Toronto   \n",
       "79         M6L        North York   \n",
       "80         M6M              York   \n",
       "81         M6N              York   \n",
       "82         M6P      West Toronto   \n",
       "83         M6R      West Toronto   \n",
       "84         M6S      West Toronto   \n",
       "85         M7A  Downtown Toronto   \n",
       "86         M7R       Mississauga   \n",
       "87         M7Y      East Toronto   \n",
       "88         M8V         Etobicoke   \n",
       "89         M8W         Etobicoke   \n",
       "90         M8X         Etobicoke   \n",
       "91         M8Y         Etobicoke   \n",
       "92         M8Z         Etobicoke   \n",
       "93         M9A         Etobicoke   \n",
       "94         M9B         Etobicoke   \n",
       "95         M9C         Etobicoke   \n",
       "96         M9L        North York   \n",
       "97         M9M        North York   \n",
       "98         M9N              York   \n",
       "99         M9P         Etobicoke   \n",
       "100        M9R         Etobicoke   \n",
       "101        M9V         Etobicoke   \n",
       "102        M9W         Etobicoke   \n",
       "\n",
       "                                          Neighborhood  \n",
       "0                                       Malvern, Rouge  \n",
       "1               Rouge Hill, Port Union, Highland Creek  \n",
       "2                    Guildwood, Morningside, West Hill  \n",
       "3                                               Woburn  \n",
       "4                                            Cedarbrae  \n",
       "5                                  Scarborough Village  \n",
       "6          Kennedy Park, Ionview, East Birchmount Park  \n",
       "7                      Golden Mile, Clairlea, Oakridge  \n",
       "8      Cliffside, Cliffcrest, Scarborough Village West  \n",
       "9                          Birch Cliff, Cliffside West  \n",
       "10   Dorset Park, Wexford Heights, Scarborough Town...  \n",
       "11                                   Wexford, Maryvale  \n",
       "12                                           Agincourt  \n",
       "13             Clarks Corners, Tam O'Shanter, Sullivan  \n",
       "14   Milliken, Agincourt North, Steeles East, L'Amo...  \n",
       "15                       Steeles West, L'Amoreaux West  \n",
       "16                                         Upper Rouge  \n",
       "17                                   Hillcrest Village  \n",
       "18                        Fairview, Henry Farm, Oriole  \n",
       "19                                     Bayview Village  \n",
       "20                            York Mills, Silver Hills  \n",
       "21                             Willowdale, Newtonbrook  \n",
       "22                         Willowdale, Willowdale East  \n",
       "23                                     York Mills West  \n",
       "24                         Willowdale, Willowdale West  \n",
       "25                                           Parkwoods  \n",
       "26                                           Don Mills  \n",
       "27                                           Don Mills  \n",
       "28     Bathurst Manor, Wilson Heights, Downsview North  \n",
       "29                     Northwood Park, York University  \n",
       "30                                           Downsview  \n",
       "31                                           Downsview  \n",
       "32                                           Downsview  \n",
       "33                                           Downsview  \n",
       "34                                    Victoria Village  \n",
       "35                     Parkview Hill, Woodbine Gardens  \n",
       "36                                    Woodbine Heights  \n",
       "37                                         The Beaches  \n",
       "38                                             Leaside  \n",
       "39                                    Thorncliffe Park  \n",
       "40       East Toronto, Broadview North (Old East York)  \n",
       "41                        The Danforth West, Riverdale  \n",
       "42                      India Bazaar, The Beaches West  \n",
       "43                                     Studio District  \n",
       "44                                       Lawrence Park  \n",
       "45                                    Davisville North  \n",
       "46                  North Toronto West,  Lawrence Park  \n",
       "47                                          Davisville  \n",
       "48                         Moore Park, Summerhill East  \n",
       "49   Summerhill West, Rathnelly, South Hill, Forest...  \n",
       "50                                            Rosedale  \n",
       "51                         St. James Town, Cabbagetown  \n",
       "52                                Church and Wellesley  \n",
       "53                           Regent Park, Harbourfront  \n",
       "54                            Garden District, Ryerson  \n",
       "55                                      St. James Town  \n",
       "56                                         Berczy Park  \n",
       "57                                  Central Bay Street  \n",
       "58                            Richmond, Adelaide, King  \n",
       "59   Harbourfront East, Union Station, Toronto Islands  \n",
       "60            Toronto Dominion Centre, Design Exchange  \n",
       "61                      Commerce Court, Victoria Hotel  \n",
       "62                   Bedford Park, Lawrence Manor East  \n",
       "63                                            Roselawn  \n",
       "64     Forest Hill North & West, Forest Hill Road Park  \n",
       "65                 The Annex, North Midtown, Yorkville  \n",
       "66                      University of Toronto, Harbord  \n",
       "67           Kensington Market, Chinatown, Grange Park  \n",
       "68   CN Tower, King and Spadina, Railway Lands, Har...  \n",
       "69                                      Stn A PO Boxes  \n",
       "70              First Canadian Place, Underground city  \n",
       "71                    Lawrence Manor, Lawrence Heights  \n",
       "72                                           Glencairn  \n",
       "73                                  Humewood-Cedarvale  \n",
       "74                                 Caledonia-Fairbanks  \n",
       "75                                            Christie  \n",
       "76                        Dufferin, Dovercourt Village  \n",
       "77                            Little Portugal, Trinity  \n",
       "78        Brockton, Parkdale Village, Exhibition Place  \n",
       "79            North Park, Maple Leaf Park, Upwood Park  \n",
       "80    Del Ray, Mount Dennis, Keelsdale and Silverthorn  \n",
       "81                       Runnymede, The Junction North  \n",
       "82                       High Park, The Junction South  \n",
       "83                              Parkdale, Roncesvalles  \n",
       "84                                  Runnymede, Swansea  \n",
       "85         Queen's Park, Ontario Provincial Government  \n",
       "86               Canada Post Gateway Processing Centre  \n",
       "87   Business reply mail Processing Centre, South C...  \n",
       "88        New Toronto, Mimico South, Humber Bay Shores  \n",
       "89                              Alderwood, Long Branch  \n",
       "90       The Kingsway, Montgomery Road, Old Mill North  \n",
       "91   Old Mill South, King's Mill Park, Sunnylea, Hu...  \n",
       "92   Mimico NW, The Queensway West, South of Bloor,...  \n",
       "93             Islington Avenue, Humber Valley Village  \n",
       "94   West Deane Park, Princess Gardens, Martin Grov...  \n",
       "95   Eringate, Bloordale Gardens, Old Burnhamthorpe...  \n",
       "96                                       Humber Summit  \n",
       "97                                    Humberlea, Emery  \n",
       "98                                              Weston  \n",
       "99                                           Westmount  \n",
       "100  Kingsview Village, St. Phillips, Martin Grove ...  \n",
       "101  South Steeles, Silverstone, Humbergate, Jamest...  \n",
       "102                Northwest, West Humber - Clairville  "
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = df.groupby(['PostalCode', 'Borough'])['Neighborhood'].apply(', '.join).reset_index()\n",
    "df.columns = ['PostalCode', 'Borough', 'Neighborhood']\n",
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Print the number of rows in the dataframe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(103, 3)"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Task 2: Add the latitude and longitude coordinates to the dataframe"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Using Google provider to find latitude and longitude"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[43.65609000000006, -79.38492999999994]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#install and import geocoder library\n",
    "#!pip install geocoder #uncomment if geocoder has not been installed yet\n",
    "import geocoder \n",
    "\n",
    "#define get_latlng function that returns the latitude and longitude coordinates for a postal code\n",
    "def get_latlng(postal_code):\n",
    "    # initialize your variable to None\n",
    "    lat_lng_coords = None\n",
    "\n",
    "    # loop until you get the coordinates\n",
    "    while(lat_lng_coords is None):\n",
    "        g = geocoder.arcgis('{}, Toronto, Ontario'.format(postal_code)) #geocoder.google is replaced with arcgis to make it go faster\n",
    "        lat_lng_coords = g.latlng\n",
    "    return lat_lng_coords\n",
    "    \n",
    "get_latlng('M5G')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Since Google provider is not reliable to get coordinates, retrieve postal code coordinates from provided website instead."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "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>PostalCode</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>M1B</td>\n",
       "      <td>43.806686</td>\n",
       "      <td>-79.194353</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>M1C</td>\n",
       "      <td>43.784535</td>\n",
       "      <td>-79.160497</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>M1E</td>\n",
       "      <td>43.763573</td>\n",
       "      <td>-79.188711</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>M1G</td>\n",
       "      <td>43.770992</td>\n",
       "      <td>-79.216917</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>M1H</td>\n",
       "      <td>43.773136</td>\n",
       "      <td>-79.239476</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  PostalCode   Latitude  Longitude\n",
       "0        M1B  43.806686 -79.194353\n",
       "1        M1C  43.784535 -79.160497\n",
       "2        M1E  43.763573 -79.188711\n",
       "3        M1G  43.770992 -79.216917\n",
       "4        M1H  43.773136 -79.239476"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_geo = pd.read_csv('http://cocl.us/Geospatial_data')\n",
    "df_geo.columns = ['PostalCode', 'Latitude', 'Longitude']\n",
    "df_geo.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Add latitude and longitude columns to the dataframe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "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>PostalCode</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>M1B</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Malvern, Rouge</td>\n",
       "      <td>43.806686</td>\n",
       "      <td>-79.194353</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>M1C</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Rouge Hill, Port Union, Highland Creek</td>\n",
       "      <td>43.784535</td>\n",
       "      <td>-79.160497</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>M1E</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Guildwood, Morningside, West Hill</td>\n",
       "      <td>43.763573</td>\n",
       "      <td>-79.188711</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>M1G</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Woburn</td>\n",
       "      <td>43.770992</td>\n",
       "      <td>-79.216917</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>M1H</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Cedarbrae</td>\n",
       "      <td>43.773136</td>\n",
       "      <td>-79.239476</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  PostalCode      Borough                            Neighborhood   Latitude  \\\n",
       "0        M1B  Scarborough                          Malvern, Rouge  43.806686   \n",
       "1        M1C  Scarborough  Rouge Hill, Port Union, Highland Creek  43.784535   \n",
       "2        M1E  Scarborough       Guildwood, Morningside, West Hill  43.763573   \n",
       "3        M1G  Scarborough                                  Woburn  43.770992   \n",
       "4        M1H  Scarborough                               Cedarbrae  43.773136   \n",
       "\n",
       "   Longitude  \n",
       "0 -79.194353  \n",
       "1 -79.160497  \n",
       "2 -79.188711  \n",
       "3 -79.216917  \n",
       "4 -79.239476  "
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_TO = pd.merge(df, df_geo, on=['PostalCode'], how='inner')\n",
    "df_TO.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Check the coordinates of one of the rows"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "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>PostalCode</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>57</th>\n",
       "      <td>M5G</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Central Bay Street</td>\n",
       "      <td>43.657952</td>\n",
       "      <td>-79.387383</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   PostalCode           Borough        Neighborhood   Latitude  Longitude\n",
       "57        M5G  Downtown Toronto  Central Bay Street  43.657952 -79.387383"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_TO[df_TO.PostalCode == 'M5G']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Task 3: Explore and visualize the cluster of neighborhoods in Toronto"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Use geopy library to get the latitude and longitude values of Toronto."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The geograpical coordinate of Toronto are 43.6534817, -79.3839347.\n"
     ]
    }
   ],
   "source": [
    "address = 'Toronto, Ontario'\n",
    "\n",
    "geolocator = Nominatim(user_agent=\"toronto_explorer\")\n",
    "location = geolocator.geocode(address)\n",
    "latitude = location.latitude\n",
    "longitude = location.longitude\n",
    "print('The geograpical coordinate of Toronto are {}, {}.'.format(latitude, longitude))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Create a map of Toronto with neighborhoods superimposed on top."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
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</script> onload=\"this.contentDocument.open();this.contentDocument.write(atob(this.getAttribute('data-html')));this.contentDocument.close();\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
      ],
      "text/plain": [
       "<folium.folium.Map at 0x1861da03400>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# create map of Toronto using latitude and longitude values\n",
    "map_toronto = folium.Map(location=[latitude, longitude], zoom_start=10)\n",
    "\n",
    "# add markers to map\n",
    "for lat, lng, borough, neighborhood in zip(df_TO['Latitude'], df_TO['Longitude'], df_TO['Borough'], df_TO['Neighborhood']):\n",
    "    label = '{}, {}'.format(neighborhood, borough)\n",
    "    label = folium.Popup(label, parse_html=True)\n",
    "    folium.CircleMarker(\n",
    "        [lat, lng],\n",
    "        radius=5,\n",
    "        popup=label,\n",
    "        color='blue',\n",
    "        fill=True,\n",
    "        fill_color='#3186cc',\n",
    "        fill_opacity=0.7).add_to(map_toronto)  \n",
    "    \n",
    "map_toronto"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Select only the boroughs that contain the word Toronto"
   ]
  },
  {
   "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>PostalCode</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>M4E</td>\n",
       "      <td>East Toronto</td>\n",
       "      <td>The Beaches</td>\n",
       "      <td>43.676357</td>\n",
       "      <td>-79.293031</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>M4K</td>\n",
       "      <td>East Toronto</td>\n",
       "      <td>The Danforth West, Riverdale</td>\n",
       "      <td>43.679557</td>\n",
       "      <td>-79.352188</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>M4L</td>\n",
       "      <td>East Toronto</td>\n",
       "      <td>India Bazaar, The Beaches West</td>\n",
       "      <td>43.668999</td>\n",
       "      <td>-79.315572</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>M4M</td>\n",
       "      <td>East Toronto</td>\n",
       "      <td>Studio District</td>\n",
       "      <td>43.659526</td>\n",
       "      <td>-79.340923</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>M4N</td>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>Lawrence Park</td>\n",
       "      <td>43.728020</td>\n",
       "      <td>-79.388790</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  PostalCode          Borough                    Neighborhood   Latitude  \\\n",
       "0        M4E     East Toronto                     The Beaches  43.676357   \n",
       "1        M4K     East Toronto    The Danforth West, Riverdale  43.679557   \n",
       "2        M4L     East Toronto  India Bazaar, The Beaches West  43.668999   \n",
       "3        M4M     East Toronto                 Studio District  43.659526   \n",
       "4        M4N  Central Toronto                   Lawrence Park  43.728020   \n",
       "\n",
       "   Longitude  \n",
       "0 -79.293031  \n",
       "1 -79.352188  \n",
       "2 -79.315572  \n",
       "3 -79.340923  \n",
       "4 -79.388790  "
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_TO1 = df_TO[df_TO['Borough'].str.contains('Toronto')]\n",
    "df_TO1 = df_TO1.reset_index(drop=True)\n",
    "df_TO1.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Create a map of only the boroughs that contain the word Toronto"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<div style=\"width:100%;\"><div style=\"position:relative;width:100%;height:0;padding-bottom:60%;\"><span style=\"color:#565656\">Make this Notebook Trusted to load map: File -> Trust Notebook</span><iframe src=\"about:blank\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" data-html=<!DOCTYPE html>
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<body>    
    
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                {"bubblingMouseEvents": true, "color": "green", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#008080", "fillOpacity": 0.5, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_8089fa93d0bb405f98bc4a5a97e583e5);
        
    
        var popup_7be872023eb147ed9e098246dfdffbb7 = L.popup({"maxWidth": "100%"});

        
            var html_e2bb19f28b4d41debc04353975e0011c = $(`<div id="html_e2bb19f28b4d41debc04353975e0011c" style="width: 100.0%; height: 100.0%;">University of Toronto, Harbord, Downtown Toronto</div>`)[0];
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                [43.6532057, -79.4000493],
                {"bubblingMouseEvents": true, "color": "green", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#008080", "fillOpacity": 0.5, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
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            var html_5a08a247544a4e41aba2f291b2c9b2bb = $(`<div id="html_5a08a247544a4e41aba2f291b2c9b2bb" style="width: 100.0%; height: 100.0%;">Kensington Market, Chinatown, Grange Park, Downtown Toronto</div>`)[0];
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        var popup_5966e4f523d44e60906f99f65820922f = L.popup({"maxWidth": "100%"});

        
            var html_9ef3899e8edc4f1cbaa1f38b881d567d = $(`<div id="html_9ef3899e8edc4f1cbaa1f38b881d567d" style="width: 100.0%; height: 100.0%;">CN Tower, King and Spadina, Railway Lands, Harbourfront West, Bathurst Quay, South Niagara, Island airport, Downtown Toronto</div>`)[0];
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        var popup_4d97c4dc4dd949d68c2571e57253d344 = L.popup({"maxWidth": "100%"});

        
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                [43.6484292, -79.3822802],
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            var html_0076b02a287447b7881477824b18a1bb = $(`<div id="html_0076b02a287447b7881477824b18a1bb" style="width: 100.0%; height: 100.0%;">First Canadian Place, Underground city, Downtown Toronto</div>`)[0];
            popup_d8ada5506627453e942c33b58e8cc895.setContent(html_0076b02a287447b7881477824b18a1bb);
        

        circle_marker_88797c3eccca4f588e46c2ebdcfe6dd1.bindPopup(popup_d8ada5506627453e942c33b58e8cc895)
        ;

        
    
    
            var circle_marker_b2fdb6c1a5eb4a8090747f846841745a = L.circleMarker(
                [43.669542, -79.4225637],
                {"bubblingMouseEvents": true, "color": "green", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#008080", "fillOpacity": 0.5, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_8089fa93d0bb405f98bc4a5a97e583e5);
        
    
        var popup_82153eb0ea7c4e0b8fdc6cdea244fa74 = L.popup({"maxWidth": "100%"});

        
            var html_4b0f5aed43f14dbb9cb43d032ecbb89d = $(`<div id="html_4b0f5aed43f14dbb9cb43d032ecbb89d" style="width: 100.0%; height: 100.0%;">Christie, Downtown Toronto</div>`)[0];
            popup_82153eb0ea7c4e0b8fdc6cdea244fa74.setContent(html_4b0f5aed43f14dbb9cb43d032ecbb89d);
        

        circle_marker_b2fdb6c1a5eb4a8090747f846841745a.bindPopup(popup_82153eb0ea7c4e0b8fdc6cdea244fa74)
        ;

        
    
    
            var circle_marker_24318d6cce0c4a29bc81c22da671394c = L.circleMarker(
                [43.66900510000001, -79.4422593],
                {"bubblingMouseEvents": true, "color": "green", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#008080", "fillOpacity": 0.5, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_8089fa93d0bb405f98bc4a5a97e583e5);
        
    
        var popup_bfbd64e6f19d4c09b9981ebd469f173a = L.popup({"maxWidth": "100%"});

        
            var html_172c0b5a5bdf4dbb857ba702ae06b88b = $(`<div id="html_172c0b5a5bdf4dbb857ba702ae06b88b" style="width: 100.0%; height: 100.0%;">Dufferin, Dovercourt Village, West Toronto</div>`)[0];
            popup_bfbd64e6f19d4c09b9981ebd469f173a.setContent(html_172c0b5a5bdf4dbb857ba702ae06b88b);
        

        circle_marker_24318d6cce0c4a29bc81c22da671394c.bindPopup(popup_bfbd64e6f19d4c09b9981ebd469f173a)
        ;

        
    
    
            var circle_marker_a6869c15ad4549bd9ccfe139477fc671 = L.circleMarker(
                [43.647926700000006, -79.4197497],
                {"bubblingMouseEvents": true, "color": "green", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#008080", "fillOpacity": 0.5, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_8089fa93d0bb405f98bc4a5a97e583e5);
        
    
        var popup_c50cc7fd3ad14626bcb5379cb6a8287e = L.popup({"maxWidth": "100%"});

        
            var html_8e968a2946ce4874a87dece2b113addb = $(`<div id="html_8e968a2946ce4874a87dece2b113addb" style="width: 100.0%; height: 100.0%;">Little Portugal, Trinity, West Toronto</div>`)[0];
            popup_c50cc7fd3ad14626bcb5379cb6a8287e.setContent(html_8e968a2946ce4874a87dece2b113addb);
        

        circle_marker_a6869c15ad4549bd9ccfe139477fc671.bindPopup(popup_c50cc7fd3ad14626bcb5379cb6a8287e)
        ;

        
    
    
            var circle_marker_35d58d7b12b64132b702640eb929c471 = L.circleMarker(
                [43.6368472, -79.42819140000002],
                {"bubblingMouseEvents": true, "color": "green", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#008080", "fillOpacity": 0.5, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_8089fa93d0bb405f98bc4a5a97e583e5);
        
    
        var popup_6c3deb1a66f2493c9e669a758c27f940 = L.popup({"maxWidth": "100%"});

        
            var html_470974ba36bf4f98a10d3ee03735b107 = $(`<div id="html_470974ba36bf4f98a10d3ee03735b107" style="width: 100.0%; height: 100.0%;">Brockton, Parkdale Village, Exhibition Place, West Toronto</div>`)[0];
            popup_6c3deb1a66f2493c9e669a758c27f940.setContent(html_470974ba36bf4f98a10d3ee03735b107);
        

        circle_marker_35d58d7b12b64132b702640eb929c471.bindPopup(popup_6c3deb1a66f2493c9e669a758c27f940)
        ;

        
    
    
            var circle_marker_fd26463fd70845d2887007766af6784c = L.circleMarker(
                [43.6616083, -79.46476329999999],
                {"bubblingMouseEvents": true, "color": "green", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#008080", "fillOpacity": 0.5, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_8089fa93d0bb405f98bc4a5a97e583e5);
        
    
        var popup_84f6a423893e4edaae050bf47ba834a8 = L.popup({"maxWidth": "100%"});

        
            var html_fc9c49bf55da476ea97a55718b2e2a6a = $(`<div id="html_fc9c49bf55da476ea97a55718b2e2a6a" style="width: 100.0%; height: 100.0%;">High Park, The Junction South, West Toronto</div>`)[0];
            popup_84f6a423893e4edaae050bf47ba834a8.setContent(html_fc9c49bf55da476ea97a55718b2e2a6a);
        

        circle_marker_fd26463fd70845d2887007766af6784c.bindPopup(popup_84f6a423893e4edaae050bf47ba834a8)
        ;

        
    
    
            var circle_marker_60cdd29b2bde412e8b2ceb9ec7df3b92 = L.circleMarker(
                [43.6489597, -79.456325],
                {"bubblingMouseEvents": true, "color": "green", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#008080", "fillOpacity": 0.5, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_8089fa93d0bb405f98bc4a5a97e583e5);
        
    
        var popup_00100bcce53640099856eedcdc2e6333 = L.popup({"maxWidth": "100%"});

        
            var html_72e9907a6ba347f3b9d8e527365417fa = $(`<div id="html_72e9907a6ba347f3b9d8e527365417fa" style="width: 100.0%; height: 100.0%;">Parkdale, Roncesvalles, West Toronto</div>`)[0];
            popup_00100bcce53640099856eedcdc2e6333.setContent(html_72e9907a6ba347f3b9d8e527365417fa);
        

        circle_marker_60cdd29b2bde412e8b2ceb9ec7df3b92.bindPopup(popup_00100bcce53640099856eedcdc2e6333)
        ;

        
    
    
            var circle_marker_e65dddd996bd4c7a8dee20c7448c7d62 = L.circleMarker(
                [43.6515706, -79.4844499],
                {"bubblingMouseEvents": true, "color": "green", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#008080", "fillOpacity": 0.5, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_8089fa93d0bb405f98bc4a5a97e583e5);
        
    
        var popup_a70a299d33414a81a6018c1d4b4c20ca = L.popup({"maxWidth": "100%"});

        
            var html_48ed8e9607a64e9796ed7c939f14b069 = $(`<div id="html_48ed8e9607a64e9796ed7c939f14b069" style="width: 100.0%; height: 100.0%;">Runnymede, Swansea, West Toronto</div>`)[0];
            popup_a70a299d33414a81a6018c1d4b4c20ca.setContent(html_48ed8e9607a64e9796ed7c939f14b069);
        

        circle_marker_e65dddd996bd4c7a8dee20c7448c7d62.bindPopup(popup_a70a299d33414a81a6018c1d4b4c20ca)
        ;

        
    
    
            var circle_marker_a7d2778e06a94a4fa5d1b822b6902ce5 = L.circleMarker(
                [43.6623015, -79.3894938],
                {"bubblingMouseEvents": true, "color": "green", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#008080", "fillOpacity": 0.5, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_8089fa93d0bb405f98bc4a5a97e583e5);
        
    
        var popup_f36a184ab0f44328b8c10288a47b015d = L.popup({"maxWidth": "100%"});

        
            var html_29339a9901e245e08b13c9a66d81152f = $(`<div id="html_29339a9901e245e08b13c9a66d81152f" style="width: 100.0%; height: 100.0%;">Queen&#39;s Park, Ontario Provincial Government, Downtown Toronto</div>`)[0];
            popup_f36a184ab0f44328b8c10288a47b015d.setContent(html_29339a9901e245e08b13c9a66d81152f);
        

        circle_marker_a7d2778e06a94a4fa5d1b822b6902ce5.bindPopup(popup_f36a184ab0f44328b8c10288a47b015d)
        ;

        
    
    
            var circle_marker_95f8b9039f6b478aa64cc80a47506a53 = L.circleMarker(
                [43.6627439, -79.321558],
                {"bubblingMouseEvents": true, "color": "green", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#008080", "fillOpacity": 0.5, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_8089fa93d0bb405f98bc4a5a97e583e5);
        
    
        var popup_e7f3de6a85a84ec89a91542026ef6720 = L.popup({"maxWidth": "100%"});

        
            var html_4a25aad5290f4a10aa3c8152b82eca5e = $(`<div id="html_4a25aad5290f4a10aa3c8152b82eca5e" style="width: 100.0%; height: 100.0%;">Business reply mail Processing Centre, South Central Letter Processing Plant Toronto, East Toronto</div>`)[0];
            popup_e7f3de6a85a84ec89a91542026ef6720.setContent(html_4a25aad5290f4a10aa3c8152b82eca5e);
        

        circle_marker_95f8b9039f6b478aa64cc80a47506a53.bindPopup(popup_e7f3de6a85a84ec89a91542026ef6720)
        ;

        
    
</script> onload=\"this.contentDocument.open();this.contentDocument.write(atob(this.getAttribute('data-html')));this.contentDocument.close();\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
      ],
      "text/plain": [
       "<folium.folium.Map at 0x1861daf6b38>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# create map of Toronto using latitude and longitude values\n",
    "map_TO1 = folium.Map(location=[latitude, longitude], zoom_start=10)\n",
    "\n",
    "# add markers to map\n",
    "for lat, lng, borough, neighborhood in zip(df_TO1['Latitude'], df_TO1['Longitude'], df_TO1['Borough'], df_TO1['Neighborhood']):\n",
    "    label = '{}, {}'.format(neighborhood, borough)\n",
    "    label = folium.Popup(label, parse_html=True)\n",
    "    folium.CircleMarker(\n",
    "        [lat, lng],\n",
    "        radius=5,\n",
    "        popup=label,\n",
    "        color='green',\n",
    "        fill=True,\n",
    "        fill_color='#008080',\n",
    "        fill_opacity=0.5).add_to(map_TO1)  \n",
    "    \n",
    "map_TO1"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Define Foursquare Credentials and Version"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Your credentials:\n",
      "CLIENT_ID: hidden\n",
      "CLIENT_SECRET:hidden\n"
     ]
    }
   ],
   "source": [
    "CLIENT_ID = 'hidden' # your Foursquare ID\n",
    "CLIENT_SECRET = 'hidden' # your Foursquare Secret\n",
    "VERSION = '20180605' # Foursquare API version\n",
    "\n",
    "print('Your credentials:')\n",
    "print('CLIENT_ID: ' + CLIENT_ID)\n",
    "print('CLIENT_SECRET:' + CLIENT_SECRET)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Explore the first neighborhood and get its latitude and longitude values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'The Beaches'"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_TO1.loc[0, 'Neighborhood']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Latitude and longitude values of The Beaches are 43.67635739999999, -79.2930312.\n"
     ]
    }
   ],
   "source": [
    "neighborhood_latitude = df_TO1.loc[0, 'Latitude'] # neighborhood latitude value\n",
    "neighborhood_longitude = df_TO1.loc[0, 'Longitude'] # neighborhood longitude value\n",
    "\n",
    "neighborhood_name = df_TO1.loc[0, 'Neighborhood'] # neighborhood name\n",
    "\n",
    "print('Latitude and longitude values of {} are {}, {}.'.format(neighborhood_name, \n",
    "                                                               neighborhood_latitude, \n",
    "                                                               neighborhood_longitude))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Let's see what the top 100 venues are within a radius from the centroid of 500 meters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'meta': {'code': 200, 'requestId': '5f27a0fcc8e3474a39f00666'},\n",
       " 'response': {'headerLocation': 'The Beaches',\n",
       "  'headerFullLocation': 'The Beaches, Toronto',\n",
       "  'headerLocationGranularity': 'neighborhood',\n",
       "  'totalResults': 4,\n",
       "  'suggestedBounds': {'ne': {'lat': 43.680857404499996,\n",
       "    'lng': -79.28682091449052},\n",
       "   'sw': {'lat': 43.67185739549999, 'lng': -79.29924148550948}},\n",
       "  'groups': [{'type': 'Recommended Places',\n",
       "    'name': 'recommended',\n",
       "    'items': [{'reasons': {'count': 0,\n",
       "       'items': [{'summary': 'This spot is popular',\n",
       "         'type': 'general',\n",
       "         'reasonName': 'globalInteractionReason'}]},\n",
       "      'venue': {'id': '4bd461bc77b29c74a07d9282',\n",
       "       'name': 'Glen Manor Ravine',\n",
       "       'location': {'address': 'Glen Manor',\n",
       "        'crossStreet': 'Queen St.',\n",
       "        'lat': 43.67682094413784,\n",
       "        'lng': -79.29394208780985,\n",
       "        'labeledLatLngs': [{'label': 'display',\n",
       "          'lat': 43.67682094413784,\n",
       "          'lng': -79.29394208780985}],\n",
       "        'distance': 89,\n",
       "        'cc': 'CA',\n",
       "        'city': 'Toronto',\n",
       "        'state': 'ON',\n",
       "        'country': 'Canada',\n",
       "        'formattedAddress': ['Glen Manor (Queen St.)',\n",
       "         'Toronto ON',\n",
       "         'Canada']},\n",
       "       'categories': [{'id': '4bf58dd8d48988d159941735',\n",
       "         'name': 'Trail',\n",
       "         'pluralName': 'Trails',\n",
       "         'shortName': 'Trail',\n",
       "         'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/parks_outdoors/hikingtrail_',\n",
       "          'suffix': '.png'},\n",
       "         'primary': True}],\n",
       "       'photos': {'count': 0, 'groups': []}},\n",
       "      'referralId': 'e-0-4bd461bc77b29c74a07d9282-0'},\n",
       "     {'reasons': {'count': 0,\n",
       "       'items': [{'summary': 'This spot is popular',\n",
       "         'type': 'general',\n",
       "         'reasonName': 'globalInteractionReason'}]},\n",
       "      'venue': {'id': '4ad4c062f964a52011f820e3',\n",
       "       'name': 'The Big Carrot Natural Food Market',\n",
       "       'location': {'address': '125 Southwood Dr',\n",
       "        'lat': 43.678879,\n",
       "        'lng': -79.297734,\n",
       "        'labeledLatLngs': [{'label': 'display',\n",
       "          'lat': 43.678879,\n",
       "          'lng': -79.297734}],\n",
       "        'distance': 471,\n",
       "        'postalCode': 'M4E 0B8',\n",
       "        'cc': 'CA',\n",
       "        'city': 'Toronto',\n",
       "        'state': 'ON',\n",
       "        'country': 'Canada',\n",
       "        'formattedAddress': ['125 Southwood Dr',\n",
       "         'Toronto ON M4E 0B8',\n",
       "         'Canada']},\n",
       "       'categories': [{'id': '50aa9e744b90af0d42d5de0e',\n",
       "         'name': 'Health Food Store',\n",
       "         'pluralName': 'Health Food Stores',\n",
       "         'shortName': 'Health Food Store',\n",
       "         'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/shops/food_grocery_',\n",
       "          'suffix': '.png'},\n",
       "         'primary': True}],\n",
       "       'photos': {'count': 0, 'groups': []},\n",
       "       'venuePage': {'id': '75150878'}},\n",
       "      'referralId': 'e-0-4ad4c062f964a52011f820e3-1'},\n",
       "     {'reasons': {'count': 0,\n",
       "       'items': [{'summary': 'This spot is popular',\n",
       "         'type': 'general',\n",
       "         'reasonName': 'globalInteractionReason'}]},\n",
       "      'venue': {'id': '4b8daea1f964a520480833e3',\n",
       "       'name': 'Grover Pub and Grub',\n",
       "       'location': {'address': '676 Kingston Rd.',\n",
       "        'crossStreet': 'at Main St.',\n",
       "        'lat': 43.679181434941015,\n",
       "        'lng': -79.29721535878515,\n",
       "        'labeledLatLngs': [{'label': 'display',\n",
       "          'lat': 43.679181434941015,\n",
       "          'lng': -79.29721535878515}],\n",
       "        'distance': 460,\n",
       "        'postalCode': 'M4E 1R4',\n",
       "        'cc': 'CA',\n",
       "        'city': 'Toronto',\n",
       "        'state': 'ON',\n",
       "        'country': 'Canada',\n",
       "        'formattedAddress': ['676 Kingston Rd. (at Main St.)',\n",
       "         'Toronto ON M4E 1R4',\n",
       "         'Canada']},\n",
       "       'categories': [{'id': '4bf58dd8d48988d11b941735',\n",
       "         'name': 'Pub',\n",
       "         'pluralName': 'Pubs',\n",
       "         'shortName': 'Pub',\n",
       "         'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/nightlife/pub_',\n",
       "          'suffix': '.png'},\n",
       "         'primary': True}],\n",
       "       'photos': {'count': 0, 'groups': []}},\n",
       "      'referralId': 'e-0-4b8daea1f964a520480833e3-2'},\n",
       "     {'reasons': {'count': 0,\n",
       "       'items': [{'summary': 'This spot is popular',\n",
       "         'type': 'general',\n",
       "         'reasonName': 'globalInteractionReason'}]},\n",
       "      'venue': {'id': '4df91c4bae60f95f82229ad5',\n",
       "       'name': 'Upper Beaches',\n",
       "       'location': {'lat': 43.68056321147582,\n",
       "        'lng': -79.2928688743688,\n",
       "        'labeledLatLngs': [{'label': 'display',\n",
       "          'lat': 43.68056321147582,\n",
       "          'lng': -79.2928688743688}],\n",
       "        'distance': 468,\n",
       "        'cc': 'CA',\n",
       "        'city': 'Toronto',\n",
       "        'state': 'ON',\n",
       "        'country': 'Canada',\n",
       "        'formattedAddress': ['Toronto ON', 'Canada']},\n",
       "       'categories': [{'id': '4f2a25ac4b909258e854f55f',\n",
       "         'name': 'Neighborhood',\n",
       "         'pluralName': 'Neighborhoods',\n",
       "         'shortName': 'Neighborhood',\n",
       "         'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/parks_outdoors/neighborhood_',\n",
       "          'suffix': '.png'},\n",
       "         'primary': True}],\n",
       "       'photos': {'count': 0, 'groups': []}},\n",
       "      'referralId': 'e-0-4df91c4bae60f95f82229ad5-3'}]}]}}"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "LIMIT = 100\n",
    "radius = 500\n",
    "\n",
    "url = 'https://api.foursquare.com/v2/venues/explore?&client_id={}&client_secret={}&v={}&ll={},{}&radius={}&limit={}'.format(\n",
    "    CLIENT_ID, \n",
    "    CLIENT_SECRET, \n",
    "    VERSION, \n",
    "    neighborhood_latitude, \n",
    "    neighborhood_longitude, \n",
    "    radius, \n",
    "    LIMIT)\n",
    "\n",
    "results = requests.get(url).json()\n",
    "results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "# function that extracts the category of the venue\n",
    "def get_category_type(row):\n",
    "    try:\n",
    "        categories_list = row['categories']\n",
    "    except:\n",
    "        categories_list = row['venue.categories']\n",
    "        \n",
    "    if len(categories_list) == 0:\n",
    "        return None\n",
    "    else:\n",
    "        return categories_list[0]['name']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Clean the json and structure it into a pandas dataframe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\u6syu\\AppData\\Local\\Continuum\\anaconda3\\envs\\datascienceprep\\lib\\site-packages\\ipykernel_launcher.py:3: FutureWarning: pandas.io.json.json_normalize is deprecated, use pandas.json_normalize instead\n",
      "  This is separate from the ipykernel package so we can avoid doing imports until\n"
     ]
    },
    {
     "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>name</th>\n",
       "      <th>categories</th>\n",
       "      <th>lat</th>\n",
       "      <th>lng</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Glen Manor Ravine</td>\n",
       "      <td>Trail</td>\n",
       "      <td>43.676821</td>\n",
       "      <td>-79.293942</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>The Big Carrot Natural Food Market</td>\n",
       "      <td>Health Food Store</td>\n",
       "      <td>43.678879</td>\n",
       "      <td>-79.297734</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Grover Pub and Grub</td>\n",
       "      <td>Pub</td>\n",
       "      <td>43.679181</td>\n",
       "      <td>-79.297215</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Upper Beaches</td>\n",
       "      <td>Neighborhood</td>\n",
       "      <td>43.680563</td>\n",
       "      <td>-79.292869</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                 name         categories        lat        lng\n",
       "0                   Glen Manor Ravine              Trail  43.676821 -79.293942\n",
       "1  The Big Carrot Natural Food Market  Health Food Store  43.678879 -79.297734\n",
       "2                 Grover Pub and Grub                Pub  43.679181 -79.297215\n",
       "3                       Upper Beaches       Neighborhood  43.680563 -79.292869"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "venues = results['response']['groups'][0]['items']\n",
    "    \n",
    "nearby_venues = json_normalize(venues) # flatten JSON\n",
    "\n",
    "# filter columns\n",
    "filtered_columns = ['venue.name', 'venue.categories', 'venue.location.lat', 'venue.location.lng']\n",
    "nearby_venues =nearby_venues.loc[:, filtered_columns]\n",
    "\n",
    "# filter the category for each row\n",
    "nearby_venues['venue.categories'] = nearby_venues.apply(get_category_type, axis=1)\n",
    "\n",
    "# clean columns\n",
    "nearby_venues.columns = [col.split(\".\")[-1] for col in nearby_venues.columns]\n",
    "\n",
    "nearby_venues.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### And how many venues were returned by Foursquare?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "4 venues were returned by Foursquare.\n"
     ]
    }
   ],
   "source": [
    "print('{} venues were returned by Foursquare.'.format(nearby_venues.shape[0]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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