Segmenting and Clustering Neighborhoods in Toronto.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "import requests as req\n",
    "from bs4 import BeautifulSoup    \n",
    "import pandas as pd\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "raw_page = req.get(\"https://en.wikipedia.org/wiki/List_of_postal_codes_of_Canada:_M\").text"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "#method which will take HTML table as input and return pandas dataframe\n",
    "def parse_table(table,columns_headers):\n",
    "    n_columns = 0\n",
    "    n_rows=0\n",
    "    for row in table.find_all('tr'):\n",
    "        column_data = row.find_all('td')\n",
    "        if len(column_data) > 0:\n",
    "            n_rows+=1\n",
    "            if n_columns == 0:\n",
    "                n_columns = len(column_data)\n",
    "    df = pd.DataFrame(columns = columns_headers,index= range(0,n_rows))\n",
    "    row_marker = 0\n",
    "    for row in table.find_all('tr'):\n",
    "        column_marker = 0\n",
    "        columns = row.find_all('td')\n",
    "        for column in columns:\n",
    "            df.iat[row_marker,column_marker] = column.get_text()\n",
    "            column_marker += 1\n",
    "        if len(columns) > 0:\n",
    "            row_marker += 1\n",
    "    return df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "soup = BeautifulSoup(raw_page, 'lxml')\n",
    "dataFrm = parse_table(soup.find_all('table')[0],['Postcode','Borough','Neighbourhood'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "dataFrm['Neighbourhood'] = dataFrm.Neighbourhood.str.replace(r'\\n', '')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The dataframe will consist of three columns: PostalCode, Borough, and Neighborhood\n",
    "Only process the cells that have an assigned borough. Ignore cells with a borough that is Not assigned."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = dataFrm[dataFrm['Borough']!='Not assigned']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "More than one neighborhood can exist in one postal code area. For example, in the table on the Wikipedia page, you will notice that M5A is listed twice and has two neighborhoods: Harbourfront and Regent Park. These two rows will be combined into one row with the neighborhoods separated with a comma as shown in row 11 in the above table."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    " df = df.groupby(['Postcode','Borough']).Neighbourhood.agg([('Neighbourhood', ', '.join)])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "If a cell has a borough but a Not assigned neighborhood, then the neighborhood will be the same as the borough. \n",
    "So for the 9th cell in the table on the Wikipedia page, the value of the Borough and the Neighborhood columns will be Queen's Park."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.reset_index(level=['Postcode', 'Borough'], inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "def correctNeighbourhood(row):\n",
    "    ans = ''\n",
    "    if(row['Neighbourhood']=='Not assigned'):\n",
    "        ans = row['Borough']\n",
    "    else:\n",
    "        ans = row['Neighbourhood']\n",
    "    row['Neighbourhood']=ans    \n",
    "    return row\n",
    "df = df.apply(lambda row : correctNeighbourhood(row), axis=1)"
   ]
  },
  {
   "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": [
    "Instead of geocoder package, using a csv file that has the geographical coordinates of each postal code"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "import io\n",
    "csv_url=\"http://cocl.us/Geospatial_data\"\n",
    "csv_data=req.get(csv_url).content\n",
    "csv=pd.read_csv(io.StringIO(csv_data.decode('utf-8')))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "finalDF = df.join(csv)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Solving environment: done\n",
      "\n",
      "# All requested packages already installed.\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# grabbed relevant imports required for visualization and cluster analysis\n",
    "import json # library to handle JSON files\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 you haven't completed the Foursquare API lab\n",
    "import folium # map rendering library"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Solving environment: done\n",
      "\n",
      "# All requested packages already installed.\n",
      "\n"
     ]
    }
   ],
   "source": [
    "!conda install -c conda-forge geopy --yes # uncomment this line if you haven't completed the Foursquare API lab\n",
    "from geopy.geocoders import Nominatim # convert an address into latitude and longitude values"
   ]
  },
  {
   "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>Postcode</th>\n",
       "      <th>Borough</th>\n",
       "      <th>Neighbourhood</th>\n",
       "      <th>Postal Code</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>M4E</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>M4K</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>The Beaches West, India Bazaar</td>\n",
       "      <td>M4L</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>M4M</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>M4N</td>\n",
       "      <td>43.728020</td>\n",
       "      <td>-79.388790</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Postcode          Borough                   Neighbourhood Postal Code  \\\n",
       "0      M4E     East Toronto                     The Beaches         M4E   \n",
       "1      M4K     East Toronto    The Danforth West, Riverdale         M4K   \n",
       "2      M4L     East Toronto  The Beaches West, India Bazaar         M4L   \n",
       "3      M4M     East Toronto                 Studio District         M4M   \n",
       "4      M4N  Central Toronto                   Lawrence Park         M4N   \n",
       "\n",
       "    Latitude  Longitude  \n",
       "0  43.676357 -79.293031  \n",
       "1  43.679557 -79.352188  \n",
       "2  43.668999 -79.315572  \n",
       "3  43.659526 -79.340923  \n",
       "4  43.728020 -79.388790  "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "final_data = finalDF[finalDF['Borough'].str.contains('Toronto')].reset_index(drop=True)\n",
    "final_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "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>Postcode</th>\n",
       "      <th>Borough</th>\n",
       "      <th>Neighbourhood</th>\n",
       "      <th>Postal Code</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>M4E</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>M4K</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>The Beaches West, India Bazaar</td>\n",
       "      <td>M4L</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>M4M</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>M4N</td>\n",
       "      <td>43.728020</td>\n",
       "      <td>-79.388790</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>M4P</td>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>Davisville North</td>\n",
       "      <td>M4P</td>\n",
       "      <td>43.712751</td>\n",
       "      <td>-79.390197</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>M4R</td>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>North Toronto West</td>\n",
       "      <td>M4R</td>\n",
       "      <td>43.715383</td>\n",
       "      <td>-79.405678</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>M4S</td>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>Davisville</td>\n",
       "      <td>M4S</td>\n",
       "      <td>43.704324</td>\n",
       "      <td>-79.388790</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>M4T</td>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>Moore Park, Summerhill East</td>\n",
       "      <td>M4T</td>\n",
       "      <td>43.689574</td>\n",
       "      <td>-79.383160</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>M4V</td>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>Deer Park, Forest Hill SE, Rathnelly, South Hi...</td>\n",
       "      <td>M4V</td>\n",
       "      <td>43.686412</td>\n",
       "      <td>-79.400049</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>M4W</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Rosedale</td>\n",
       "      <td>M4W</td>\n",
       "      <td>43.679563</td>\n",
       "      <td>-79.377529</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>M4X</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Cabbagetown, St. James Town</td>\n",
       "      <td>M4X</td>\n",
       "      <td>43.667967</td>\n",
       "      <td>-79.367675</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>M4Y</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Church and Wellesley</td>\n",
       "      <td>M4Y</td>\n",
       "      <td>43.665860</td>\n",
       "      <td>-79.383160</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>M5A</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Harbourfront, Regent Park</td>\n",
       "      <td>M5A</td>\n",
       "      <td>43.654260</td>\n",
       "      <td>-79.360636</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>M5B</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Ryerson, Garden District</td>\n",
       "      <td>M5B</td>\n",
       "      <td>43.657162</td>\n",
       "      <td>-79.378937</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>M5C</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>St. James Town</td>\n",
       "      <td>M5C</td>\n",
       "      <td>43.651494</td>\n",
       "      <td>-79.375418</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>M5E</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Berczy Park</td>\n",
       "      <td>M5E</td>\n",
       "      <td>43.644771</td>\n",
       "      <td>-79.373306</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>M5G</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Central Bay Street</td>\n",
       "      <td>M5G</td>\n",
       "      <td>43.657952</td>\n",
       "      <td>-79.387383</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>M5H</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Adelaide, King, Richmond</td>\n",
       "      <td>M5H</td>\n",
       "      <td>43.650571</td>\n",
       "      <td>-79.384568</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>M5J</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Harbourfront East, Toronto Islands, Union Station</td>\n",
       "      <td>M5J</td>\n",
       "      <td>43.640816</td>\n",
       "      <td>-79.381752</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>M5K</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Design Exchange, Toronto Dominion Centre</td>\n",
       "      <td>M5K</td>\n",
       "      <td>43.647177</td>\n",
       "      <td>-79.381576</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>M5L</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Commerce Court, Victoria Hotel</td>\n",
       "      <td>M5L</td>\n",
       "      <td>43.648198</td>\n",
       "      <td>-79.379817</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>M5N</td>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>Roselawn</td>\n",
       "      <td>M5N</td>\n",
       "      <td>43.711695</td>\n",
       "      <td>-79.416936</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>M5P</td>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>Forest Hill North, Forest Hill West</td>\n",
       "      <td>M5P</td>\n",
       "      <td>43.696948</td>\n",
       "      <td>-79.411307</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>M5R</td>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>The Annex, North Midtown, Yorkville</td>\n",
       "      <td>M5R</td>\n",
       "      <td>43.672710</td>\n",
       "      <td>-79.405678</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>M5S</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Harbord, University of Toronto</td>\n",
       "      <td>M5S</td>\n",
       "      <td>43.662696</td>\n",
       "      <td>-79.400049</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>M5T</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Chinatown, Grange Park, Kensington Market</td>\n",
       "      <td>M5T</td>\n",
       "      <td>43.653206</td>\n",
       "      <td>-79.400049</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>M5V</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>CN Tower, Bathurst Quay, Island airport, Harbo...</td>\n",
       "      <td>M5V</td>\n",
       "      <td>43.628947</td>\n",
       "      <td>-79.394420</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>M5W</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Stn A PO Boxes 25 The Esplanade</td>\n",
       "      <td>M5W</td>\n",
       "      <td>43.646435</td>\n",
       "      <td>-79.374846</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>M5X</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>First Canadian Place, Underground city</td>\n",
       "      <td>M5X</td>\n",
       "      <td>43.648429</td>\n",
       "      <td>-79.382280</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>M6G</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Christie</td>\n",
       "      <td>M6G</td>\n",
       "      <td>43.669542</td>\n",
       "      <td>-79.422564</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>M6H</td>\n",
       "      <td>West Toronto</td>\n",
       "      <td>Dovercourt Village, Dufferin</td>\n",
       "      <td>M6H</td>\n",
       "      <td>43.669005</td>\n",
       "      <td>-79.442259</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>M6J</td>\n",
       "      <td>West Toronto</td>\n",
       "      <td>Little Portugal, Trinity</td>\n",
       "      <td>M6J</td>\n",
       "      <td>43.647927</td>\n",
       "      <td>-79.419750</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>M6K</td>\n",
       "      <td>West Toronto</td>\n",
       "      <td>Brockton, Exhibition Place, Parkdale Village</td>\n",
       "      <td>M6K</td>\n",
       "      <td>43.636847</td>\n",
       "      <td>-79.428191</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>M6P</td>\n",
       "      <td>West Toronto</td>\n",
       "      <td>High Park, The Junction South</td>\n",
       "      <td>M6P</td>\n",
       "      <td>43.661608</td>\n",
       "      <td>-79.464763</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>M6R</td>\n",
       "      <td>West Toronto</td>\n",
       "      <td>Parkdale, Roncesvalles</td>\n",
       "      <td>M6R</td>\n",
       "      <td>43.648960</td>\n",
       "      <td>-79.456325</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>M6S</td>\n",
       "      <td>West Toronto</td>\n",
       "      <td>Runnymede, Swansea</td>\n",
       "      <td>M6S</td>\n",
       "      <td>43.651571</td>\n",
       "      <td>-79.484450</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>M7Y</td>\n",
       "      <td>East Toronto</td>\n",
       "      <td>Business reply mail Processing Centre969 Eastern</td>\n",
       "      <td>M7Y</td>\n",
       "      <td>43.662744</td>\n",
       "      <td>-79.321558</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Postcode           Borough  \\\n",
       "0       M4E      East Toronto   \n",
       "1       M4K      East Toronto   \n",
       "2       M4L      East Toronto   \n",
       "3       M4M      East Toronto   \n",
       "4       M4N   Central Toronto   \n",
       "5       M4P   Central Toronto   \n",
       "6       M4R   Central Toronto   \n",
       "7       M4S   Central Toronto   \n",
       "8       M4T   Central Toronto   \n",
       "9       M4V   Central Toronto   \n",
       "10      M4W  Downtown Toronto   \n",
       "11      M4X  Downtown Toronto   \n",
       "12      M4Y  Downtown Toronto   \n",
       "13      M5A  Downtown Toronto   \n",
       "14      M5B  Downtown Toronto   \n",
       "15      M5C  Downtown Toronto   \n",
       "16      M5E  Downtown Toronto   \n",
       "17      M5G  Downtown Toronto   \n",
       "18      M5H  Downtown Toronto   \n",
       "19      M5J  Downtown Toronto   \n",
       "20      M5K  Downtown Toronto   \n",
       "21      M5L  Downtown Toronto   \n",
       "22      M5N   Central Toronto   \n",
       "23      M5P   Central Toronto   \n",
       "24      M5R   Central Toronto   \n",
       "25      M5S  Downtown Toronto   \n",
       "26      M5T  Downtown Toronto   \n",
       "27      M5V  Downtown Toronto   \n",
       "28      M5W  Downtown Toronto   \n",
       "29      M5X  Downtown Toronto   \n",
       "30      M6G  Downtown Toronto   \n",
       "31      M6H      West Toronto   \n",
       "32      M6J      West Toronto   \n",
       "33      M6K      West Toronto   \n",
       "34      M6P      West Toronto   \n",
       "35      M6R      West Toronto   \n",
       "36      M6S      West Toronto   \n",
       "37      M7Y      East Toronto   \n",
       "\n",
       "                                        Neighbourhood Postal Code   Latitude  \\\n",
       "0                                         The Beaches         M4E  43.676357   \n",
       "1                        The Danforth West, Riverdale         M4K  43.679557   \n",
       "2                      The Beaches West, India Bazaar         M4L  43.668999   \n",
       "3                                     Studio District         M4M  43.659526   \n",
       "4                                       Lawrence Park         M4N  43.728020   \n",
       "5                                    Davisville North         M4P  43.712751   \n",
       "6                                  North Toronto West         M4R  43.715383   \n",
       "7                                          Davisville         M4S  43.704324   \n",
       "8                         Moore Park, Summerhill East         M4T  43.689574   \n",
       "9   Deer Park, Forest Hill SE, Rathnelly, South Hi...         M4V  43.686412   \n",
       "10                                           Rosedale         M4W  43.679563   \n",
       "11                        Cabbagetown, St. James Town         M4X  43.667967   \n",
       "12                               Church and Wellesley         M4Y  43.665860   \n",
       "13                          Harbourfront, Regent Park         M5A  43.654260   \n",
       "14                           Ryerson, Garden District         M5B  43.657162   \n",
       "15                                     St. James Town         M5C  43.651494   \n",
       "16                                        Berczy Park         M5E  43.644771   \n",
       "17                                 Central Bay Street         M5G  43.657952   \n",
       "18                           Adelaide, King, Richmond         M5H  43.650571   \n",
       "19  Harbourfront East, Toronto Islands, Union Station         M5J  43.640816   \n",
       "20           Design Exchange, Toronto Dominion Centre         M5K  43.647177   \n",
       "21                     Commerce Court, Victoria Hotel         M5L  43.648198   \n",
       "22                                           Roselawn         M5N  43.711695   \n",
       "23                Forest Hill North, Forest Hill West         M5P  43.696948   \n",
       "24                The Annex, North Midtown, Yorkville         M5R  43.672710   \n",
       "25                     Harbord, University of Toronto         M5S  43.662696   \n",
       "26          Chinatown, Grange Park, Kensington Market         M5T  43.653206   \n",
       "27  CN Tower, Bathurst Quay, Island airport, Harbo...         M5V  43.628947   \n",
       "28                    Stn A PO Boxes 25 The Esplanade         M5W  43.646435   \n",
       "29             First Canadian Place, Underground city         M5X  43.648429   \n",
       "30                                           Christie         M6G  43.669542   \n",
       "31                       Dovercourt Village, Dufferin         M6H  43.669005   \n",
       "32                           Little Portugal, Trinity         M6J  43.647927   \n",
       "33       Brockton, Exhibition Place, Parkdale Village         M6K  43.636847   \n",
       "34                      High Park, The Junction South         M6P  43.661608   \n",
       "35                             Parkdale, Roncesvalles         M6R  43.648960   \n",
       "36                                 Runnymede, Swansea         M6S  43.651571   \n",
       "37   Business reply mail Processing Centre969 Eastern         M7Y  43.662744   \n",
       "\n",
       "    Longitude  \n",
       "0  -79.293031  \n",
       "1  -79.352188  \n",
       "2  -79.315572  \n",
       "3  -79.340923  \n",
       "4  -79.388790  \n",
       "5  -79.390197  \n",
       "6  -79.405678  \n",
       "7  -79.388790  \n",
       "8  -79.383160  \n",
       "9  -79.400049  \n",
       "10 -79.377529  \n",
       "11 -79.367675  \n",
       "12 -79.383160  \n",
       "13 -79.360636  \n",
       "14 -79.378937  \n",
       "15 -79.375418  \n",
       "16 -79.373306  \n",
       "17 -79.387383  \n",
       "18 -79.384568  \n",
       "19 -79.381752  \n",
       "20 -79.381576  \n",
       "21 -79.379817  \n",
       "22 -79.416936  \n",
       "23 -79.411307  \n",
       "24 -79.405678  \n",
       "25 -79.400049  \n",
       "26 -79.400049  \n",
       "27 -79.394420  \n",
       "28 -79.374846  \n",
       "29 -79.382280  \n",
       "30 -79.422564  \n",
       "31 -79.442259  \n",
       "32 -79.419750  \n",
       "33 -79.428191  \n",
       "34 -79.464763  \n",
       "35 -79.456325  \n",
       "36 -79.484450  \n",
       "37 -79.321558  "
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "finalDF[finalDF['Borough'].str.contains('ronto')].reset_index(drop=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/jupyterlab/conda/lib/python3.6/site-packages/geopy/geocoders/osm.py:143: UserWarning: Using Nominatim with the default \"geopy/1.17.0\" `user_agent` is strongly discouraged, as it violates Nominatim's ToS https://operations.osmfoundation.org/policies/nominatim/ and may possibly cause 403 and 429 HTTP errors. Please specify a custom `user_agent` with `Nominatim(user_agent=\"my-application\")` or by overriding the default `user_agent`: `geopy.geocoders.options.default_user_agent = \"my-application\"`. In geopy 2.0 this will become an exception.\n",
      "  UserWarning\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The geograpical coordinate of Manhattan are 43.653963, -79.387207.\n"
     ]
    }
   ],
   "source": [
    "address = 'Toronto'\n",
    "\n",
    "geolocator = Nominatim()\n",
    "location = geolocator.geocode(address)\n",
    "latitude = location.latitude\n",
    "longitude = location.longitude\n",
    "print('The geograpical coordinate of Manhattan are {}, {}.'.format(latitude, longitude))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Your credentails:\n",
      "CLIENT_ID: RFVDSYOWWO2LFEB0Q4T3EYEPU2HFGSIYE35LMXNXIZT0H302\n",
      "CLIENT_SECRET:E5BWKVHOKS4QCACDRQLAFVWRHUB0T3U5NGZXFF0MRB2HF13T\n"
     ]
    }
   ],
   "source": [
    "CLIENT_ID = 'RFVDSYOWWO2LFEB0Q4T3EYEPU2HFGSIYE35LMXNXIZT0H302' # your Foursquare ID\n",
    "CLIENT_SECRET = 'E5BWKVHOKS4QCACDRQLAFVWRHUB0T3U5NGZXFF0MRB2HF13T' # your Foursquare Secret\n",
    "VERSION = '20180605' # Foursquare API version\n",
    "\n",
    "print('Your credentails:')\n",
    "print('CLIENT_ID: ' + CLIENT_ID)\n",
    "print('CLIENT_SECRET:' + CLIENT_SECRET)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "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": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "def getNearbyVenues(names, latitudes, longitudes, radius=500):\n",
    "    LIMIT = 100\n",
    "    venues_list=[]\n",
    "    for name, lat, lng in zip(names, latitudes, longitudes):\n",
    "        print(name)\n",
    "            \n",
    "        # create the API request URL\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",
    "            lat, \n",
    "            lng, \n",
    "            radius, \n",
    "            LIMIT)\n",
    "            \n",
    "        # make the GET request\n",
    "        results = req.get(url).json()[\"response\"]['groups'][0]['items']\n",
    "        \n",
    "        # return only relevant information for each nearby venue\n",
    "        venues_list.append([(\n",
    "            name, \n",
    "            lat, \n",
    "            lng, \n",
    "            v['venue']['name'], \n",
    "            v['venue']['location']['lat'], \n",
    "            v['venue']['location']['lng'],  \n",
    "            v['venue']['categories'][0]['name']) for v in results])\n",
    "\n",
    "    nearby_venues = pd.DataFrame([item for venue_list in venues_list for item in venue_list])\n",
    "    nearby_venues.columns = ['Neighborhood', \n",
    "                  'Neighborhood Latitude', \n",
    "                  'Neighborhood Longitude', \n",
    "                  'Venue', \n",
    "                  'Venue Latitude', \n",
    "                  'Venue Longitude', \n",
    "                  'Venue Category']\n",
    "    \n",
    "    return(nearby_venues)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The Beaches\n",
      "The Danforth West, Riverdale\n",
      "The Beaches West, India Bazaar\n",
      "Studio District\n",
      "Lawrence Park\n",
      "Davisville North\n",
      "North Toronto West\n",
      "Davisville\n",
      "Moore Park, Summerhill East\n",
      "Deer Park, Forest Hill SE, Rathnelly, South Hill, Summerhill West\n",
      "Rosedale\n",
      "Cabbagetown, St. James Town\n",
      "Church and Wellesley\n",
      "Harbourfront, Regent Park\n",
      "Ryerson, Garden District\n",
      "St. James Town\n",
      "Berczy Park\n",
      "Central Bay Street\n",
      "Adelaide, King, Richmond\n",
      "Harbourfront East, Toronto Islands, Union Station\n",
      "Design Exchange, Toronto Dominion Centre\n",
      "Commerce Court, Victoria Hotel\n",
      "Roselawn\n",
      "Forest Hill North, Forest Hill West\n",
      "The Annex, North Midtown, Yorkville\n",
      "Harbord, University of Toronto\n",
      "Chinatown, Grange Park, Kensington Market\n",
      "CN Tower, Bathurst Quay, Island airport, Harbourfront West, King and Spadina, Railway Lands, South Niagara\n",
      "Stn A PO Boxes 25 The Esplanade\n",
      "First Canadian Place, Underground city\n",
      "Christie\n",
      "Dovercourt Village, Dufferin\n",
      "Little Portugal, Trinity\n",
      "Brockton, Exhibition Place, Parkdale Village\n",
      "High Park, The Junction South\n",
      "Parkdale, Roncesvalles\n",
      "Runnymede, Swansea\n",
      "Business reply mail Processing Centre969 Eastern\n"
     ]
    }
   ],
   "source": [
    "# type your answer here\n",
    "toronto_venues = getNearbyVenues(names=final_data['Neighbourhood'],latitudes=final_data['Latitude'],longitudes=final_data['Longitude'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "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>Yoga Studio</th>\n",
       "      <th>Adult Boutique</th>\n",
       "      <th>Afghan Restaurant</th>\n",
       "      <th>Airport</th>\n",
       "      <th>Airport Food Court</th>\n",
       "      <th>Airport Gate</th>\n",
       "      <th>Airport Lounge</th>\n",
       "      <th>Airport Service</th>\n",
       "      <th>Airport Terminal</th>\n",
       "      <th>American Restaurant</th>\n",
       "      <th>...</th>\n",
       "      <th>Trail</th>\n",
       "      <th>Train Station</th>\n",
       "      <th>Vegetarian / Vegan Restaurant</th>\n",
       "      <th>Video Game Store</th>\n",
       "      <th>Vietnamese Restaurant</th>\n",
       "      <th>Whisky Bar</th>\n",
       "      <th>Wine Bar</th>\n",
       "      <th>Wine Shop</th>\n",
       "      <th>Wings Joint</th>\n",
       "      <th>Women's Store</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 235 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   Yoga Studio  Adult Boutique  Afghan Restaurant  Airport  \\\n",
       "0            0               0                  0        0   \n",
       "1            0               0                  0        0   \n",
       "2            0               0                  0        0   \n",
       "3            0               0                  0        0   \n",
       "4            0               0                  0        0   \n",
       "\n",
       "   Airport Food Court  Airport Gate  Airport Lounge  Airport Service  \\\n",
       "0                   0             0               0                0   \n",
       "1                   0             0               0                0   \n",
       "2                   0             0               0                0   \n",
       "3                   0             0               0                0   \n",
       "4                   0             0               0                0   \n",
       "\n",
       "   Airport Terminal  American Restaurant      ...        Trail  Train Station  \\\n",
       "0                 0                    0      ...            0              0   \n",
       "1                 0                    0      ...            0              0   \n",
       "2                 0                    0      ...            0              0   \n",
       "3                 0                    0      ...            0              0   \n",
       "4                 0                    0      ...            0              0   \n",
       "\n",
       "   Vegetarian / Vegan Restaurant  Video Game Store  Vietnamese Restaurant  \\\n",
       "0                              0                 0                      0   \n",
       "1                              0                 0                      0   \n",
       "2                              0                 0                      0   \n",
       "3                              0                 0                      0   \n",
       "4                              0                 0                      0   \n",
       "\n",
       "   Whisky Bar  Wine Bar  Wine Shop  Wings Joint  Women's Store  \n",
       "0           0         0          0            0              0  \n",
       "1           0         0          0            0              0  \n",
       "2           0         0          0            0              0  \n",
       "3           0         0          0            0              0  \n",
       "4           0         0          0            0              0  \n",
       "\n",
       "[5 rows x 235 columns]"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# one hot encoding\n",
    "toronto_onehot = pd.get_dummies(toronto_venues[['Venue Category']], prefix=\"\", prefix_sep=\"\")\n",
    "\n",
    "# add neighborhood column back to dataframe\n",
    "toronto_onehot['Neighborhood'] = toronto_venues['Neighborhood'] \n",
    "\n",
    "# move neighborhood column to the first column\n",
    "fixed_columns = [toronto_onehot.columns[-1]] + list(toronto_onehot.columns[:-1])\n",
    "toronto_onehot = toronto_onehot[fixed_columns]\n",
    "\n",
    "toronto_onehot.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "def return_most_common_venues(row, num_top_venues):\n",
    "    row_categories = row.iloc[1:]\n",
    "    row_categories_sorted = row_categories.sort_values(ascending=False)\n",
    "    \n",
    "    return row_categories_sorted.index.values[0:num_top_venues]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "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>Neighborhood</th>\n",
       "      <th>1st Most Common Venue</th>\n",
       "      <th>2nd Most Common Venue</th>\n",
       "      <th>3rd Most Common Venue</th>\n",
       "      <th>4th Most Common Venue</th>\n",
       "      <th>5th Most Common Venue</th>\n",
       "      <th>6th Most Common Venue</th>\n",
       "      <th>7th Most Common Venue</th>\n",
       "      <th>8th Most Common Venue</th>\n",
       "      <th>9th Most Common Venue</th>\n",
       "      <th>10th Most Common Venue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Adelaide, King, Richmond</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Steakhouse</td>\n",
       "      <td>Thai Restaurant</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Asian Restaurant</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Clothing Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Berczy Park</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Cocktail Bar</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Cheese Shop</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "      <td>Farmers Market</td>\n",
       "      <td>Steakhouse</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Beer Bar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Brockton, Exhibition Place, Parkdale Village</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Falafel Restaurant</td>\n",
       "      <td>Performing Arts Venue</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Pet Store</td>\n",
       "      <td>Convenience Store</td>\n",
       "      <td>Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Business reply mail Processing Centre969 Eastern</td>\n",
       "      <td>Light Rail Station</td>\n",
       "      <td>Farmers Market</td>\n",
       "      <td>Auto Workshop</td>\n",
       "      <td>Comic Shop</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Recording Studio</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Burrito Place</td>\n",
       "      <td>Brewery</td>\n",
       "      <td>Skate Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>CN Tower, Bathurst Quay, Island airport, Harbo...</td>\n",
       "      <td>Airport Lounge</td>\n",
       "      <td>Airport Service</td>\n",
       "      <td>Airport Terminal</td>\n",
       "      <td>Boutique</td>\n",
       "      <td>Harbor / Marina</td>\n",
       "      <td>Airport</td>\n",
       "      <td>Airport Food Court</td>\n",
       "      <td>Airport Gate</td>\n",
       "      <td>Boat or Ferry</td>\n",
       "      <td>Sculpture Garden</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Cabbagetown, St. James Town</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Indian Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Farmers Market</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Central Bay Street</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Bubble Tea Shop</td>\n",
       "      <td>Ice Cream Shop</td>\n",
       "      <td>Burger Joint</td>\n",
       "      <td>Thai Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Chinatown, Grange Park, Kensington Market</td>\n",
       "      <td>Café</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Vegetarian / Vegan Restaurant</td>\n",
       "      <td>Vietnamese Restaurant</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Dumpling Restaurant</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "      <td>Gaming Cafe</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Christie</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Café</td>\n",
       "      <td>Park</td>\n",
       "      <td>Convenience Store</td>\n",
       "      <td>Nightclub</td>\n",
       "      <td>Baby Store</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Athletics &amp; Sports</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Church and Wellesley</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Gay Bar</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Burger Joint</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Mediterranean Restaurant</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Café</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Commerce Court, Victoria Hotel</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Steakhouse</td>\n",
       "      <td>Gastropub</td>\n",
       "      <td>Deli / Bodega</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Davisville</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Indian Restaurant</td>\n",
       "      <td>Farmers Market</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Davisville North</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Food &amp; Drink Shop</td>\n",
       "      <td>Gym / Fitness Center</td>\n",
       "      <td>Park</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Burger Joint</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "      <td>Donut Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Deer Park, Forest Hill SE, Rathnelly, South Hi...</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Light Rail Station</td>\n",
       "      <td>Sports Bar</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Fried Chicken Joint</td>\n",
       "      <td>Bagel Shop</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Vietnamese Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Design Exchange, Toronto Dominion Centre</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Gastropub</td>\n",
       "      <td>Deli / Bodega</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Dovercourt Village, Dufferin</td>\n",
       "      <td>Pharmacy</td>\n",
       "      <td>Supermarket</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Furniture / Home Store</td>\n",
       "      <td>Liquor Store</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Middle Eastern Restaurant</td>\n",
       "      <td>Music Venue</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>First Canadian Place, Underground city</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Steakhouse</td>\n",
       "      <td>Gastropub</td>\n",
       "      <td>Deli / Bodega</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "      <td>Asian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Forest Hill North, Forest Hill West</td>\n",
       "      <td>Park</td>\n",
       "      <td>Trail</td>\n",
       "      <td>Jewelry Store</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Women's Store</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Farmers Market</td>\n",
       "      <td>Falafel Restaurant</td>\n",
       "      <td>Event Space</td>\n",
       "      <td>Ethiopian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Harbord, University of Toronto</td>\n",
       "      <td>Café</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Bookstore</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Beer Bar</td>\n",
       "      <td>Beer Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Harbourfront East, Toronto Islands, Union Station</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Aquarium</td>\n",
       "      <td>Café</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Brewery</td>\n",
       "      <td>Scenic Lookout</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>History Museum</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Harbourfront, Regent Park</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Park</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Theater</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Electronics Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>High Park, The Junction South</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Park</td>\n",
       "      <td>Arts &amp; Crafts Store</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Bookstore</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Flea Market</td>\n",
       "      <td>Speakeasy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Lawrence Park</td>\n",
       "      <td>Bus Line</td>\n",
       "      <td>Lake</td>\n",
       "      <td>Dim Sum Restaurant</td>\n",
       "      <td>Park</td>\n",
       "      <td>Swim School</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "      <td>Donut Shop</td>\n",
       "      <td>Dumpling Restaurant</td>\n",
       "      <td>Women's Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Little Portugal, Trinity</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Café</td>\n",
       "      <td>Men's Store</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Boutique</td>\n",
       "      <td>Asian Restaurant</td>\n",
       "      <td>Cocktail Bar</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Bakery</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Moore Park, Summerhill East</td>\n",
       "      <td>Park</td>\n",
       "      <td>Trail</td>\n",
       "      <td>Intersection</td>\n",
       "      <td>Women's Store</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Farmers Market</td>\n",
       "      <td>Falafel Restaurant</td>\n",
       "      <td>Event Space</td>\n",
       "      <td>Ethiopian Restaurant</td>\n",
       "      <td>Electronics Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>North Toronto West</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Sporting Goods Shop</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Shoe Store</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Salon / Barbershop</td>\n",
       "      <td>Rental Car Location</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Parkdale, Roncesvalles</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Gift Shop</td>\n",
       "      <td>Bookstore</td>\n",
       "      <td>Eastern European Restaurant</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Burger Joint</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Bar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Rosedale</td>\n",
       "      <td>Park</td>\n",
       "      <td>Playground</td>\n",
       "      <td>Trail</td>\n",
       "      <td>Women's Store</td>\n",
       "      <td>Dim Sum Restaurant</td>\n",
       "      <td>Falafel Restaurant</td>\n",
       "      <td>Event Space</td>\n",
       "      <td>Ethiopian Restaurant</td>\n",
       "      <td>Electronics Store</td>\n",
       "      <td>Eastern European Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Roselawn</td>\n",
       "      <td>Garden</td>\n",
       "      <td>Women's Store</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Farmers Market</td>\n",
       "      <td>Falafel Restaurant</td>\n",
       "      <td>Event Space</td>\n",
       "      <td>Ethiopian Restaurant</td>\n",
       "      <td>Electronics Store</td>\n",
       "      <td>Eastern European Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Runnymede, Swansea</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Café</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Baby Store</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Food</td>\n",
       "      <td>Bar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>Ryerson, Garden District</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Cosmetics Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Middle Eastern Restaurant</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Tea Room</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Bubble Tea Shop</td>\n",
       "      <td>Diner</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>St. James Town</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Park</td>\n",
       "      <td>Gastropub</td>\n",
       "      <td>Cocktail Bar</td>\n",
       "      <td>Cosmetics Shop</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>Stn A PO Boxes 25 The Esplanade</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Cocktail Bar</td>\n",
       "      <td>Cheese Shop</td>\n",
       "      <td>Art Gallery</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>Studio District</td>\n",
       "      <td>Café</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Gastropub</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "      <td>Fish Market</td>\n",
       "      <td>Latin American Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>The Annex, North Midtown, Yorkville</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Café</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Burger Joint</td>\n",
       "      <td>Liquor Store</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Jewish Restaurant</td>\n",
       "      <td>Pharmacy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>The Beaches</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Women's Store</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Farmers Market</td>\n",
       "      <td>Falafel Restaurant</td>\n",
       "      <td>Event Space</td>\n",
       "      <td>Ethiopian Restaurant</td>\n",
       "      <td>Electronics Store</td>\n",
       "      <td>Eastern European Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>The Beaches West, India Bazaar</td>\n",
       "      <td>Park</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Brewery</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Burger Joint</td>\n",
       "      <td>Burrito Place</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Pet Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>The Danforth West, Riverdale</td>\n",
       "      <td>Greek Restaurant</td>\n",
       "      <td>Ice Cream Shop</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Bookstore</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Furniture / Home Store</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Spa</td>\n",
       "      <td>Juice Bar</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                         Neighborhood 1st Most Common Venue  \\\n",
       "0                            Adelaide, King, Richmond           Coffee Shop   \n",
       "1                                         Berczy Park           Coffee Shop   \n",
       "2        Brockton, Exhibition Place, Parkdale Village           Coffee Shop   \n",
       "3    Business reply mail Processing Centre969 Eastern    Light Rail Station   \n",
       "4   CN Tower, Bathurst Quay, Island airport, Harbo...        Airport Lounge   \n",
       "5                         Cabbagetown, St. James Town            Restaurant   \n",
       "6                                  Central Bay Street           Coffee Shop   \n",
       "7           Chinatown, Grange Park, Kensington Market                  Café   \n",
       "8                                            Christie         Grocery Store   \n",
       "9                                Church and Wellesley           Coffee Shop   \n",
       "10                     Commerce Court, Victoria Hotel           Coffee Shop   \n",
       "11                                         Davisville        Sandwich Place   \n",
       "12                                   Davisville North        Clothing Store   \n",
       "13  Deer Park, Forest Hill SE, Rathnelly, South Hi...           Coffee Shop   \n",
       "14           Design Exchange, Toronto Dominion Centre           Coffee Shop   \n",
       "15                       Dovercourt Village, Dufferin              Pharmacy   \n",
       "16             First Canadian Place, Underground city           Coffee Shop   \n",
       "17                Forest Hill North, Forest Hill West                  Park   \n",
       "18                     Harbord, University of Toronto                  Café   \n",
       "19  Harbourfront East, Toronto Islands, Union Station           Coffee Shop   \n",
       "20                          Harbourfront, Regent Park           Coffee Shop   \n",
       "21                      High Park, The Junction South    Mexican Restaurant   \n",
       "22                                      Lawrence Park              Bus Line   \n",
       "23                           Little Portugal, Trinity                   Bar   \n",
       "24                        Moore Park, Summerhill East                  Park   \n",
       "25                                 North Toronto West        Clothing Store   \n",
       "26                             Parkdale, Roncesvalles        Breakfast Spot   \n",
       "27                                           Rosedale                  Park   \n",
       "28                                           Roselawn                Garden   \n",
       "29                                 Runnymede, Swansea           Coffee Shop   \n",
       "30                           Ryerson, Garden District           Coffee Shop   \n",
       "31                                     St. James Town           Coffee Shop   \n",
       "32                    Stn A PO Boxes 25 The Esplanade           Coffee Shop   \n",
       "33                                    Studio District                  Café   \n",
       "34                The Annex, North Midtown, Yorkville           Coffee Shop   \n",
       "35                                        The Beaches           Coffee Shop   \n",
       "36                     The Beaches West, India Bazaar                  Park   \n",
       "37                       The Danforth West, Riverdale      Greek Restaurant   \n",
       "\n",
       "   2nd Most Common Venue          3rd Most Common Venue  \\\n",
       "0                   Café            American Restaurant   \n",
       "1           Cocktail Bar                     Restaurant   \n",
       "2                   Café                 Breakfast Spot   \n",
       "3         Farmers Market                  Auto Workshop   \n",
       "4        Airport Service               Airport Terminal   \n",
       "5            Coffee Shop                            Pub   \n",
       "6     Italian Restaurant            Japanese Restaurant   \n",
       "7                    Bar  Vegetarian / Vegan Restaurant   \n",
       "8                   Café                           Park   \n",
       "9    Japanese Restaurant                        Gay Bar   \n",
       "10                  Café                          Hotel   \n",
       "11          Dessert Shop                    Pizza Place   \n",
       "12     Food & Drink Shop           Gym / Fitness Center   \n",
       "13                   Pub             Light Rail Station   \n",
       "14                  Café                          Hotel   \n",
       "15           Supermarket                 Discount Store   \n",
       "16                  Café                          Hotel   \n",
       "17                 Trail                  Jewelry Store   \n",
       "18            Restaurant            Japanese Restaurant   \n",
       "19                 Hotel                       Aquarium   \n",
       "20                  Café                            Pub   \n",
       "21                  Café                            Bar   \n",
       "22                  Lake             Dim Sum Restaurant   \n",
       "23                  Café                    Men's Store   \n",
       "24                 Trail                   Intersection   \n",
       "25   Sporting Goods Shop                    Coffee Shop   \n",
       "26             Gift Shop                      Bookstore   \n",
       "27            Playground                          Trail   \n",
       "28         Women's Store                 Discount Store   \n",
       "29           Pizza Place                           Café   \n",
       "30        Clothing Store                 Cosmetics Shop   \n",
       "31                  Café                     Restaurant   \n",
       "32                  Café                     Restaurant   \n",
       "33           Coffee Shop                         Bakery   \n",
       "34        Sandwich Place                           Café   \n",
       "35                   Pub                  Women's Store   \n",
       "36      Sushi Restaurant                        Brewery   \n",
       "37        Ice Cream Shop                    Coffee Shop   \n",
       "\n",
       "          4th Most Common Venue      5th Most Common Venue  \\\n",
       "0                    Steakhouse            Thai Restaurant   \n",
       "1                          Café                Cheese Shop   \n",
       "2                 Grocery Store         Falafel Restaurant   \n",
       "3                    Comic Shop                Pizza Place   \n",
       "4                      Boutique            Harbor / Marina   \n",
       "5            Chinese Restaurant                Pizza Place   \n",
       "6            Chinese Restaurant                       Café   \n",
       "7         Vietnamese Restaurant                     Bakery   \n",
       "8             Convenience Store                  Nightclub   \n",
       "9              Sushi Restaurant               Burger Joint   \n",
       "10                   Restaurant        American Restaurant   \n",
       "11           Seafood Restaurant                Coffee Shop   \n",
       "12                         Park             Sandwich Place   \n",
       "13                   Sports Bar           Sushi Restaurant   \n",
       "14                   Restaurant        American Restaurant   \n",
       "15                       Bakery     Furniture / Home Store   \n",
       "16                   Restaurant        American Restaurant   \n",
       "17             Sushi Restaurant              Women's Store   \n",
       "18                       Bakery                        Bar   \n",
       "19                         Café                Pizza Place   \n",
       "20                         Park                     Bakery   \n",
       "21                         Park        Arts & Crafts Store   \n",
       "22                         Park                Swim School   \n",
       "23                  Coffee Shop                 Restaurant   \n",
       "24                Women's Store                      Diner   \n",
       "25                  Yoga Studio                 Shoe Store   \n",
       "26  Eastern European Restaurant                 Restaurant   \n",
       "27                Women's Store         Dim Sum Restaurant   \n",
       "28         Fast Food Restaurant             Farmers Market   \n",
       "29             Sushi Restaurant         Italian Restaurant   \n",
       "30                         Café  Middle Eastern Restaurant   \n",
       "31                        Hotel                       Park   \n",
       "32           Seafood Restaurant                      Hotel   \n",
       "33           Italian Restaurant        American Restaurant   \n",
       "34                  Pizza Place                        Pub   \n",
       "35                        Diner             Farmers Market   \n",
       "36               Sandwich Place               Burger Joint   \n",
       "37           Italian Restaurant                  Bookstore   \n",
       "\n",
       "    6th Most Common Venue     7th Most Common Venue  \\\n",
       "0                     Bar          Asian Restaurant   \n",
       "1      Seafood Restaurant            Farmers Market   \n",
       "2   Performing Arts Venue                    Bakery   \n",
       "3        Recording Studio                Restaurant   \n",
       "4                 Airport        Airport Food Court   \n",
       "5                  Bakery        Italian Restaurant   \n",
       "6                     Bar           Bubble Tea Shop   \n",
       "7      Mexican Restaurant               Coffee Shop   \n",
       "8              Baby Store                Restaurant   \n",
       "9              Restaurant  Mediterranean Restaurant   \n",
       "10             Steakhouse                 Gastropub   \n",
       "11                   Café        Italian Restaurant   \n",
       "12           Burger Joint                     Hotel   \n",
       "13    Fried Chicken Joint                Bagel Shop   \n",
       "14     Italian Restaurant                 Gastropub   \n",
       "15           Liquor Store      Fast Food Restaurant   \n",
       "16             Steakhouse                 Gastropub   \n",
       "17         Discount Store            Farmers Market   \n",
       "18            Coffee Shop                 Bookstore   \n",
       "19     Italian Restaurant                   Brewery   \n",
       "20         Breakfast Spot                   Theater   \n",
       "21         Sandwich Place                 Bookstore   \n",
       "22                Dog Run          Doner Restaurant   \n",
       "23               Boutique          Asian Restaurant   \n",
       "24         Farmers Market        Falafel Restaurant   \n",
       "25         Sandwich Place        Salon / Barbershop   \n",
       "26                Dog Run        Italian Restaurant   \n",
       "27     Falafel Restaurant               Event Space   \n",
       "28     Falafel Restaurant               Event Space   \n",
       "29                    Pub                Baby Store   \n",
       "30    Japanese Restaurant                  Tea Room   \n",
       "31              Gastropub              Cocktail Bar   \n",
       "32           Cocktail Bar               Cheese Shop   \n",
       "33              Gastropub               Yoga Studio   \n",
       "34           Burger Joint              Liquor Store   \n",
       "35     Falafel Restaurant               Event Space   \n",
       "36          Burrito Place                       Pub   \n",
       "37            Yoga Studio    Furniture / Home Store   \n",
       "\n",
       "        8th Most Common Venue 9th Most Common Venue  \\\n",
       "0                  Restaurant                 Hotel   \n",
       "1                  Steakhouse                Bakery   \n",
       "2                   Pet Store     Convenience Store   \n",
       "3               Burrito Place               Brewery   \n",
       "4                Airport Gate         Boat or Ferry   \n",
       "5           Indian Restaurant                  Café   \n",
       "6              Ice Cream Shop          Burger Joint   \n",
       "7         Dumpling Restaurant    Chinese Restaurant   \n",
       "8          Athletics & Sports                 Diner   \n",
       "9                         Pub                  Café   \n",
       "10              Deli / Bodega                   Gym   \n",
       "11           Sushi Restaurant     Indian Restaurant   \n",
       "12             Breakfast Spot      Doner Restaurant   \n",
       "13        American Restaurant           Pizza Place   \n",
       "14              Deli / Bodega                   Gym   \n",
       "15  Middle Eastern Restaurant           Music Venue   \n",
       "16              Deli / Bodega    Seafood Restaurant   \n",
       "17         Falafel Restaurant           Event Space   \n",
       "18             Sandwich Place              Beer Bar   \n",
       "19             Scenic Lookout            Restaurant   \n",
       "20         Mexican Restaurant            Restaurant   \n",
       "21       Fast Food Restaurant           Flea Market   \n",
       "22                 Donut Shop   Dumpling Restaurant   \n",
       "23               Cocktail Bar           Pizza Place   \n",
       "24                Event Space  Ethiopian Restaurant   \n",
       "25        Rental Car Location    Chinese Restaurant   \n",
       "26               Burger Joint          Dessert Shop   \n",
       "27       Ethiopian Restaurant     Electronics Store   \n",
       "28       Ethiopian Restaurant     Electronics Store   \n",
       "29                      Diner                  Food   \n",
       "30         Italian Restaurant       Bubble Tea Shop   \n",
       "31             Cosmetics Shop                Bakery   \n",
       "32                Art Gallery                Bakery   \n",
       "33         Chinese Restaurant           Fish Market   \n",
       "34        American Restaurant     Jewish Restaurant   \n",
       "35       Ethiopian Restaurant     Electronics Store   \n",
       "36                Pizza Place           Coffee Shop   \n",
       "37                     Bakery                   Spa   \n",
       "\n",
       "         10th Most Common Venue  \n",
       "0                Clothing Store  \n",
       "1                      Beer Bar  \n",
       "2                    Restaurant  \n",
       "3                    Skate Park  \n",
       "4              Sculpture Garden  \n",
       "5                Farmers Market  \n",
       "6               Thai Restaurant  \n",
       "7                   Gaming Cafe  \n",
       "8            Italian Restaurant  \n",
       "9          Fast Food Restaurant  \n",
       "10           Seafood Restaurant  \n",
       "11               Farmers Market  \n",
       "12                   Donut Shop  \n",
       "13        Vietnamese Restaurant  \n",
       "14          Japanese Restaurant  \n",
       "15                         Park  \n",
       "16             Asian Restaurant  \n",
       "17         Ethiopian Restaurant  \n",
       "18                   Beer Store  \n",
       "19               History Museum  \n",
       "20            Electronics Store  \n",
       "21                    Speakeasy  \n",
       "22                Women's Store  \n",
       "23                       Bakery  \n",
       "24            Electronics Store  \n",
       "25                         Park  \n",
       "26                          Bar  \n",
       "27  Eastern European Restaurant  \n",
       "28  Eastern European Restaurant  \n",
       "29                          Bar  \n",
       "30                        Diner  \n",
       "31           Italian Restaurant  \n",
       "32           Italian Restaurant  \n",
       "33    Latin American Restaurant  \n",
       "34                     Pharmacy  \n",
       "35  Eastern European Restaurant  \n",
       "36                    Pet Store  \n",
       "37                    Juice Bar  "
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "toronto_grouped = toronto_onehot.groupby('Neighborhood').mean().reset_index()\n",
    "\n",
    "num_top_venues = 10\n",
    "\n",
    "indicators = ['st', 'nd', 'rd']\n",
    "\n",
    "# create columns according to number of top venues\n",
    "columns = ['Neighborhood']\n",
    "for ind in np.arange(num_top_venues):\n",
    "    try:\n",
    "        columns.append('{}{} Most Common Venue'.format(ind+1, indicators[ind]))\n",
    "    except:\n",
    "        columns.append('{}th Most Common Venue'.format(ind+1))\n",
    "\n",
    "# create a new dataframe\n",
    "neighborhoods_venues_sorted = pd.DataFrame(columns=columns)\n",
    "neighborhoods_venues_sorted['Neighborhood'] = toronto_grouped['Neighborhood']\n",
    "\n",
    "for ind in np.arange(toronto_grouped.shape[0]):\n",
    "    neighborhoods_venues_sorted.iloc[ind, 1:] = return_most_common_venues(toronto_grouped.iloc[ind, :], num_top_venues)\n",
    "\n",
    "neighborhoods_venues_sorted"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0], dtype=int32)"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# set number of clusters\n",
    "kclusters = 5\n",
    "\n",
    "toronto_grouped_clustering = toronto_grouped.drop('Neighborhood', 1)\n",
    "\n",
    "# run k-means clustering\n",
    "kmeans = KMeans(n_clusters=kclusters, random_state=0).fit(toronto_grouped_clustering)\n",
    "\n",
    "# check cluster labels generated for each row in the dataframe\n",
    "kmeans.labels_[0:10] "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "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>Postcode</th>\n",
       "      <th>Borough</th>\n",
       "      <th>Neighborhood</th>\n",
       "      <th>Postal Code</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "      <th>Cluster Labels</th>\n",
       "      <th>1st Most Common Venue</th>\n",
       "      <th>2nd Most Common Venue</th>\n",
       "      <th>3rd Most Common Venue</th>\n",
       "      <th>4th Most Common Venue</th>\n",
       "      <th>5th Most Common Venue</th>\n",
       "      <th>6th Most Common Venue</th>\n",
       "      <th>7th Most Common Venue</th>\n",
       "      <th>8th Most Common Venue</th>\n",
       "      <th>9th Most Common Venue</th>\n",
       "      <th>10th Most Common Venue</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>M4E</td>\n",
       "      <td>43.676357</td>\n",
       "      <td>-79.293031</td>\n",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Women's Store</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Farmers Market</td>\n",
       "      <td>Falafel Restaurant</td>\n",
       "      <td>Event Space</td>\n",
       "      <td>Ethiopian Restaurant</td>\n",
       "      <td>Electronics Store</td>\n",
       "      <td>Eastern European Restaurant</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>M4K</td>\n",
       "      <td>43.679557</td>\n",
       "      <td>-79.352188</td>\n",
       "      <td>0</td>\n",
       "      <td>Greek Restaurant</td>\n",
       "      <td>Ice Cream Shop</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Bookstore</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Furniture / Home Store</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Spa</td>\n",
       "      <td>Juice Bar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>M4L</td>\n",
       "      <td>East Toronto</td>\n",
       "      <td>The Beaches West, India Bazaar</td>\n",
       "      <td>M4L</td>\n",
       "      <td>43.668999</td>\n",
       "      <td>-79.315572</td>\n",
       "      <td>0</td>\n",
       "      <td>Park</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Brewery</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Burger Joint</td>\n",
       "      <td>Burrito Place</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Pet Store</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>M4M</td>\n",
       "      <td>43.659526</td>\n",
       "      <td>-79.340923</td>\n",
       "      <td>0</td>\n",
       "      <td>Café</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Gastropub</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "      <td>Fish Market</td>\n",
       "      <td>Latin American Restaurant</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>M4N</td>\n",
       "      <td>43.728020</td>\n",
       "      <td>-79.388790</td>\n",
       "      <td>0</td>\n",
       "      <td>Bus Line</td>\n",
       "      <td>Lake</td>\n",
       "      <td>Dim Sum Restaurant</td>\n",
       "      <td>Park</td>\n",
       "      <td>Swim School</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "      <td>Donut Shop</td>\n",
       "      <td>Dumpling Restaurant</td>\n",
       "      <td>Women's Store</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Postcode          Borough                    Neighborhood Postal Code  \\\n",
       "0      M4E     East Toronto                     The Beaches         M4E   \n",
       "1      M4K     East Toronto    The Danforth West, Riverdale         M4K   \n",
       "2      M4L     East Toronto  The Beaches West, India Bazaar         M4L   \n",
       "3      M4M     East Toronto                 Studio District         M4M   \n",
       "4      M4N  Central Toronto                   Lawrence Park         M4N   \n",
       "\n",
       "    Latitude  Longitude  Cluster Labels 1st Most Common Venue  \\\n",
       "0  43.676357 -79.293031               0           Coffee Shop   \n",
       "1  43.679557 -79.352188               0      Greek Restaurant   \n",
       "2  43.668999 -79.315572               0                  Park   \n",
       "3  43.659526 -79.340923               0                  Café   \n",
       "4  43.728020 -79.388790               0              Bus Line   \n",
       "\n",
       "  2nd Most Common Venue 3rd Most Common Venue 4th Most Common Venue  \\\n",
       "0                   Pub         Women's Store                 Diner   \n",
       "1        Ice Cream Shop           Coffee Shop    Italian Restaurant   \n",
       "2      Sushi Restaurant               Brewery        Sandwich Place   \n",
       "3           Coffee Shop                Bakery    Italian Restaurant   \n",
       "4                  Lake    Dim Sum Restaurant                  Park   \n",
       "\n",
       "  5th Most Common Venue 6th Most Common Venue   7th Most Common Venue  \\\n",
       "0        Farmers Market    Falafel Restaurant             Event Space   \n",
       "1             Bookstore           Yoga Studio  Furniture / Home Store   \n",
       "2          Burger Joint         Burrito Place                     Pub   \n",
       "3   American Restaurant             Gastropub             Yoga Studio   \n",
       "4           Swim School               Dog Run        Doner Restaurant   \n",
       "\n",
       "  8th Most Common Venue 9th Most Common Venue       10th Most Common Venue  \n",
       "0  Ethiopian Restaurant     Electronics Store  Eastern European Restaurant  \n",
       "1                Bakery                   Spa                    Juice Bar  \n",
       "2           Pizza Place           Coffee Shop                    Pet Store  \n",
       "3    Chinese Restaurant           Fish Market    Latin American Restaurant  \n",
       "4            Donut Shop   Dumpling Restaurant                Women's Store  "
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "toronto_merged = final_data\n",
    "toronto_merged.rename(columns={'Neighbourhood':'Neighborhood'},inplace=True)\n",
    "# add clustering labels\n",
    "toronto_merged['Cluster Labels'] = kmeans.labels_\n",
    "\n",
    "# merge toronto_grouped with toronto_data to add latitude/longitude for each neighborhood\n",
    "toronto_merged = toronto_merged.join(neighborhoods_venues_sorted.set_index('Neighborhood'), on='Neighborhood')\n",
    "\n",
    "toronto_merged.head() # check the last columns!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div style=\"width:100%;\"><div style=\"position:relative;width:100%;height:0;padding-bottom:60%;\"><iframe src=\"data:text/html;charset=utf-8;base64,<!DOCTYPE html>
<head>    
    <meta http-equiv="content-type" content="text/html; charset=UTF-8" />
    <script>L_PREFER_CANVAS = false; L_NO_TOUCH = false; L_DISABLE_3D = false;</script>
    <script src="https://cdn.jsdelivr.net/npm/leaflet@1.2.0/dist/leaflet.js"></script>
    <script src="https://ajax.googleapis.com/ajax/libs/jquery/1.11.1/jquery.min.js"></script>
    <script src="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/js/bootstrap.min.js"></script>
    <script src="https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.js"></script>
    <link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/leaflet@1.2.0/dist/leaflet.css"/>
    <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap.min.css"/>
    <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap-theme.min.css"/>
    <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/font-awesome/4.6.3/css/font-awesome.min.css"/>
    <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.css"/>
    <link rel="stylesheet" href="https://rawgit.com/python-visualization/folium/master/folium/templates/leaflet.awesome.rotate.css"/>
    <style>html, body {width: 100%;height: 100%;margin: 0;padding: 0;}</style>
    <style>#map {position:absolute;top:0;bottom:0;right:0;left:0;}</style>
    
            <style> #map_8136dc1b9b154dccb23aa52d1f60ff33 {
                position : relative;
                width : 100.0%;
                height: 100.0%;
                left: 0.0%;
                top: 0.0%;
                }
            </style>
        
</head>
<body>    
    
            <div class="folium-map" id="map_8136dc1b9b154dccb23aa52d1f60ff33" ></div>
        
</body>
<script>    
    

            
                var bounds = null;
            

            var map_8136dc1b9b154dccb23aa52d1f60ff33 = L.map(
                                  'map_8136dc1b9b154dccb23aa52d1f60ff33',
                                  {center: [43.653963,-79.387207],
                                  zoom: 11,
                                  maxBounds: bounds,
                                  layers: [],
                                  worldCopyJump: false,
                                  crs: L.CRS.EPSG3857
                                 });
            
        
    
            var tile_layer_8871367d845e4a488b546ff9e3296491 = L.tileLayer(
                'https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png',
                {
  "attribution": null,
  "detectRetina": false,
  "maxZoom": 18,
  "minZoom": 1,
  "noWrap": false,
  "subdomains": "abc"
}
                ).addTo(map_8136dc1b9b154dccb23aa52d1f60ff33);
        
    
            var circle_marker_bb308125eabd4d6cb91a5e9ef694b427 = L.circleMarker(
                [43.67635739999999,-79.2930312],
                {
  "bubblingMouseEvents": true,
  "color": "#ff0000",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#ff0000",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_8136dc1b9b154dccb23aa52d1f60ff33);
            
    
            var popup_b714060966654474977179960e7399a1 = L.popup({maxWidth: '300'});

            
                var html_2ec1b2e22bd549b09b74b45792f54a3b = $('<div id="html_2ec1b2e22bd549b09b74b45792f54a3b" style="width: 100.0%; height: 100.0%;">The Beaches Cluster 0</div>')[0];
                popup_b714060966654474977179960e7399a1.setContent(html_2ec1b2e22bd549b09b74b45792f54a3b);
            

            circle_marker_bb308125eabd4d6cb91a5e9ef694b427.bindPopup(popup_b714060966654474977179960e7399a1);

            
        
    
            var circle_marker_7aa1660377cc4209b824d8c5eb5e1d2c = L.circleMarker(
                [43.6795571,-79.352188],
                {
  "bubblingMouseEvents": true,
  "color": "#ff0000",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#ff0000",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_8136dc1b9b154dccb23aa52d1f60ff33);
            
    
            var popup_dcaa66328b8f4fc5b1192b1611b46c63 = L.popup({maxWidth: '300'});

            
                var html_cc306cc7c77a4d1b8fa9cc74ec5d4d37 = $('<div id="html_cc306cc7c77a4d1b8fa9cc74ec5d4d37" style="width: 100.0%; height: 100.0%;">The Danforth West, Riverdale Cluster 0</div>')[0];
                popup_dcaa66328b8f4fc5b1192b1611b46c63.setContent(html_cc306cc7c77a4d1b8fa9cc74ec5d4d37);
            

            circle_marker_7aa1660377cc4209b824d8c5eb5e1d2c.bindPopup(popup_dcaa66328b8f4fc5b1192b1611b46c63);

            
        
    
            var circle_marker_6ed4f98628614e568a2c0a1d404a8604 = L.circleMarker(
                [43.6689985,-79.31557159999998],
                {
  "bubblingMouseEvents": true,
  "color": "#ff0000",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#ff0000",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_8136dc1b9b154dccb23aa52d1f60ff33);
            
    
            var popup_ed266417f6f1495a99f6766e1830da5a = L.popup({maxWidth: '300'});

            
                var html_5584f96a0102414aa41f551ed4a2c75e = $('<div id="html_5584f96a0102414aa41f551ed4a2c75e" style="width: 100.0%; height: 100.0%;">The Beaches West, India Bazaar Cluster 0</div>')[0];
                popup_ed266417f6f1495a99f6766e1830da5a.setContent(html_5584f96a0102414aa41f551ed4a2c75e);
            

            circle_marker_6ed4f98628614e568a2c0a1d404a8604.bindPopup(popup_ed266417f6f1495a99f6766e1830da5a);

            
        
    
            var circle_marker_8266bb5b6e3b46a39a5a9a1ffce4f6e0 = L.circleMarker(
                [43.6595255,-79.340923],
                {
  "bubblingMouseEvents": true,
  "color": "#ff0000",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#ff0000",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_8136dc1b9b154dccb23aa52d1f60ff33);
            
    
            var popup_5c7971c77c3c40c89353653b55296ef1 = L.popup({maxWidth: '300'});

            
                var html_5641a631b5dd4a7ea8aa6a6b2b04ff8b = $('<div id="html_5641a631b5dd4a7ea8aa6a6b2b04ff8b" style="width: 100.0%; height: 100.0%;">Studio District Cluster 0</div>')[0];
                popup_5c7971c77c3c40c89353653b55296ef1.setContent(html_5641a631b5dd4a7ea8aa6a6b2b04ff8b);
            

            circle_marker_8266bb5b6e3b46a39a5a9a1ffce4f6e0.bindPopup(popup_5c7971c77c3c40c89353653b55296ef1);

            
        
    
            var circle_marker_7c2b737921064fb48b7d71379084f355 = L.circleMarker(
                [43.7280205,-79.3887901],
                {
  "bubblingMouseEvents": true,
  "color": "#ff0000",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#ff0000",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_8136dc1b9b154dccb23aa52d1f60ff33);
            
    
            var popup_766a48f0fb8547458164081ae9de5674 = L.popup({maxWidth: '300'});

            
                var html_80cfb436bac0449b861cc23b3312e75d = $('<div id="html_80cfb436bac0449b861cc23b3312e75d" style="width: 100.0%; height: 100.0%;">Lawrence Park Cluster 0</div>')[0];
                popup_766a48f0fb8547458164081ae9de5674.setContent(html_80cfb436bac0449b861cc23b3312e75d);
            

            circle_marker_7c2b737921064fb48b7d71379084f355.bindPopup(popup_766a48f0fb8547458164081ae9de5674);

            
        
    
            var circle_marker_181e74149e2d476e88ab706fd41b33e1 = L.circleMarker(
                [43.7127511,-79.3901975],
                {
  "bubblingMouseEvents": true,
  "color": "#ff0000",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#ff0000",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_8136dc1b9b154dccb23aa52d1f60ff33);
            
    
            var popup_5930c7cd60534adea05af9a84996dcd0 = L.popup({maxWidth: '300'});

            
                var html_4a385910d17a4764a3c40c34ad180cb3 = $('<div id="html_4a385910d17a4764a3c40c34ad180cb3" style="width: 100.0%; height: 100.0%;">Davisville North Cluster 0</div>')[0];
                popup_5930c7cd60534adea05af9a84996dcd0.setContent(html_4a385910d17a4764a3c40c34ad180cb3);
            

            circle_marker_181e74149e2d476e88ab706fd41b33e1.bindPopup(popup_5930c7cd60534adea05af9a84996dcd0);

            
        
    
            var circle_marker_287f9f2ef794464883cc80402324472e = L.circleMarker(
                [43.7153834,-79.40567840000001],
                {
  "bubblingMouseEvents": true,
  "color": "#ff0000",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#ff0000",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_8136dc1b9b154dccb23aa52d1f60ff33);
            
    
            var popup_3938a6f3937d488dbe0450d877fd0992 = L.popup({maxWidth: '300'});

            
                var html_783f80f6ca9a41d8bd60fbea1c9f59f2 = $('<div id="html_783f80f6ca9a41d8bd60fbea1c9f59f2" style="width: 100.0%; height: 100.0%;">North Toronto West Cluster 0</div>')[0];
                popup_3938a6f3937d488dbe0450d877fd0992.setContent(html_783f80f6ca9a41d8bd60fbea1c9f59f2);
            

            circle_marker_287f9f2ef794464883cc80402324472e.bindPopup(popup_3938a6f3937d488dbe0450d877fd0992);

            
        
    
            var circle_marker_0279e47aba344fd1bde8563e4085e22f = L.circleMarker(
                [43.7043244,-79.3887901],
                {
  "bubblingMouseEvents": true,
  "color": "#ff0000",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#ff0000",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_8136dc1b9b154dccb23aa52d1f60ff33);
            
    
            var popup_6261327142c54bc291f1bcb073df3f78 = L.popup({maxWidth: '300'});

            
                var html_adec542a46204037bfe58bfad668d9af = $('<div id="html_adec542a46204037bfe58bfad668d9af" style="width: 100.0%; height: 100.0%;">Davisville Cluster 0</div>')[0];
                popup_6261327142c54bc291f1bcb073df3f78.setContent(html_adec542a46204037bfe58bfad668d9af);
            

            circle_marker_0279e47aba344fd1bde8563e4085e22f.bindPopup(popup_6261327142c54bc291f1bcb073df3f78);

            
        
    
            var circle_marker_1269419ba9674e6e845216a4e684e2ae = L.circleMarker(
                [43.6895743,-79.38315990000001],
                {
  "bubblingMouseEvents": true,
  "color": "#ff0000",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#ff0000",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_8136dc1b9b154dccb23aa52d1f60ff33);
            
    
            var popup_fb0fc7b69d59441c972db4b50edcb05f = L.popup({maxWidth: '300'});

            
                var html_7f284a7dc26b4738a67fdab97f65b4e0 = $('<div id="html_7f284a7dc26b4738a67fdab97f65b4e0" style="width: 100.0%; height: 100.0%;">Moore Park, Summerhill East Cluster 0</div>')[0];
                popup_fb0fc7b69d59441c972db4b50edcb05f.setContent(html_7f284a7dc26b4738a67fdab97f65b4e0);
            

            circle_marker_1269419ba9674e6e845216a4e684e2ae.bindPopup(popup_fb0fc7b69d59441c972db4b50edcb05f);

            
        
    
            var circle_marker_1a7f717a977a45398691b9036076508f = L.circleMarker(
                [43.68641229999999,-79.4000493],
                {
  "bubblingMouseEvents": true,
  "color": "#ff0000",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#ff0000",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_8136dc1b9b154dccb23aa52d1f60ff33);
            
    
            var popup_f281c72eb2d5482d854d8b3360a2db52 = L.popup({maxWidth: '300'});

            
                var html_34af28aa79e14359b07bc9da4c77ccb9 = $('<div id="html_34af28aa79e14359b07bc9da4c77ccb9" style="width: 100.0%; height: 100.0%;">Deer Park, Forest Hill SE, Rathnelly, South Hill, Summerhill West Cluster 0</div>')[0];
                popup_f281c72eb2d5482d854d8b3360a2db52.setContent(html_34af28aa79e14359b07bc9da4c77ccb9);
            

            circle_marker_1a7f717a977a45398691b9036076508f.bindPopup(popup_f281c72eb2d5482d854d8b3360a2db52);

            
        
    
            var circle_marker_4750b7f7f70f457996fa1782c0c15d02 = L.circleMarker(
                [43.6795626,-79.37752940000001],
                {
  "bubblingMouseEvents": true,
  "color": "#ff0000",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#ff0000",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_8136dc1b9b154dccb23aa52d1f60ff33);
            
    
            var popup_64a22223eff54d59afc0e605ca0fd16f = L.popup({maxWidth: '300'});

            
                var html_a8836bac57314ef2893f8cc595615be0 = $('<div id="html_a8836bac57314ef2893f8cc595615be0" style="width: 100.0%; height: 100.0%;">Rosedale Cluster 0</div>')[0];
                popup_64a22223eff54d59afc0e605ca0fd16f.setContent(html_a8836bac57314ef2893f8cc595615be0);
            

            circle_marker_4750b7f7f70f457996fa1782c0c15d02.bindPopup(popup_64a22223eff54d59afc0e605ca0fd16f);

            
        
    
            var circle_marker_50dbe1a35363446bb2b35dd8f6b6f518 = L.circleMarker(
                [43.667967,-79.3676753],
                {
  "bubblingMouseEvents": true,
  "color": "#ff0000",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#ff0000",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_8136dc1b9b154dccb23aa52d1f60ff33);
            
    
            var popup_19a4c09a10f74f18a0382917c0d96db6 = L.popup({maxWidth: '300'});

            
                var html_c2eeeb74745d4b73b6872066d62d0c6a = $('<div id="html_c2eeeb74745d4b73b6872066d62d0c6a" style="width: 100.0%; height: 100.0%;">Cabbagetown, St. James Town Cluster 0</div>')[0];
                popup_19a4c09a10f74f18a0382917c0d96db6.setContent(html_c2eeeb74745d4b73b6872066d62d0c6a);
            

            circle_marker_50dbe1a35363446bb2b35dd8f6b6f518.bindPopup(popup_19a4c09a10f74f18a0382917c0d96db6);

            
        
    
            var circle_marker_576c58c236b74605bcb60c7157c166f4 = L.circleMarker(
                [43.6658599,-79.38315990000001],
                {
  "bubblingMouseEvents": true,
  "color": "#ff0000",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#ff0000",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_8136dc1b9b154dccb23aa52d1f60ff33);
            
    
            var popup_23f91005692c4f949566961d0e132d69 = L.popup({maxWidth: '300'});

            
                var html_d038bec53f474a83be4a5943a2be449a = $('<div id="html_d038bec53f474a83be4a5943a2be449a" style="width: 100.0%; height: 100.0%;">Church and Wellesley Cluster 0</div>')[0];
                popup_23f91005692c4f949566961d0e132d69.setContent(html_d038bec53f474a83be4a5943a2be449a);
            

            circle_marker_576c58c236b74605bcb60c7157c166f4.bindPopup(popup_23f91005692c4f949566961d0e132d69);

            
        
    
            var circle_marker_1d7faba295144c278407b264a55e9412 = L.circleMarker(
                [43.6542599,-79.3606359],
                {
  "bubblingMouseEvents": true,
  "color": "#ff0000",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#ff0000",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_8136dc1b9b154dccb23aa52d1f60ff33);
            
    
            var popup_847450e39fd044fdbacf7e250fb2155c = L.popup({maxWidth: '300'});

            
                var html_56512bc957ec4a269ba7ca1dcd8df6b5 = $('<div id="html_56512bc957ec4a269ba7ca1dcd8df6b5" style="width: 100.0%; height: 100.0%;">Harbourfront, Regent Park Cluster 0</div>')[0];
                popup_847450e39fd044fdbacf7e250fb2155c.setContent(html_56512bc957ec4a269ba7ca1dcd8df6b5);
            

            circle_marker_1d7faba295144c278407b264a55e9412.bindPopup(popup_847450e39fd044fdbacf7e250fb2155c);

            
        
    
            var circle_marker_24c513d676ca4b20997a8209d427e2f9 = L.circleMarker(
                [43.6571618,-79.37893709999999],
                {
  "bubblingMouseEvents": true,
  "color": "#ff0000",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#ff0000",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_8136dc1b9b154dccb23aa52d1f60ff33);
            
    
            var popup_77e351a811b14cfaa073550fd4d100a7 = L.popup({maxWidth: '300'});

            
                var html_dc54f8292ef846f7a88ffaef999ab7ab = $('<div id="html_dc54f8292ef846f7a88ffaef999ab7ab" style="width: 100.0%; height: 100.0%;">Ryerson, Garden District Cluster 0</div>')[0];
                popup_77e351a811b14cfaa073550fd4d100a7.setContent(html_dc54f8292ef846f7a88ffaef999ab7ab);
            

            circle_marker_24c513d676ca4b20997a8209d427e2f9.bindPopup(popup_77e351a811b14cfaa073550fd4d100a7);

            
        
    
            var circle_marker_69f575c7b2624095818135987008a248 = L.circleMarker(
                [43.6514939,-79.3754179],
                {
  "bubblingMouseEvents": true,
  "color": "#ff0000",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#ff0000",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_8136dc1b9b154dccb23aa52d1f60ff33);
            
    
            var popup_1215fbccc434432882886e11f9d31b60 = L.popup({maxWidth: '300'});

            
                var html_e5cb811ceffe44cf8b4011f17ee75c31 = $('<div id="html_e5cb811ceffe44cf8b4011f17ee75c31" style="width: 100.0%; height: 100.0%;">St. James Town Cluster 0</div>')[0];
                popup_1215fbccc434432882886e11f9d31b60.setContent(html_e5cb811ceffe44cf8b4011f17ee75c31);
            

            circle_marker_69f575c7b2624095818135987008a248.bindPopup(popup_1215fbccc434432882886e11f9d31b60);

            
        
    
            var circle_marker_e7e716c770274ad195658c1896784499 = L.circleMarker(
                [43.644770799999996,-79.3733064],
                {
  "bubblingMouseEvents": true,
  "color": "#ff0000",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#ff0000",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_8136dc1b9b154dccb23aa52d1f60ff33);
            
    
            var popup_69a566c6e9554638af67ab372309f1f0 = L.popup({maxWidth: '300'});

            
                var html_f5a7fab56b0c420c96feef2d8564d16c = $('<div id="html_f5a7fab56b0c420c96feef2d8564d16c" style="width: 100.0%; height: 100.0%;">Berczy Park Cluster 0</div>')[0];
                popup_69a566c6e9554638af67ab372309f1f0.setContent(html_f5a7fab56b0c420c96feef2d8564d16c);
            

            circle_marker_e7e716c770274ad195658c1896784499.bindPopup(popup_69a566c6e9554638af67ab372309f1f0);

            
        
    
            var circle_marker_0dd78a3aee3e410da555aa56a9b5298a = L.circleMarker(
                [43.6579524,-79.3873826],
                {
  "bubblingMouseEvents": true,
  "color": "#80ffb4",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#80ffb4",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_8136dc1b9b154dccb23aa52d1f60ff33);
            
    
            var popup_35e05e3d21c64114bd5cbaaf253a48ff = L.popup({maxWidth: '300'});

            
                var html_14b528dead2a4e77bb6a9450443fae77 = $('<div id="html_14b528dead2a4e77bb6a9450443fae77" style="width: 100.0%; height: 100.0%;">Central Bay Street Cluster 3</div>')[0];
                popup_35e05e3d21c64114bd5cbaaf253a48ff.setContent(html_14b528dead2a4e77bb6a9450443fae77);
            

            circle_marker_0dd78a3aee3e410da555aa56a9b5298a.bindPopup(popup_35e05e3d21c64114bd5cbaaf253a48ff);

            
        
    
            var circle_marker_a16a7483c247429dafe94e84e58542dd = L.circleMarker(
                [43.65057120000001,-79.3845675],
                {
  "bubblingMouseEvents": true,
  "color": "#ff0000",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#ff0000",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_8136dc1b9b154dccb23aa52d1f60ff33);
            
    
            var popup_04bf92ba82dd4f38ba9f4298c113abbc = L.popup({maxWidth: '300'});

            
                var html_b5d26775c40e4db1aa185226e8f514b3 = $('<div id="html_b5d26775c40e4db1aa185226e8f514b3" style="width: 100.0%; height: 100.0%;">Adelaide, King, Richmond Cluster 0</div>')[0];
                popup_04bf92ba82dd4f38ba9f4298c113abbc.setContent(html_b5d26775c40e4db1aa185226e8f514b3);
            

            circle_marker_a16a7483c247429dafe94e84e58542dd.bindPopup(popup_04bf92ba82dd4f38ba9f4298c113abbc);

            
        
    
            var circle_marker_072cf03428854a1ab58563b8c17f620c = L.circleMarker(
                [43.6408157,-79.38175229999999],
                {
  "bubblingMouseEvents": true,
  "color": "#ff0000",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#ff0000",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_8136dc1b9b154dccb23aa52d1f60ff33);
            
    
            var popup_0c5a4a3d3b654bbcbf502300fa55778b = L.popup({maxWidth: '300'});

            
                var html_40420178798e498681bd64f9f7b36d08 = $('<div id="html_40420178798e498681bd64f9f7b36d08" style="width: 100.0%; height: 100.0%;">Harbourfront East, Toronto Islands, Union Station Cluster 0</div>')[0];
                popup_0c5a4a3d3b654bbcbf502300fa55778b.setContent(html_40420178798e498681bd64f9f7b36d08);
            

            circle_marker_072cf03428854a1ab58563b8c17f620c.bindPopup(popup_0c5a4a3d3b654bbcbf502300fa55778b);

            
        
    
            var circle_marker_c7a771e1fa9b40f0829cad7c30b30182 = L.circleMarker(
                [43.6471768,-79.38157640000001],
                {
  "bubblingMouseEvents": true,
  "color": "#ff0000",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#ff0000",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_8136dc1b9b154dccb23aa52d1f60ff33);
            
    
            var popup_c3696ed9c7ce4bb281d6b12a104c5129 = L.popup({maxWidth: '300'});

            
                var html_c9ec2053fa004d638993e1cc8dadea93 = $('<div id="html_c9ec2053fa004d638993e1cc8dadea93" style="width: 100.0%; height: 100.0%;">Design Exchange, Toronto Dominion Centre Cluster 0</div>')[0];
                popup_c3696ed9c7ce4bb281d6b12a104c5129.setContent(html_c9ec2053fa004d638993e1cc8dadea93);
            

            circle_marker_c7a771e1fa9b40f0829cad7c30b30182.bindPopup(popup_c3696ed9c7ce4bb281d6b12a104c5129);

            
        
    
            var circle_marker_48b03cb616f54edd8621f0df894ed16d = L.circleMarker(
                [43.6481985,-79.37981690000001],
                {
  "bubblingMouseEvents": true,
  "color": "#ff0000",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#ff0000",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_8136dc1b9b154dccb23aa52d1f60ff33);
            
    
            var popup_984ce4c3f74d4f398000c0aad6f9bf18 = L.popup({maxWidth: '300'});

            
                var html_1392f423bb2a480e9cc7e1ac93c0ad2d = $('<div id="html_1392f423bb2a480e9cc7e1ac93c0ad2d" style="width: 100.0%; height: 100.0%;">Commerce Court, Victoria Hotel Cluster 0</div>')[0];
                popup_984ce4c3f74d4f398000c0aad6f9bf18.setContent(html_1392f423bb2a480e9cc7e1ac93c0ad2d);
            

            circle_marker_48b03cb616f54edd8621f0df894ed16d.bindPopup(popup_984ce4c3f74d4f398000c0aad6f9bf18);

            
        
    
            var circle_marker_5dc79baf517b46f797693f1074c649b3 = L.circleMarker(
                [43.7116948,-79.41693559999999],
                {
  "bubblingMouseEvents": true,
  "color": "#ffb360",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#ffb360",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_8136dc1b9b154dccb23aa52d1f60ff33);
            
    
            var popup_f9c29b396d7644f5a4321c4c5dab27ea = L.popup({maxWidth: '300'});

            
                var html_f7af6ee1de9a41a89fdefa6bc00cf84b = $('<div id="html_f7af6ee1de9a41a89fdefa6bc00cf84b" style="width: 100.0%; height: 100.0%;">Roselawn Cluster 4</div>')[0];
                popup_f9c29b396d7644f5a4321c4c5dab27ea.setContent(html_f7af6ee1de9a41a89fdefa6bc00cf84b);
            

            circle_marker_5dc79baf517b46f797693f1074c649b3.bindPopup(popup_f9c29b396d7644f5a4321c4c5dab27ea);

            
        
    
            var circle_marker_a567bf4e5fa14a92aeadacce07220197 = L.circleMarker(
                [43.6969476,-79.41130720000001],
                {
  "bubblingMouseEvents": true,
  "color": "#ff0000",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#ff0000",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_8136dc1b9b154dccb23aa52d1f60ff33);
            
    
            var popup_5e2b0efc16ad4b779fe586fe99db4831 = L.popup({maxWidth: '300'});

            
                var html_c68b3f0ef14f439fbce0eb2343b53158 = $('<div id="html_c68b3f0ef14f439fbce0eb2343b53158" style="width: 100.0%; height: 100.0%;">Forest Hill North, Forest Hill West Cluster 0</div>')[0];
                popup_5e2b0efc16ad4b779fe586fe99db4831.setContent(html_c68b3f0ef14f439fbce0eb2343b53158);
            

            circle_marker_a567bf4e5fa14a92aeadacce07220197.bindPopup(popup_5e2b0efc16ad4b779fe586fe99db4831);

            
        
    
            var circle_marker_62e8a50b7aa94109b3b4850f3a831c9c = L.circleMarker(
                [43.6727097,-79.40567840000001],
                {
  "bubblingMouseEvents": true,
  "color": "#8000ff",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#8000ff",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_8136dc1b9b154dccb23aa52d1f60ff33);
            
    
            var popup_4d56c36800fc4e28b9b025f8122ce777 = L.popup({maxWidth: '300'});

            
                var html_a2b0173b8aa747dea47685c9843ab929 = $('<div id="html_a2b0173b8aa747dea47685c9843ab929" style="width: 100.0%; height: 100.0%;">The Annex, North Midtown, Yorkville Cluster 1</div>')[0];
                popup_4d56c36800fc4e28b9b025f8122ce777.setContent(html_a2b0173b8aa747dea47685c9843ab929);
            

            circle_marker_62e8a50b7aa94109b3b4850f3a831c9c.bindPopup(popup_4d56c36800fc4e28b9b025f8122ce777);

            
        
    
            var circle_marker_f49972076a2d485fbce1ce4b2e5dd175 = L.circleMarker(
                [43.6626956,-79.4000493],
                {
  "bubblingMouseEvents": true,
  "color": "#ff0000",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#ff0000",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_8136dc1b9b154dccb23aa52d1f60ff33);
            
    
            var popup_06487b96032f4fa5aeb07d643f7c5a70 = L.popup({maxWidth: '300'});

            
                var html_c900af1ded60451da2060d681907dab5 = $('<div id="html_c900af1ded60451da2060d681907dab5" style="width: 100.0%; height: 100.0%;">Harbord, University of Toronto Cluster 0</div>')[0];
                popup_06487b96032f4fa5aeb07d643f7c5a70.setContent(html_c900af1ded60451da2060d681907dab5);
            

            circle_marker_f49972076a2d485fbce1ce4b2e5dd175.bindPopup(popup_06487b96032f4fa5aeb07d643f7c5a70);

            
        
    
            var circle_marker_342743322b74472e886fb0eaf8a39e04 = L.circleMarker(
                [43.6532057,-79.4000493],
                {
  "bubblingMouseEvents": true,
  "color": "#ff0000",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#ff0000",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_8136dc1b9b154dccb23aa52d1f60ff33);
            
    
            var popup_d024bc166d4944958613f253959593c0 = L.popup({maxWidth: '300'});

            
                var html_73b00e6e2d4540f094b5915daf2fe7e7 = $('<div id="html_73b00e6e2d4540f094b5915daf2fe7e7" style="width: 100.0%; height: 100.0%;">Chinatown, Grange Park, Kensington Market Cluster 0</div>')[0];
                popup_d024bc166d4944958613f253959593c0.setContent(html_73b00e6e2d4540f094b5915daf2fe7e7);
            

            circle_marker_342743322b74472e886fb0eaf8a39e04.bindPopup(popup_d024bc166d4944958613f253959593c0);

            
        
    
            var circle_marker_b6ea862b322547d38d98fdf36420e22f = L.circleMarker(
                [43.6289467,-79.3944199],
                {
  "bubblingMouseEvents": true,
  "color": "#8000ff",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#8000ff",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_8136dc1b9b154dccb23aa52d1f60ff33);
            
    
            var popup_17ff5d6b5bad47498b0479842c5f3433 = L.popup({maxWidth: '300'});

            
                var html_d945d375247b4f5ea0b2b1e4e8842bae = $('<div id="html_d945d375247b4f5ea0b2b1e4e8842bae" style="width: 100.0%; height: 100.0%;">CN Tower, Bathurst Quay, Island airport, Harbourfront West, King and Spadina, Railway Lands, South Niagara Cluster 1</div>')[0];
                popup_17ff5d6b5bad47498b0479842c5f3433.setContent(html_d945d375247b4f5ea0b2b1e4e8842bae);
            

            circle_marker_b6ea862b322547d38d98fdf36420e22f.bindPopup(popup_17ff5d6b5bad47498b0479842c5f3433);

            
        
    
            var circle_marker_5e2e5f57f0c248f28a21900cc11bf83c = L.circleMarker(
                [43.6464352,-79.37484599999999],
                {
  "bubblingMouseEvents": true,
  "color": "#00b5eb",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#00b5eb",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_8136dc1b9b154dccb23aa52d1f60ff33);
            
    
            var popup_4dbcb69ceccb4b8d8936fefba963517e = L.popup({maxWidth: '300'});

            
                var html_23b78e0baff74858b7c1693666b0e51f = $('<div id="html_23b78e0baff74858b7c1693666b0e51f" style="width: 100.0%; height: 100.0%;">Stn A PO Boxes 25 The Esplanade Cluster 2</div>')[0];
                popup_4dbcb69ceccb4b8d8936fefba963517e.setContent(html_23b78e0baff74858b7c1693666b0e51f);
            

            circle_marker_5e2e5f57f0c248f28a21900cc11bf83c.bindPopup(popup_4dbcb69ceccb4b8d8936fefba963517e);

            
        
    
            var circle_marker_9ebcd9f401cd4b56aa75230a5d8699e6 = L.circleMarker(
                [43.6484292,-79.3822802],
                {
  "bubblingMouseEvents": true,
  "color": "#ff0000",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#ff0000",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_8136dc1b9b154dccb23aa52d1f60ff33);
            
    
            var popup_1c8cef96b6094126a45dfae8c58f02ac = L.popup({maxWidth: '300'});

            
                var html_b91955ce895545809d519df3ddc8731a = $('<div id="html_b91955ce895545809d519df3ddc8731a" style="width: 100.0%; height: 100.0%;">First Canadian Place, Underground city Cluster 0</div>')[0];
                popup_1c8cef96b6094126a45dfae8c58f02ac.setContent(html_b91955ce895545809d519df3ddc8731a);
            

            circle_marker_9ebcd9f401cd4b56aa75230a5d8699e6.bindPopup(popup_1c8cef96b6094126a45dfae8c58f02ac);

            
        
    
            var circle_marker_34810a2e65434c418921cebddb22744f = L.circleMarker(
                [43.669542,-79.4225637],
                {
  "bubblingMouseEvents": true,
  "color": "#ff0000",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#ff0000",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_8136dc1b9b154dccb23aa52d1f60ff33);
            
    
            var popup_9bf1fda726594dd8a23cbdd13390b9a8 = L.popup({maxWidth: '300'});

            
                var html_384a99aee8874640917331f05c7c8838 = $('<div id="html_384a99aee8874640917331f05c7c8838" style="width: 100.0%; height: 100.0%;">Christie Cluster 0</div>')[0];
                popup_9bf1fda726594dd8a23cbdd13390b9a8.setContent(html_384a99aee8874640917331f05c7c8838);
            

            circle_marker_34810a2e65434c418921cebddb22744f.bindPopup(popup_9bf1fda726594dd8a23cbdd13390b9a8);

            
        
    
            var circle_marker_7ee0ceba007c45c48fef7ea2ca17bc2c = L.circleMarker(
                [43.66900510000001,-79.4422593],
                {
  "bubblingMouseEvents": true,
  "color": "#ff0000",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#ff0000",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_8136dc1b9b154dccb23aa52d1f60ff33);
            
    
            var popup_16bd5a9db8b0463698175b6ca2b175bb = L.popup({maxWidth: '300'});

            
                var html_958520ac66d247d9b3f624810d224b0a = $('<div id="html_958520ac66d247d9b3f624810d224b0a" style="width: 100.0%; height: 100.0%;">Dovercourt Village, Dufferin Cluster 0</div>')[0];
                popup_16bd5a9db8b0463698175b6ca2b175bb.setContent(html_958520ac66d247d9b3f624810d224b0a);
            

            circle_marker_7ee0ceba007c45c48fef7ea2ca17bc2c.bindPopup(popup_16bd5a9db8b0463698175b6ca2b175bb);

            
        
    
            var circle_marker_c78bae46f3484eabba25bf565c915ee0 = L.circleMarker(
                [43.647926700000006,-79.4197497],
                {
  "bubblingMouseEvents": true,
  "color": "#ff0000",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#ff0000",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_8136dc1b9b154dccb23aa52d1f60ff33);
            
    
            var popup_6e8e448cf7ea40f0bc41618fa7d4c859 = L.popup({maxWidth: '300'});

            
                var html_6b48f5f4295f4f3389a2815ea46d52e9 = $('<div id="html_6b48f5f4295f4f3389a2815ea46d52e9" style="width: 100.0%; height: 100.0%;">Little Portugal, Trinity Cluster 0</div>')[0];
                popup_6e8e448cf7ea40f0bc41618fa7d4c859.setContent(html_6b48f5f4295f4f3389a2815ea46d52e9);
            

            circle_marker_c78bae46f3484eabba25bf565c915ee0.bindPopup(popup_6e8e448cf7ea40f0bc41618fa7d4c859);

            
        
    
            var circle_marker_b308027fe59e474d988cec6db84a6670 = L.circleMarker(
                [43.6368472,-79.42819140000002],
                {
  "bubblingMouseEvents": true,
  "color": "#ff0000",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#ff0000",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_8136dc1b9b154dccb23aa52d1f60ff33);
            
    
            var popup_085a2e8349284faa9c5cdbf36317a92d = L.popup({maxWidth: '300'});

            
                var html_fa958ff684a34f45a0f8afec5ddb6b84 = $('<div id="html_fa958ff684a34f45a0f8afec5ddb6b84" style="width: 100.0%; height: 100.0%;">Brockton, Exhibition Place, Parkdale Village Cluster 0</div>')[0];
                popup_085a2e8349284faa9c5cdbf36317a92d.setContent(html_fa958ff684a34f45a0f8afec5ddb6b84);
            

            circle_marker_b308027fe59e474d988cec6db84a6670.bindPopup(popup_085a2e8349284faa9c5cdbf36317a92d);

            
        
    
            var circle_marker_4cd44d1def6b40da8126a718f73c5a3b = L.circleMarker(
                [43.6616083,-79.46476329999999],
                {
  "bubblingMouseEvents": true,
  "color": "#ff0000",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#ff0000",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_8136dc1b9b154dccb23aa52d1f60ff33);
            
    
            var popup_ca3d05dc92b24cbb8e537e699d1aad55 = L.popup({maxWidth: '300'});

            
                var html_049e32fbcad74644a0146713700fdbd9 = $('<div id="html_049e32fbcad74644a0146713700fdbd9" style="width: 100.0%; height: 100.0%;">High Park, The Junction South Cluster 0</div>')[0];
                popup_ca3d05dc92b24cbb8e537e699d1aad55.setContent(html_049e32fbcad74644a0146713700fdbd9);
            

            circle_marker_4cd44d1def6b40da8126a718f73c5a3b.bindPopup(popup_ca3d05dc92b24cbb8e537e699d1aad55);

            
        
    
            var circle_marker_160f4820398647d1bc02e6b88f429d13 = L.circleMarker(
                [43.6489597,-79.456325],
                {
  "bubblingMouseEvents": true,
  "color": "#ff0000",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#ff0000",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_8136dc1b9b154dccb23aa52d1f60ff33);
            
    
            var popup_e9845ac666fb4724aa116b000f8a3d94 = L.popup({maxWidth: '300'});

            
                var html_170d80f71b81488fb6646b703278b63e = $('<div id="html_170d80f71b81488fb6646b703278b63e" style="width: 100.0%; height: 100.0%;">Parkdale, Roncesvalles Cluster 0</div>')[0];
                popup_e9845ac666fb4724aa116b000f8a3d94.setContent(html_170d80f71b81488fb6646b703278b63e);
            

            circle_marker_160f4820398647d1bc02e6b88f429d13.bindPopup(popup_e9845ac666fb4724aa116b000f8a3d94);

            
        
    
            var circle_marker_acca6ef17ad04153856621ba3e4daa2a = L.circleMarker(
                [43.6515706,-79.4844499],
                {
  "bubblingMouseEvents": true,
  "color": "#ff0000",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#ff0000",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_8136dc1b9b154dccb23aa52d1f60ff33);
            
    
            var popup_e5311108c88e4f6aa4ddcbb1bd4568e5 = L.popup({maxWidth: '300'});

            
                var html_5f650bb4bccf4c47b40d41c8ea5b013f = $('<div id="html_5f650bb4bccf4c47b40d41c8ea5b013f" style="width: 100.0%; height: 100.0%;">Runnymede, Swansea Cluster 0</div>')[0];
                popup_e5311108c88e4f6aa4ddcbb1bd4568e5.setContent(html_5f650bb4bccf4c47b40d41c8ea5b013f);
            

            circle_marker_acca6ef17ad04153856621ba3e4daa2a.bindPopup(popup_e5311108c88e4f6aa4ddcbb1bd4568e5);

            
        
    
            var circle_marker_29b5fcec93dd4d5a8bf2a848e6ca4313 = L.circleMarker(
                [43.6627439,-79.321558],
                {
  "bubblingMouseEvents": true,
  "color": "#ff0000",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#ff0000",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_8136dc1b9b154dccb23aa52d1f60ff33);
            
    
            var popup_0835f6c272024de98cb7c83e9a679187 = L.popup({maxWidth: '300'});

            
                var html_70b8bd3285c5474b922c663af9ea85dc = $('<div id="html_70b8bd3285c5474b922c663af9ea85dc" style="width: 100.0%; height: 100.0%;">Business reply mail Processing Centre969 Eastern Cluster 0</div>')[0];
                popup_0835f6c272024de98cb7c83e9a679187.setContent(html_70b8bd3285c5474b922c663af9ea85dc);
            

            circle_marker_29b5fcec93dd4d5a8bf2a848e6ca4313.bindPopup(popup_0835f6c272024de98cb7c83e9a679187);

            
        
</script>\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
      ],
      "text/plain": [
       "<folium.folium.Map at 0x7f7fcd852c18>"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# create map\n",
    "map_clusters = folium.Map(location=[latitude, longitude], zoom_start=11)\n",
    "\n",
    "# set color scheme for the clusters\n",
    "x = np.arange(kclusters)\n",
    "ys = [i+x+(i*x)**2 for i in range(kclusters)]\n",
    "colors_array = cm.rainbow(np.linspace(0, 1, len(ys)))\n",
    "rainbow = [colors.rgb2hex(i) for i in colors_array]\n",
    "\n",
    "# add markers to the map\n",
    "markers_colors = []\n",
    "for lat, lon, poi, cluster in zip(toronto_merged['Latitude'], toronto_merged['Longitude'], toronto_merged['Neighborhood'], toronto_merged['Cluster Labels']):\n",
    "    label = folium.Popup(str(poi) + ' Cluster ' + str(cluster), parse_html=True)\n",
    "    folium.CircleMarker(\n",
    "        [lat, lon],\n",
    "        radius=5,\n",
    "        popup=label,\n",
    "        color=rainbow[cluster-1],\n",
    "        fill=True,\n",
    "        fill_color=rainbow[cluster-1],\n",
    "        fill_opacity=0.7).add_to(map_clusters)\n",
    "       \n",
    "map_clusters"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}