Toronto.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "view-in-github"
   },
   "source": [
    "<a href=\"https://colab.research.google.com/github/arohanajit/Coursera_Capstone/blob/master/Toronto_Analysis.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Importing all necessary libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "n5hVZjCCxLvI"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Libraries imported.\n"
     ]
    }
   ],
   "source": [
    "import requests\n",
    "from bs4 import BeautifulSoup\n",
    "import requests\n",
    "from pandas.io.json import json_normalize\n",
    "import os\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import json\n",
    "import geocoder \n",
    "from geopy.geocoders import Nominatim\n",
    "import folium\n",
    "import matplotlib.cm as cm\n",
    "import matplotlib.colors as colors\n",
    "from sklearn.cluster import KMeans\n",
    "print('Libraries imported.')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "q4ThLUHfDWQF"
   },
   "source": [
    "### Extracting Data\n",
    "* URL is taken through requests method\n",
    "* Using Beautiful soup library, table data is extracted"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "C5pWAcZOxRo2"
   },
   "outputs": [],
   "source": [
    "pageUrl = 'https://en.wikipedia.org/wiki/List_of_postal_codes_of_Canada:_M'\n",
    "page = requests.get(pageUrl).text"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "f0IwmH6IxdDf"
   },
   "outputs": [],
   "source": [
    "soup = BeautifulSoup(page, 'html.parser')\n",
    "myTable = soup.find('table', class_=\"wikitable sortable\")\n",
    "headings = myTable.find_all('th')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "1qd41buiDtGi"
   },
   "source": [
    "### Pandas DataFrame\n",
    "* An empty dataframe is created using extracted headings\n",
    "* Values are extracted from table and appended after formatting\n",
    "  * Not assigned values are removed first\n",
    "  * White spaces are removed from list\n",
    "  * Boroughs with multiple neighbourhoods are formatted"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "hTl9hb8GyKwG"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Postal code</th>\n",
       "      <th>Borough</th>\n",
       "      <th>Neighborhood</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [Postal code, Borough, Neighborhood]\n",
       "Index: []"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "column = []\n",
    "for i in headings:\n",
    "    column.append(i.text[:-1])\n",
    "toronto_hood = pd.DataFrame(columns=column)\n",
    "toronto_hood"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "T4nRpsAg7lVX"
   },
   "outputs": [],
   "source": [
    "values = myTable.find_all('tr')\n",
    "del values[0]\n",
    "for i in values:\n",
    "    temp = i.text.split('\\n')\n",
    "    if temp[3]=='Not assigned':\n",
    "        continue\n",
    "    else:\n",
    "        temp = [temp[i] for i in range(len(temp)) if i%2!=0]\n",
    "        temp[-1] = temp[-1].replace(' /',',')\n",
    "        toronto_hood = toronto_hood.append({'Postal code':temp[0],\n",
    "                                            'Borough':temp[1],\n",
    "                                            'Neighborhood':temp[2]},ignore_index=True)\n",
    "\n",
    "        "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Postal code</th>\n",
       "      <th>Borough</th>\n",
       "      <th>Neighborhood</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>M1B</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Malvern, Rouge</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>M1C</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Rouge Hill, Port Union, Highland Creek</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>M1E</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Guildwood, Morningside, West Hill</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>M1G</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Woburn</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>M1H</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Cedarbrae</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>M1J</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Scarborough Village</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>M1K</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Kennedy Park, Ionview, East Birchmount Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>M1L</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Golden Mile, Clairlea, Oakridge</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>M1M</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Cliffside, Cliffcrest, Scarborough Village West</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>M1N</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Birch Cliff, Cliffside West</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Postal code      Borough                                     Neighborhood\n",
       "0         M1B  Scarborough                                   Malvern, Rouge\n",
       "1         M1C  Scarborough           Rouge Hill, Port Union, Highland Creek\n",
       "2         M1E  Scarborough                Guildwood, Morningside, West Hill\n",
       "3         M1G  Scarborough                                           Woburn\n",
       "4         M1H  Scarborough                                        Cedarbrae\n",
       "5         M1J  Scarborough                              Scarborough Village\n",
       "6         M1K  Scarborough      Kennedy Park, Ionview, East Birchmount Park\n",
       "7         M1L  Scarborough                  Golden Mile, Clairlea, Oakridge\n",
       "8         M1M  Scarborough  Cliffside, Cliffcrest, Scarborough Village West\n",
       "9         M1N  Scarborough                      Birch Cliff, Cliffside West"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "toronto_hood = toronto_hood.groupby(['Postal code','Borough'],as_index=False).agg(lambda x: \", \".join(x))\n",
    "for index, row in toronto_hood.iterrows():\n",
    "    if row[\"Neighborhood\"] == \"Not assigned\":\n",
    "        row[\"Neighborhood\"] = row[\"Borough\"]\n",
    "toronto_hood.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(103, 3)"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "toronto_hood.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Data read from CSV provided by Coursera"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "1O2gy2nEEfWb",
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></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>M1B</td>\n",
       "      <td>43.806686</td>\n",
       "      <td>-79.194353</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>M1C</td>\n",
       "      <td>43.784535</td>\n",
       "      <td>-79.160497</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>M1E</td>\n",
       "      <td>43.763573</td>\n",
       "      <td>-79.188711</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>M1G</td>\n",
       "      <td>43.770992</td>\n",
       "      <td>-79.216917</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>M1H</td>\n",
       "      <td>43.773136</td>\n",
       "      <td>-79.239476</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Postal Code   Latitude  Longitude\n",
       "0         M1B  43.806686 -79.194353\n",
       "1         M1C  43.784535 -79.160497\n",
       "2         M1E  43.763573 -79.188711\n",
       "3         M1G  43.770992 -79.216917\n",
       "4         M1H  43.773136 -79.239476"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "coordinates = pd.read_csv(\"Geospatial_Coordinates.csv\")\n",
    "coordinates.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></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>M1B</td>\n",
       "      <td>43.806686</td>\n",
       "      <td>-79.194353</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>M1C</td>\n",
       "      <td>43.784535</td>\n",
       "      <td>-79.160497</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>M1E</td>\n",
       "      <td>43.763573</td>\n",
       "      <td>-79.188711</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>M1G</td>\n",
       "      <td>43.770992</td>\n",
       "      <td>-79.216917</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>M1H</td>\n",
       "      <td>43.773136</td>\n",
       "      <td>-79.239476</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Postal code   Latitude  Longitude\n",
       "0         M1B  43.806686 -79.194353\n",
       "1         M1C  43.784535 -79.160497\n",
       "2         M1E  43.763573 -79.188711\n",
       "3         M1G  43.770992 -79.216917\n",
       "4         M1H  43.773136 -79.239476"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "coordinates.rename(columns={\"Postal Code\": \"Postal code\"}, inplace=True)\n",
    "coordinates.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Final dataset created and required values are displayer using a copy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Postal code</th>\n",
       "      <th>Borough</th>\n",
       "      <th>Neighborhood</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>M5G</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Central Bay Street</td>\n",
       "      <td>43.657952</td>\n",
       "      <td>-79.387383</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>M2H</td>\n",
       "      <td>North York</td>\n",
       "      <td>Hillcrest Village</td>\n",
       "      <td>43.803762</td>\n",
       "      <td>-79.363452</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>M4B</td>\n",
       "      <td>East York</td>\n",
       "      <td>Parkview Hill, Woodbine Gardens</td>\n",
       "      <td>43.706397</td>\n",
       "      <td>-79.309937</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>M1J</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Scarborough Village</td>\n",
       "      <td>43.744734</td>\n",
       "      <td>-79.239476</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>M4G</td>\n",
       "      <td>East York</td>\n",
       "      <td>Leaside</td>\n",
       "      <td>43.709060</td>\n",
       "      <td>-79.363452</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>M4M</td>\n",
       "      <td>East Toronto</td>\n",
       "      <td>Studio District</td>\n",
       "      <td>43.659526</td>\n",
       "      <td>-79.340923</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>M1R</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Wexford, Maryvale</td>\n",
       "      <td>43.750072</td>\n",
       "      <td>-79.295849</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>M9V</td>\n",
       "      <td>Etobicoke</td>\n",
       "      <td>South Steeles, Silverstone, Humbergate, Jamest...</td>\n",
       "      <td>43.739416</td>\n",
       "      <td>-79.588437</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>M9L</td>\n",
       "      <td>North York</td>\n",
       "      <td>Humber Summit</td>\n",
       "      <td>43.756303</td>\n",
       "      <td>-79.565963</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>M5V</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>CN Tower, King and Spadina, Railway Lands, Har...</td>\n",
       "      <td>43.628947</td>\n",
       "      <td>-79.394420</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>M1B</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Malvern, Rouge</td>\n",
       "      <td>43.806686</td>\n",
       "      <td>-79.194353</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>M5A</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Regent Park, Harbourfront</td>\n",
       "      <td>43.654260</td>\n",
       "      <td>-79.360636</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Postal code           Borough  \\\n",
       "0          M5G  Downtown Toronto   \n",
       "1          M2H        North York   \n",
       "2          M4B         East York   \n",
       "3          M1J       Scarborough   \n",
       "4          M4G         East York   \n",
       "5          M4M      East Toronto   \n",
       "6          M1R       Scarborough   \n",
       "7          M9V         Etobicoke   \n",
       "8          M9L        North York   \n",
       "9          M5V  Downtown Toronto   \n",
       "10         M1B       Scarborough   \n",
       "11         M5A  Downtown Toronto   \n",
       "\n",
       "                                         Neighborhood   Latitude  Longitude  \n",
       "0                                  Central Bay Street  43.657952 -79.387383  \n",
       "1                                   Hillcrest Village  43.803762 -79.363452  \n",
       "2                     Parkview Hill, Woodbine Gardens  43.706397 -79.309937  \n",
       "3                                 Scarborough Village  43.744734 -79.239476  \n",
       "4                                             Leaside  43.709060 -79.363452  \n",
       "5                                     Studio District  43.659526 -79.340923  \n",
       "6                                   Wexford, Maryvale  43.750072 -79.295849  \n",
       "7   South Steeles, Silverstone, Humbergate, Jamest...  43.739416 -79.588437  \n",
       "8                                       Humber Summit  43.756303 -79.565963  \n",
       "9   CN Tower, King and Spadina, Railway Lands, Har...  43.628947 -79.394420  \n",
       "10                                     Malvern, Rouge  43.806686 -79.194353  \n",
       "11                          Regent Park, Harbourfront  43.654260 -79.360636  "
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "toronto_new = toronto_hood.merge(coordinates, on=\"Postal code\", how=\"left\")\n",
    "column_names = [\"Postal code\", \"Borough\", \"Neighborhood\", \"Latitude\", \"Longitude\"]\n",
    "test_df = pd.DataFrame(columns=column_names)\n",
    "\n",
    "test_list = [\"M5G\", \"M2H\", \"M4B\", \"M1J\", \"M4G\", \"M4M\", \"M1R\", \"M9V\", \"M9L\", \"M5V\", \"M1B\", \"M5A\"]\n",
    "\n",
    "for postcode in test_list:\n",
    "    test_df = test_df.append(toronto_new[toronto_new[\"Postal code\"]==postcode], ignore_index=True)\n",
    "    \n",
    "test_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Toronto has 10 Boroughs and 103 unique neighborhoods\n"
     ]
    }
   ],
   "source": [
    "print(\"Toronto has {} Boroughs and {} unique neighborhoods\".format(len(toronto_new['Borough'].unique()),\n",
    "                                                                       toronto_new.shape[0]))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Toronto Map Created with all boroughs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The geograpical coordinate of Toronto are 43.6534817, -79.3839347.\n"
     ]
    }
   ],
   "source": [
    "address = 'Toronto, Ontario'\n",
    "\n",
    "geolocator = Nominatim(user_agent=\"toronto_explorer\")\n",
    "location = geolocator.geocode(address)\n",
    "latitude = location.latitude\n",
    "longitude = location.longitude\n",
    "print('The geograpical coordinate of Toronto are {}, {}.'.format(latitude, longitude))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": true
   },
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</script> onload=\"this.contentDocument.open();this.contentDocument.write(atob(this.getAttribute('data-html')));this.contentDocument.close();\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
      ],
      "text/plain": [
       "<folium.folium.Map at 0x260f6057988>"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "map_toronto = folium.Map(location=[latitude, longitude], zoom_start=10)\n",
    "for lat, lng, borough, neighborhood in zip(toronto_new['Latitude'], toronto_new['Longitude'], toronto_new['Borough'], toronto_new['Neighborhood']):\n",
    "    label = '{}, {}'.format(neighborhood, borough)\n",
    "    label = folium.Popup(label, parse_html=True)\n",
    "    folium.CircleMarker(\n",
    "        [lat, lng],\n",
    "        radius=5,\n",
    "        popup=label,\n",
    "        color='blue',\n",
    "        fill=True,\n",
    "        fill_color='#3186cc',\n",
    "        fill_opacity=0.7,\n",
    "        parse_html=False).add_to(map_toronto)  \n",
    "    \n",
    "map_toronto"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### All boroughs with 'Toronto' are selected"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 125,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['East Toronto', 'Central Toronto', 'Downtown Toronto', 'West Toronto']\n",
      "(39, 5)\n"
     ]
    },
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       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Postal code</th>\n",
       "      <th>Borough</th>\n",
       "      <th>Neighborhood</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>M4E</td>\n",
       "      <td>East Toronto</td>\n",
       "      <td>The Beaches</td>\n",
       "      <td>43.676357</td>\n",
       "      <td>-79.293031</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>M4K</td>\n",
       "      <td>East Toronto</td>\n",
       "      <td>The Danforth West, Riverdale</td>\n",
       "      <td>43.679557</td>\n",
       "      <td>-79.352188</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>M4L</td>\n",
       "      <td>East Toronto</td>\n",
       "      <td>India Bazaar, The Beaches West</td>\n",
       "      <td>43.668999</td>\n",
       "      <td>-79.315572</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>M4M</td>\n",
       "      <td>East Toronto</td>\n",
       "      <td>Studio District</td>\n",
       "      <td>43.659526</td>\n",
       "      <td>-79.340923</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>M4N</td>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>Lawrence Park</td>\n",
       "      <td>43.728020</td>\n",
       "      <td>-79.388790</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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      ],
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       "  Postal code          Borough                    Neighborhood   Latitude  \\\n",
       "0         M4E     East Toronto                     The Beaches  43.676357   \n",
       "1         M4K     East Toronto    The Danforth West, Riverdale  43.679557   \n",
       "2         M4L     East Toronto  India Bazaar, The Beaches West  43.668999   \n",
       "3         M4M     East Toronto                 Studio District  43.659526   \n",
       "4         M4N  Central Toronto                   Lawrence Park  43.728020   \n",
       "\n",
       "   Longitude  \n",
       "0 -79.293031  \n",
       "1 -79.352188  \n",
       "2 -79.315572  \n",
       "3 -79.340923  \n",
       "4 -79.388790  "
      ]
     },
     "execution_count": 125,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "highlight_hood = [i for i in toronto_new['Borough'].unique() if 'Toronto' in i]\n",
    "print(highlight_hood)\n",
    "subtoronto_data = toronto_new[toronto_new['Borough'].isin(highlight_hood)].reset_index(drop=True)\n",
    "print(subtoronto_data.shape)\n",
    "subtoronto_data.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Selected boroughs are displayed"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 127,
   "metadata": {},
   "outputs": [
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            var popup_140a859dabd447af8f96d228ac378020 = L.popup({maxWidth: '300'});

            
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                ).addTo(map_4b17cdd2d7134139ad639bb38b1daba5);
            
    
            var popup_503906a10c3146318db3967a5fedf129 = L.popup({maxWidth: '300'});

            
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                ).addTo(map_4b17cdd2d7134139ad639bb38b1daba5);
            
    
            var popup_cc8d0ff8f7ae4e008c82594d13cadc8e = L.popup({maxWidth: '300'});

            
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                ).addTo(map_4b17cdd2d7134139ad639bb38b1daba5);
            
    
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                ).addTo(map_4b17cdd2d7134139ad639bb38b1daba5);
            
    
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                ).addTo(map_4b17cdd2d7134139ad639bb38b1daba5);
            
    
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                ).addTo(map_4b17cdd2d7134139ad639bb38b1daba5);
            
    
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                var html_820d4a0628f245ed9a2e1ac1d72ee6ef = $('<div id="html_820d4a0628f245ed9a2e1ac1d72ee6ef" style="width: 100.0%; height: 100.0%;">Business reply mail Processing CentrE, East Toronto</div>')[0];
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</script> onload=\"this.contentDocument.open();this.contentDocument.write(atob(this.getAttribute('data-html')));this.contentDocument.close();\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
      ],
      "text/plain": [
       "<folium.folium.Map at 0x260e1689b88>"
      ]
     },
     "execution_count": 127,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# create map of Toronto using latitude and longitude values\n",
    "map_toronto = folium.Map(location=[latitude, longitude], zoom_start=10)\n",
    "\n",
    "# add markers to map\n",
    "for lat, lng, borough, neighborhood in zip(subtoronto_data['Latitude'], subtoronto_data['Longitude'], \n",
    "                                           subtoronto_data['Borough'], subtoronto_data['Neighborhood']):\n",
    "    label = '{}, {}'.format(neighborhood, borough)\n",
    "    label = folium.Popup(label, parse_html=True)\n",
    "    folium.CircleMarker(\n",
    "        [lat, lng],\n",
    "        radius=5,\n",
    "        popup=label,\n",
    "        color='blue',\n",
    "        fill=True,\n",
    "        fill_color='#3186cc',\n",
    "        fill_opacity=0.7).add_to(map_toronto)  \n",
    "    \n",
    "map_toronto"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Data acquired through Foursquare API"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "CLIENT_ID = 'XXX' \n",
    "CLIENT_SECRET = 'XXX' \n",
    "VERSION = 'XXX' # Foursquare API version\n",
    "\n",
    "print('Credentails:')\n",
    "print('CLIENT_ID: ' + CLIENT_ID)\n",
    "print('CLIENT_SECRET:' + CLIENT_SECRET)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 129,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0 done\n",
      "5 done\n",
      "10 done\n",
      "15 done\n",
      "20 done\n",
      "25 done\n",
      "30 done\n",
      "35 done\n"
     ]
    }
   ],
   "source": [
    "LIMIT = 100\n",
    "radius = 500\n",
    "count = 0\n",
    "venues_list = []\n",
    "for lat,long,name,bor,code in zip(subtoronto_data['Latitude'],subtoronto_data['Longitude'],\n",
    "                                  subtoronto_data['Neighborhood'],subtoronto_data['Borough'],\n",
    "                                  subtoronto_data['Postal code']):\n",
    "    \n",
    "\n",
    "    url = \"https://api.foursquare.com/v2/venues/explore?client_id={}&client_secret={}&v={}&ll={},{}&radius={}&limit={}\".format(\n",
    "        CLIENT_ID,\n",
    "        CLIENT_SECRET,\n",
    "        VERSION,\n",
    "        lat,\n",
    "        long,\n",
    "        radius, \n",
    "        LIMIT)\n",
    "    \n",
    "    if count%5==0:\n",
    "        print(\"{} done\".format(count))\n",
    "    tries=0\n",
    "    while(1):\n",
    "        tries+=1\n",
    "        if tries%20==0:\n",
    "            print(\"Try : {}...\".format(tries))\n",
    "        GET = requests.get(url).json()[\"response\"]\n",
    "        if len(GET)!=0:\n",
    "            break\n",
    "    results = GET['groups'][0]['items']\n",
    "    count+=1\n",
    "    venues_list.append([(\n",
    "            code,\n",
    "            bor,\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])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 137,
   "metadata": {},
   "outputs": [],
   "source": [
    "for i in venues_list:\n",
    "    for j in range(len(i)):\n",
    "        if i[j][-1]=='Neighborhood':\n",
    "            i[j] = tuple(list(i[j][:-1]) + ['Community'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Acquired data formed into Dataframe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 138,
   "metadata": {},
   "outputs": [],
   "source": [
    "venues = pd.DataFrame([item for venue_list in venues_list for item in venue_list])\n",
    "venues.columns = [\n",
    "                'Postal code',\n",
    "                'Borough',\n",
    "                'Neighborhood', \n",
    "                'Borough Latitude', \n",
    "                'Borough Longitude', \n",
    "                'Venue', \n",
    "                'Venue Latitude', \n",
    "                'Venue Longitude', \n",
    "                'Venue Category']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 139,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(1612, 9)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Postal code</th>\n",
       "      <th>Borough</th>\n",
       "      <th>Neighborhood</th>\n",
       "      <th>Borough Latitude</th>\n",
       "      <th>Borough Longitude</th>\n",
       "      <th>Venue</th>\n",
       "      <th>Venue Latitude</th>\n",
       "      <th>Venue Longitude</th>\n",
       "      <th>Venue Category</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>M4E</td>\n",
       "      <td>East Toronto</td>\n",
       "      <td>The Beaches</td>\n",
       "      <td>43.676357</td>\n",
       "      <td>-79.321558</td>\n",
       "      <td>Glen Manor Ravine</td>\n",
       "      <td>43.676821</td>\n",
       "      <td>-79.293942</td>\n",
       "      <td>Trail</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>M4E</td>\n",
       "      <td>East Toronto</td>\n",
       "      <td>The Beaches</td>\n",
       "      <td>43.676357</td>\n",
       "      <td>-79.321558</td>\n",
       "      <td>The Big Carrot Natural Food Market</td>\n",
       "      <td>43.678879</td>\n",
       "      <td>-79.297734</td>\n",
       "      <td>Health Food Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>M4E</td>\n",
       "      <td>East Toronto</td>\n",
       "      <td>The Beaches</td>\n",
       "      <td>43.676357</td>\n",
       "      <td>-79.321558</td>\n",
       "      <td>Grover Pub and Grub</td>\n",
       "      <td>43.679181</td>\n",
       "      <td>-79.297215</td>\n",
       "      <td>Pub</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>M4E</td>\n",
       "      <td>East Toronto</td>\n",
       "      <td>The Beaches</td>\n",
       "      <td>43.676357</td>\n",
       "      <td>-79.321558</td>\n",
       "      <td>Upper Beaches</td>\n",
       "      <td>43.680563</td>\n",
       "      <td>-79.292869</td>\n",
       "      <td>Community</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>M4K</td>\n",
       "      <td>East Toronto</td>\n",
       "      <td>The Danforth West, Riverdale</td>\n",
       "      <td>43.679557</td>\n",
       "      <td>-79.321558</td>\n",
       "      <td>MenEssentials</td>\n",
       "      <td>43.677820</td>\n",
       "      <td>-79.351265</td>\n",
       "      <td>Cosmetics Shop</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Postal code       Borough                  Neighborhood  Borough Latitude  \\\n",
       "0         M4E  East Toronto                   The Beaches         43.676357   \n",
       "1         M4E  East Toronto                   The Beaches         43.676357   \n",
       "2         M4E  East Toronto                   The Beaches         43.676357   \n",
       "3         M4E  East Toronto                   The Beaches         43.676357   \n",
       "4         M4K  East Toronto  The Danforth West, Riverdale         43.679557   \n",
       "\n",
       "   Borough Longitude                               Venue  Venue Latitude  \\\n",
       "0         -79.321558                   Glen Manor Ravine       43.676821   \n",
       "1         -79.321558  The Big Carrot Natural Food Market       43.678879   \n",
       "2         -79.321558                 Grover Pub and Grub       43.679181   \n",
       "3         -79.321558                       Upper Beaches       43.680563   \n",
       "4         -79.321558                       MenEssentials       43.677820   \n",
       "\n",
       "   Venue Longitude     Venue Category  \n",
       "0       -79.293942              Trail  \n",
       "1       -79.297734  Health Food Store  \n",
       "2       -79.297215                Pub  \n",
       "3       -79.292869          Community  \n",
       "4       -79.351265     Cosmetics Shop  "
      ]
     },
     "execution_count": 139,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(venues.shape)\n",
    "venues.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Dataframe is grouped to know number of venues in each Borough"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 140,
   "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></th>\n",
       "      <th></th>\n",
       "      <th>Borough Latitude</th>\n",
       "      <th>Borough Longitude</th>\n",
       "      <th>Venue</th>\n",
       "      <th>Venue Latitude</th>\n",
       "      <th>Venue Longitude</th>\n",
       "      <th>Venue Category</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Postal code</th>\n",
       "      <th>Borough</th>\n",
       "      <th>Neighborhood</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>M4E</th>\n",
       "      <th>East Toronto</th>\n",
       "      <th>The Beaches</th>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>M4K</th>\n",
       "      <th>East Toronto</th>\n",
       "      <th>The Danforth West, Riverdale</th>\n",
       "      <td>43</td>\n",
       "      <td>43</td>\n",
       "      <td>43</td>\n",
       "      <td>43</td>\n",
       "      <td>43</td>\n",
       "      <td>43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>M4L</th>\n",
       "      <th>East Toronto</th>\n",
       "      <th>India Bazaar, The Beaches West</th>\n",
       "      <td>18</td>\n",
       "      <td>18</td>\n",
       "      <td>18</td>\n",
       "      <td>18</td>\n",
       "      <td>18</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>M4M</th>\n",
       "      <th>East Toronto</th>\n",
       "      <th>Studio District</th>\n",
       "      <td>40</td>\n",
       "      <td>40</td>\n",
       "      <td>40</td>\n",
       "      <td>40</td>\n",
       "      <td>40</td>\n",
       "      <td>40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>M4N</th>\n",
       "      <th>Central Toronto</th>\n",
       "      <th>Lawrence Park</th>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>M4P</th>\n",
       "      <th>Central Toronto</th>\n",
       "      <th>Davisville North</th>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>M4R</th>\n",
       "      <th>Central Toronto</th>\n",
       "      <th>North Toronto West</th>\n",
       "      <td>21</td>\n",
       "      <td>21</td>\n",
       "      <td>21</td>\n",
       "      <td>21</td>\n",
       "      <td>21</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>M4S</th>\n",
       "      <th>Central Toronto</th>\n",
       "      <th>Davisville</th>\n",
       "      <td>33</td>\n",
       "      <td>33</td>\n",
       "      <td>33</td>\n",
       "      <td>33</td>\n",
       "      <td>33</td>\n",
       "      <td>33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>M4T</th>\n",
       "      <th>Central Toronto</th>\n",
       "      <th>Moore Park, Summerhill East</th>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>M4V</th>\n",
       "      <th>Central Toronto</th>\n",
       "      <th>Summerhill West, Rathnelly, South Hill, Forest Hill SE, Deer Park</th>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>M4W</th>\n",
       "      <th>Downtown Toronto</th>\n",
       "      <th>Rosedale</th>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>M4X</th>\n",
       "      <th>Downtown Toronto</th>\n",
       "      <th>St. James Town, Cabbagetown</th>\n",
       "      <td>43</td>\n",
       "      <td>43</td>\n",
       "      <td>43</td>\n",
       "      <td>43</td>\n",
       "      <td>43</td>\n",
       "      <td>43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>M4Y</th>\n",
       "      <th>Downtown Toronto</th>\n",
       "      <th>Church and Wellesley</th>\n",
       "      <td>72</td>\n",
       "      <td>72</td>\n",
       "      <td>72</td>\n",
       "      <td>72</td>\n",
       "      <td>72</td>\n",
       "      <td>72</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>M5A</th>\n",
       "      <th>Downtown Toronto</th>\n",
       "      <th>Regent Park, Harbourfront</th>\n",
       "      <td>48</td>\n",
       "      <td>48</td>\n",
       "      <td>48</td>\n",
       "      <td>48</td>\n",
       "      <td>48</td>\n",
       "      <td>48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>M5B</th>\n",
       "      <th>Downtown Toronto</th>\n",
       "      <th>Garden District, Ryerson</th>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>M5C</th>\n",
       "      <th>Downtown Toronto</th>\n",
       "      <th>St. James Town</th>\n",
       "      <td>82</td>\n",
       "      <td>82</td>\n",
       "      <td>82</td>\n",
       "      <td>82</td>\n",
       "      <td>82</td>\n",
       "      <td>82</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>M5E</th>\n",
       "      <th>Downtown Toronto</th>\n",
       "      <th>Berczy Park</th>\n",
       "      <td>57</td>\n",
       "      <td>57</td>\n",
       "      <td>57</td>\n",
       "      <td>57</td>\n",
       "      <td>57</td>\n",
       "      <td>57</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>M5G</th>\n",
       "      <th>Downtown Toronto</th>\n",
       "      <th>Central Bay Street</th>\n",
       "      <td>63</td>\n",
       "      <td>63</td>\n",
       "      <td>63</td>\n",
       "      <td>63</td>\n",
       "      <td>63</td>\n",
       "      <td>63</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>M5H</th>\n",
       "      <th>Downtown Toronto</th>\n",
       "      <th>Richmond, Adelaide, King</th>\n",
       "      <td>94</td>\n",
       "      <td>94</td>\n",
       "      <td>94</td>\n",
       "      <td>94</td>\n",
       "      <td>94</td>\n",
       "      <td>94</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>M5J</th>\n",
       "      <th>Downtown Toronto</th>\n",
       "      <th>Harbourfront East, Union Station, Toronto Islands</th>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>M5K</th>\n",
       "      <th>Downtown Toronto</th>\n",
       "      <th>Toronto Dominion Centre, Design Exchange</th>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>M5L</th>\n",
       "      <th>Downtown Toronto</th>\n",
       "      <th>Commerce Court, Victoria Hotel</th>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>M5N</th>\n",
       "      <th>Central Toronto</th>\n",
       "      <th>Roselawn</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>M5P</th>\n",
       "      <th>Central Toronto</th>\n",
       "      <th>Forest Hill North &amp; West</th>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>M5R</th>\n",
       "      <th>Central Toronto</th>\n",
       "      <th>The Annex, North Midtown, Yorkville</th>\n",
       "      <td>23</td>\n",
       "      <td>23</td>\n",
       "      <td>23</td>\n",
       "      <td>23</td>\n",
       "      <td>23</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>M5S</th>\n",
       "      <th>Downtown Toronto</th>\n",
       "      <th>University of Toronto, Harbord</th>\n",
       "      <td>34</td>\n",
       "      <td>34</td>\n",
       "      <td>34</td>\n",
       "      <td>34</td>\n",
       "      <td>34</td>\n",
       "      <td>34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>M5T</th>\n",
       "      <th>Downtown Toronto</th>\n",
       "      <th>Kensington Market, Chinatown, Grange Park</th>\n",
       "      <td>58</td>\n",
       "      <td>58</td>\n",
       "      <td>58</td>\n",
       "      <td>58</td>\n",
       "      <td>58</td>\n",
       "      <td>58</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>M5V</th>\n",
       "      <th>Downtown Toronto</th>\n",
       "      <th>CN Tower, King and Spadina, Railway Lands, Harbourfront West, Bathurst Quay, South Niagara, Island airport</th>\n",
       "      <td>18</td>\n",
       "      <td>18</td>\n",
       "      <td>18</td>\n",
       "      <td>18</td>\n",
       "      <td>18</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>M5W</th>\n",
       "      <th>Downtown Toronto</th>\n",
       "      <th>Stn A PO Boxes</th>\n",
       "      <td>96</td>\n",
       "      <td>96</td>\n",
       "      <td>96</td>\n",
       "      <td>96</td>\n",
       "      <td>96</td>\n",
       "      <td>96</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>M5X</th>\n",
       "      <th>Downtown Toronto</th>\n",
       "      <th>First Canadian Place, Underground city</th>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>M6G</th>\n",
       "      <th>Downtown Toronto</th>\n",
       "      <th>Christie</th>\n",
       "      <td>18</td>\n",
       "      <td>18</td>\n",
       "      <td>18</td>\n",
       "      <td>18</td>\n",
       "      <td>18</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>M6H</th>\n",
       "      <th>West Toronto</th>\n",
       "      <th>Dufferin, Dovercourt Village</th>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>M6J</th>\n",
       "      <th>West Toronto</th>\n",
       "      <th>Little Portugal, Trinity</th>\n",
       "      <td>41</td>\n",
       "      <td>41</td>\n",
       "      <td>41</td>\n",
       "      <td>41</td>\n",
       "      <td>41</td>\n",
       "      <td>41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>M6K</th>\n",
       "      <th>West Toronto</th>\n",
       "      <th>Brockton, Parkdale Village, Exhibition Place</th>\n",
       "      <td>22</td>\n",
       "      <td>22</td>\n",
       "      <td>22</td>\n",
       "      <td>22</td>\n",
       "      <td>22</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>M6P</th>\n",
       "      <th>West Toronto</th>\n",
       "      <th>High Park, The Junction South</th>\n",
       "      <td>22</td>\n",
       "      <td>22</td>\n",
       "      <td>22</td>\n",
       "      <td>22</td>\n",
       "      <td>22</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>M6R</th>\n",
       "      <th>West Toronto</th>\n",
       "      <th>Parkdale, Roncesvalles</th>\n",
       "      <td>13</td>\n",
       "      <td>13</td>\n",
       "      <td>13</td>\n",
       "      <td>13</td>\n",
       "      <td>13</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>M6S</th>\n",
       "      <th>West Toronto</th>\n",
       "      <th>Runnymede, Swansea</th>\n",
       "      <td>37</td>\n",
       "      <td>37</td>\n",
       "      <td>37</td>\n",
       "      <td>37</td>\n",
       "      <td>37</td>\n",
       "      <td>37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>M7A</th>\n",
       "      <th>Downtown Toronto</th>\n",
       "      <th>Queen's Park, Ontario Provincial Government</th>\n",
       "      <td>40</td>\n",
       "      <td>40</td>\n",
       "      <td>40</td>\n",
       "      <td>40</td>\n",
       "      <td>40</td>\n",
       "      <td>40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>M7Y</th>\n",
       "      <th>East Toronto</th>\n",
       "      <th>Business reply mail Processing CentrE</th>\n",
       "      <td>18</td>\n",
       "      <td>18</td>\n",
       "      <td>18</td>\n",
       "      <td>18</td>\n",
       "      <td>18</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                                                 Borough Latitude  \\\n",
       "Postal code Borough          Neighborhood                                                           \n",
       "M4E         East Toronto     The Beaches                                                        4   \n",
       "M4K         East Toronto     The Danforth West, Riverdale                                      43   \n",
       "M4L         East Toronto     India Bazaar, The Beaches West                                    18   \n",
       "M4M         East Toronto     Studio District                                                   40   \n",
       "M4N         Central Toronto  Lawrence Park                                                      4   \n",
       "M4P         Central Toronto  Davisville North                                                   6   \n",
       "M4R         Central Toronto  North Toronto West                                                21   \n",
       "M4S         Central Toronto  Davisville                                                        33   \n",
       "M4T         Central Toronto  Moore Park, Summerhill East                                        2   \n",
       "M4V         Central Toronto  Summerhill West, Rathnelly, South Hill, Forest ...                16   \n",
       "M4W         Downtown Toronto Rosedale                                                           4   \n",
       "M4X         Downtown Toronto St. James Town, Cabbagetown                                       43   \n",
       "M4Y         Downtown Toronto Church and Wellesley                                              72   \n",
       "M5A         Downtown Toronto Regent Park, Harbourfront                                         48   \n",
       "M5B         Downtown Toronto Garden District, Ryerson                                         100   \n",
       "M5C         Downtown Toronto St. James Town                                                    82   \n",
       "M5E         Downtown Toronto Berczy Park                                                       57   \n",
       "M5G         Downtown Toronto Central Bay Street                                                63   \n",
       "M5H         Downtown Toronto Richmond, Adelaide, King                                          94   \n",
       "M5J         Downtown Toronto Harbourfront East, Union Station, Toronto Islands                100   \n",
       "M5K         Downtown Toronto Toronto Dominion Centre, Design Exchange                         100   \n",
       "M5L         Downtown Toronto Commerce Court, Victoria Hotel                                   100   \n",
       "M5N         Central Toronto  Roselawn                                                           1   \n",
       "M5P         Central Toronto  Forest Hill North & West                                           5   \n",
       "M5R         Central Toronto  The Annex, North Midtown, Yorkville                               23   \n",
       "M5S         Downtown Toronto University of Toronto, Harbord                                    34   \n",
       "M5T         Downtown Toronto Kensington Market, Chinatown, Grange Park                         58   \n",
       "M5V         Downtown Toronto CN Tower, King and Spadina, Railway Lands, Harb...                18   \n",
       "M5W         Downtown Toronto Stn A PO Boxes                                                    96   \n",
       "M5X         Downtown Toronto First Canadian Place, Underground city                           100   \n",
       "M6G         Downtown Toronto Christie                                                          18   \n",
       "M6H         West Toronto     Dufferin, Dovercourt Village                                      16   \n",
       "M6J         West Toronto     Little Portugal, Trinity                                          41   \n",
       "M6K         West Toronto     Brockton, Parkdale Village, Exhibition Place                      22   \n",
       "M6P         West Toronto     High Park, The Junction South                                     22   \n",
       "M6R         West Toronto     Parkdale, Roncesvalles                                            13   \n",
       "M6S         West Toronto     Runnymede, Swansea                                                37   \n",
       "M7A         Downtown Toronto Queen's Park, Ontario Provincial Government                       40   \n",
       "M7Y         East Toronto     Business reply mail Processing CentrE                             18   \n",
       "\n",
       "                                                                                 Borough Longitude  \\\n",
       "Postal code Borough          Neighborhood                                                            \n",
       "M4E         East Toronto     The Beaches                                                         4   \n",
       "M4K         East Toronto     The Danforth West, Riverdale                                       43   \n",
       "M4L         East Toronto     India Bazaar, The Beaches West                                     18   \n",
       "M4M         East Toronto     Studio District                                                    40   \n",
       "M4N         Central Toronto  Lawrence Park                                                       4   \n",
       "M4P         Central Toronto  Davisville North                                                    6   \n",
       "M4R         Central Toronto  North Toronto West                                                 21   \n",
       "M4S         Central Toronto  Davisville                                                         33   \n",
       "M4T         Central Toronto  Moore Park, Summerhill East                                         2   \n",
       "M4V         Central Toronto  Summerhill West, Rathnelly, South Hill, Forest ...                 16   \n",
       "M4W         Downtown Toronto Rosedale                                                            4   \n",
       "M4X         Downtown Toronto St. James Town, Cabbagetown                                        43   \n",
       "M4Y         Downtown Toronto Church and Wellesley                                               72   \n",
       "M5A         Downtown Toronto Regent Park, Harbourfront                                          48   \n",
       "M5B         Downtown Toronto Garden District, Ryerson                                          100   \n",
       "M5C         Downtown Toronto St. James Town                                                     82   \n",
       "M5E         Downtown Toronto Berczy Park                                                        57   \n",
       "M5G         Downtown Toronto Central Bay Street                                                 63   \n",
       "M5H         Downtown Toronto Richmond, Adelaide, King                                           94   \n",
       "M5J         Downtown Toronto Harbourfront East, Union Station, Toronto Islands                 100   \n",
       "M5K         Downtown Toronto Toronto Dominion Centre, Design Exchange                          100   \n",
       "M5L         Downtown Toronto Commerce Court, Victoria Hotel                                    100   \n",
       "M5N         Central Toronto  Roselawn                                                            1   \n",
       "M5P         Central Toronto  Forest Hill North & West                                            5   \n",
       "M5R         Central Toronto  The Annex, North Midtown, Yorkville                                23   \n",
       "M5S         Downtown Toronto University of Toronto, Harbord                                     34   \n",
       "M5T         Downtown Toronto Kensington Market, Chinatown, Grange Park                          58   \n",
       "M5V         Downtown Toronto CN Tower, King and Spadina, Railway Lands, Harb...                 18   \n",
       "M5W         Downtown Toronto Stn A PO Boxes                                                     96   \n",
       "M5X         Downtown Toronto First Canadian Place, Underground city                            100   \n",
       "M6G         Downtown Toronto Christie                                                           18   \n",
       "M6H         West Toronto     Dufferin, Dovercourt Village                                       16   \n",
       "M6J         West Toronto     Little Portugal, Trinity                                           41   \n",
       "M6K         West Toronto     Brockton, Parkdale Village, Exhibition Place                       22   \n",
       "M6P         West Toronto     High Park, The Junction South                                      22   \n",
       "M6R         West Toronto     Parkdale, Roncesvalles                                             13   \n",
       "M6S         West Toronto     Runnymede, Swansea                                                 37   \n",
       "M7A         Downtown Toronto Queen's Park, Ontario Provincial Government                        40   \n",
       "M7Y         East Toronto     Business reply mail Processing CentrE                              18   \n",
       "\n",
       "                                                                                 Venue  \\\n",
       "Postal code Borough          Neighborhood                                                \n",
       "M4E         East Toronto     The Beaches                                             4   \n",
       "M4K         East Toronto     The Danforth West, Riverdale                           43   \n",
       "M4L         East Toronto     India Bazaar, The Beaches West                         18   \n",
       "M4M         East Toronto     Studio District                                        40   \n",
       "M4N         Central Toronto  Lawrence Park                                           4   \n",
       "M4P         Central Toronto  Davisville North                                        6   \n",
       "M4R         Central Toronto  North Toronto West                                     21   \n",
       "M4S         Central Toronto  Davisville                                             33   \n",
       "M4T         Central Toronto  Moore Park, Summerhill East                             2   \n",
       "M4V         Central Toronto  Summerhill West, Rathnelly, South Hill, Forest ...     16   \n",
       "M4W         Downtown Toronto Rosedale                                                4   \n",
       "M4X         Downtown Toronto St. James Town, Cabbagetown                            43   \n",
       "M4Y         Downtown Toronto Church and Wellesley                                   72   \n",
       "M5A         Downtown Toronto Regent Park, Harbourfront                              48   \n",
       "M5B         Downtown Toronto Garden District, Ryerson                              100   \n",
       "M5C         Downtown Toronto St. James Town                                         82   \n",
       "M5E         Downtown Toronto Berczy Park                                            57   \n",
       "M5G         Downtown Toronto Central Bay Street                                     63   \n",
       "M5H         Downtown Toronto Richmond, Adelaide, King                               94   \n",
       "M5J         Downtown Toronto Harbourfront East, Union Station, Toronto Islands     100   \n",
       "M5K         Downtown Toronto Toronto Dominion Centre, Design Exchange              100   \n",
       "M5L         Downtown Toronto Commerce Court, Victoria Hotel                        100   \n",
       "M5N         Central Toronto  Roselawn                                                1   \n",
       "M5P         Central Toronto  Forest Hill North & West                                5   \n",
       "M5R         Central Toronto  The Annex, North Midtown, Yorkville                    23   \n",
       "M5S         Downtown Toronto University of Toronto, Harbord                         34   \n",
       "M5T         Downtown Toronto Kensington Market, Chinatown, Grange Park              58   \n",
       "M5V         Downtown Toronto CN Tower, King and Spadina, Railway Lands, Harb...     18   \n",
       "M5W         Downtown Toronto Stn A PO Boxes                                         96   \n",
       "M5X         Downtown Toronto First Canadian Place, Underground city                100   \n",
       "M6G         Downtown Toronto Christie                                               18   \n",
       "M6H         West Toronto     Dufferin, Dovercourt Village                           16   \n",
       "M6J         West Toronto     Little Portugal, Trinity                               41   \n",
       "M6K         West Toronto     Brockton, Parkdale Village, Exhibition Place           22   \n",
       "M6P         West Toronto     High Park, The Junction South                          22   \n",
       "M6R         West Toronto     Parkdale, Roncesvalles                                 13   \n",
       "M6S         West Toronto     Runnymede, Swansea                                     37   \n",
       "M7A         Downtown Toronto Queen's Park, Ontario Provincial Government            40   \n",
       "M7Y         East Toronto     Business reply mail Processing CentrE                  18   \n",
       "\n",
       "                                                                                 Venue Latitude  \\\n",
       "Postal code Borough          Neighborhood                                                         \n",
       "M4E         East Toronto     The Beaches                                                      4   \n",
       "M4K         East Toronto     The Danforth West, Riverdale                                    43   \n",
       "M4L         East Toronto     India Bazaar, The Beaches West                                  18   \n",
       "M4M         East Toronto     Studio District                                                 40   \n",
       "M4N         Central Toronto  Lawrence Park                                                    4   \n",
       "M4P         Central Toronto  Davisville North                                                 6   \n",
       "M4R         Central Toronto  North Toronto West                                              21   \n",
       "M4S         Central Toronto  Davisville                                                      33   \n",
       "M4T         Central Toronto  Moore Park, Summerhill East                                      2   \n",
       "M4V         Central Toronto  Summerhill West, Rathnelly, South Hill, Forest ...              16   \n",
       "M4W         Downtown Toronto Rosedale                                                         4   \n",
       "M4X         Downtown Toronto St. James Town, Cabbagetown                                     43   \n",
       "M4Y         Downtown Toronto Church and Wellesley                                            72   \n",
       "M5A         Downtown Toronto Regent Park, Harbourfront                                       48   \n",
       "M5B         Downtown Toronto Garden District, Ryerson                                       100   \n",
       "M5C         Downtown Toronto St. James Town                                                  82   \n",
       "M5E         Downtown Toronto Berczy Park                                                     57   \n",
       "M5G         Downtown Toronto Central Bay Street                                              63   \n",
       "M5H         Downtown Toronto Richmond, Adelaide, King                                        94   \n",
       "M5J         Downtown Toronto Harbourfront East, Union Station, Toronto Islands              100   \n",
       "M5K         Downtown Toronto Toronto Dominion Centre, Design Exchange                       100   \n",
       "M5L         Downtown Toronto Commerce Court, Victoria Hotel                                 100   \n",
       "M5N         Central Toronto  Roselawn                                                         1   \n",
       "M5P         Central Toronto  Forest Hill North & West                                         5   \n",
       "M5R         Central Toronto  The Annex, North Midtown, Yorkville                             23   \n",
       "M5S         Downtown Toronto University of Toronto, Harbord                                  34   \n",
       "M5T         Downtown Toronto Kensington Market, Chinatown, Grange Park                       58   \n",
       "M5V         Downtown Toronto CN Tower, King and Spadina, Railway Lands, Harb...              18   \n",
       "M5W         Downtown Toronto Stn A PO Boxes                                                  96   \n",
       "M5X         Downtown Toronto First Canadian Place, Underground city                         100   \n",
       "M6G         Downtown Toronto Christie                                                        18   \n",
       "M6H         West Toronto     Dufferin, Dovercourt Village                                    16   \n",
       "M6J         West Toronto     Little Portugal, Trinity                                        41   \n",
       "M6K         West Toronto     Brockton, Parkdale Village, Exhibition Place                    22   \n",
       "M6P         West Toronto     High Park, The Junction South                                   22   \n",
       "M6R         West Toronto     Parkdale, Roncesvalles                                          13   \n",
       "M6S         West Toronto     Runnymede, Swansea                                              37   \n",
       "M7A         Downtown Toronto Queen's Park, Ontario Provincial Government                     40   \n",
       "M7Y         East Toronto     Business reply mail Processing CentrE                           18   \n",
       "\n",
       "                                                                                 Venue Longitude  \\\n",
       "Postal code Borough          Neighborhood                                                          \n",
       "M4E         East Toronto     The Beaches                                                       4   \n",
       "M4K         East Toronto     The Danforth West, Riverdale                                     43   \n",
       "M4L         East Toronto     India Bazaar, The Beaches West                                   18   \n",
       "M4M         East Toronto     Studio District                                                  40   \n",
       "M4N         Central Toronto  Lawrence Park                                                     4   \n",
       "M4P         Central Toronto  Davisville North                                                  6   \n",
       "M4R         Central Toronto  North Toronto West                                               21   \n",
       "M4S         Central Toronto  Davisville                                                       33   \n",
       "M4T         Central Toronto  Moore Park, Summerhill East                                       2   \n",
       "M4V         Central Toronto  Summerhill West, Rathnelly, South Hill, Forest ...               16   \n",
       "M4W         Downtown Toronto Rosedale                                                          4   \n",
       "M4X         Downtown Toronto St. James Town, Cabbagetown                                      43   \n",
       "M4Y         Downtown Toronto Church and Wellesley                                             72   \n",
       "M5A         Downtown Toronto Regent Park, Harbourfront                                        48   \n",
       "M5B         Downtown Toronto Garden District, Ryerson                                        100   \n",
       "M5C         Downtown Toronto St. James Town                                                   82   \n",
       "M5E         Downtown Toronto Berczy Park                                                      57   \n",
       "M5G         Downtown Toronto Central Bay Street                                               63   \n",
       "M5H         Downtown Toronto Richmond, Adelaide, King                                         94   \n",
       "M5J         Downtown Toronto Harbourfront East, Union Station, Toronto Islands               100   \n",
       "M5K         Downtown Toronto Toronto Dominion Centre, Design Exchange                        100   \n",
       "M5L         Downtown Toronto Commerce Court, Victoria Hotel                                  100   \n",
       "M5N         Central Toronto  Roselawn                                                          1   \n",
       "M5P         Central Toronto  Forest Hill North & West                                          5   \n",
       "M5R         Central Toronto  The Annex, North Midtown, Yorkville                              23   \n",
       "M5S         Downtown Toronto University of Toronto, Harbord                                   34   \n",
       "M5T         Downtown Toronto Kensington Market, Chinatown, Grange Park                        58   \n",
       "M5V         Downtown Toronto CN Tower, King and Spadina, Railway Lands, Harb...               18   \n",
       "M5W         Downtown Toronto Stn A PO Boxes                                                   96   \n",
       "M5X         Downtown Toronto First Canadian Place, Underground city                          100   \n",
       "M6G         Downtown Toronto Christie                                                         18   \n",
       "M6H         West Toronto     Dufferin, Dovercourt Village                                     16   \n",
       "M6J         West Toronto     Little Portugal, Trinity                                         41   \n",
       "M6K         West Toronto     Brockton, Parkdale Village, Exhibition Place                     22   \n",
       "M6P         West Toronto     High Park, The Junction South                                    22   \n",
       "M6R         West Toronto     Parkdale, Roncesvalles                                           13   \n",
       "M6S         West Toronto     Runnymede, Swansea                                               37   \n",
       "M7A         Downtown Toronto Queen's Park, Ontario Provincial Government                      40   \n",
       "M7Y         East Toronto     Business reply mail Processing CentrE                            18   \n",
       "\n",
       "                                                                                 Venue Category  \n",
       "Postal code Borough          Neighborhood                                                        \n",
       "M4E         East Toronto     The Beaches                                                      4  \n",
       "M4K         East Toronto     The Danforth West, Riverdale                                    43  \n",
       "M4L         East Toronto     India Bazaar, The Beaches West                                  18  \n",
       "M4M         East Toronto     Studio District                                                 40  \n",
       "M4N         Central Toronto  Lawrence Park                                                    4  \n",
       "M4P         Central Toronto  Davisville North                                                 6  \n",
       "M4R         Central Toronto  North Toronto West                                              21  \n",
       "M4S         Central Toronto  Davisville                                                      33  \n",
       "M4T         Central Toronto  Moore Park, Summerhill East                                      2  \n",
       "M4V         Central Toronto  Summerhill West, Rathnelly, South Hill, Forest ...              16  \n",
       "M4W         Downtown Toronto Rosedale                                                         4  \n",
       "M4X         Downtown Toronto St. James Town, Cabbagetown                                     43  \n",
       "M4Y         Downtown Toronto Church and Wellesley                                            72  \n",
       "M5A         Downtown Toronto Regent Park, Harbourfront                                       48  \n",
       "M5B         Downtown Toronto Garden District, Ryerson                                       100  \n",
       "M5C         Downtown Toronto St. James Town                                                  82  \n",
       "M5E         Downtown Toronto Berczy Park                                                     57  \n",
       "M5G         Downtown Toronto Central Bay Street                                              63  \n",
       "M5H         Downtown Toronto Richmond, Adelaide, King                                        94  \n",
       "M5J         Downtown Toronto Harbourfront East, Union Station, Toronto Islands              100  \n",
       "M5K         Downtown Toronto Toronto Dominion Centre, Design Exchange                       100  \n",
       "M5L         Downtown Toronto Commerce Court, Victoria Hotel                                 100  \n",
       "M5N         Central Toronto  Roselawn                                                         1  \n",
       "M5P         Central Toronto  Forest Hill North & West                                         5  \n",
       "M5R         Central Toronto  The Annex, North Midtown, Yorkville                             23  \n",
       "M5S         Downtown Toronto University of Toronto, Harbord                                  34  \n",
       "M5T         Downtown Toronto Kensington Market, Chinatown, Grange Park                       58  \n",
       "M5V         Downtown Toronto CN Tower, King and Spadina, Railway Lands, Harb...              18  \n",
       "M5W         Downtown Toronto Stn A PO Boxes                                                  96  \n",
       "M5X         Downtown Toronto First Canadian Place, Underground city                         100  \n",
       "M6G         Downtown Toronto Christie                                                        18  \n",
       "M6H         West Toronto     Dufferin, Dovercourt Village                                    16  \n",
       "M6J         West Toronto     Little Portugal, Trinity                                        41  \n",
       "M6K         West Toronto     Brockton, Parkdale Village, Exhibition Place                    22  \n",
       "M6P         West Toronto     High Park, The Junction South                                   22  \n",
       "M6R         West Toronto     Parkdale, Roncesvalles                                          13  \n",
       "M6S         West Toronto     Runnymede, Swansea                                              37  \n",
       "M7A         Downtown Toronto Queen's Park, Ontario Provincial Government                     40  \n",
       "M7Y         East Toronto     Business reply mail Processing CentrE                           18  "
      ]
     },
     "execution_count": 140,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "venues.groupby([\"Postal code\", \"Borough\", \"Neighborhood\"]).count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 141,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "There are 231 uniques categories.\n"
     ]
    }
   ],
   "source": [
    "print('There are {} uniques categories.'.format(len(venues['Venue Category'].unique())))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Venues in each borough according to various categories"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 142,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Postal code</th>\n",
       "      <th>Borough</th>\n",
       "      <th>Neighborhood</th>\n",
       "      <th>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>Toy / Game Store</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>Wine Bar</th>\n",
       "      <th>Wine Shop</th>\n",
       "      <th>Women's Store</th>\n",
       "      <th>Yoga Studio</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>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>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>M4E</td>\n",
       "      <td>East Toronto</td>\n",
       "      <td>The Beaches</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>M4E</td>\n",
       "      <td>East Toronto</td>\n",
       "      <td>The Beaches</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>M4E</td>\n",
       "      <td>East Toronto</td>\n",
       "      <td>The Beaches</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>M4K</td>\n",
       "      <td>East Toronto</td>\n",
       "      <td>The Danforth West, Riverdale</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 × 234 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "  Postal code       Borough                  Neighborhood  Airport  \\\n",
       "0         M4E  East Toronto                   The Beaches        0   \n",
       "1         M4E  East Toronto                   The Beaches        0   \n",
       "2         M4E  East Toronto                   The Beaches        0   \n",
       "3         M4E  East Toronto                   The Beaches        0   \n",
       "4         M4K  East Toronto  The Danforth West, Riverdale        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  ...  Toy / Game Store  Trail  \\\n",
       "0                 0                    0  ...                 0      1   \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",
       "   Train Station  Vegetarian / Vegan Restaurant  Video Game Store  \\\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",
       "   Vietnamese Restaurant  Wine Bar  Wine Shop  Women's Store  Yoga Studio  \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 234 columns]"
      ]
     },
     "execution_count": 142,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "toronto_onehot = pd.get_dummies(venues[['Venue Category']], prefix=\"\", prefix_sep=\"\")\n",
    "toronto_onehot['Postal code'] = venues['Postal code'] \n",
    "toronto_onehot['Borough'] = venues['Borough'] \n",
    "toronto_onehot['Neighborhood'] = venues['Neighborhood']\n",
    "fixed_columns = list(toronto_onehot.columns[-3:]) + list(toronto_onehot.columns[:-3])\n",
    "toronto_onehot = toronto_onehot[fixed_columns]\n",
    "toronto_onehot.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 143,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1612, 234)"
      ]
     },
     "execution_count": 143,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "toronto_onehot.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Mean for all venues according to neighbourhood calculated"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 144,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Postal code</th>\n",
       "      <th>Borough</th>\n",
       "      <th>Neighborhood</th>\n",
       "      <th>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>Toy / Game Store</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>Wine Bar</th>\n",
       "      <th>Wine Shop</th>\n",
       "      <th>Women's Store</th>\n",
       "      <th>Yoga Studio</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>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.250000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</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>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.023256</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.023256</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.023256</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>M4L</td>\n",
       "      <td>East Toronto</td>\n",
       "      <td>India Bazaar, The Beaches West</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</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>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.050000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.025000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.025000</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>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</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>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</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>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.047619</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>M4S</td>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>Davisville</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.030303</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</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>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>M4V</td>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>Summerhill West, Rathnelly, South Hill, Forest...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.062500</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.062500</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>M4W</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Rosedale</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.250000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>M4X</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>St. James Town, Cabbagetown</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.023256</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</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>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.013889</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.027778</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>M5A</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Regent Park, Harbourfront</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.020833</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.020833</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>M5B</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Garden District, Ryerson</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</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>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.036585</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.012195</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.012195</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</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>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.017544</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</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>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.015873</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.015873</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>M5H</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Richmond, Adelaide, King</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.031915</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.010638</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010638</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>M5J</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Harbourfront East, Union Station, Toronto Islands</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>M5K</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Toronto Dominion Centre, Design Exchange</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.030000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</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>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.040000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>M5N</td>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>Roselawn</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>M5P</td>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>Forest Hill North &amp; West</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.200000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</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>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.043478</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.043478</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>M5S</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>University of Toronto, Harbord</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.029412</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.029412</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>M5T</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Kensington Market, Chinatown, Grange Park</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.034483</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.051724</td>\n",
       "      <td>0.017241</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>M5V</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>CN Tower, King and Spadina, Railway Lands, Har...</td>\n",
       "      <td>0.055556</td>\n",
       "      <td>0.055556</td>\n",
       "      <td>0.055556</td>\n",
       "      <td>0.111111</td>\n",
       "      <td>0.166667</td>\n",
       "      <td>0.111111</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>M5W</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Stn A PO Boxes</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010417</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.010417</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010417</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>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.030000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>M6G</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Christie</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>M6H</td>\n",
       "      <td>West Toronto</td>\n",
       "      <td>Dufferin, Dovercourt Village</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.062500</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</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>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.048780</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.048780</td>\n",
       "      <td>0.024390</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.024390</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>M6K</td>\n",
       "      <td>West Toronto</td>\n",
       "      <td>Brockton, Parkdale Village, Exhibition Place</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</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>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</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>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</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>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.027027</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.027027</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>M7A</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Queen's Park, Ontario Provincial Government</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.025000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>M7Y</td>\n",
       "      <td>East Toronto</td>\n",
       "      <td>Business reply mail Processing CentrE</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.055556</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>39 rows × 234 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   Postal code           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         M7A  Downtown Toronto   \n",
       "38         M7Y      East Toronto   \n",
       "\n",
       "                                         Neighborhood   Airport  \\\n",
       "0                                         The Beaches  0.000000   \n",
       "1                        The Danforth West, Riverdale  0.000000   \n",
       "2                      India Bazaar, The Beaches West  0.000000   \n",
       "3                                     Studio District  0.000000   \n",
       "4                                       Lawrence Park  0.000000   \n",
       "5                                    Davisville North  0.000000   \n",
       "6                                  North Toronto West  0.000000   \n",
       "7                                          Davisville  0.000000   \n",
       "8                         Moore Park, Summerhill East  0.000000   \n",
       "9   Summerhill West, Rathnelly, South Hill, Forest...  0.000000   \n",
       "10                                           Rosedale  0.000000   \n",
       "11                        St. James Town, Cabbagetown  0.000000   \n",
       "12                               Church and Wellesley  0.000000   \n",
       "13                          Regent Park, Harbourfront  0.000000   \n",
       "14                           Garden District, Ryerson  0.000000   \n",
       "15                                     St. James Town  0.000000   \n",
       "16                                        Berczy Park  0.000000   \n",
       "17                                 Central Bay Street  0.000000   \n",
       "18                           Richmond, Adelaide, King  0.000000   \n",
       "19  Harbourfront East, Union Station, Toronto Islands  0.000000   \n",
       "20           Toronto Dominion Centre, Design Exchange  0.000000   \n",
       "21                     Commerce Court, Victoria Hotel  0.000000   \n",
       "22                                           Roselawn  0.000000   \n",
       "23                           Forest Hill North & West  0.000000   \n",
       "24                The Annex, North Midtown, Yorkville  0.000000   \n",
       "25                     University of Toronto, Harbord  0.000000   \n",
       "26          Kensington Market, Chinatown, Grange Park  0.000000   \n",
       "27  CN Tower, King and Spadina, Railway Lands, Har...  0.055556   \n",
       "28                                     Stn A PO Boxes  0.000000   \n",
       "29             First Canadian Place, Underground city  0.000000   \n",
       "30                                           Christie  0.000000   \n",
       "31                       Dufferin, Dovercourt Village  0.000000   \n",
       "32                           Little Portugal, Trinity  0.000000   \n",
       "33       Brockton, Parkdale Village, Exhibition Place  0.000000   \n",
       "34                      High Park, The Junction South  0.000000   \n",
       "35                             Parkdale, Roncesvalles  0.000000   \n",
       "36                                 Runnymede, Swansea  0.000000   \n",
       "37        Queen's Park, Ontario Provincial Government  0.000000   \n",
       "38              Business reply mail Processing CentrE  0.000000   \n",
       "\n",
       "    Airport Food Court  Airport Gate  Airport Lounge  Airport Service  \\\n",
       "0             0.000000      0.000000        0.000000         0.000000   \n",
       "1             0.000000      0.000000        0.000000         0.000000   \n",
       "2             0.000000      0.000000        0.000000         0.000000   \n",
       "3             0.000000      0.000000        0.000000         0.000000   \n",
       "4             0.000000      0.000000        0.000000         0.000000   \n",
       "5             0.000000      0.000000        0.000000         0.000000   \n",
       "6             0.000000      0.000000        0.000000         0.000000   \n",
       "7             0.000000      0.000000        0.000000         0.000000   \n",
       "8             0.000000      0.000000        0.000000         0.000000   \n",
       "9             0.000000      0.000000        0.000000         0.000000   \n",
       "10            0.000000      0.000000        0.000000         0.000000   \n",
       "11            0.000000      0.000000        0.000000         0.000000   \n",
       "12            0.000000      0.000000        0.000000         0.000000   \n",
       "13            0.000000      0.000000        0.000000         0.000000   \n",
       "14            0.000000      0.000000        0.000000         0.000000   \n",
       "15            0.000000      0.000000        0.000000         0.000000   \n",
       "16            0.000000      0.000000        0.000000         0.000000   \n",
       "17            0.000000      0.000000        0.000000         0.000000   \n",
       "18            0.000000      0.000000        0.000000         0.000000   \n",
       "19            0.000000      0.000000        0.000000         0.000000   \n",
       "20            0.000000      0.000000        0.000000         0.000000   \n",
       "21            0.000000      0.000000        0.000000         0.000000   \n",
       "22            0.000000      0.000000        0.000000         0.000000   \n",
       "23            0.000000      0.000000        0.000000         0.000000   \n",
       "24            0.000000      0.000000        0.000000         0.000000   \n",
       "25            0.000000      0.000000        0.000000         0.000000   \n",
       "26            0.000000      0.000000        0.000000         0.000000   \n",
       "27            0.055556      0.055556        0.111111         0.166667   \n",
       "28            0.000000      0.000000        0.000000         0.000000   \n",
       "29            0.000000      0.000000        0.000000         0.000000   \n",
       "30            0.000000      0.000000        0.000000         0.000000   \n",
       "31            0.000000      0.000000        0.000000         0.000000   \n",
       "32            0.000000      0.000000        0.000000         0.000000   \n",
       "33            0.000000      0.000000        0.000000         0.000000   \n",
       "34            0.000000      0.000000        0.000000         0.000000   \n",
       "35            0.000000      0.000000        0.000000         0.000000   \n",
       "36            0.000000      0.000000        0.000000         0.000000   \n",
       "37            0.000000      0.000000        0.000000         0.000000   \n",
       "38            0.000000      0.000000        0.000000         0.000000   \n",
       "\n",
       "    Airport Terminal  American Restaurant  ...  Toy / Game Store     Trail  \\\n",
       "0           0.000000             0.000000  ...          0.000000  0.250000   \n",
       "1           0.000000             0.023256  ...          0.000000  0.023256   \n",
       "2           0.000000             0.000000  ...          0.000000  0.000000   \n",
       "3           0.000000             0.050000  ...          0.000000  0.000000   \n",
       "4           0.000000             0.000000  ...          0.000000  0.000000   \n",
       "5           0.000000             0.000000  ...          0.000000  0.000000   \n",
       "6           0.000000             0.000000  ...          0.000000  0.000000   \n",
       "7           0.000000             0.000000  ...          0.030303  0.000000   \n",
       "8           0.000000             0.000000  ...          0.000000  0.000000   \n",
       "9           0.000000             0.062500  ...          0.000000  0.000000   \n",
       "10          0.000000             0.000000  ...          0.000000  0.250000   \n",
       "11          0.000000             0.023256  ...          0.000000  0.000000   \n",
       "12          0.000000             0.013889  ...          0.000000  0.000000   \n",
       "13          0.000000             0.000000  ...          0.000000  0.000000   \n",
       "14          0.000000             0.010000  ...          0.000000  0.000000   \n",
       "15          0.000000             0.036585  ...          0.000000  0.000000   \n",
       "16          0.000000             0.000000  ...          0.000000  0.000000   \n",
       "17          0.000000             0.000000  ...          0.000000  0.000000   \n",
       "18          0.000000             0.031915  ...          0.000000  0.000000   \n",
       "19          0.000000             0.000000  ...          0.000000  0.000000   \n",
       "20          0.000000             0.030000  ...          0.000000  0.000000   \n",
       "21          0.000000             0.040000  ...          0.000000  0.000000   \n",
       "22          0.000000             0.000000  ...          0.000000  0.000000   \n",
       "23          0.000000             0.000000  ...          0.000000  0.200000   \n",
       "24          0.000000             0.043478  ...          0.000000  0.000000   \n",
       "25          0.000000             0.000000  ...          0.000000  0.000000   \n",
       "26          0.000000             0.000000  ...          0.000000  0.000000   \n",
       "27          0.111111             0.000000  ...          0.000000  0.000000   \n",
       "28          0.000000             0.010417  ...          0.000000  0.000000   \n",
       "29          0.000000             0.030000  ...          0.000000  0.000000   \n",
       "30          0.000000             0.000000  ...          0.000000  0.000000   \n",
       "31          0.000000             0.000000  ...          0.000000  0.000000   \n",
       "32          0.000000             0.000000  ...          0.000000  0.000000   \n",
       "33          0.000000             0.000000  ...          0.000000  0.000000   \n",
       "34          0.000000             0.000000  ...          0.000000  0.000000   \n",
       "35          0.000000             0.000000  ...          0.000000  0.000000   \n",
       "36          0.000000             0.000000  ...          0.000000  0.000000   \n",
       "37          0.000000             0.000000  ...          0.000000  0.000000   \n",
       "38          0.000000             0.000000  ...          0.000000  0.000000   \n",
       "\n",
       "    Train Station  Vegetarian / Vegan Restaurant  Video Game Store  \\\n",
       "0            0.00                       0.000000          0.000000   \n",
       "1            0.00                       0.000000          0.000000   \n",
       "2            0.00                       0.000000          0.000000   \n",
       "3            0.00                       0.000000          0.000000   \n",
       "4            0.00                       0.000000          0.000000   \n",
       "5            0.00                       0.000000          0.000000   \n",
       "6            0.00                       0.000000          0.000000   \n",
       "7            0.00                       0.000000          0.000000   \n",
       "8            0.00                       0.000000          0.000000   \n",
       "9            0.00                       0.000000          0.000000   \n",
       "10           0.00                       0.000000          0.000000   \n",
       "11           0.00                       0.000000          0.000000   \n",
       "12           0.00                       0.000000          0.000000   \n",
       "13           0.00                       0.000000          0.000000   \n",
       "14           0.00                       0.000000          0.010000   \n",
       "15           0.00                       0.012195          0.000000   \n",
       "16           0.00                       0.017544          0.000000   \n",
       "17           0.00                       0.015873          0.000000   \n",
       "18           0.00                       0.010638          0.000000   \n",
       "19           0.01                       0.010000          0.000000   \n",
       "20           0.01                       0.010000          0.000000   \n",
       "21           0.00                       0.020000          0.000000   \n",
       "22           0.00                       0.000000          0.000000   \n",
       "23           0.00                       0.000000          0.000000   \n",
       "24           0.00                       0.043478          0.000000   \n",
       "25           0.00                       0.000000          0.029412   \n",
       "26           0.00                       0.034483          0.000000   \n",
       "27           0.00                       0.000000          0.000000   \n",
       "28           0.00                       0.010417          0.000000   \n",
       "29           0.01                       0.010000          0.000000   \n",
       "30           0.00                       0.000000          0.000000   \n",
       "31           0.00                       0.000000          0.000000   \n",
       "32           0.00                       0.048780          0.000000   \n",
       "33           0.00                       0.000000          0.000000   \n",
       "34           0.00                       0.000000          0.000000   \n",
       "35           0.00                       0.000000          0.000000   \n",
       "36           0.00                       0.027027          0.000000   \n",
       "37           0.00                       0.000000          0.000000   \n",
       "38           0.00                       0.000000          0.000000   \n",
       "\n",
       "    Vietnamese Restaurant  Wine Bar  Wine Shop  Women's Store  Yoga Studio  \n",
       "0                0.000000  0.000000   0.000000       0.000000     0.000000  \n",
       "1                0.000000  0.000000   0.000000       0.000000     0.023256  \n",
       "2                0.000000  0.000000   0.000000       0.000000     0.000000  \n",
       "3                0.000000  0.025000   0.000000       0.000000     0.025000  \n",
       "4                0.000000  0.000000   0.000000       0.000000     0.000000  \n",
       "5                0.000000  0.000000   0.000000       0.000000     0.000000  \n",
       "6                0.000000  0.000000   0.000000       0.000000     0.047619  \n",
       "7                0.000000  0.000000   0.000000       0.000000     0.000000  \n",
       "8                0.000000  0.000000   0.000000       0.000000     0.000000  \n",
       "9                0.062500  0.000000   0.000000       0.000000     0.000000  \n",
       "10               0.000000  0.000000   0.000000       0.000000     0.000000  \n",
       "11               0.000000  0.000000   0.000000       0.000000     0.000000  \n",
       "12               0.000000  0.000000   0.000000       0.000000     0.027778  \n",
       "13               0.000000  0.000000   0.020833       0.000000     0.020833  \n",
       "14               0.010000  0.000000   0.000000       0.000000     0.000000  \n",
       "15               0.000000  0.012195   0.000000       0.000000     0.000000  \n",
       "16               0.000000  0.000000   0.000000       0.000000     0.000000  \n",
       "17               0.000000  0.000000   0.000000       0.000000     0.015873  \n",
       "18               0.000000  0.000000   0.000000       0.010638     0.000000  \n",
       "19               0.000000  0.010000   0.000000       0.000000     0.000000  \n",
       "20               0.000000  0.010000   0.000000       0.000000     0.000000  \n",
       "21               0.000000  0.010000   0.000000       0.000000     0.000000  \n",
       "22               0.000000  0.000000   0.000000       0.000000     0.000000  \n",
       "23               0.000000  0.000000   0.000000       0.000000     0.000000  \n",
       "24               0.000000  0.000000   0.000000       0.000000     0.000000  \n",
       "25               0.000000  0.000000   0.000000       0.000000     0.029412  \n",
       "26               0.051724  0.017241   0.000000       0.000000     0.000000  \n",
       "27               0.000000  0.000000   0.000000       0.000000     0.000000  \n",
       "28               0.000000  0.000000   0.000000       0.000000     0.010417  \n",
       "29               0.000000  0.010000   0.000000       0.000000     0.000000  \n",
       "30               0.000000  0.000000   0.000000       0.000000     0.000000  \n",
       "31               0.000000  0.000000   0.062500       0.000000     0.000000  \n",
       "32               0.048780  0.024390   0.000000       0.000000     0.024390  \n",
       "33               0.000000  0.000000   0.000000       0.000000     0.000000  \n",
       "34               0.000000  0.000000   0.000000       0.000000     0.000000  \n",
       "35               0.000000  0.000000   0.000000       0.000000     0.000000  \n",
       "36               0.000000  0.000000   0.000000       0.000000     0.027027  \n",
       "37               0.000000  0.000000   0.000000       0.000000     0.025000  \n",
       "38               0.000000  0.000000   0.000000       0.000000     0.055556  \n",
       "\n",
       "[39 rows x 234 columns]"
      ]
     },
     "execution_count": 144,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "toronto_grouped = toronto_onehot.groupby([\"Postal code\", \"Borough\", \"Neighborhood\"]).mean().reset_index()\n",
    "toronto_grouped"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 145,
   "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": "markdown",
   "metadata": {},
   "source": [
    "### Top 10 most common venues for each borough displayed"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 146,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Postal code</th>\n",
       "      <th>Borough</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>M4E</td>\n",
       "      <td>East Toronto</td>\n",
       "      <td>The Beaches</td>\n",
       "      <td>Trail</td>\n",
       "      <td>Community</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Health Food Store</td>\n",
       "      <td>Distribution Center</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Dim Sum Restaurant</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Yoga Studio</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>Greek Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Bookstore</td>\n",
       "      <td>Furniture / Home Store</td>\n",
       "      <td>Ice Cream Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Spa</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Brewery</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>M4L</td>\n",
       "      <td>East Toronto</td>\n",
       "      <td>India Bazaar, The Beaches West</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Fish &amp; Chips Shop</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Brewery</td>\n",
       "      <td>Ice Cream Shop</td>\n",
       "      <td>Liquor Store</td>\n",
       "      <td>Pizza Place</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>Café</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Brewery</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Gastropub</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Comfort Food Restaurant</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Cheese Shop</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>Park</td>\n",
       "      <td>Dim Sum Restaurant</td>\n",
       "      <td>Bus Line</td>\n",
       "      <td>Swim School</td>\n",
       "      <td>Electronics Store</td>\n",
       "      <td>Eastern European Restaurant</td>\n",
       "      <td>Dumpling Restaurant</td>\n",
       "      <td>Donut Shop</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "      <td>Dog Run</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Postal code          Borough                    Neighborhood  \\\n",
       "0         M4E     East Toronto                     The Beaches   \n",
       "1         M4K     East Toronto    The Danforth West, Riverdale   \n",
       "2         M4L     East Toronto  India Bazaar, The Beaches West   \n",
       "3         M4M     East Toronto                 Studio District   \n",
       "4         M4N  Central Toronto                   Lawrence Park   \n",
       "\n",
       "  1st Most Common Venue 2nd Most Common Venue 3rd Most Common Venue  \\\n",
       "0                 Trail             Community                   Pub   \n",
       "1      Greek Restaurant           Coffee Shop    Italian Restaurant   \n",
       "2  Fast Food Restaurant        Sandwich Place                   Gym   \n",
       "3                  Café           Coffee Shop               Brewery   \n",
       "4                  Park    Dim Sum Restaurant              Bus Line   \n",
       "\n",
       "  4th Most Common Venue   5th Most Common Venue        6th Most Common Venue  \\\n",
       "0     Health Food Store     Distribution Center                 Dessert Shop   \n",
       "1             Bookstore  Furniture / Home Store               Ice Cream Shop   \n",
       "2                   Pub       Fish & Chips Shop             Sushi Restaurant   \n",
       "3                Bakery     American Restaurant                    Gastropub   \n",
       "4           Swim School       Electronics Store  Eastern European Restaurant   \n",
       "\n",
       "  7th Most Common Venue    8th Most Common Venue 9th Most Common Venue  \\\n",
       "0    Dim Sum Restaurant                    Diner        Discount Store   \n",
       "1                  Café                      Spa   Japanese Restaurant   \n",
       "2               Brewery           Ice Cream Shop          Liquor Store   \n",
       "3           Yoga Studio  Comfort Food Restaurant        Sandwich Place   \n",
       "4   Dumpling Restaurant               Donut Shop      Doner Restaurant   \n",
       "\n",
       "  10th Most Common Venue  \n",
       "0            Yoga Studio  \n",
       "1                Brewery  \n",
       "2            Pizza Place  \n",
       "3            Cheese Shop  \n",
       "4                Dog Run  "
      ]
     },
     "execution_count": 146,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "num_top_venues = 10\n",
    "\n",
    "indicators = ['st', 'nd', 'rd']\n",
    "\n",
    "# create columns according to number of top venues\n",
    "areaColumns = ['Postal code', 'Borough', 'Neighborhood']\n",
    "freqColumns = []\n",
    "for ind in np.arange(num_top_venues):\n",
    "    try:\n",
    "        freqColumns.append('{}{} Most Common Venue'.format(ind+1, indicators[ind]))\n",
    "    except:\n",
    "        freqColumns.append('{}th Most Common Venue'.format(ind+1))\n",
    "columns = areaColumns+freqColumns\n",
    "\n",
    "# create a new dataframe\n",
    "neighborhoods_venues_sorted = pd.DataFrame(columns=columns)\n",
    "neighborhoods_venues_sorted['Postal code'] = toronto_grouped['Postal code']\n",
    "neighborhoods_venues_sorted['Borough'] = toronto_grouped['Borough']\n",
    "neighborhoods_venues_sorted['Neighborhood'] = toronto_grouped['Neighborhood']\n",
    "\n",
    "for ind in np.arange(toronto_grouped.shape[0]):\n",
    "    row_categories = toronto_grouped.iloc[ind, :].iloc[3:]\n",
    "    row_categories_sorted = row_categories.sort_values(ascending=False)\n",
    "    neighborhoods_venues_sorted.iloc[ind, 3:] = row_categories_sorted.index.values[0:num_top_venues]\n",
    "\n",
    "neighborhoods_venues_sorted.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Clustering"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 147,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0, 2, 2, 2, 0, 2, 2, 2, 3, 2])"
      ]
     },
     "execution_count": 147,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "kclusters = 5\n",
    "toronto_grouped_clustering = toronto_grouped.drop([\"Postal code\", \"Borough\", \"Neighborhood\"], 1)\n",
    "kmeans = KMeans(n_clusters=kclusters, random_state=0).fit(toronto_grouped_clustering)\n",
    "kmeans.labels_[0:10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 148,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Postal code</th>\n",
       "      <th>Borough</th>\n",
       "      <th>Neighborhood</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "      <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>43.676357</td>\n",
       "      <td>-79.293031</td>\n",
       "      <td>0</td>\n",
       "      <td>Trail</td>\n",
       "      <td>Community</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Health Food Store</td>\n",
       "      <td>Distribution Center</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Dim Sum Restaurant</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Yoga Studio</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>M4K</td>\n",
       "      <td>East Toronto</td>\n",
       "      <td>The Danforth West, Riverdale</td>\n",
       "      <td>43.679557</td>\n",
       "      <td>-79.352188</td>\n",
       "      <td>2</td>\n",
       "      <td>Greek Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Bookstore</td>\n",
       "      <td>Furniture / Home Store</td>\n",
       "      <td>Ice Cream Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Spa</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Brewery</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>M4L</td>\n",
       "      <td>East Toronto</td>\n",
       "      <td>India Bazaar, The Beaches West</td>\n",
       "      <td>43.668999</td>\n",
       "      <td>-79.315572</td>\n",
       "      <td>2</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Fish &amp; Chips Shop</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Brewery</td>\n",
       "      <td>Ice Cream Shop</td>\n",
       "      <td>Liquor Store</td>\n",
       "      <td>Pizza Place</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>M4M</td>\n",
       "      <td>East Toronto</td>\n",
       "      <td>Studio District</td>\n",
       "      <td>43.659526</td>\n",
       "      <td>-79.340923</td>\n",
       "      <td>2</td>\n",
       "      <td>Café</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Brewery</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Gastropub</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Comfort Food Restaurant</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Cheese Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>M4N</td>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>Lawrence Park</td>\n",
       "      <td>43.728020</td>\n",
       "      <td>-79.388790</td>\n",
       "      <td>0</td>\n",
       "      <td>Park</td>\n",
       "      <td>Dim Sum Restaurant</td>\n",
       "      <td>Bus Line</td>\n",
       "      <td>Swim School</td>\n",
       "      <td>Electronics Store</td>\n",
       "      <td>Eastern European Restaurant</td>\n",
       "      <td>Dumpling Restaurant</td>\n",
       "      <td>Donut Shop</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "      <td>Dog Run</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Postal code          Borough                    Neighborhood   Latitude  \\\n",
       "0         M4E     East Toronto                     The Beaches  43.676357   \n",
       "1         M4K     East Toronto    The Danforth West, Riverdale  43.679557   \n",
       "2         M4L     East Toronto  India Bazaar, The Beaches West  43.668999   \n",
       "3         M4M     East Toronto                 Studio District  43.659526   \n",
       "4         M4N  Central Toronto                   Lawrence Park  43.728020   \n",
       "\n",
       "   Longitude  Cluster Labels 1st Most Common Venue 2nd Most Common Venue  \\\n",
       "0 -79.293031               0                 Trail             Community   \n",
       "1 -79.352188               2      Greek Restaurant           Coffee Shop   \n",
       "2 -79.315572               2  Fast Food Restaurant        Sandwich Place   \n",
       "3 -79.340923               2                  Café           Coffee Shop   \n",
       "4 -79.388790               0                  Park    Dim Sum Restaurant   \n",
       "\n",
       "  3rd Most Common Venue 4th Most Common Venue   5th Most Common Venue  \\\n",
       "0                   Pub     Health Food Store     Distribution Center   \n",
       "1    Italian Restaurant             Bookstore  Furniture / Home Store   \n",
       "2                   Gym                   Pub       Fish & Chips Shop   \n",
       "3               Brewery                Bakery     American Restaurant   \n",
       "4              Bus Line           Swim School       Electronics Store   \n",
       "\n",
       "         6th Most Common Venue 7th Most Common Venue    8th Most Common Venue  \\\n",
       "0                 Dessert Shop    Dim Sum Restaurant                    Diner   \n",
       "1               Ice Cream Shop                  Café                      Spa   \n",
       "2             Sushi Restaurant               Brewery           Ice Cream Shop   \n",
       "3                    Gastropub           Yoga Studio  Comfort Food Restaurant   \n",
       "4  Eastern European Restaurant   Dumpling Restaurant               Donut Shop   \n",
       "\n",
       "  9th Most Common Venue 10th Most Common Venue  \n",
       "0        Discount Store            Yoga Studio  \n",
       "1   Japanese Restaurant                Brewery  \n",
       "2          Liquor Store            Pizza Place  \n",
       "3        Sandwich Place            Cheese Shop  \n",
       "4      Doner Restaurant                Dog Run  "
      ]
     },
     "execution_count": 148,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "neighborhoods_venues_sorted.insert(0, 'Cluster Labels', kmeans.labels_)\n",
    "neighborhoods_venues_sorted.head()\n",
    "toronto_merged = subtoronto_data\n",
    "toronto_merged = toronto_merged.join(neighborhoods_venues_sorted.drop(['Borough','Neighborhood'],1)\n",
    "                                     .set_index('Postal code'), on='Postal code')\n",
    "toronto_merged.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 149,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(39, 16)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Postal code</th>\n",
       "      <th>Borough</th>\n",
       "      <th>Neighborhood</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>43.676357</td>\n",
       "      <td>-79.293031</td>\n",
       "      <td>0</td>\n",
       "      <td>Trail</td>\n",
       "      <td>Community</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Health Food Store</td>\n",
       "      <td>Distribution Center</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Dim Sum Restaurant</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Yoga Studio</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>M5P</td>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>Forest Hill North &amp; West</td>\n",
       "      <td>43.696948</td>\n",
       "      <td>-79.411307</td>\n",
       "      <td>0</td>\n",
       "      <td>Park</td>\n",
       "      <td>Jewelry Store</td>\n",
       "      <td>Trail</td>\n",
       "      <td>Bus Line</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Deli / Bodega</td>\n",
       "      <td>Dumpling Restaurant</td>\n",
       "      <td>Donut Shop</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "      <td>Dog Run</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>M4N</td>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>Lawrence Park</td>\n",
       "      <td>43.728020</td>\n",
       "      <td>-79.388790</td>\n",
       "      <td>0</td>\n",
       "      <td>Park</td>\n",
       "      <td>Dim Sum Restaurant</td>\n",
       "      <td>Bus Line</td>\n",
       "      <td>Swim School</td>\n",
       "      <td>Electronics Store</td>\n",
       "      <td>Eastern European Restaurant</td>\n",
       "      <td>Dumpling Restaurant</td>\n",
       "      <td>Donut Shop</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "      <td>Dog Run</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>M5N</td>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>Roselawn</td>\n",
       "      <td>43.711695</td>\n",
       "      <td>-79.416936</td>\n",
       "      <td>1</td>\n",
       "      <td>Garden</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Deli / Bodega</td>\n",
       "      <td>Electronics Store</td>\n",
       "      <td>Eastern European Restaurant</td>\n",
       "      <td>Dumpling Restaurant</td>\n",
       "      <td>Donut Shop</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Distribution Center</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>43.672710</td>\n",
       "      <td>-79.405678</td>\n",
       "      <td>2</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Café</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Middle Eastern Restaurant</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Indian Restaurant</td>\n",
       "      <td>Flower Shop</td>\n",
       "      <td>BBQ Joint</td>\n",
       "      <td>History Museum</td>\n",
       "      <td>Liquor Store</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Postal code          Borough                         Neighborhood  \\\n",
       "0          M4E     East Toronto                          The Beaches   \n",
       "23         M5P  Central Toronto             Forest Hill North & West   \n",
       "4          M4N  Central Toronto                        Lawrence Park   \n",
       "22         M5N  Central Toronto                             Roselawn   \n",
       "24         M5R  Central Toronto  The Annex, North Midtown, Yorkville   \n",
       "\n",
       "     Latitude  Longitude  Cluster Labels 1st Most Common Venue  \\\n",
       "0   43.676357 -79.293031               0                 Trail   \n",
       "23  43.696948 -79.411307               0                  Park   \n",
       "4   43.728020 -79.388790               0                  Park   \n",
       "22  43.711695 -79.416936               1                Garden   \n",
       "24  43.672710 -79.405678               2        Sandwich Place   \n",
       "\n",
       "   2nd Most Common Venue 3rd Most Common Venue      4th Most Common Venue  \\\n",
       "0              Community                   Pub          Health Food Store   \n",
       "23         Jewelry Store                 Trail                   Bus Line   \n",
       "4     Dim Sum Restaurant              Bus Line                Swim School   \n",
       "22           Yoga Studio         Deli / Bodega          Electronics Store   \n",
       "24                  Café           Coffee Shop  Middle Eastern Restaurant   \n",
       "\n",
       "          5th Most Common Venue        6th Most Common Venue  \\\n",
       "0           Distribution Center                 Dessert Shop   \n",
       "23             Sushi Restaurant                Deli / Bodega   \n",
       "4             Electronics Store  Eastern European Restaurant   \n",
       "22  Eastern European Restaurant          Dumpling Restaurant   \n",
       "24                  Pizza Place            Indian Restaurant   \n",
       "\n",
       "   7th Most Common Venue 8th Most Common Venue 9th Most Common Venue  \\\n",
       "0     Dim Sum Restaurant                 Diner        Discount Store   \n",
       "23   Dumpling Restaurant            Donut Shop      Doner Restaurant   \n",
       "4    Dumpling Restaurant            Donut Shop      Doner Restaurant   \n",
       "22            Donut Shop      Doner Restaurant               Dog Run   \n",
       "24           Flower Shop             BBQ Joint        History Museum   \n",
       "\n",
       "   10th Most Common Venue  \n",
       "0             Yoga Studio  \n",
       "23                Dog Run  \n",
       "4                 Dog Run  \n",
       "22    Distribution Center  \n",
       "24           Liquor Store  "
      ]
     },
     "execution_count": 149,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(toronto_merged.shape)\n",
    "toronto_merged['Cluster Labels'] = toronto_merged['Cluster Labels'].astype(int)\n",
    "toronto_merged.sort_values([\"Cluster Labels\"], inplace=True)\n",
    "toronto_merged.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 150,
   "metadata": {},
   "outputs": [
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            circle_marker_e3433af86a0649b499d2895bf7de113f.bindPopup(popup_3b4e9be56fb14358a192ae352c986b86);

            
        
    
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}
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            circle_marker_8027c0552170458a98f964fee162d97b.bindPopup(popup_dcc7b7067e714613a753f8c7d113037f);

            
        
    
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            circle_marker_8551b1cd9f02404a9139ecb4fedf7970.bindPopup(popup_ddc441cc650a4d1392e95a5859a90af6);

            
        
    
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</script> onload=\"this.contentDocument.open();this.contentDocument.write(atob(this.getAttribute('data-html')));this.contentDocument.close();\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
      ],
      "text/plain": [
       "<folium.folium.Map at 0x260e18244c8>"
      ]
     },
     "execution_count": 150,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "map_clusters = folium.Map(location=[latitude, longitude], zoom_start=11)\n",
    "\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",
    "\n",
    "\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"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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  "colab": {
   "authorship_tag": "ABX9TyOzHa7Ubit79LkgB7Zk2hkU",
   "include_colab_link": true,
   "name": "Toronto_Analysis.ipynb",
   "private_outputs": true,
   "provenance": []
  },
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   "language": "python",
   "name": "python3"
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   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
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