IBM_Clustering_Geospatial_data.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Importing all libraries that will be required to the project"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import geocoder\n",
    "import pandas as pd\n",
    "import requests\n",
    "from bs4 import BeautifulSoup\n",
    "import json\n",
    "from geopy.geocoders import Nominatim\n",
    "import matplotlib.cm as cm\n",
    "import matplotlib.colors as colors\n",
    "from sklearn.cluster import KMeans\n",
    "import folium # map rendering library\n",
    "from pandas.io.json import json_normalize # tranform JSON file into a pandas dataframe"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Getting content table of neighbourhood area of Toronto from the wikipidia page and scrapping the table using BeautifulSoup"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "res = requests.get(\"https://en.wikipedia.org/wiki/List_of_postal_codes_of_Canada:_M\")\n",
    "soup = BeautifulSoup(res.content,'lxml')\n",
    "table = soup.find_all('table')[0] \n",
    "df = pd.read_html(str(table))\n",
    "df=df[0].to_json(orient='records')\n",
    "#print( tabulate(df[0], headers='keys', tablefmt='psql'))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Checking the Dataframe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'[{\"0\":\"Postcode\",\"1\":\"Borough\",\"2\":\"Neighbourhood\"},{\"0\":\"M1A\",\"1\":\"Not assigned\",\"2\":\"Not assigned\"},{\"0\":\"M2A\",\"1\":\"Not assigned\",\"2\":\"Not assigned\"},{\"0\":\"M3A\",\"1\":\"North York\",\"2\":\"Parkwoods\"},{\"0\":\"M4A\",\"1\":\"North York\",\"2\":\"Victoria Village\"},{\"0\":\"M5A\",\"1\":\"Downtown Toronto\",\"2\":\"Harbourfront\"},{\"0\":\"M5A\",\"1\":\"Downtown Toronto\",\"2\":\"Regent Park\"},{\"0\":\"M6A\",\"1\":\"North York\",\"2\":\"Lawrence Heights\"},{\"0\":\"M6A\",\"1\":\"North York\",\"2\":\"Lawrence Manor\"},{\"0\":\"M7A\",\"1\":\"Queen\\'s Park\",\"2\":\"Not assigned\"},{\"0\":\"M8A\",\"1\":\"Not assigned\",\"2\":\"Not assigned\"},{\"0\":\"M9A\",\"1\":\"Etobicoke\",\"2\":\"Islington Avenue\"},{\"0\":\"M1B\",\"1\":\"Scarborough\",\"2\":\"Rouge\"},{\"0\":\"M1B\",\"1\":\"Scarborough\",\"2\":\"Malvern\"},{\"0\":\"M2B\",\"1\":\"Not assigned\",\"2\":\"Not assigned\"},{\"0\":\"M3B\",\"1\":\"North York\",\"2\":\"Don Mills North\"},{\"0\":\"M4B\",\"1\":\"East York\",\"2\":\"Woodbine Gardens\"},{\"0\":\"M4B\",\"1\":\"East York\",\"2\":\"Parkview Hill\"},{\"0\":\"M5B\",\"1\":\"Downtown Toronto\",\"2\":\"Ryerson\"},{\"0\":\"M5B\",\"1\":\"Downtown Toronto\",\"2\":\"Garden District\"},{\"0\":\"M6B\",\"1\":\"North York\",\"2\":\"Glencairn\"},{\"0\":\"M7B\",\"1\":\"Not assigned\",\"2\":\"Not assigned\"},{\"0\":\"M8B\",\"1\":\"Not assigned\",\"2\":\"Not assigned\"},{\"0\":\"M9B\",\"1\":\"Etobicoke\",\"2\":\"Cloverdale\"},{\"0\":\"M9B\",\"1\":\"Etobicoke\",\"2\":\"Islington\"},{\"0\":\"M9B\",\"1\":\"Etobicoke\",\"2\":\"Martin Grove\"},{\"0\":\"M9B\",\"1\":\"Etobicoke\",\"2\":\"Princess Gardens\"},{\"0\":\"M9B\",\"1\":\"Etobicoke\",\"2\":\"West Deane Park\"},{\"0\":\"M1C\",\"1\":\"Scarborough\",\"2\":\"Highland Creek\"},{\"0\":\"M1C\",\"1\":\"Scarborough\",\"2\":\"Rouge Hill\"},{\"0\":\"M1C\",\"1\":\"Scarborough\",\"2\":\"Port Union\"},{\"0\":\"M2C\",\"1\":\"Not assigned\",\"2\":\"Not assigned\"},{\"0\":\"M3C\",\"1\":\"North York\",\"2\":\"Flemingdon Park\"},{\"0\":\"M3C\",\"1\":\"North York\",\"2\":\"Don Mills South\"},{\"0\":\"M4C\",\"1\":\"East York\",\"2\":\"Woodbine Heights\"},{\"0\":\"M5C\",\"1\":\"Downtown Toronto\",\"2\":\"St. James Town\"},{\"0\":\"M6C\",\"1\":\"York\",\"2\":\"Humewood-Cedarvale\"},{\"0\":\"M7C\",\"1\":\"Not assigned\",\"2\":\"Not assigned\"},{\"0\":\"M8C\",\"1\":\"Not assigned\",\"2\":\"Not assigned\"},{\"0\":\"M9C\",\"1\":\"Etobicoke\",\"2\":\"Bloordale Gardens\"},{\"0\":\"M9C\",\"1\":\"Etobicoke\",\"2\":\"Eringate\"},{\"0\":\"M9C\",\"1\":\"Etobicoke\",\"2\":\"Markland Wood\"},{\"0\":\"M9C\",\"1\":\"Etobicoke\",\"2\":\"Old Burnhamthorpe\"},{\"0\":\"M1E\",\"1\":\"Scarborough\",\"2\":\"Guildwood\"},{\"0\":\"M1E\",\"1\":\"Scarborough\",\"2\":\"Morningside\"},{\"0\":\"M1E\",\"1\":\"Scarborough\",\"2\":\"West Hill\"},{\"0\":\"M2E\",\"1\":\"Not assigned\",\"2\":\"Not assigned\"},{\"0\":\"M3E\",\"1\":\"Not assigned\",\"2\":\"Not assigned\"},{\"0\":\"M4E\",\"1\":\"East Toronto\",\"2\":\"The Beaches\"},{\"0\":\"M5E\",\"1\":\"Downtown Toronto\",\"2\":\"Berczy Park\"},{\"0\":\"M6E\",\"1\":\"York\",\"2\":\"Caledonia-Fairbanks\"},{\"0\":\"M7E\",\"1\":\"Not assigned\",\"2\":\"Not assigned\"},{\"0\":\"M8E\",\"1\":\"Not assigned\",\"2\":\"Not assigned\"},{\"0\":\"M9E\",\"1\":\"Not assigned\",\"2\":\"Not assigned\"},{\"0\":\"M1G\",\"1\":\"Scarborough\",\"2\":\"Woburn\"},{\"0\":\"M2G\",\"1\":\"Not assigned\",\"2\":\"Not assigned\"},{\"0\":\"M3G\",\"1\":\"Not assigned\",\"2\":\"Not assigned\"},{\"0\":\"M4G\",\"1\":\"East York\",\"2\":\"Leaside\"},{\"0\":\"M5G\",\"1\":\"Downtown Toronto\",\"2\":\"Central Bay Street\"},{\"0\":\"M6G\",\"1\":\"Downtown Toronto\",\"2\":\"Christie\"},{\"0\":\"M7G\",\"1\":\"Not assigned\",\"2\":\"Not assigned\"},{\"0\":\"M8G\",\"1\":\"Not assigned\",\"2\":\"Not assigned\"},{\"0\":\"M9G\",\"1\":\"Not assigned\",\"2\":\"Not assigned\"},{\"0\":\"M1H\",\"1\":\"Scarborough\",\"2\":\"Cedarbrae\"},{\"0\":\"M2H\",\"1\":\"North York\",\"2\":\"Hillcrest Village\"},{\"0\":\"M3H\",\"1\":\"North York\",\"2\":\"Bathurst Manor\"},{\"0\":\"M3H\",\"1\":\"North York\",\"2\":\"Downsview North\"},{\"0\":\"M3H\",\"1\":\"North York\",\"2\":\"Wilson Heights\"},{\"0\":\"M4H\",\"1\":\"East York\",\"2\":\"Thorncliffe Park\"},{\"0\":\"M5H\",\"1\":\"Downtown Toronto\",\"2\":\"Adelaide\"},{\"0\":\"M5H\",\"1\":\"Downtown Toronto\",\"2\":\"King\"},{\"0\":\"M5H\",\"1\":\"Downtown Toronto\",\"2\":\"Richmond\"},{\"0\":\"M6H\",\"1\":\"West Toronto\",\"2\":\"Dovercourt Village\"},{\"0\":\"M6H\",\"1\":\"West Toronto\",\"2\":\"Dufferin\"},{\"0\":\"M7H\",\"1\":\"Not assigned\",\"2\":\"Not assigned\"},{\"0\":\"M8H\",\"1\":\"Not assigned\",\"2\":\"Not assigned\"},{\"0\":\"M9H\",\"1\":\"Not assigned\",\"2\":\"Not assigned\"},{\"0\":\"M1J\",\"1\":\"Scarborough\",\"2\":\"Scarborough Village\"},{\"0\":\"M2J\",\"1\":\"North York\",\"2\":\"Fairview\"},{\"0\":\"M2J\",\"1\":\"North York\",\"2\":\"Henry Farm\"},{\"0\":\"M2J\",\"1\":\"North York\",\"2\":\"Oriole\"},{\"0\":\"M3J\",\"1\":\"North York\",\"2\":\"Northwood Park\"},{\"0\":\"M3J\",\"1\":\"North York\",\"2\":\"York University\"},{\"0\":\"M4J\",\"1\":\"East York\",\"2\":\"East Toronto\"},{\"0\":\"M5J\",\"1\":\"Downtown Toronto\",\"2\":\"Harbourfront East\"},{\"0\":\"M5J\",\"1\":\"Downtown Toronto\",\"2\":\"Toronto Islands\"},{\"0\":\"M5J\",\"1\":\"Downtown Toronto\",\"2\":\"Union Station\"},{\"0\":\"M6J\",\"1\":\"West Toronto\",\"2\":\"Little Portugal\"},{\"0\":\"M6J\",\"1\":\"West Toronto\",\"2\":\"Trinity\"},{\"0\":\"M7J\",\"1\":\"Not assigned\",\"2\":\"Not assigned\"},{\"0\":\"M8J\",\"1\":\"Not assigned\",\"2\":\"Not assigned\"},{\"0\":\"M9J\",\"1\":\"Not assigned\",\"2\":\"Not assigned\"},{\"0\":\"M1K\",\"1\":\"Scarborough\",\"2\":\"East Birchmount Park\"},{\"0\":\"M1K\",\"1\":\"Scarborough\",\"2\":\"Ionview\"},{\"0\":\"M1K\",\"1\":\"Scarborough\",\"2\":\"Kennedy Park\"},{\"0\":\"M2K\",\"1\":\"North York\",\"2\":\"Bayview Village\"},{\"0\":\"M3K\",\"1\":\"North York\",\"2\":\"CFB Toronto\"},{\"0\":\"M3K\",\"1\":\"North York\",\"2\":\"Downsview East\"},{\"0\":\"M4K\",\"1\":\"East Toronto\",\"2\":\"The Danforth West\"},{\"0\":\"M4K\",\"1\":\"East Toronto\",\"2\":\"Riverdale\"},{\"0\":\"M5K\",\"1\":\"Downtown Toronto\",\"2\":\"Design Exchange\"},{\"0\":\"M5K\",\"1\":\"Downtown Toronto\",\"2\":\"Toronto Dominion Centre\"},{\"0\":\"M6K\",\"1\":\"West Toronto\",\"2\":\"Brockton\"},{\"0\":\"M6K\",\"1\":\"West Toronto\",\"2\":\"Exhibition Place\"},{\"0\":\"M6K\",\"1\":\"West Toronto\",\"2\":\"Parkdale Village\"},{\"0\":\"M7K\",\"1\":\"Not assigned\",\"2\":\"Not assigned\"},{\"0\":\"M8K\",\"1\":\"Not assigned\",\"2\":\"Not assigned\"},{\"0\":\"M9K\",\"1\":\"Not assigned\",\"2\":\"Not assigned\"},{\"0\":\"M1L\",\"1\":\"Scarborough\",\"2\":\"Clairlea\"},{\"0\":\"M1L\",\"1\":\"Scarborough\",\"2\":\"Golden Mile\"},{\"0\":\"M1L\",\"1\":\"Scarborough\",\"2\":\"Oakridge\"},{\"0\":\"M2L\",\"1\":\"North York\",\"2\":\"Silver Hills\"},{\"0\":\"M2L\",\"1\":\"North York\",\"2\":\"York Mills\"},{\"0\":\"M3L\",\"1\":\"North York\",\"2\":\"Downsview West\"},{\"0\":\"M4L\",\"1\":\"East Toronto\",\"2\":\"The Beaches West\"},{\"0\":\"M4L\",\"1\":\"East Toronto\",\"2\":\"India Bazaar\"},{\"0\":\"M5L\",\"1\":\"Downtown Toronto\",\"2\":\"Commerce Court\"},{\"0\":\"M5L\",\"1\":\"Downtown Toronto\",\"2\":\"Victoria Hotel\"},{\"0\":\"M6L\",\"1\":\"North York\",\"2\":\"Downsview\"},{\"0\":\"M6L\",\"1\":\"North York\",\"2\":\"North Park\"},{\"0\":\"M6L\",\"1\":\"North York\",\"2\":\"Upwood Park\"},{\"0\":\"M7L\",\"1\":\"Not assigned\",\"2\":\"Not assigned\"},{\"0\":\"M8L\",\"1\":\"Not assigned\",\"2\":\"Not assigned\"},{\"0\":\"M9L\",\"1\":\"North York\",\"2\":\"Humber Summit\"},{\"0\":\"M1M\",\"1\":\"Scarborough\",\"2\":\"Cliffcrest\"},{\"0\":\"M1M\",\"1\":\"Scarborough\",\"2\":\"Cliffside\"},{\"0\":\"M1M\",\"1\":\"Scarborough\",\"2\":\"Scarborough Village West\"},{\"0\":\"M2M\",\"1\":\"North York\",\"2\":\"Newtonbrook\"},{\"0\":\"M2M\",\"1\":\"North York\",\"2\":\"Willowdale\"},{\"0\":\"M3M\",\"1\":\"North York\",\"2\":\"Downsview Central\"},{\"0\":\"M4M\",\"1\":\"East Toronto\",\"2\":\"Studio District\"},{\"0\":\"M5M\",\"1\":\"North York\",\"2\":\"Bedford Park\"},{\"0\":\"M5M\",\"1\":\"North York\",\"2\":\"Lawrence Manor East\"},{\"0\":\"M6M\",\"1\":\"York\",\"2\":\"Del Ray\"},{\"0\":\"M6M\",\"1\":\"York\",\"2\":\"Keelesdale\"},{\"0\":\"M6M\",\"1\":\"York\",\"2\":\"Mount Dennis\"},{\"0\":\"M6M\",\"1\":\"York\",\"2\":\"Silverthorn\"},{\"0\":\"M7M\",\"1\":\"Not assigned\",\"2\":\"Not assigned\"},{\"0\":\"M8M\",\"1\":\"Not assigned\",\"2\":\"Not assigned\"},{\"0\":\"M9M\",\"1\":\"North York\",\"2\":\"Emery\"},{\"0\":\"M9M\",\"1\":\"North York\",\"2\":\"Humberlea\"},{\"0\":\"M1N\",\"1\":\"Scarborough\",\"2\":\"Birch Cliff\"},{\"0\":\"M1N\",\"1\":\"Scarborough\",\"2\":\"Cliffside West\"},{\"0\":\"M2N\",\"1\":\"North York\",\"2\":\"Willowdale South\"},{\"0\":\"M3N\",\"1\":\"North York\",\"2\":\"Downsview Northwest\"},{\"0\":\"M4N\",\"1\":\"Central Toronto\",\"2\":\"Lawrence Park\"},{\"0\":\"M5N\",\"1\":\"Central Toronto\",\"2\":\"Roselawn\"},{\"0\":\"M6N\",\"1\":\"York\",\"2\":\"The Junction North\"},{\"0\":\"M6N\",\"1\":\"York\",\"2\":\"Runnymede\"},{\"0\":\"M7N\",\"1\":\"Not assigned\",\"2\":\"Not assigned\"},{\"0\":\"M8N\",\"1\":\"Not assigned\",\"2\":\"Not assigned\"},{\"0\":\"M9N\",\"1\":\"York\",\"2\":\"Weston\"},{\"0\":\"M1P\",\"1\":\"Scarborough\",\"2\":\"Dorset Park\"},{\"0\":\"M1P\",\"1\":\"Scarborough\",\"2\":\"Scarborough Town Centre\"},{\"0\":\"M1P\",\"1\":\"Scarborough\",\"2\":\"Wexford Heights\"},{\"0\":\"M2P\",\"1\":\"North York\",\"2\":\"York Mills West\"},{\"0\":\"M3P\",\"1\":\"Not assigned\",\"2\":\"Not assigned\"},{\"0\":\"M4P\",\"1\":\"Central Toronto\",\"2\":\"Davisville North\"},{\"0\":\"M5P\",\"1\":\"Central Toronto\",\"2\":\"Forest Hill North\"},{\"0\":\"M5P\",\"1\":\"Central Toronto\",\"2\":\"Forest Hill West\"},{\"0\":\"M6P\",\"1\":\"West Toronto\",\"2\":\"High Park\"},{\"0\":\"M6P\",\"1\":\"West Toronto\",\"2\":\"The Junction South\"},{\"0\":\"M7P\",\"1\":\"Not assigned\",\"2\":\"Not assigned\"},{\"0\":\"M8P\",\"1\":\"Not assigned\",\"2\":\"Not assigned\"},{\"0\":\"M9P\",\"1\":\"Etobicoke\",\"2\":\"Westmount\"},{\"0\":\"M1R\",\"1\":\"Scarborough\",\"2\":\"Maryvale\"},{\"0\":\"M1R\",\"1\":\"Scarborough\",\"2\":\"Wexford\"},{\"0\":\"M2R\",\"1\":\"North York\",\"2\":\"Willowdale West\"},{\"0\":\"M3R\",\"1\":\"Not assigned\",\"2\":\"Not assigned\"},{\"0\":\"M4R\",\"1\":\"Central Toronto\",\"2\":\"North Toronto West\"},{\"0\":\"M5R\",\"1\":\"Central Toronto\",\"2\":\"The Annex\"},{\"0\":\"M5R\",\"1\":\"Central Toronto\",\"2\":\"North Midtown\"},{\"0\":\"M5R\",\"1\":\"Central Toronto\",\"2\":\"Yorkville\"},{\"0\":\"M6R\",\"1\":\"West Toronto\",\"2\":\"Parkdale\"},{\"0\":\"M6R\",\"1\":\"West Toronto\",\"2\":\"Roncesvalles\"},{\"0\":\"M7R\",\"1\":\"Mississauga\",\"2\":\"Canada Post Gateway Processing Centre\"},{\"0\":\"M8R\",\"1\":\"Not assigned\",\"2\":\"Not assigned\"},{\"0\":\"M9R\",\"1\":\"Etobicoke\",\"2\":\"Kingsview Village\"},{\"0\":\"M9R\",\"1\":\"Etobicoke\",\"2\":\"Martin Grove Gardens\"},{\"0\":\"M9R\",\"1\":\"Etobicoke\",\"2\":\"Richview Gardens\"},{\"0\":\"M9R\",\"1\":\"Etobicoke\",\"2\":\"St. Phillips\"},{\"0\":\"M1S\",\"1\":\"Scarborough\",\"2\":\"Agincourt\"},{\"0\":\"M2S\",\"1\":\"Not assigned\",\"2\":\"Not assigned\"},{\"0\":\"M3S\",\"1\":\"Not assigned\",\"2\":\"Not assigned\"},{\"0\":\"M4S\",\"1\":\"Central Toronto\",\"2\":\"Davisville\"},{\"0\":\"M5S\",\"1\":\"Downtown Toronto\",\"2\":\"Harbord\"},{\"0\":\"M5S\",\"1\":\"Downtown Toronto\",\"2\":\"University of Toronto\"},{\"0\":\"M6S\",\"1\":\"West Toronto\",\"2\":\"Runnymede\"},{\"0\":\"M6S\",\"1\":\"West Toronto\",\"2\":\"Swansea\"},{\"0\":\"M7S\",\"1\":\"Not assigned\",\"2\":\"Not assigned\"},{\"0\":\"M8S\",\"1\":\"Not assigned\",\"2\":\"Not assigned\"},{\"0\":\"M9S\",\"1\":\"Not assigned\",\"2\":\"Not assigned\"},{\"0\":\"M1T\",\"1\":\"Scarborough\",\"2\":\"Clarks Corners\"},{\"0\":\"M1T\",\"1\":\"Scarborough\",\"2\":\"Sullivan\"},{\"0\":\"M1T\",\"1\":\"Scarborough\",\"2\":\"Tam O\\'Shanter\"},{\"0\":\"M2T\",\"1\":\"Not assigned\",\"2\":\"Not assigned\"},{\"0\":\"M3T\",\"1\":\"Not assigned\",\"2\":\"Not assigned\"},{\"0\":\"M4T\",\"1\":\"Central Toronto\",\"2\":\"Moore Park\"},{\"0\":\"M4T\",\"1\":\"Central Toronto\",\"2\":\"Summerhill East\"},{\"0\":\"M5T\",\"1\":\"Downtown Toronto\",\"2\":\"Chinatown\"},{\"0\":\"M5T\",\"1\":\"Downtown Toronto\",\"2\":\"Grange Park\"},{\"0\":\"M5T\",\"1\":\"Downtown Toronto\",\"2\":\"Kensington Market\"},{\"0\":\"M6T\",\"1\":\"Not assigned\",\"2\":\"Not assigned\"},{\"0\":\"M7T\",\"1\":\"Not assigned\",\"2\":\"Not assigned\"},{\"0\":\"M8T\",\"1\":\"Not assigned\",\"2\":\"Not assigned\"},{\"0\":\"M9T\",\"1\":\"Not assigned\",\"2\":\"Not assigned\"},{\"0\":\"M1V\",\"1\":\"Scarborough\",\"2\":\"Agincourt North\"},{\"0\":\"M1V\",\"1\":\"Scarborough\",\"2\":\"L\\'Amoreaux East\"},{\"0\":\"M1V\",\"1\":\"Scarborough\",\"2\":\"Milliken\"},{\"0\":\"M1V\",\"1\":\"Scarborough\",\"2\":\"Steeles East\"},{\"0\":\"M2V\",\"1\":\"Not assigned\",\"2\":\"Not assigned\"},{\"0\":\"M3V\",\"1\":\"Not assigned\",\"2\":\"Not assigned\"},{\"0\":\"M4V\",\"1\":\"Central Toronto\",\"2\":\"Deer Park\"},{\"0\":\"M4V\",\"1\":\"Central Toronto\",\"2\":\"Forest Hill SE\"},{\"0\":\"M4V\",\"1\":\"Central Toronto\",\"2\":\"Rathnelly\"},{\"0\":\"M4V\",\"1\":\"Central Toronto\",\"2\":\"South Hill\"},{\"0\":\"M4V\",\"1\":\"Central Toronto\",\"2\":\"Summerhill West\"},{\"0\":\"M5V\",\"1\":\"Downtown Toronto\",\"2\":\"CN Tower\"},{\"0\":\"M5V\",\"1\":\"Downtown Toronto\",\"2\":\"Bathurst Quay\"},{\"0\":\"M5V\",\"1\":\"Downtown Toronto\",\"2\":\"Island airport\"},{\"0\":\"M5V\",\"1\":\"Downtown Toronto\",\"2\":\"Harbourfront West\"},{\"0\":\"M5V\",\"1\":\"Downtown Toronto\",\"2\":\"King and Spadina\"},{\"0\":\"M5V\",\"1\":\"Downtown Toronto\",\"2\":\"Railway Lands\"},{\"0\":\"M5V\",\"1\":\"Downtown Toronto\",\"2\":\"South Niagara\"},{\"0\":\"M6V\",\"1\":\"Not assigned\",\"2\":\"Not assigned\"},{\"0\":\"M7V\",\"1\":\"Not assigned\",\"2\":\"Not assigned\"},{\"0\":\"M8V\",\"1\":\"Etobicoke\",\"2\":\"Humber Bay Shores\"},{\"0\":\"M8V\",\"1\":\"Etobicoke\",\"2\":\"Mimico South\"},{\"0\":\"M8V\",\"1\":\"Etobicoke\",\"2\":\"New Toronto\"},{\"0\":\"M9V\",\"1\":\"Etobicoke\",\"2\":\"Albion Gardens\"},{\"0\":\"M9V\",\"1\":\"Etobicoke\",\"2\":\"Beaumond Heights\"},{\"0\":\"M9V\",\"1\":\"Etobicoke\",\"2\":\"Humbergate\"},{\"0\":\"M9V\",\"1\":\"Etobicoke\",\"2\":\"Jamestown\"},{\"0\":\"M9V\",\"1\":\"Etobicoke\",\"2\":\"Mount Olive\"},{\"0\":\"M9V\",\"1\":\"Etobicoke\",\"2\":\"Silverstone\"},{\"0\":\"M9V\",\"1\":\"Etobicoke\",\"2\":\"South Steeles\"},{\"0\":\"M9V\",\"1\":\"Etobicoke\",\"2\":\"Thistletown\"},{\"0\":\"M1W\",\"1\":\"Scarborough\",\"2\":\"L\\'Amoreaux West\"},{\"0\":\"M2W\",\"1\":\"Not assigned\",\"2\":\"Not assigned\"},{\"0\":\"M3W\",\"1\":\"Not assigned\",\"2\":\"Not assigned\"},{\"0\":\"M4W\",\"1\":\"Downtown Toronto\",\"2\":\"Rosedale\"},{\"0\":\"M5W\",\"1\":\"Downtown Toronto\",\"2\":\"Stn A PO Boxes 25 The Esplanade\"},{\"0\":\"M6W\",\"1\":\"Not assigned\",\"2\":\"Not assigned\"},{\"0\":\"M7W\",\"1\":\"Not assigned\",\"2\":\"Not assigned\"},{\"0\":\"M8W\",\"1\":\"Etobicoke\",\"2\":\"Alderwood\"},{\"0\":\"M8W\",\"1\":\"Etobicoke\",\"2\":\"Long Branch\"},{\"0\":\"M9W\",\"1\":\"Etobicoke\",\"2\":\"Northwest\"},{\"0\":\"M1X\",\"1\":\"Scarborough\",\"2\":\"Upper Rouge\"},{\"0\":\"M2X\",\"1\":\"Not assigned\",\"2\":\"Not assigned\"},{\"0\":\"M3X\",\"1\":\"Not assigned\",\"2\":\"Not assigned\"},{\"0\":\"M4X\",\"1\":\"Downtown Toronto\",\"2\":\"Cabbagetown\"},{\"0\":\"M4X\",\"1\":\"Downtown Toronto\",\"2\":\"St. James Town\"},{\"0\":\"M5X\",\"1\":\"Downtown Toronto\",\"2\":\"First Canadian Place\"},{\"0\":\"M5X\",\"1\":\"Downtown Toronto\",\"2\":\"Underground city\"},{\"0\":\"M6X\",\"1\":\"Not assigned\",\"2\":\"Not assigned\"},{\"0\":\"M7X\",\"1\":\"Not assigned\",\"2\":\"Not assigned\"},{\"0\":\"M8X\",\"1\":\"Etobicoke\",\"2\":\"The Kingsway\"},{\"0\":\"M8X\",\"1\":\"Etobicoke\",\"2\":\"Montgomery Road\"},{\"0\":\"M8X\",\"1\":\"Etobicoke\",\"2\":\"Old Mill North\"},{\"0\":\"M9X\",\"1\":\"Not assigned\",\"2\":\"Not assigned\"},{\"0\":\"M1Y\",\"1\":\"Not assigned\",\"2\":\"Not assigned\"},{\"0\":\"M2Y\",\"1\":\"Not assigned\",\"2\":\"Not assigned\"},{\"0\":\"M3Y\",\"1\":\"Not assigned\",\"2\":\"Not assigned\"},{\"0\":\"M4Y\",\"1\":\"Downtown Toronto\",\"2\":\"Church and Wellesley\"},{\"0\":\"M5Y\",\"1\":\"Not assigned\",\"2\":\"Not assigned\"},{\"0\":\"M6Y\",\"1\":\"Not assigned\",\"2\":\"Not assigned\"},{\"0\":\"M7Y\",\"1\":\"East Toronto\",\"2\":\"Business Reply Mail Processing Centre 969 Eastern\"},{\"0\":\"M8Y\",\"1\":\"Etobicoke\",\"2\":\"Humber Bay\"},{\"0\":\"M8Y\",\"1\":\"Etobicoke\",\"2\":\"King\\'s Mill Park\"},{\"0\":\"M8Y\",\"1\":\"Etobicoke\",\"2\":\"Kingsway Park South East\"},{\"0\":\"M8Y\",\"1\":\"Etobicoke\",\"2\":\"Mimico NE\"},{\"0\":\"M8Y\",\"1\":\"Etobicoke\",\"2\":\"Old Mill South\"},{\"0\":\"M8Y\",\"1\":\"Etobicoke\",\"2\":\"The Queensway East\"},{\"0\":\"M8Y\",\"1\":\"Etobicoke\",\"2\":\"Royal York South East\"},{\"0\":\"M8Y\",\"1\":\"Etobicoke\",\"2\":\"Sunnylea\"},{\"0\":\"M9Y\",\"1\":\"Not assigned\",\"2\":\"Not assigned\"},{\"0\":\"M1Z\",\"1\":\"Not assigned\",\"2\":\"Not assigned\"},{\"0\":\"M2Z\",\"1\":\"Not assigned\",\"2\":\"Not assigned\"},{\"0\":\"M3Z\",\"1\":\"Not assigned\",\"2\":\"Not assigned\"},{\"0\":\"M4Z\",\"1\":\"Not assigned\",\"2\":\"Not assigned\"},{\"0\":\"M5Z\",\"1\":\"Not assigned\",\"2\":\"Not assigned\"},{\"0\":\"M6Z\",\"1\":\"Not assigned\",\"2\":\"Not assigned\"},{\"0\":\"M7Z\",\"1\":\"Not assigned\",\"2\":\"Not assigned\"},{\"0\":\"M8Z\",\"1\":\"Etobicoke\",\"2\":\"Kingsway Park South West\"},{\"0\":\"M8Z\",\"1\":\"Etobicoke\",\"2\":\"Mimico NW\"},{\"0\":\"M8Z\",\"1\":\"Etobicoke\",\"2\":\"The Queensway West\"},{\"0\":\"M8Z\",\"1\":\"Etobicoke\",\"2\":\"Royal York South West\"},{\"0\":\"M8Z\",\"1\":\"Etobicoke\",\"2\":\"South of Bloor\"},{\"0\":\"M9Z\",\"1\":\"Not assigned\",\"2\":\"Not assigned\"}]'"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Loading the dataframe as Json file"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "toronto_data=json.loads(df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[{'0': 'Postcode', '1': 'Borough', '2': 'Neighbourhood'},\n",
       " {'0': 'M1A', '1': 'Not assigned', '2': 'Not assigned'},\n",
       " {'0': 'M2A', '1': 'Not assigned', '2': 'Not assigned'},\n",
       " {'0': 'M3A', '1': 'North York', '2': 'Parkwoods'},\n",
       " {'0': 'M4A', '1': 'North York', '2': 'Victoria Village'},\n",
       " {'0': 'M5A', '1': 'Downtown Toronto', '2': 'Harbourfront'},\n",
       " {'0': 'M5A', '1': 'Downtown Toronto', '2': 'Regent Park'},\n",
       " {'0': 'M6A', '1': 'North York', '2': 'Lawrence Heights'},\n",
       " {'0': 'M6A', '1': 'North York', '2': 'Lawrence Manor'},\n",
       " {'0': 'M7A', '1': \"Queen's Park\", '2': 'Not assigned'},\n",
       " {'0': 'M8A', '1': 'Not assigned', '2': 'Not assigned'},\n",
       " {'0': 'M9A', '1': 'Etobicoke', '2': 'Islington Avenue'},\n",
       " {'0': 'M1B', '1': 'Scarborough', '2': 'Rouge'},\n",
       " {'0': 'M1B', '1': 'Scarborough', '2': 'Malvern'},\n",
       " {'0': 'M2B', '1': 'Not assigned', '2': 'Not assigned'},\n",
       " {'0': 'M3B', '1': 'North York', '2': 'Don Mills North'},\n",
       " {'0': 'M4B', '1': 'East York', '2': 'Woodbine Gardens'},\n",
       " {'0': 'M4B', '1': 'East York', '2': 'Parkview Hill'},\n",
       " {'0': 'M5B', '1': 'Downtown Toronto', '2': 'Ryerson'},\n",
       " {'0': 'M5B', '1': 'Downtown Toronto', '2': 'Garden District'},\n",
       " {'0': 'M6B', '1': 'North York', '2': 'Glencairn'},\n",
       " {'0': 'M7B', '1': 'Not assigned', '2': 'Not assigned'},\n",
       " {'0': 'M8B', '1': 'Not assigned', '2': 'Not assigned'},\n",
       " {'0': 'M9B', '1': 'Etobicoke', '2': 'Cloverdale'},\n",
       " {'0': 'M9B', '1': 'Etobicoke', '2': 'Islington'},\n",
       " {'0': 'M9B', '1': 'Etobicoke', '2': 'Martin Grove'},\n",
       " {'0': 'M9B', '1': 'Etobicoke', '2': 'Princess Gardens'},\n",
       " {'0': 'M9B', '1': 'Etobicoke', '2': 'West Deane Park'},\n",
       " {'0': 'M1C', '1': 'Scarborough', '2': 'Highland Creek'},\n",
       " {'0': 'M1C', '1': 'Scarborough', '2': 'Rouge Hill'},\n",
       " {'0': 'M1C', '1': 'Scarborough', '2': 'Port Union'},\n",
       " {'0': 'M2C', '1': 'Not assigned', '2': 'Not assigned'},\n",
       " {'0': 'M3C', '1': 'North York', '2': 'Flemingdon Park'},\n",
       " {'0': 'M3C', '1': 'North York', '2': 'Don Mills South'},\n",
       " {'0': 'M4C', '1': 'East York', '2': 'Woodbine Heights'},\n",
       " {'0': 'M5C', '1': 'Downtown Toronto', '2': 'St. James Town'},\n",
       " {'0': 'M6C', '1': 'York', '2': 'Humewood-Cedarvale'},\n",
       " {'0': 'M7C', '1': 'Not assigned', '2': 'Not assigned'},\n",
       " {'0': 'M8C', '1': 'Not assigned', '2': 'Not assigned'},\n",
       " {'0': 'M9C', '1': 'Etobicoke', '2': 'Bloordale Gardens'},\n",
       " {'0': 'M9C', '1': 'Etobicoke', '2': 'Eringate'},\n",
       " {'0': 'M9C', '1': 'Etobicoke', '2': 'Markland Wood'},\n",
       " {'0': 'M9C', '1': 'Etobicoke', '2': 'Old Burnhamthorpe'},\n",
       " {'0': 'M1E', '1': 'Scarborough', '2': 'Guildwood'},\n",
       " {'0': 'M1E', '1': 'Scarborough', '2': 'Morningside'},\n",
       " {'0': 'M1E', '1': 'Scarborough', '2': 'West Hill'},\n",
       " {'0': 'M2E', '1': 'Not assigned', '2': 'Not assigned'},\n",
       " {'0': 'M3E', '1': 'Not assigned', '2': 'Not assigned'},\n",
       " {'0': 'M4E', '1': 'East Toronto', '2': 'The Beaches'},\n",
       " {'0': 'M5E', '1': 'Downtown Toronto', '2': 'Berczy Park'},\n",
       " {'0': 'M6E', '1': 'York', '2': 'Caledonia-Fairbanks'},\n",
       " {'0': 'M7E', '1': 'Not assigned', '2': 'Not assigned'},\n",
       " {'0': 'M8E', '1': 'Not assigned', '2': 'Not assigned'},\n",
       " {'0': 'M9E', '1': 'Not assigned', '2': 'Not assigned'},\n",
       " {'0': 'M1G', '1': 'Scarborough', '2': 'Woburn'},\n",
       " {'0': 'M2G', '1': 'Not assigned', '2': 'Not assigned'},\n",
       " {'0': 'M3G', '1': 'Not assigned', '2': 'Not assigned'},\n",
       " {'0': 'M4G', '1': 'East York', '2': 'Leaside'},\n",
       " {'0': 'M5G', '1': 'Downtown Toronto', '2': 'Central Bay Street'},\n",
       " {'0': 'M6G', '1': 'Downtown Toronto', '2': 'Christie'},\n",
       " {'0': 'M7G', '1': 'Not assigned', '2': 'Not assigned'},\n",
       " {'0': 'M8G', '1': 'Not assigned', '2': 'Not assigned'},\n",
       " {'0': 'M9G', '1': 'Not assigned', '2': 'Not assigned'},\n",
       " {'0': 'M1H', '1': 'Scarborough', '2': 'Cedarbrae'},\n",
       " {'0': 'M2H', '1': 'North York', '2': 'Hillcrest Village'},\n",
       " {'0': 'M3H', '1': 'North York', '2': 'Bathurst Manor'},\n",
       " {'0': 'M3H', '1': 'North York', '2': 'Downsview North'},\n",
       " {'0': 'M3H', '1': 'North York', '2': 'Wilson Heights'},\n",
       " {'0': 'M4H', '1': 'East York', '2': 'Thorncliffe Park'},\n",
       " {'0': 'M5H', '1': 'Downtown Toronto', '2': 'Adelaide'},\n",
       " {'0': 'M5H', '1': 'Downtown Toronto', '2': 'King'},\n",
       " {'0': 'M5H', '1': 'Downtown Toronto', '2': 'Richmond'},\n",
       " {'0': 'M6H', '1': 'West Toronto', '2': 'Dovercourt Village'},\n",
       " {'0': 'M6H', '1': 'West Toronto', '2': 'Dufferin'},\n",
       " {'0': 'M7H', '1': 'Not assigned', '2': 'Not assigned'},\n",
       " {'0': 'M8H', '1': 'Not assigned', '2': 'Not assigned'},\n",
       " {'0': 'M9H', '1': 'Not assigned', '2': 'Not assigned'},\n",
       " {'0': 'M1J', '1': 'Scarborough', '2': 'Scarborough Village'},\n",
       " {'0': 'M2J', '1': 'North York', '2': 'Fairview'},\n",
       " {'0': 'M2J', '1': 'North York', '2': 'Henry Farm'},\n",
       " {'0': 'M2J', '1': 'North York', '2': 'Oriole'},\n",
       " {'0': 'M3J', '1': 'North York', '2': 'Northwood Park'},\n",
       " {'0': 'M3J', '1': 'North York', '2': 'York University'},\n",
       " {'0': 'M4J', '1': 'East York', '2': 'East Toronto'},\n",
       " {'0': 'M5J', '1': 'Downtown Toronto', '2': 'Harbourfront East'},\n",
       " {'0': 'M5J', '1': 'Downtown Toronto', '2': 'Toronto Islands'},\n",
       " {'0': 'M5J', '1': 'Downtown Toronto', '2': 'Union Station'},\n",
       " {'0': 'M6J', '1': 'West Toronto', '2': 'Little Portugal'},\n",
       " {'0': 'M6J', '1': 'West Toronto', '2': 'Trinity'},\n",
       " {'0': 'M7J', '1': 'Not assigned', '2': 'Not assigned'},\n",
       " {'0': 'M8J', '1': 'Not assigned', '2': 'Not assigned'},\n",
       " {'0': 'M9J', '1': 'Not assigned', '2': 'Not assigned'},\n",
       " {'0': 'M1K', '1': 'Scarborough', '2': 'East Birchmount Park'},\n",
       " {'0': 'M1K', '1': 'Scarborough', '2': 'Ionview'},\n",
       " {'0': 'M1K', '1': 'Scarborough', '2': 'Kennedy Park'},\n",
       " {'0': 'M2K', '1': 'North York', '2': 'Bayview Village'},\n",
       " {'0': 'M3K', '1': 'North York', '2': 'CFB Toronto'},\n",
       " {'0': 'M3K', '1': 'North York', '2': 'Downsview East'},\n",
       " {'0': 'M4K', '1': 'East Toronto', '2': 'The Danforth West'},\n",
       " {'0': 'M4K', '1': 'East Toronto', '2': 'Riverdale'},\n",
       " {'0': 'M5K', '1': 'Downtown Toronto', '2': 'Design Exchange'},\n",
       " {'0': 'M5K', '1': 'Downtown Toronto', '2': 'Toronto Dominion Centre'},\n",
       " {'0': 'M6K', '1': 'West Toronto', '2': 'Brockton'},\n",
       " {'0': 'M6K', '1': 'West Toronto', '2': 'Exhibition Place'},\n",
       " {'0': 'M6K', '1': 'West Toronto', '2': 'Parkdale Village'},\n",
       " {'0': 'M7K', '1': 'Not assigned', '2': 'Not assigned'},\n",
       " {'0': 'M8K', '1': 'Not assigned', '2': 'Not assigned'},\n",
       " {'0': 'M9K', '1': 'Not assigned', '2': 'Not assigned'},\n",
       " {'0': 'M1L', '1': 'Scarborough', '2': 'Clairlea'},\n",
       " {'0': 'M1L', '1': 'Scarborough', '2': 'Golden Mile'},\n",
       " {'0': 'M1L', '1': 'Scarborough', '2': 'Oakridge'},\n",
       " {'0': 'M2L', '1': 'North York', '2': 'Silver Hills'},\n",
       " {'0': 'M2L', '1': 'North York', '2': 'York Mills'},\n",
       " {'0': 'M3L', '1': 'North York', '2': 'Downsview West'},\n",
       " {'0': 'M4L', '1': 'East Toronto', '2': 'The Beaches West'},\n",
       " {'0': 'M4L', '1': 'East Toronto', '2': 'India Bazaar'},\n",
       " {'0': 'M5L', '1': 'Downtown Toronto', '2': 'Commerce Court'},\n",
       " {'0': 'M5L', '1': 'Downtown Toronto', '2': 'Victoria Hotel'},\n",
       " {'0': 'M6L', '1': 'North York', '2': 'Downsview'},\n",
       " {'0': 'M6L', '1': 'North York', '2': 'North Park'},\n",
       " {'0': 'M6L', '1': 'North York', '2': 'Upwood Park'},\n",
       " {'0': 'M7L', '1': 'Not assigned', '2': 'Not assigned'},\n",
       " {'0': 'M8L', '1': 'Not assigned', '2': 'Not assigned'},\n",
       " {'0': 'M9L', '1': 'North York', '2': 'Humber Summit'},\n",
       " {'0': 'M1M', '1': 'Scarborough', '2': 'Cliffcrest'},\n",
       " {'0': 'M1M', '1': 'Scarborough', '2': 'Cliffside'},\n",
       " {'0': 'M1M', '1': 'Scarborough', '2': 'Scarborough Village West'},\n",
       " {'0': 'M2M', '1': 'North York', '2': 'Newtonbrook'},\n",
       " {'0': 'M2M', '1': 'North York', '2': 'Willowdale'},\n",
       " {'0': 'M3M', '1': 'North York', '2': 'Downsview Central'},\n",
       " {'0': 'M4M', '1': 'East Toronto', '2': 'Studio District'},\n",
       " {'0': 'M5M', '1': 'North York', '2': 'Bedford Park'},\n",
       " {'0': 'M5M', '1': 'North York', '2': 'Lawrence Manor East'},\n",
       " {'0': 'M6M', '1': 'York', '2': 'Del Ray'},\n",
       " {'0': 'M6M', '1': 'York', '2': 'Keelesdale'},\n",
       " {'0': 'M6M', '1': 'York', '2': 'Mount Dennis'},\n",
       " {'0': 'M6M', '1': 'York', '2': 'Silverthorn'},\n",
       " {'0': 'M7M', '1': 'Not assigned', '2': 'Not assigned'},\n",
       " {'0': 'M8M', '1': 'Not assigned', '2': 'Not assigned'},\n",
       " {'0': 'M9M', '1': 'North York', '2': 'Emery'},\n",
       " {'0': 'M9M', '1': 'North York', '2': 'Humberlea'},\n",
       " {'0': 'M1N', '1': 'Scarborough', '2': 'Birch Cliff'},\n",
       " {'0': 'M1N', '1': 'Scarborough', '2': 'Cliffside West'},\n",
       " {'0': 'M2N', '1': 'North York', '2': 'Willowdale South'},\n",
       " {'0': 'M3N', '1': 'North York', '2': 'Downsview Northwest'},\n",
       " {'0': 'M4N', '1': 'Central Toronto', '2': 'Lawrence Park'},\n",
       " {'0': 'M5N', '1': 'Central Toronto', '2': 'Roselawn'},\n",
       " {'0': 'M6N', '1': 'York', '2': 'The Junction North'},\n",
       " {'0': 'M6N', '1': 'York', '2': 'Runnymede'},\n",
       " {'0': 'M7N', '1': 'Not assigned', '2': 'Not assigned'},\n",
       " {'0': 'M8N', '1': 'Not assigned', '2': 'Not assigned'},\n",
       " {'0': 'M9N', '1': 'York', '2': 'Weston'},\n",
       " {'0': 'M1P', '1': 'Scarborough', '2': 'Dorset Park'},\n",
       " {'0': 'M1P', '1': 'Scarborough', '2': 'Scarborough Town Centre'},\n",
       " {'0': 'M1P', '1': 'Scarborough', '2': 'Wexford Heights'},\n",
       " {'0': 'M2P', '1': 'North York', '2': 'York Mills West'},\n",
       " {'0': 'M3P', '1': 'Not assigned', '2': 'Not assigned'},\n",
       " {'0': 'M4P', '1': 'Central Toronto', '2': 'Davisville North'},\n",
       " {'0': 'M5P', '1': 'Central Toronto', '2': 'Forest Hill North'},\n",
       " {'0': 'M5P', '1': 'Central Toronto', '2': 'Forest Hill West'},\n",
       " {'0': 'M6P', '1': 'West Toronto', '2': 'High Park'},\n",
       " {'0': 'M6P', '1': 'West Toronto', '2': 'The Junction South'},\n",
       " {'0': 'M7P', '1': 'Not assigned', '2': 'Not assigned'},\n",
       " {'0': 'M8P', '1': 'Not assigned', '2': 'Not assigned'},\n",
       " {'0': 'M9P', '1': 'Etobicoke', '2': 'Westmount'},\n",
       " {'0': 'M1R', '1': 'Scarborough', '2': 'Maryvale'},\n",
       " {'0': 'M1R', '1': 'Scarborough', '2': 'Wexford'},\n",
       " {'0': 'M2R', '1': 'North York', '2': 'Willowdale West'},\n",
       " {'0': 'M3R', '1': 'Not assigned', '2': 'Not assigned'},\n",
       " {'0': 'M4R', '1': 'Central Toronto', '2': 'North Toronto West'},\n",
       " {'0': 'M5R', '1': 'Central Toronto', '2': 'The Annex'},\n",
       " {'0': 'M5R', '1': 'Central Toronto', '2': 'North Midtown'},\n",
       " {'0': 'M5R', '1': 'Central Toronto', '2': 'Yorkville'},\n",
       " {'0': 'M6R', '1': 'West Toronto', '2': 'Parkdale'},\n",
       " {'0': 'M6R', '1': 'West Toronto', '2': 'Roncesvalles'},\n",
       " {'0': 'M7R',\n",
       "  '1': 'Mississauga',\n",
       "  '2': 'Canada Post Gateway Processing Centre'},\n",
       " {'0': 'M8R', '1': 'Not assigned', '2': 'Not assigned'},\n",
       " {'0': 'M9R', '1': 'Etobicoke', '2': 'Kingsview Village'},\n",
       " {'0': 'M9R', '1': 'Etobicoke', '2': 'Martin Grove Gardens'},\n",
       " {'0': 'M9R', '1': 'Etobicoke', '2': 'Richview Gardens'},\n",
       " {'0': 'M9R', '1': 'Etobicoke', '2': 'St. Phillips'},\n",
       " {'0': 'M1S', '1': 'Scarborough', '2': 'Agincourt'},\n",
       " {'0': 'M2S', '1': 'Not assigned', '2': 'Not assigned'},\n",
       " {'0': 'M3S', '1': 'Not assigned', '2': 'Not assigned'},\n",
       " {'0': 'M4S', '1': 'Central Toronto', '2': 'Davisville'},\n",
       " {'0': 'M5S', '1': 'Downtown Toronto', '2': 'Harbord'},\n",
       " {'0': 'M5S', '1': 'Downtown Toronto', '2': 'University of Toronto'},\n",
       " {'0': 'M6S', '1': 'West Toronto', '2': 'Runnymede'},\n",
       " {'0': 'M6S', '1': 'West Toronto', '2': 'Swansea'},\n",
       " {'0': 'M7S', '1': 'Not assigned', '2': 'Not assigned'},\n",
       " {'0': 'M8S', '1': 'Not assigned', '2': 'Not assigned'},\n",
       " {'0': 'M9S', '1': 'Not assigned', '2': 'Not assigned'},\n",
       " {'0': 'M1T', '1': 'Scarborough', '2': 'Clarks Corners'},\n",
       " {'0': 'M1T', '1': 'Scarborough', '2': 'Sullivan'},\n",
       " {'0': 'M1T', '1': 'Scarborough', '2': \"Tam O'Shanter\"},\n",
       " {'0': 'M2T', '1': 'Not assigned', '2': 'Not assigned'},\n",
       " {'0': 'M3T', '1': 'Not assigned', '2': 'Not assigned'},\n",
       " {'0': 'M4T', '1': 'Central Toronto', '2': 'Moore Park'},\n",
       " {'0': 'M4T', '1': 'Central Toronto', '2': 'Summerhill East'},\n",
       " {'0': 'M5T', '1': 'Downtown Toronto', '2': 'Chinatown'},\n",
       " {'0': 'M5T', '1': 'Downtown Toronto', '2': 'Grange Park'},\n",
       " {'0': 'M5T', '1': 'Downtown Toronto', '2': 'Kensington Market'},\n",
       " {'0': 'M6T', '1': 'Not assigned', '2': 'Not assigned'},\n",
       " {'0': 'M7T', '1': 'Not assigned', '2': 'Not assigned'},\n",
       " {'0': 'M8T', '1': 'Not assigned', '2': 'Not assigned'},\n",
       " {'0': 'M9T', '1': 'Not assigned', '2': 'Not assigned'},\n",
       " {'0': 'M1V', '1': 'Scarborough', '2': 'Agincourt North'},\n",
       " {'0': 'M1V', '1': 'Scarborough', '2': \"L'Amoreaux East\"},\n",
       " {'0': 'M1V', '1': 'Scarborough', '2': 'Milliken'},\n",
       " {'0': 'M1V', '1': 'Scarborough', '2': 'Steeles East'},\n",
       " {'0': 'M2V', '1': 'Not assigned', '2': 'Not assigned'},\n",
       " {'0': 'M3V', '1': 'Not assigned', '2': 'Not assigned'},\n",
       " {'0': 'M4V', '1': 'Central Toronto', '2': 'Deer Park'},\n",
       " {'0': 'M4V', '1': 'Central Toronto', '2': 'Forest Hill SE'},\n",
       " {'0': 'M4V', '1': 'Central Toronto', '2': 'Rathnelly'},\n",
       " {'0': 'M4V', '1': 'Central Toronto', '2': 'South Hill'},\n",
       " {'0': 'M4V', '1': 'Central Toronto', '2': 'Summerhill West'},\n",
       " {'0': 'M5V', '1': 'Downtown Toronto', '2': 'CN Tower'},\n",
       " {'0': 'M5V', '1': 'Downtown Toronto', '2': 'Bathurst Quay'},\n",
       " {'0': 'M5V', '1': 'Downtown Toronto', '2': 'Island airport'},\n",
       " {'0': 'M5V', '1': 'Downtown Toronto', '2': 'Harbourfront West'},\n",
       " {'0': 'M5V', '1': 'Downtown Toronto', '2': 'King and Spadina'},\n",
       " {'0': 'M5V', '1': 'Downtown Toronto', '2': 'Railway Lands'},\n",
       " {'0': 'M5V', '1': 'Downtown Toronto', '2': 'South Niagara'},\n",
       " {'0': 'M6V', '1': 'Not assigned', '2': 'Not assigned'},\n",
       " {'0': 'M7V', '1': 'Not assigned', '2': 'Not assigned'},\n",
       " {'0': 'M8V', '1': 'Etobicoke', '2': 'Humber Bay Shores'},\n",
       " {'0': 'M8V', '1': 'Etobicoke', '2': 'Mimico South'},\n",
       " {'0': 'M8V', '1': 'Etobicoke', '2': 'New Toronto'},\n",
       " {'0': 'M9V', '1': 'Etobicoke', '2': 'Albion Gardens'},\n",
       " {'0': 'M9V', '1': 'Etobicoke', '2': 'Beaumond Heights'},\n",
       " {'0': 'M9V', '1': 'Etobicoke', '2': 'Humbergate'},\n",
       " {'0': 'M9V', '1': 'Etobicoke', '2': 'Jamestown'},\n",
       " {'0': 'M9V', '1': 'Etobicoke', '2': 'Mount Olive'},\n",
       " {'0': 'M9V', '1': 'Etobicoke', '2': 'Silverstone'},\n",
       " {'0': 'M9V', '1': 'Etobicoke', '2': 'South Steeles'},\n",
       " {'0': 'M9V', '1': 'Etobicoke', '2': 'Thistletown'},\n",
       " {'0': 'M1W', '1': 'Scarborough', '2': \"L'Amoreaux West\"},\n",
       " {'0': 'M2W', '1': 'Not assigned', '2': 'Not assigned'},\n",
       " {'0': 'M3W', '1': 'Not assigned', '2': 'Not assigned'},\n",
       " {'0': 'M4W', '1': 'Downtown Toronto', '2': 'Rosedale'},\n",
       " {'0': 'M5W', '1': 'Downtown Toronto', '2': 'Stn A PO Boxes 25 The Esplanade'},\n",
       " {'0': 'M6W', '1': 'Not assigned', '2': 'Not assigned'},\n",
       " {'0': 'M7W', '1': 'Not assigned', '2': 'Not assigned'},\n",
       " {'0': 'M8W', '1': 'Etobicoke', '2': 'Alderwood'},\n",
       " {'0': 'M8W', '1': 'Etobicoke', '2': 'Long Branch'},\n",
       " {'0': 'M9W', '1': 'Etobicoke', '2': 'Northwest'},\n",
       " {'0': 'M1X', '1': 'Scarborough', '2': 'Upper Rouge'},\n",
       " {'0': 'M2X', '1': 'Not assigned', '2': 'Not assigned'},\n",
       " {'0': 'M3X', '1': 'Not assigned', '2': 'Not assigned'},\n",
       " {'0': 'M4X', '1': 'Downtown Toronto', '2': 'Cabbagetown'},\n",
       " {'0': 'M4X', '1': 'Downtown Toronto', '2': 'St. James Town'},\n",
       " {'0': 'M5X', '1': 'Downtown Toronto', '2': 'First Canadian Place'},\n",
       " {'0': 'M5X', '1': 'Downtown Toronto', '2': 'Underground city'},\n",
       " {'0': 'M6X', '1': 'Not assigned', '2': 'Not assigned'},\n",
       " {'0': 'M7X', '1': 'Not assigned', '2': 'Not assigned'},\n",
       " {'0': 'M8X', '1': 'Etobicoke', '2': 'The Kingsway'},\n",
       " {'0': 'M8X', '1': 'Etobicoke', '2': 'Montgomery Road'},\n",
       " {'0': 'M8X', '1': 'Etobicoke', '2': 'Old Mill North'},\n",
       " {'0': 'M9X', '1': 'Not assigned', '2': 'Not assigned'},\n",
       " {'0': 'M1Y', '1': 'Not assigned', '2': 'Not assigned'},\n",
       " {'0': 'M2Y', '1': 'Not assigned', '2': 'Not assigned'},\n",
       " {'0': 'M3Y', '1': 'Not assigned', '2': 'Not assigned'},\n",
       " {'0': 'M4Y', '1': 'Downtown Toronto', '2': 'Church and Wellesley'},\n",
       " {'0': 'M5Y', '1': 'Not assigned', '2': 'Not assigned'},\n",
       " {'0': 'M6Y', '1': 'Not assigned', '2': 'Not assigned'},\n",
       " {'0': 'M7Y',\n",
       "  '1': 'East Toronto',\n",
       "  '2': 'Business Reply Mail Processing Centre 969 Eastern'},\n",
       " {'0': 'M8Y', '1': 'Etobicoke', '2': 'Humber Bay'},\n",
       " {'0': 'M8Y', '1': 'Etobicoke', '2': \"King's Mill Park\"},\n",
       " {'0': 'M8Y', '1': 'Etobicoke', '2': 'Kingsway Park South East'},\n",
       " {'0': 'M8Y', '1': 'Etobicoke', '2': 'Mimico NE'},\n",
       " {'0': 'M8Y', '1': 'Etobicoke', '2': 'Old Mill South'},\n",
       " {'0': 'M8Y', '1': 'Etobicoke', '2': 'The Queensway East'},\n",
       " {'0': 'M8Y', '1': 'Etobicoke', '2': 'Royal York South East'},\n",
       " {'0': 'M8Y', '1': 'Etobicoke', '2': 'Sunnylea'},\n",
       " {'0': 'M9Y', '1': 'Not assigned', '2': 'Not assigned'},\n",
       " {'0': 'M1Z', '1': 'Not assigned', '2': 'Not assigned'},\n",
       " {'0': 'M2Z', '1': 'Not assigned', '2': 'Not assigned'},\n",
       " {'0': 'M3Z', '1': 'Not assigned', '2': 'Not assigned'},\n",
       " {'0': 'M4Z', '1': 'Not assigned', '2': 'Not assigned'},\n",
       " {'0': 'M5Z', '1': 'Not assigned', '2': 'Not assigned'},\n",
       " {'0': 'M6Z', '1': 'Not assigned', '2': 'Not assigned'},\n",
       " {'0': 'M7Z', '1': 'Not assigned', '2': 'Not assigned'},\n",
       " {'0': 'M8Z', '1': 'Etobicoke', '2': 'Kingsway Park South West'},\n",
       " {'0': 'M8Z', '1': 'Etobicoke', '2': 'Mimico NW'},\n",
       " {'0': 'M8Z', '1': 'Etobicoke', '2': 'The Queensway West'},\n",
       " {'0': 'M8Z', '1': 'Etobicoke', '2': 'Royal York South West'},\n",
       " {'0': 'M8Z', '1': 'Etobicoke', '2': 'South of Bloor'},\n",
       " {'0': 'M9Z', '1': 'Not assigned', '2': 'Not assigned'}]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "toronto_data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Converting the df into Pandas Dataframe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "toronto_neighborhood=pd.DataFrame(toronto_data )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
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       "      <th></th>\n",
       "      <th>0</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Postcode</td>\n",
       "      <td>Borough</td>\n",
       "      <td>Neighbourhood</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>M1A</td>\n",
       "      <td>Not assigned</td>\n",
       "      <td>Not assigned</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>M2A</td>\n",
       "      <td>Not assigned</td>\n",
       "      <td>Not assigned</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>M3A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Parkwoods</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>M4A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Victoria Village</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          0             1                 2\n",
       "0  Postcode       Borough     Neighbourhood\n",
       "1       M1A  Not assigned      Not assigned\n",
       "2       M2A  Not assigned      Not assigned\n",
       "3       M3A    North York         Parkwoods\n",
       "4       M4A    North York  Victoria Village"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "toronto_neighborhood.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(289, 3)"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "toronto_neighborhood.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Naming the columns as Postcode, Borough and Neighbourhood"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "toronto_neighborhood.columns=['Postcode', 'Borough',\"Neighborhood\"]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Droping the first row as it has name of columns in it which we already named"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "toronto_neighborhood.drop(0,axis=0,inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### resetting the index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "toronto_neighborhood.reset_index(inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
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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>index</th>\n",
       "      <th>Postcode</th>\n",
       "      <th>Borough</th>\n",
       "      <th>Neighborhood</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>M1A</td>\n",
       "      <td>Not assigned</td>\n",
       "      <td>Not assigned</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>M2A</td>\n",
       "      <td>Not assigned</td>\n",
       "      <td>Not assigned</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>M3A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Parkwoods</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>M4A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Victoria Village</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>M5A</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Harbourfront</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   index Postcode           Borough      Neighborhood\n",
       "0      1      M1A      Not assigned      Not assigned\n",
       "1      2      M2A      Not assigned      Not assigned\n",
       "2      3      M3A        North York         Parkwoods\n",
       "3      4      M4A        North York  Victoria Village\n",
       "4      5      M5A  Downtown Toronto      Harbourfront"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "toronto_neighborhood.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Dropping the index column which we don't need"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "toronto_neighborhood.drop(['index'], axis=1, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Postcode</th>\n",
       "      <th>Borough</th>\n",
       "      <th>Neighborhood</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>M1A</td>\n",
       "      <td>Not assigned</td>\n",
       "      <td>Not assigned</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>M2A</td>\n",
       "      <td>Not assigned</td>\n",
       "      <td>Not assigned</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>M3A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Parkwoods</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>M4A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Victoria Village</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>M5A</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Harbourfront</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Postcode           Borough      Neighborhood\n",
       "0      M1A      Not assigned      Not assigned\n",
       "1      M2A      Not assigned      Not assigned\n",
       "2      M3A        North York         Parkwoods\n",
       "3      M4A        North York  Victoria Village\n",
       "4      M5A  Downtown Toronto      Harbourfront"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "toronto_neighborhood.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Selecting rows only where Borough is assigned"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "toronto_neighborhood1=toronto_neighborhood[toronto_neighborhood[\"Borough\"]!=\"Not assigned\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "toronto_neighborhood1.reset_index(inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\deepa\\Anaconda3\\lib\\site-packages\\pandas\\core\\frame.py:3694: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  errors=errors)\n"
     ]
    }
   ],
   "source": [
    "toronto_neighborhood1.drop(\"index\", axis=1, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(211, 3)"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "toronto_neighborhood1.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Checking an instance where Postcode is same"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Postcode</th>\n",
       "      <th>Borough</th>\n",
       "      <th>Neighborhood</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>M1B</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Rouge</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>M1B</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Malvern</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Postcode      Borough Neighborhood\n",
       "8      M1B  Scarborough        Rouge\n",
       "9      M1B  Scarborough      Malvern"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#toronto_neighbourhood1.groupby('Postcode').count()\n",
    "toronto_neighborhood1[toronto_neighborhood1[\"Postcode\"]==\"M1B\"]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Checking how many rows have unassigned Neighbourhood"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "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",
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       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Postcode</th>\n",
       "      <th>Borough</th>\n",
       "      <th>Neighborhood</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>M7A</td>\n",
       "      <td>Queen's Park</td>\n",
       "      <td>Not assigned</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Postcode       Borough  Neighborhood\n",
       "6      M7A  Queen's Park  Not assigned"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "toronto_neighborhood1[toronto_neighborhood1[\"Neighborhood\"]==\"Not assigned\"]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Assigning Borough name as Neighbourhood name where Neighbourhood name is unassigned"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\deepa\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:1: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  \"\"\"Entry point for launching an IPython kernel.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Postcode</th>\n",
       "      <th>Borough</th>\n",
       "      <th>Neighborhood</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>M3A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Parkwoods</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>M4A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Victoria Village</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>M5A</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Harbourfront</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>M5A</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Regent Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>M6A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Lawrence Heights</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>M6A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Lawrence Manor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>M7A</td>\n",
       "      <td>Queen's Park</td>\n",
       "      <td>Queen's Park</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Postcode           Borough      Neighborhood\n",
       "0      M3A        North York         Parkwoods\n",
       "1      M4A        North York  Victoria Village\n",
       "2      M5A  Downtown Toronto      Harbourfront\n",
       "3      M5A  Downtown Toronto       Regent Park\n",
       "4      M6A        North York  Lawrence Heights\n",
       "5      M6A        North York    Lawrence Manor\n",
       "6      M7A      Queen's Park      Queen's Park"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "toronto_neighborhood1[\"Neighborhood\"]=toronto_neighborhood1.apply(lambda x : x[\"Borough\"] if x[\"Neighborhood\"] == \"Not assigned\" else x[\"Neighborhood\"] , axis=1 )\n",
    "toronto_neighborhood1.head(7)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Grouping all the neighbourhood according to Postcode and Borough and making new neighbourhood dataframe. The new dataframe is sorted and neighbourhood is joined by comma. In the end index is reset."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "toronto_neighborhood2=toronto_neighborhood1.groupby([\"Postcode\",\"Borough\"],sort=True)[\"Neighborhood\"].agg(\",\".join).reset_index()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Checking new dataframe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Postcode</th>\n",
       "      <th>Borough</th>\n",
       "      <th>Neighborhood</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>M1B</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Rouge,Malvern</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>M1C</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Highland Creek,Rouge Hill,Port Union</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>East Birchmount Park,Ionview,Kennedy Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>M1L</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Clairlea,Golden Mile,Oakridge</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>M1M</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Cliffcrest,Cliffside,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": [
       "  Postcode      Borough                                   Neighborhood\n",
       "0      M1B  Scarborough                                  Rouge,Malvern\n",
       "1      M1C  Scarborough           Highland Creek,Rouge Hill,Port Union\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      East Birchmount Park,Ionview,Kennedy Park\n",
       "7      M1L  Scarborough                  Clairlea,Golden Mile,Oakridge\n",
       "8      M1M  Scarborough  Cliffcrest,Cliffside,Scarborough Village West\n",
       "9      M1N  Scarborough                     Birch Cliff,Cliffside West"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "toronto_neighborhood2.head(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Checking is there is na values for Neighbourhood and Borough"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Postcode</th>\n",
       "      <th>Borough</th>\n",
       "      <th>Neighborhood</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [Postcode, Borough, Neighborhood]\n",
       "Index: []"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "toronto_neighborhood2[toronto_neighborhood2[\"Neighborhood\"].isna()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Postcode</th>\n",
       "      <th>Borough</th>\n",
       "      <th>Neighborhood</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [Postcode, Borough, Neighborhood]\n",
       "Index: []"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "toronto_neighborhood2[toronto_neighborhood2[\"Borough\"].isna()]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Checking shape that is rows and columns for final neighbourhood dataframe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The dataframe has 11 boroughs and 103 neighborhoods.\n"
     ]
    }
   ],
   "source": [
    "print('The dataframe has {} boroughs and {} neighborhoods.'.format(\n",
    "        len(toronto_neighborhood2['Borough'].unique()),\n",
    "       toronto_neighborhood2.shape[0]\n",
    "    )\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Getting the latitude and longitude data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "lat_long_data=pd.read_csv(\"C:/Users/deepa/Downloads/Geospatial_Coordinates.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "lat_long_data.rename({\"Postal Code\":\"Postcode\"},axis=1,inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Postcode</th>\n",
       "      <th>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": [
       "  Postcode   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": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lat_long_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(103, 3)"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lat_long_data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "#toronto_geo_data=pd.concat([toronto_neighbourhood2,lat_long_data],axis=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Merging toronto_neighbourhood2 and lat_long_data on Postcode"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "toronto_geo_data=pd.merge(toronto_neighborhood2,lat_long_data,on=\"Postcode\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Postcode</th>\n",
       "      <th>Borough</th>\n",
       "      <th>Neighborhood</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>M1B</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Rouge,Malvern</td>\n",
       "      <td>43.806686</td>\n",
       "      <td>-79.194353</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>M1C</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Highland Creek,Rouge Hill,Port Union</td>\n",
       "      <td>43.784535</td>\n",
       "      <td>-79.160497</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>M1E</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Guildwood,Morningside,West Hill</td>\n",
       "      <td>43.763573</td>\n",
       "      <td>-79.188711</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>M1G</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Woburn</td>\n",
       "      <td>43.770992</td>\n",
       "      <td>-79.216917</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>M1H</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Cedarbrae</td>\n",
       "      <td>43.773136</td>\n",
       "      <td>-79.239476</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Postcode      Borough                          Neighborhood   Latitude  \\\n",
       "0      M1B  Scarborough                         Rouge,Malvern  43.806686   \n",
       "1      M1C  Scarborough  Highland Creek,Rouge Hill,Port Union  43.784535   \n",
       "2      M1E  Scarborough       Guildwood,Morningside,West Hill  43.763573   \n",
       "3      M1G  Scarborough                                Woburn  43.770992   \n",
       "4      M1H  Scarborough                             Cedarbrae  43.773136   \n",
       "\n",
       "   Longitude  \n",
       "0 -79.194353  \n",
       "1 -79.160497  \n",
       "2 -79.188711  \n",
       "3 -79.216917  \n",
       "4 -79.239476  "
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "toronto_geo_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "pandas.core.series.Series"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(toronto_geo_data[\"Borough\"])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Checking how many data has name toronto in it group by"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Postcode</th>\n",
       "      <th>Neighborhood</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Borough</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Central Toronto</th>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Downtown Toronto</th>\n",
       "      <td>18</td>\n",
       "      <td>18</td>\n",
       "      <td>18</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>East Toronto</th>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>West Toronto</th>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  Postcode  Neighborhood  Latitude  Longitude\n",
       "Borough                                                      \n",
       "Central Toronto          9             9         9          9\n",
       "Downtown Toronto        18            18        18         18\n",
       "East Toronto             5             5         5          5\n",
       "West Toronto             6             6         6          6"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "toronto_geo_data[toronto_geo_data[\"Borough\"].str.contains(\"Toronto\")  | toronto_geo_data[\"Borough\"].str.contains(\"toronto\")].groupby(\"Borough\").count()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Getting dataframe of city toronto having borough name Toronto in it"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "torontocity_data=toronto_geo_data[toronto_geo_data[\"Borough\"].str.contains(\"Toronto\")  | toronto_geo_data[\"Borough\"].str.contains(\"toronto\")]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "torontocity_data.reset_index(inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\deepa\\Anaconda3\\lib\\site-packages\\pandas\\core\\frame.py:3694: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  errors=errors)\n"
     ]
    }
   ],
   "source": [
    "torontocity_data.drop(\"index\",axis=1,inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(38, 5)"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "torontocity_data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {
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            var html_ba7579fe36774ed3b579fafa4e133576 = $(`<div id="html_ba7579fe36774ed3b579fafa4e133576" style="width: 100.0%; height: 100.0%;">Kingsway Park South West,Mimico NW,The Queensway West,Royal York South West,South of Bloor, Etobicoke</div>`)[0];
            popup_6da7a9453cbe427e9b0aaad87c06f7bc.setContent(html_ba7579fe36774ed3b579fafa4e133576);
        

        circle_marker_82399b0354174276ad526912a6706c15.bindPopup(popup_6da7a9453cbe427e9b0aaad87c06f7bc)
        ;

        
    
    
            var circle_marker_716e8b6bc00a4f5999daf97ce17ab5c4 = L.circleMarker(
                [43.6678556, -79.53224240000002],
                {"bubblingMouseEvents": true, "color": "blue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#3186cc", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_66e86a53395244eb93d3e11165b8fe47);
        
    
        var popup_8edda942e818410c9cefb64e499fcf6f = L.popup({"maxWidth": "100%"});

        
            var html_039e44bf0ecc4d07805c68e8a9ef99c9 = $(`<div id="html_039e44bf0ecc4d07805c68e8a9ef99c9" style="width: 100.0%; height: 100.0%;">Islington Avenue, Etobicoke</div>`)[0];
            popup_8edda942e818410c9cefb64e499fcf6f.setContent(html_039e44bf0ecc4d07805c68e8a9ef99c9);
        

        circle_marker_716e8b6bc00a4f5999daf97ce17ab5c4.bindPopup(popup_8edda942e818410c9cefb64e499fcf6f)
        ;

        
    
    
            var circle_marker_70abfd03d2e846ffa56402c2a70fa783 = L.circleMarker(
                [43.6509432, -79.55472440000001],
                {"bubblingMouseEvents": true, "color": "blue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#3186cc", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_66e86a53395244eb93d3e11165b8fe47);
        
    
        var popup_7d70e7ef54234b80b98944197d9a217b = L.popup({"maxWidth": "100%"});

        
            var html_23dafb4f09ab47488c873e7058bfbb2b = $(`<div id="html_23dafb4f09ab47488c873e7058bfbb2b" style="width: 100.0%; height: 100.0%;">Cloverdale,Islington,Martin Grove,Princess Gardens,West Deane Park, Etobicoke</div>`)[0];
            popup_7d70e7ef54234b80b98944197d9a217b.setContent(html_23dafb4f09ab47488c873e7058bfbb2b);
        

        circle_marker_70abfd03d2e846ffa56402c2a70fa783.bindPopup(popup_7d70e7ef54234b80b98944197d9a217b)
        ;

        
    
    
            var circle_marker_99ad4a2b853744e0b79b19549fc1f677 = L.circleMarker(
                [43.6435152, -79.57720079999999],
                {"bubblingMouseEvents": true, "color": "blue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#3186cc", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_66e86a53395244eb93d3e11165b8fe47);
        
    
        var popup_ff26021cf92647fb9ef5e85b0e22f74c = L.popup({"maxWidth": "100%"});

        
            var html_4dac431f762549c89afd89dad3e41a45 = $(`<div id="html_4dac431f762549c89afd89dad3e41a45" style="width: 100.0%; height: 100.0%;">Bloordale Gardens,Eringate,Markland Wood,Old Burnhamthorpe, Etobicoke</div>`)[0];
            popup_ff26021cf92647fb9ef5e85b0e22f74c.setContent(html_4dac431f762549c89afd89dad3e41a45);
        

        circle_marker_99ad4a2b853744e0b79b19549fc1f677.bindPopup(popup_ff26021cf92647fb9ef5e85b0e22f74c)
        ;

        
    
    
            var circle_marker_00e1e130082044e6b4e8d5a4c8c2f808 = L.circleMarker(
                [43.7563033, -79.56596329999999],
                {"bubblingMouseEvents": true, "color": "blue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#3186cc", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_66e86a53395244eb93d3e11165b8fe47);
        
    
        var popup_f23a0d64f197499dad2f93bb591ac50e = L.popup({"maxWidth": "100%"});

        
            var html_79bd887dfd114e1088ebccb45d36d76f = $(`<div id="html_79bd887dfd114e1088ebccb45d36d76f" style="width: 100.0%; height: 100.0%;">Humber Summit, North York</div>`)[0];
            popup_f23a0d64f197499dad2f93bb591ac50e.setContent(html_79bd887dfd114e1088ebccb45d36d76f);
        

        circle_marker_00e1e130082044e6b4e8d5a4c8c2f808.bindPopup(popup_f23a0d64f197499dad2f93bb591ac50e)
        ;

        
    
    
            var circle_marker_d6803673997e4831b4618ced03a40e4f = L.circleMarker(
                [43.7247659, -79.53224240000002],
                {"bubblingMouseEvents": true, "color": "blue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#3186cc", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_66e86a53395244eb93d3e11165b8fe47);
        
    
        var popup_ddf2a780f3bc429986475596fce4deb9 = L.popup({"maxWidth": "100%"});

        
            var html_7ef40071626e4f4d9d0a30e9175ab751 = $(`<div id="html_7ef40071626e4f4d9d0a30e9175ab751" style="width: 100.0%; height: 100.0%;">Emery,Humberlea, North York</div>`)[0];
            popup_ddf2a780f3bc429986475596fce4deb9.setContent(html_7ef40071626e4f4d9d0a30e9175ab751);
        

        circle_marker_d6803673997e4831b4618ced03a40e4f.bindPopup(popup_ddf2a780f3bc429986475596fce4deb9)
        ;

        
    
    
            var circle_marker_34ad33a6646445af833c925297efccb2 = L.circleMarker(
                [43.706876, -79.51818840000001],
                {"bubblingMouseEvents": true, "color": "blue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#3186cc", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_66e86a53395244eb93d3e11165b8fe47);
        
    
        var popup_085123136c7641688979c449bbf9a22b = L.popup({"maxWidth": "100%"});

        
            var html_87757b41243741bcab8c3353db1e28bf = $(`<div id="html_87757b41243741bcab8c3353db1e28bf" style="width: 100.0%; height: 100.0%;">Weston, York</div>`)[0];
            popup_085123136c7641688979c449bbf9a22b.setContent(html_87757b41243741bcab8c3353db1e28bf);
        

        circle_marker_34ad33a6646445af833c925297efccb2.bindPopup(popup_085123136c7641688979c449bbf9a22b)
        ;

        
    
    
            var circle_marker_1ede027d53504eb2b0b146cdc8cb72e1 = L.circleMarker(
                [43.696319, -79.53224240000002],
                {"bubblingMouseEvents": true, "color": "blue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#3186cc", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_66e86a53395244eb93d3e11165b8fe47);
        
    
        var popup_e28ca6214aad4256951bf31ae40cbf83 = L.popup({"maxWidth": "100%"});

        
            var html_13159332bda84d7fb16d9a0db8fef9b2 = $(`<div id="html_13159332bda84d7fb16d9a0db8fef9b2" style="width: 100.0%; height: 100.0%;">Westmount, Etobicoke</div>`)[0];
            popup_e28ca6214aad4256951bf31ae40cbf83.setContent(html_13159332bda84d7fb16d9a0db8fef9b2);
        

        circle_marker_1ede027d53504eb2b0b146cdc8cb72e1.bindPopup(popup_e28ca6214aad4256951bf31ae40cbf83)
        ;

        
    
    
            var circle_marker_c7efd579d874404c9777d4b742e5a06f = L.circleMarker(
                [43.6889054, -79.55472440000001],
                {"bubblingMouseEvents": true, "color": "blue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#3186cc", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_66e86a53395244eb93d3e11165b8fe47);
        
    
        var popup_a191e0085b8846b682cf91c0f60875d6 = L.popup({"maxWidth": "100%"});

        
            var html_c5eed5013ed64a58ab64aa9cf89010f8 = $(`<div id="html_c5eed5013ed64a58ab64aa9cf89010f8" style="width: 100.0%; height: 100.0%;">Kingsview Village,Martin Grove Gardens,Richview Gardens,St. Phillips, Etobicoke</div>`)[0];
            popup_a191e0085b8846b682cf91c0f60875d6.setContent(html_c5eed5013ed64a58ab64aa9cf89010f8);
        

        circle_marker_c7efd579d874404c9777d4b742e5a06f.bindPopup(popup_a191e0085b8846b682cf91c0f60875d6)
        ;

        
    
    
            var circle_marker_d457154a3b614c0ea0b075f82d2d3a0b = L.circleMarker(
                [43.739416399999996, -79.5884369],
                {"bubblingMouseEvents": true, "color": "blue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#3186cc", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_66e86a53395244eb93d3e11165b8fe47);
        
    
        var popup_ad11502f625f47ba8421a30f806c50b3 = L.popup({"maxWidth": "100%"});

        
            var html_0ed884e0271a4f63940b761a1822ac36 = $(`<div id="html_0ed884e0271a4f63940b761a1822ac36" style="width: 100.0%; height: 100.0%;">Albion Gardens,Beaumond Heights,Humbergate,Jamestown,Mount Olive,Silverstone,South Steeles,Thistletown, Etobicoke</div>`)[0];
            popup_ad11502f625f47ba8421a30f806c50b3.setContent(html_0ed884e0271a4f63940b761a1822ac36);
        

        circle_marker_d457154a3b614c0ea0b075f82d2d3a0b.bindPopup(popup_ad11502f625f47ba8421a30f806c50b3)
        ;

        
    
    
            var circle_marker_bbc4a1cf41c842d8a67d5fb86e9fd3ba = L.circleMarker(
                [43.706748299999994, -79.5940544],
                {"bubblingMouseEvents": true, "color": "blue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#3186cc", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_66e86a53395244eb93d3e11165b8fe47);
        
    
        var popup_f4190d66cad14e41bcd303c391a5e9eb = L.popup({"maxWidth": "100%"});

        
            var html_f7f6fd045ecb43fe9cc20ba4cb811825 = $(`<div id="html_f7f6fd045ecb43fe9cc20ba4cb811825" style="width: 100.0%; height: 100.0%;">Northwest, Etobicoke</div>`)[0];
            popup_f4190d66cad14e41bcd303c391a5e9eb.setContent(html_f7f6fd045ecb43fe9cc20ba4cb811825);
        

        circle_marker_bbc4a1cf41c842d8a67d5fb86e9fd3ba.bindPopup(popup_f4190d66cad14e41bcd303c391a5e9eb)
        ;

        
    
</script>\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
      ],
      "text/plain": [
       "<folium.folium.Map at 0x2dd38187358>"
      ]
     },
     "execution_count": 44,
     "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(toronto_geo_data['Latitude'], toronto_geo_data['Longitude'], toronto_geo_data['Borough'], toronto_geo_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,\n",
    "        parse_html=False).add_to(map_toronto)  \n",
    "    \n",
    "map_toronto"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The geograpical coordinate of City of Toronto are 43.7170226, -79.4197830350134.\n"
     ]
    }
   ],
   "source": [
    "address = 'City of Toronto, Canada'\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 City of Toronto are {}, {}.'.format(latitude, longitude))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div style=\"width:100%;\"><div style=\"position:relative;width:100%;height:0;padding-bottom:60%;\"><iframe src=\"data:text/html;charset=utf-8;base64,<!DOCTYPE html>
<head>    
    <meta http-equiv="content-type" content="text/html; charset=UTF-8" />
    
        <script>
            L_NO_TOUCH = false;
            L_DISABLE_3D = false;
        </script>
    
    <script src="https://cdn.jsdelivr.net/npm/leaflet@1.5.1/dist/leaflet.js"></script>
    <script src="https://code.jquery.com/jquery-1.12.4.min.js"></script>
    <script src="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/js/bootstrap.min.js"></script>
    <script src="https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.js"></script>
    <link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/leaflet@1.5.1/dist/leaflet.css"/>
    <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap.min.css"/>
    <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap-theme.min.css"/>
    <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/font-awesome/4.6.3/css/font-awesome.min.css"/>
    <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.css"/>
    <link rel="stylesheet" href="https://rawcdn.githack.com/python-visualization/folium/master/folium/templates/leaflet.awesome.rotate.css"/>
    <style>html, body {width: 100%;height: 100%;margin: 0;padding: 0;}</style>
    <style>#map {position:absolute;top:0;bottom:0;right:0;left:0;}</style>
    
            <meta name="viewport" content="width=device-width,
                initial-scale=1.0, maximum-scale=1.0, user-scalable=no" />
            <style>
                #map_12acd2cfab734d2db1501c7a864e47d1 {
                    position: relative;
                    width: 100.0%;
                    height: 100.0%;
                    left: 0.0%;
                    top: 0.0%;
                }
            </style>
        
</head>
<body>    
    
            <div class="folium-map" id="map_12acd2cfab734d2db1501c7a864e47d1" ></div>
        
</body>
<script>    
    
            var map_12acd2cfab734d2db1501c7a864e47d1 = L.map(
                "map_12acd2cfab734d2db1501c7a864e47d1",
                {
                    center: [43.7170226, -79.4197830350134],
                    crs: L.CRS.EPSG3857,
                    zoom: 10,
                    zoomControl: true,
                    preferCanvas: false,
                }
            );

            

        
    
            var tile_layer_2fa893ff7f34432eabf4d21cbb31b2ac = L.tileLayer(
                "https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png",
                {"attribution": "Data by \u0026copy; \u003ca href=\"http://openstreetmap.org\"\u003eOpenStreetMap\u003c/a\u003e, under \u003ca href=\"http://www.openstreetmap.org/copyright\"\u003eODbL\u003c/a\u003e.", "detectRetina": false, "maxNativeZoom": 18, "maxZoom": 18, "minZoom": 0, "noWrap": false, "opacity": 1, "subdomains": "abc", "tms": false}
            ).addTo(map_12acd2cfab734d2db1501c7a864e47d1);
        
    
            var circle_marker_6f490c984276495781191782779ba1a1 = L.circleMarker(
                [43.67635739999999, -79.2930312],
                {"bubblingMouseEvents": true, "color": "orange", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#3186cc", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_12acd2cfab734d2db1501c7a864e47d1);
        
    
        var popup_76dc7226ac694752b5a216bd68deddb1 = L.popup({"maxWidth": "100%"});

        
            var html_911f0ffa43684c20a740c38c04fc9381 = $(`<div id="html_911f0ffa43684c20a740c38c04fc9381" style="width: 100.0%; height: 100.0%;">The Beaches, East Toronto</div>`)[0];
            popup_76dc7226ac694752b5a216bd68deddb1.setContent(html_911f0ffa43684c20a740c38c04fc9381);
        

        circle_marker_6f490c984276495781191782779ba1a1.bindPopup(popup_76dc7226ac694752b5a216bd68deddb1)
        ;

        
    
    
            var circle_marker_f92ccb70607e455fb0e8f8f16877ea17 = L.circleMarker(
                [43.6795571, -79.352188],
                {"bubblingMouseEvents": true, "color": "orange", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#3186cc", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_12acd2cfab734d2db1501c7a864e47d1);
        
    
        var popup_f0c1f463716948d0bd627c9a673b2031 = L.popup({"maxWidth": "100%"});

        
            var html_66ca1748bfd841148f04aea30df55564 = $(`<div id="html_66ca1748bfd841148f04aea30df55564" style="width: 100.0%; height: 100.0%;">The Danforth West,Riverdale, East Toronto</div>`)[0];
            popup_f0c1f463716948d0bd627c9a673b2031.setContent(html_66ca1748bfd841148f04aea30df55564);
        

        circle_marker_f92ccb70607e455fb0e8f8f16877ea17.bindPopup(popup_f0c1f463716948d0bd627c9a673b2031)
        ;

        
    
    
            var circle_marker_14a1657e4df14d73aa1af67a75d6d3e9 = L.circleMarker(
                [43.6689985, -79.31557159999998],
                {"bubblingMouseEvents": true, "color": "orange", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#3186cc", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_12acd2cfab734d2db1501c7a864e47d1);
        
    
        var popup_122832c66fd04105bf6022c093b09da8 = L.popup({"maxWidth": "100%"});

        
            var html_4734d5a0be734ab5a2a419f17cddda9f = $(`<div id="html_4734d5a0be734ab5a2a419f17cddda9f" style="width: 100.0%; height: 100.0%;">The Beaches West,India Bazaar, East Toronto</div>`)[0];
            popup_122832c66fd04105bf6022c093b09da8.setContent(html_4734d5a0be734ab5a2a419f17cddda9f);
        

        circle_marker_14a1657e4df14d73aa1af67a75d6d3e9.bindPopup(popup_122832c66fd04105bf6022c093b09da8)
        ;

        
    
    
            var circle_marker_d1aa46b516a8458388cf4b96f28abce3 = L.circleMarker(
                [43.6595255, -79.340923],
                {"bubblingMouseEvents": true, "color": "orange", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#3186cc", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_12acd2cfab734d2db1501c7a864e47d1);
        
    
        var popup_3a496f36705a4d1ca4937412b81ce29d = L.popup({"maxWidth": "100%"});

        
            var html_261f5cc756bd49bab106f65b6ef93be2 = $(`<div id="html_261f5cc756bd49bab106f65b6ef93be2" style="width: 100.0%; height: 100.0%;">Studio District, East Toronto</div>`)[0];
            popup_3a496f36705a4d1ca4937412b81ce29d.setContent(html_261f5cc756bd49bab106f65b6ef93be2);
        

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            popup_1e9c33ceefff472689339b7460b9399d.setContent(html_d235389be9a249bd8f704a51903860bb);
        

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            popup_a7b36b797cd14b2f8eb9b486e527e940.setContent(html_43eec7b2943648f488c32a9d31c1f0cd);
        

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            popup_0bb3a7b953a74bad8383d57114ec85c4.setContent(html_d9c5b28ca7ca4b06b8fbe5f1c1d1f3a8);
        

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            var circle_marker_129bb178a77c445283da0ea4a331dd61 = L.circleMarker(
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        var popup_24d86c8d3f2c47f391e41d2bf55ddf7c = L.popup({"maxWidth": "100%"});

        
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            popup_24d86c8d3f2c47f391e41d2bf55ddf7c.setContent(html_229d8166a6484187b84d762f04314186);
        

        circle_marker_129bb178a77c445283da0ea4a331dd61.bindPopup(popup_24d86c8d3f2c47f391e41d2bf55ddf7c)
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            popup_7273c8ed585c47168e23d7e2509aaec7.setContent(html_71e77094b62c4b51b8ec90e42e89c50b);
        

        circle_marker_596f49c8e1154f3eae644956d26aeaed.bindPopup(popup_7273c8ed585c47168e23d7e2509aaec7)
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            popup_eaa82a50948d47898aadee2d8a3c2732.setContent(html_193d30ca766543a7a0705e7542a8222c);
        

        circle_marker_eb8c03a9cb164a8aa33c8b5b83babc27.bindPopup(popup_eaa82a50948d47898aadee2d8a3c2732)
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            var circle_marker_025d99d970f04503b52a1dfb07484622 = L.circleMarker(
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        var popup_44b300a2446a48a38c2580af6ef0cd5e = L.popup({"maxWidth": "100%"});

        
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            popup_44b300a2446a48a38c2580af6ef0cd5e.setContent(html_efa3ba4338354d8da34ecade20931e32);
        

        circle_marker_025d99d970f04503b52a1dfb07484622.bindPopup(popup_44b300a2446a48a38c2580af6ef0cd5e)
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            var circle_marker_9046650a665347f6ba4ff0f58f17c3cc = L.circleMarker(
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                {"bubblingMouseEvents": true, "color": "orange", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#3186cc", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_12acd2cfab734d2db1501c7a864e47d1);
        
    
        var popup_0d6a80bd8ada4dbea2047b64c80c4212 = L.popup({"maxWidth": "100%"});

        
            var html_d98083ab0aa1484a98161c172bba0945 = $(`<div id="html_d98083ab0aa1484a98161c172bba0945" style="width: 100.0%; height: 100.0%;">Forest Hill North,Forest Hill West, Central Toronto</div>`)[0];
            popup_0d6a80bd8ada4dbea2047b64c80c4212.setContent(html_d98083ab0aa1484a98161c172bba0945);
        

        circle_marker_9046650a665347f6ba4ff0f58f17c3cc.bindPopup(popup_0d6a80bd8ada4dbea2047b64c80c4212)
        ;

        
    
    
            var circle_marker_15671dd6037344518439eea522b8f0de = L.circleMarker(
                [43.6727097, -79.40567840000001],
                {"bubblingMouseEvents": true, "color": "orange", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#3186cc", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_12acd2cfab734d2db1501c7a864e47d1);
        
    
        var popup_bd5acd55238341778f80eaeef55f2114 = L.popup({"maxWidth": "100%"});

        
            var html_34a2fc23cb9e4499ab244ef196a774ef = $(`<div id="html_34a2fc23cb9e4499ab244ef196a774ef" style="width: 100.0%; height: 100.0%;">The Annex,North Midtown,Yorkville, Central Toronto</div>`)[0];
            popup_bd5acd55238341778f80eaeef55f2114.setContent(html_34a2fc23cb9e4499ab244ef196a774ef);
        

        circle_marker_15671dd6037344518439eea522b8f0de.bindPopup(popup_bd5acd55238341778f80eaeef55f2114)
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            var circle_marker_0be88b636b344af9baf44b194f76238b = L.circleMarker(
                [43.6626956, -79.4000493],
                {"bubblingMouseEvents": true, "color": "orange", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#3186cc", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_12acd2cfab734d2db1501c7a864e47d1);
        
    
        var popup_b91865f233674eb69b20195a7a8857f9 = L.popup({"maxWidth": "100%"});

        
            var html_13a23824fdf1404da2c298261ee8e897 = $(`<div id="html_13a23824fdf1404da2c298261ee8e897" style="width: 100.0%; height: 100.0%;">Harbord,University of Toronto, Downtown Toronto</div>`)[0];
            popup_b91865f233674eb69b20195a7a8857f9.setContent(html_13a23824fdf1404da2c298261ee8e897);
        

        circle_marker_0be88b636b344af9baf44b194f76238b.bindPopup(popup_b91865f233674eb69b20195a7a8857f9)
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            var circle_marker_a08a654f19504f05809be64c0b677ba5 = L.circleMarker(
                [43.6532057, -79.4000493],
                {"bubblingMouseEvents": true, "color": "orange", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#3186cc", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_12acd2cfab734d2db1501c7a864e47d1);
        
    
        var popup_d20fc831e47443cd9768b545f2434e1d = L.popup({"maxWidth": "100%"});

        
            var html_6025ae93b65d4298b38efcb15c2f4893 = $(`<div id="html_6025ae93b65d4298b38efcb15c2f4893" style="width: 100.0%; height: 100.0%;">Chinatown,Grange Park,Kensington Market, Downtown Toronto</div>`)[0];
            popup_d20fc831e47443cd9768b545f2434e1d.setContent(html_6025ae93b65d4298b38efcb15c2f4893);
        

        circle_marker_a08a654f19504f05809be64c0b677ba5.bindPopup(popup_d20fc831e47443cd9768b545f2434e1d)
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            var circle_marker_47ca3aaa24c444d0a86b2db11c1fd173 = L.circleMarker(
                [43.6289467, -79.3944199],
                {"bubblingMouseEvents": true, "color": "orange", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#3186cc", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_12acd2cfab734d2db1501c7a864e47d1);
        
    
        var popup_0351a06d07aa408ab7def3ceff4c1d75 = L.popup({"maxWidth": "100%"});

        
            var html_3b88c0ab503c4563b464771860edc72b = $(`<div id="html_3b88c0ab503c4563b464771860edc72b" style="width: 100.0%; height: 100.0%;">CN Tower,Bathurst Quay,Island airport,Harbourfront West,King and Spadina,Railway Lands,South Niagara, Downtown Toronto</div>`)[0];
            popup_0351a06d07aa408ab7def3ceff4c1d75.setContent(html_3b88c0ab503c4563b464771860edc72b);
        

        circle_marker_47ca3aaa24c444d0a86b2db11c1fd173.bindPopup(popup_0351a06d07aa408ab7def3ceff4c1d75)
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            var circle_marker_a4a1a22d16874f4892b8e63151e082f1 = L.circleMarker(
                [43.6464352, -79.37484599999999],
                {"bubblingMouseEvents": true, "color": "orange", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#3186cc", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_12acd2cfab734d2db1501c7a864e47d1);
        
    
        var popup_1f2c2ee19382413b91b3045ba3408001 = L.popup({"maxWidth": "100%"});

        
            var html_2cc547a4b9af4dab8bb2bc55010bc96f = $(`<div id="html_2cc547a4b9af4dab8bb2bc55010bc96f" style="width: 100.0%; height: 100.0%;">Stn A PO Boxes 25 The Esplanade, Downtown Toronto</div>`)[0];
            popup_1f2c2ee19382413b91b3045ba3408001.setContent(html_2cc547a4b9af4dab8bb2bc55010bc96f);
        

        circle_marker_a4a1a22d16874f4892b8e63151e082f1.bindPopup(popup_1f2c2ee19382413b91b3045ba3408001)
        ;

        
    
    
            var circle_marker_3624628f06704b5fa1e384bd4e2dc1c4 = L.circleMarker(
                [43.6484292, -79.3822802],
                {"bubblingMouseEvents": true, "color": "orange", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#3186cc", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_12acd2cfab734d2db1501c7a864e47d1);
        
    
        var popup_fe4d1d30e2ad42e6bd8cc7320f93ec15 = L.popup({"maxWidth": "100%"});

        
            var html_542c7242493b4ae89da03ca004b24651 = $(`<div id="html_542c7242493b4ae89da03ca004b24651" style="width: 100.0%; height: 100.0%;">First Canadian Place,Underground city, Downtown Toronto</div>`)[0];
            popup_fe4d1d30e2ad42e6bd8cc7320f93ec15.setContent(html_542c7242493b4ae89da03ca004b24651);
        

        circle_marker_3624628f06704b5fa1e384bd4e2dc1c4.bindPopup(popup_fe4d1d30e2ad42e6bd8cc7320f93ec15)
        ;

        
    
    
            var circle_marker_1c53f21add364b1b8b5aa8587cbeb702 = L.circleMarker(
                [43.669542, -79.4225637],
                {"bubblingMouseEvents": true, "color": "orange", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#3186cc", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_12acd2cfab734d2db1501c7a864e47d1);
        
    
        var popup_646f8cab83214c6cb0db18b7f237b3a4 = L.popup({"maxWidth": "100%"});

        
            var html_4e65ef9f46d74cd29f27db74366434d6 = $(`<div id="html_4e65ef9f46d74cd29f27db74366434d6" style="width: 100.0%; height: 100.0%;">Christie, Downtown Toronto</div>`)[0];
            popup_646f8cab83214c6cb0db18b7f237b3a4.setContent(html_4e65ef9f46d74cd29f27db74366434d6);
        

        circle_marker_1c53f21add364b1b8b5aa8587cbeb702.bindPopup(popup_646f8cab83214c6cb0db18b7f237b3a4)
        ;

        
    
    
            var circle_marker_062ee843723942caaa92b51365f95416 = L.circleMarker(
                [43.66900510000001, -79.4422593],
                {"bubblingMouseEvents": true, "color": "orange", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#3186cc", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_12acd2cfab734d2db1501c7a864e47d1);
        
    
        var popup_40e3d4e7592c45639db53ab50d219acb = L.popup({"maxWidth": "100%"});

        
            var html_24aa336dba95468e8688f9852827c778 = $(`<div id="html_24aa336dba95468e8688f9852827c778" style="width: 100.0%; height: 100.0%;">Dovercourt Village,Dufferin, West Toronto</div>`)[0];
            popup_40e3d4e7592c45639db53ab50d219acb.setContent(html_24aa336dba95468e8688f9852827c778);
        

        circle_marker_062ee843723942caaa92b51365f95416.bindPopup(popup_40e3d4e7592c45639db53ab50d219acb)
        ;

        
    
    
            var circle_marker_583378d07fdb42d1b67ed2352b7240f9 = L.circleMarker(
                [43.647926700000006, -79.4197497],
                {"bubblingMouseEvents": true, "color": "orange", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#3186cc", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_12acd2cfab734d2db1501c7a864e47d1);
        
    
        var popup_9c955f233f7d4001baad06afcee86fbd = L.popup({"maxWidth": "100%"});

        
            var html_4dbe6843726d446488c20dba065e8f43 = $(`<div id="html_4dbe6843726d446488c20dba065e8f43" style="width: 100.0%; height: 100.0%;">Little Portugal,Trinity, West Toronto</div>`)[0];
            popup_9c955f233f7d4001baad06afcee86fbd.setContent(html_4dbe6843726d446488c20dba065e8f43);
        

        circle_marker_583378d07fdb42d1b67ed2352b7240f9.bindPopup(popup_9c955f233f7d4001baad06afcee86fbd)
        ;

        
    
    
            var circle_marker_879cbad8470e430db964bb465691a26d = L.circleMarker(
                [43.6368472, -79.42819140000002],
                {"bubblingMouseEvents": true, "color": "orange", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#3186cc", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_12acd2cfab734d2db1501c7a864e47d1);
        
    
        var popup_d8c904c2c08249edb07d9b385d12b282 = L.popup({"maxWidth": "100%"});

        
            var html_fd5345029a0b4149bec9fd664fc37342 = $(`<div id="html_fd5345029a0b4149bec9fd664fc37342" style="width: 100.0%; height: 100.0%;">Brockton,Exhibition Place,Parkdale Village, West Toronto</div>`)[0];
            popup_d8c904c2c08249edb07d9b385d12b282.setContent(html_fd5345029a0b4149bec9fd664fc37342);
        

        circle_marker_879cbad8470e430db964bb465691a26d.bindPopup(popup_d8c904c2c08249edb07d9b385d12b282)
        ;

        
    
    
            var circle_marker_1430142a97fe4bb1b7f9c63d3ef3d57f = L.circleMarker(
                [43.6616083, -79.46476329999999],
                {"bubblingMouseEvents": true, "color": "orange", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#3186cc", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_12acd2cfab734d2db1501c7a864e47d1);
        
    
        var popup_05004a0185a24b829741fe78164789ba = L.popup({"maxWidth": "100%"});

        
            var html_9535a189bd8940759d76ee0453689b46 = $(`<div id="html_9535a189bd8940759d76ee0453689b46" style="width: 100.0%; height: 100.0%;">High Park,The Junction South, West Toronto</div>`)[0];
            popup_05004a0185a24b829741fe78164789ba.setContent(html_9535a189bd8940759d76ee0453689b46);
        

        circle_marker_1430142a97fe4bb1b7f9c63d3ef3d57f.bindPopup(popup_05004a0185a24b829741fe78164789ba)
        ;

        
    
    
            var circle_marker_980d0d266f6e4e82a5741d142eb5f0a7 = L.circleMarker(
                [43.6489597, -79.456325],
                {"bubblingMouseEvents": true, "color": "orange", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#3186cc", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_12acd2cfab734d2db1501c7a864e47d1);
        
    
        var popup_b5ea79402e7e42b08d521bc03d305590 = L.popup({"maxWidth": "100%"});

        
            var html_5b6cda01dd534268834dd36ba65a7546 = $(`<div id="html_5b6cda01dd534268834dd36ba65a7546" style="width: 100.0%; height: 100.0%;">Parkdale,Roncesvalles, West Toronto</div>`)[0];
            popup_b5ea79402e7e42b08d521bc03d305590.setContent(html_5b6cda01dd534268834dd36ba65a7546);
        

        circle_marker_980d0d266f6e4e82a5741d142eb5f0a7.bindPopup(popup_b5ea79402e7e42b08d521bc03d305590)
        ;

        
    
    
            var circle_marker_6fefbac1a5324fefa7c5326408106a55 = L.circleMarker(
                [43.6515706, -79.4844499],
                {"bubblingMouseEvents": true, "color": "orange", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#3186cc", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_12acd2cfab734d2db1501c7a864e47d1);
        
    
        var popup_ea07fb770e484a7eb71df5e14e48d0ae = L.popup({"maxWidth": "100%"});

        
            var html_f71b3e072f0f43a88f9f26e8fe111c7e = $(`<div id="html_f71b3e072f0f43a88f9f26e8fe111c7e" style="width: 100.0%; height: 100.0%;">Runnymede,Swansea, West Toronto</div>`)[0];
            popup_ea07fb770e484a7eb71df5e14e48d0ae.setContent(html_f71b3e072f0f43a88f9f26e8fe111c7e);
        

        circle_marker_6fefbac1a5324fefa7c5326408106a55.bindPopup(popup_ea07fb770e484a7eb71df5e14e48d0ae)
        ;

        
    
    
            var circle_marker_244cb85822e44ad2b15efbafa65cafc8 = L.circleMarker(
                [43.6627439, -79.321558],
                {"bubblingMouseEvents": true, "color": "orange", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#3186cc", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_12acd2cfab734d2db1501c7a864e47d1);
        
    
        var popup_0b41cbaacd764b61a2f7f8d52d134463 = L.popup({"maxWidth": "100%"});

        
            var html_2e68e49153da4dc7b4dc4948ca6860ec = $(`<div id="html_2e68e49153da4dc7b4dc4948ca6860ec" style="width: 100.0%; height: 100.0%;">Business Reply Mail Processing Centre 969 Eastern, East Toronto</div>`)[0];
            popup_0b41cbaacd764b61a2f7f8d52d134463.setContent(html_2e68e49153da4dc7b4dc4948ca6860ec);
        

        circle_marker_244cb85822e44ad2b15efbafa65cafc8.bindPopup(popup_0b41cbaacd764b61a2f7f8d52d134463)
        ;

        
    
</script>\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
      ],
      "text/plain": [
       "<folium.folium.Map at 0x2dd38126b70>"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# create map of Toronto using latitude and longitude values\n",
    "map_torontocity = folium.Map(location=[latitude, longitude], zoom_start=10)\n",
    "\n",
    "# add markers to map\n",
    "for lat, lng, borough, neighborhood in zip(torontocity_data['Latitude'], torontocity_data['Longitude'], torontocity_data['Borough'], torontocity_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='orange',\n",
    "        fill=True,\n",
    "        fill_color='#3186cc',\n",
    "        fill_opacity=0.7,\n",
    "        parse_html=False).add_to(map_torontocity)  \n",
    "    \n",
    "map_torontocity"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Postcode</th>\n",
       "      <th>Borough</th>\n",
       "      <th>Neighborhood</th>\n",
       "      <th>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>The Beaches West,India Bazaar</td>\n",
       "      <td>43.668999</td>\n",
       "      <td>-79.315572</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>M4M</td>\n",
       "      <td>East Toronto</td>\n",
       "      <td>Studio District</td>\n",
       "      <td>43.659526</td>\n",
       "      <td>-79.340923</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>M4N</td>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>Lawrence Park</td>\n",
       "      <td>43.728020</td>\n",
       "      <td>-79.388790</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Postcode          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  The Beaches West,India Bazaar  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": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "torontocity_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'The Beaches'"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "torontocity_data.loc[0,\"Neighborhood\"]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Define foursquare credentials"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Your credentails:\n",
      "CLIENT_ID: QAAXEG33DEMRTLWRYYW43Y5AD1NQNVBAHYLJOKH5X3BWAPUW\n",
      "CLIENT_SECRET:ZF0ULWL3DYUWTOHCP2BMARVZ2GUPAK535I0XPASB4EUO3O0B\n"
     ]
    }
   ],
   "source": [
    "CLIENT_ID = 'QAAXEG33DEMRTLWRYYW43Y5AD1NQNVBAHYLJOKH5X3BWAPUW' # Foursquare ID\n",
    "CLIENT_SECRET = 'ZF0ULWL3DYUWTOHCP2BMARVZ2GUPAK535I0XPASB4EUO3O0B' # Foursquare Secret\n",
    "VERSION = '20180605' # Foursquare API version\n",
    "\n",
    "print('Your credentails:')\n",
    "print('CLIENT_ID: ' + CLIENT_ID)\n",
    "print('CLIENT_SECRET:' + CLIENT_SECRET)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Let's get the latitude and longitude of this neighbourhood"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Latitude and longitude values of The Beaches are 43.67635739999999, -79.2930312.\n"
     ]
    }
   ],
   "source": [
    "neighborhood_latitude = torontocity_data.loc[0, 'Latitude'] # neighborhood latitude value\n",
    "neighborhood_longitude = torontocity_data.loc[0, 'Longitude'] # neighborhood longitude value\n",
    "\n",
    "neighborhood_name = torontocity_data.loc[0, 'Neighborhood'] # neighborhood name\n",
    "\n",
    "print('Latitude and longitude values of {} are {}, {}.'.format(neighborhood_name, \n",
    "                                                               neighborhood_latitude, \n",
    "                                                               neighborhood_longitude))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Let's get the list of top venues in this neighbourhood"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'https://api.foursquare.com/v2/venues/explore?&client_id=QAAXEG33DEMRTLWRYYW43Y5AD1NQNVBAHYLJOKH5X3BWAPUW&client_secret=ZF0ULWL3DYUWTOHCP2BMARVZ2GUPAK535I0XPASB4EUO3O0B&v=20180605&ll=43.67635739999999,-79.2930312&radius=500&limit=100'"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "radius=500\n",
    "LIMIT=100\n",
    "\n",
    "# type your answer here\n",
    "url = 'https://api.foursquare.com/v2/venues/explore?&client_id={}&client_secret={}&v={}&ll={},{}&radius={}&limit={}'.format(\n",
    "    CLIENT_ID, \n",
    "    CLIENT_SECRET, \n",
    "    VERSION, \n",
    "    neighborhood_latitude, \n",
    "    neighborhood_longitude, \n",
    "    radius, \n",
    "    LIMIT)\n",
    "url # display URL"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Set the Get request and examine the result"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'meta': {'code': 200, 'requestId': '5d6b1b809ba3e5002cf173bd'},\n",
       " 'response': {'headerLocation': 'The Beaches',\n",
       "  'headerFullLocation': 'The Beaches, Toronto',\n",
       "  'headerLocationGranularity': 'neighborhood',\n",
       "  'totalResults': 4,\n",
       "  'suggestedBounds': {'ne': {'lat': 43.680857404499996,\n",
       "    'lng': -79.28682091449052},\n",
       "   'sw': {'lat': 43.67185739549999, 'lng': -79.29924148550948}},\n",
       "  'groups': [{'type': 'Recommended Places',\n",
       "    'name': 'recommended',\n",
       "    'items': [{'reasons': {'count': 0,\n",
       "       'items': [{'summary': 'This spot is popular',\n",
       "         'type': 'general',\n",
       "         'reasonName': 'globalInteractionReason'}]},\n",
       "      'venue': {'id': '4bd461bc77b29c74a07d9282',\n",
       "       'name': 'Glen Manor Ravine',\n",
       "       'location': {'address': 'Glen Manor',\n",
       "        'crossStreet': 'Queen St.',\n",
       "        'lat': 43.67682094413784,\n",
       "        'lng': -79.29394208780985,\n",
       "        'labeledLatLngs': [{'label': 'display',\n",
       "          'lat': 43.67682094413784,\n",
       "          'lng': -79.29394208780985}],\n",
       "        'distance': 89,\n",
       "        'cc': 'CA',\n",
       "        'city': 'Toronto',\n",
       "        'state': 'ON',\n",
       "        'country': 'Canada',\n",
       "        'formattedAddress': ['Glen Manor (Queen St.)',\n",
       "         'Toronto ON',\n",
       "         'Canada']},\n",
       "       'categories': [{'id': '4bf58dd8d48988d159941735',\n",
       "         'name': 'Trail',\n",
       "         'pluralName': 'Trails',\n",
       "         'shortName': 'Trail',\n",
       "         'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/parks_outdoors/hikingtrail_',\n",
       "          'suffix': '.png'},\n",
       "         'primary': True}],\n",
       "       'photos': {'count': 0, 'groups': []}},\n",
       "      'referralId': 'e-0-4bd461bc77b29c74a07d9282-0'},\n",
       "     {'reasons': {'count': 0,\n",
       "       'items': [{'summary': 'This spot is popular',\n",
       "         'type': 'general',\n",
       "         'reasonName': 'globalInteractionReason'}]},\n",
       "      'venue': {'id': '4ad4c062f964a52011f820e3',\n",
       "       'name': 'The Big Carrot Natural Food Market',\n",
       "       'location': {'address': '125 Southwood Dr',\n",
       "        'lat': 43.678879,\n",
       "        'lng': -79.297734,\n",
       "        'labeledLatLngs': [{'label': 'display',\n",
       "          'lat': 43.678879,\n",
       "          'lng': -79.297734}],\n",
       "        'distance': 471,\n",
       "        'postalCode': 'M4E 0B8',\n",
       "        'cc': 'CA',\n",
       "        'city': 'Toronto',\n",
       "        'state': 'ON',\n",
       "        'country': 'Canada',\n",
       "        'formattedAddress': ['125 Southwood Dr',\n",
       "         'Toronto ON M4E 0B8',\n",
       "         'Canada']},\n",
       "       'categories': [{'id': '50aa9e744b90af0d42d5de0e',\n",
       "         'name': 'Health Food Store',\n",
       "         'pluralName': 'Health Food Stores',\n",
       "         'shortName': 'Health Food Store',\n",
       "         'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/shops/food_grocery_',\n",
       "          'suffix': '.png'},\n",
       "         'primary': True}],\n",
       "       'photos': {'count': 0, 'groups': []},\n",
       "       'venuePage': {'id': '75150878'}},\n",
       "      'referralId': 'e-0-4ad4c062f964a52011f820e3-1'},\n",
       "     {'reasons': {'count': 0,\n",
       "       'items': [{'summary': 'This spot is popular',\n",
       "         'type': 'general',\n",
       "         'reasonName': 'globalInteractionReason'}]},\n",
       "      'venue': {'id': '4b8daea1f964a520480833e3',\n",
       "       'name': 'Grover Pub and Grub',\n",
       "       'location': {'address': '676 Kingston Rd.',\n",
       "        'crossStreet': 'at Main St.',\n",
       "        'lat': 43.679181434941015,\n",
       "        'lng': -79.29721535878515,\n",
       "        'labeledLatLngs': [{'label': 'display',\n",
       "          'lat': 43.679181434941015,\n",
       "          'lng': -79.29721535878515}],\n",
       "        'distance': 460,\n",
       "        'postalCode': 'M4E 1R4',\n",
       "        'cc': 'CA',\n",
       "        'city': 'Toronto',\n",
       "        'state': 'ON',\n",
       "        'country': 'Canada',\n",
       "        'formattedAddress': ['676 Kingston Rd. (at Main St.)',\n",
       "         'Toronto ON M4E 1R4',\n",
       "         'Canada']},\n",
       "       'categories': [{'id': '4bf58dd8d48988d11b941735',\n",
       "         'name': 'Pub',\n",
       "         'pluralName': 'Pubs',\n",
       "         'shortName': 'Pub',\n",
       "         'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/nightlife/pub_',\n",
       "          'suffix': '.png'},\n",
       "         'primary': True}],\n",
       "       'photos': {'count': 0, 'groups': []}},\n",
       "      'referralId': 'e-0-4b8daea1f964a520480833e3-2'},\n",
       "     {'reasons': {'count': 0,\n",
       "       'items': [{'summary': 'This spot is popular',\n",
       "         'type': 'general',\n",
       "         'reasonName': 'globalInteractionReason'}]},\n",
       "      'venue': {'id': '4df91c4bae60f95f82229ad5',\n",
       "       'name': 'Upper Beaches',\n",
       "       'location': {'lat': 43.68056321147582,\n",
       "        'lng': -79.2928688743688,\n",
       "        'labeledLatLngs': [{'label': 'display',\n",
       "          'lat': 43.68056321147582,\n",
       "          'lng': -79.2928688743688}],\n",
       "        'distance': 468,\n",
       "        'cc': 'CA',\n",
       "        'city': 'Toronto',\n",
       "        'state': 'ON',\n",
       "        'country': 'Canada',\n",
       "        'formattedAddress': ['Toronto ON', 'Canada']},\n",
       "       'categories': [{'id': '4f2a25ac4b909258e854f55f',\n",
       "         'name': 'Neighborhood',\n",
       "         'pluralName': 'Neighborhoods',\n",
       "         'shortName': 'Neighborhood',\n",
       "         'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/parks_outdoors/neighborhood_',\n",
       "          'suffix': '.png'},\n",
       "         'primary': True}],\n",
       "       'photos': {'count': 0, 'groups': []}},\n",
       "      'referralId': 'e-0-4df91c4bae60f95f82229ad5-3'}]}]}}"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "results = requests.get(url).json()\n",
    "results"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Creating categories and dataframe for each category"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [],
   "source": [
    "# function that extracts the category of the venue\n",
    "def get_category_type(row):\n",
    "    try:\n",
    "        categories_list = row['categories']\n",
    "    except:\n",
    "        categories_list = row['venue.categories']\n",
    "        \n",
    "    if len(categories_list) == 0:\n",
    "        return None\n",
    "    else:\n",
    "        return categories_list[0]['name']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "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>name</th>\n",
       "      <th>categories</th>\n",
       "      <th>lat</th>\n",
       "      <th>lng</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Glen Manor Ravine</td>\n",
       "      <td>Trail</td>\n",
       "      <td>43.676821</td>\n",
       "      <td>-79.293942</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>The Big Carrot Natural Food Market</td>\n",
       "      <td>Health Food Store</td>\n",
       "      <td>43.678879</td>\n",
       "      <td>-79.297734</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Grover Pub and Grub</td>\n",
       "      <td>Pub</td>\n",
       "      <td>43.679181</td>\n",
       "      <td>-79.297215</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Upper Beaches</td>\n",
       "      <td>Neighborhood</td>\n",
       "      <td>43.680563</td>\n",
       "      <td>-79.292869</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                 name         categories        lat        lng\n",
       "0                   Glen Manor Ravine              Trail  43.676821 -79.293942\n",
       "1  The Big Carrot Natural Food Market  Health Food Store  43.678879 -79.297734\n",
       "2                 Grover Pub and Grub                Pub  43.679181 -79.297215\n",
       "3                       Upper Beaches       Neighborhood  43.680563 -79.292869"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "venues = results['response']['groups'][0]['items']\n",
    "    \n",
    "nearby_venues = json_normalize(venues) # flatten JSON\n",
    "\n",
    "# filter columns\n",
    "filtered_columns = ['venue.name', 'venue.categories', 'venue.location.lat', 'venue.location.lng']\n",
    "nearby_venues =nearby_venues.loc[:, filtered_columns]\n",
    "\n",
    "# filter the category for each row\n",
    "nearby_venues['venue.categories'] = nearby_venues.apply(get_category_type, axis=1)\n",
    "\n",
    "# clean columns\n",
    "nearby_venues.columns = [col.split(\".\")[-1] for col in nearby_venues.columns]\n",
    "\n",
    "nearby_venues.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "4 venues were returned by Foursquare.\n"
     ]
    }
   ],
   "source": [
    "print('{} venues were returned by Foursquare.'.format(nearby_venues.shape[0]))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Let's create a function to repeat the same process to all the neighborhoods in Toronto City"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [],
   "source": [
    "def getNearbyVenues(names, latitudes, longitudes, radius=500):\n",
    "    \n",
    "    venues_list=[]\n",
    "    for name, lat, lng in zip(names, latitudes, longitudes):\n",
    "        print(name)\n",
    "            \n",
    "        # create the API request URL\n",
    "        url = 'https://api.foursquare.com/v2/venues/explore?&client_id={}&client_secret={}&v={}&ll={},{}&radius={}&limit={}'.format(\n",
    "            CLIENT_ID, \n",
    "            CLIENT_SECRET, \n",
    "            VERSION, \n",
    "            lat, \n",
    "            lng, \n",
    "            radius, \n",
    "            LIMIT)\n",
    "            \n",
    "        # make the GET request\n",
    "        results = requests.get(url).json()[\"response\"]['groups'][0]['items']\n",
    "        \n",
    "        # return only relevant information for each nearby venue\n",
    "        venues_list.append([(\n",
    "            name, \n",
    "            lat, \n",
    "            lng, \n",
    "            v['venue']['name'], \n",
    "            v['venue']['location']['lat'], \n",
    "            v['venue']['location']['lng'],  \n",
    "            v['venue']['categories'][0]['name']) for v in results])\n",
    "\n",
    "    nearby_venues = pd.DataFrame([item for venue_list in venues_list for item in venue_list])\n",
    "    nearby_venues.columns = ['Neighborhood', \n",
    "                  'Neighborhood Latitude', \n",
    "                  'Neighborhood Longitude', \n",
    "                  'Venue', \n",
    "                  'Venue Latitude', \n",
    "                  'Venue Longitude', \n",
    "                  'Venue Category']\n",
    "    \n",
    "    return(nearby_venues)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The Beaches\n",
      "The Danforth West,Riverdale\n",
      "The Beaches West,India Bazaar\n",
      "Studio District\n",
      "Lawrence Park\n",
      "Davisville North\n",
      "North Toronto West\n",
      "Davisville\n",
      "Moore Park,Summerhill East\n",
      "Deer Park,Forest Hill SE,Rathnelly,South Hill,Summerhill West\n",
      "Rosedale\n",
      "Cabbagetown,St. James Town\n",
      "Church and Wellesley\n",
      "Harbourfront,Regent Park\n",
      "Ryerson,Garden District\n",
      "St. James Town\n",
      "Berczy Park\n",
      "Central Bay Street\n",
      "Adelaide,King,Richmond\n",
      "Harbourfront East,Toronto Islands,Union Station\n",
      "Design Exchange,Toronto Dominion Centre\n",
      "Commerce Court,Victoria Hotel\n",
      "Roselawn\n",
      "Forest Hill North,Forest Hill West\n",
      "The Annex,North Midtown,Yorkville\n",
      "Harbord,University of Toronto\n",
      "Chinatown,Grange Park,Kensington Market\n",
      "CN Tower,Bathurst Quay,Island airport,Harbourfront West,King and Spadina,Railway Lands,South Niagara\n",
      "Stn A PO Boxes 25 The Esplanade\n",
      "First Canadian Place,Underground city\n",
      "Christie\n",
      "Dovercourt Village,Dufferin\n",
      "Little Portugal,Trinity\n",
      "Brockton,Exhibition Place,Parkdale Village\n",
      "High Park,The Junction South\n",
      "Parkdale,Roncesvalles\n",
      "Runnymede,Swansea\n",
      "Business Reply Mail Processing Centre 969 Eastern\n"
     ]
    }
   ],
   "source": [
    "# type your answer here\n",
    "\n",
    "toronto_venues = getNearbyVenues(names=torontocity_data['Neighborhood'],\n",
    "                                   latitudes=torontocity_data['Latitude'],\n",
    "                                   longitudes=torontocity_data['Longitude']\n",
    "                                  )\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(1706, 7)\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>Neighborhood</th>\n",
       "      <th>Neighborhood Latitude</th>\n",
       "      <th>Neighborhood 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>The Beaches</td>\n",
       "      <td>43.676357</td>\n",
       "      <td>-79.293031</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>The Beaches</td>\n",
       "      <td>43.676357</td>\n",
       "      <td>-79.293031</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>The Beaches</td>\n",
       "      <td>43.676357</td>\n",
       "      <td>-79.293031</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>The Beaches</td>\n",
       "      <td>43.676357</td>\n",
       "      <td>-79.293031</td>\n",
       "      <td>Upper Beaches</td>\n",
       "      <td>43.680563</td>\n",
       "      <td>-79.292869</td>\n",
       "      <td>Neighborhood</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>The Danforth West,Riverdale</td>\n",
       "      <td>43.679557</td>\n",
       "      <td>-79.352188</td>\n",
       "      <td>Pantheon</td>\n",
       "      <td>43.677621</td>\n",
       "      <td>-79.351434</td>\n",
       "      <td>Greek Restaurant</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  Neighborhood  Neighborhood Latitude  Neighborhood Longitude  \\\n",
       "0                  The Beaches              43.676357              -79.293031   \n",
       "1                  The Beaches              43.676357              -79.293031   \n",
       "2                  The Beaches              43.676357              -79.293031   \n",
       "3                  The Beaches              43.676357              -79.293031   \n",
       "4  The Danforth West,Riverdale              43.679557              -79.352188   \n",
       "\n",
       "                                Venue  Venue Latitude  Venue Longitude  \\\n",
       "0                   Glen Manor Ravine       43.676821       -79.293942   \n",
       "1  The Big Carrot Natural Food Market       43.678879       -79.297734   \n",
       "2                 Grover Pub and Grub       43.679181       -79.297215   \n",
       "3                       Upper Beaches       43.680563       -79.292869   \n",
       "4                            Pantheon       43.677621       -79.351434   \n",
       "\n",
       "      Venue Category  \n",
       "0              Trail  \n",
       "1  Health Food Store  \n",
       "2                Pub  \n",
       "3       Neighborhood  \n",
       "4   Greek Restaurant  "
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(toronto_venues.shape)\n",
    "toronto_venues.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Neighborhood Latitude</th>\n",
       "      <th>Neighborhood 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>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>Adelaide,King,Richmond</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>Berczy Park</th>\n",
       "      <td>56</td>\n",
       "      <td>56</td>\n",
       "      <td>56</td>\n",
       "      <td>56</td>\n",
       "      <td>56</td>\n",
       "      <td>56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Brockton,Exhibition Place,Parkdale Village</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>Business Reply Mail Processing Centre 969 Eastern</th>\n",
       "      <td>17</td>\n",
       "      <td>17</td>\n",
       "      <td>17</td>\n",
       "      <td>17</td>\n",
       "      <td>17</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CN Tower,Bathurst Quay,Island airport,Harbourfront West,King and Spadina,Railway Lands,South Niagara</th>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cabbagetown,St. James Town</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>Central Bay Street</th>\n",
       "      <td>86</td>\n",
       "      <td>86</td>\n",
       "      <td>86</td>\n",
       "      <td>86</td>\n",
       "      <td>86</td>\n",
       "      <td>86</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Chinatown,Grange Park,Kensington Market</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>Christie</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>Church and Wellesley</th>\n",
       "      <td>86</td>\n",
       "      <td>86</td>\n",
       "      <td>86</td>\n",
       "      <td>86</td>\n",
       "      <td>86</td>\n",
       "      <td>86</td>\n",
       "    </tr>\n",
       "    <tr>\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>Davisville</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>Davisville North</th>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Deer Park,Forest Hill SE,Rathnelly,South Hill,Summerhill West</th>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Design Exchange,Toronto Dominion Centre</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>Dovercourt Village,Dufferin</th>\n",
       "      <td>17</td>\n",
       "      <td>17</td>\n",
       "      <td>17</td>\n",
       "      <td>17</td>\n",
       "      <td>17</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\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>Forest Hill North,Forest Hill West</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>Harbord,University of Toronto</th>\n",
       "      <td>35</td>\n",
       "      <td>35</td>\n",
       "      <td>35</td>\n",
       "      <td>35</td>\n",
       "      <td>35</td>\n",
       "      <td>35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Harbourfront East,Toronto Islands,Union Station</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>Harbourfront,Regent Park</th>\n",
       "      <td>51</td>\n",
       "      <td>51</td>\n",
       "      <td>51</td>\n",
       "      <td>51</td>\n",
       "      <td>51</td>\n",
       "      <td>51</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>High Park,The Junction South</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>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>Little Portugal,Trinity</th>\n",
       "      <td>66</td>\n",
       "      <td>66</td>\n",
       "      <td>66</td>\n",
       "      <td>66</td>\n",
       "      <td>66</td>\n",
       "      <td>66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Moore Park,Summerhill East</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>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>Parkdale,Roncesvalles</th>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rosedale</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>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>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>Ryerson,Garden District</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>St. James Town</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>Stn A PO Boxes 25 The Esplanade</th>\n",
       "      <td>97</td>\n",
       "      <td>97</td>\n",
       "      <td>97</td>\n",
       "      <td>97</td>\n",
       "      <td>97</td>\n",
       "      <td>97</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Studio District</th>\n",
       "      <td>39</td>\n",
       "      <td>39</td>\n",
       "      <td>39</td>\n",
       "      <td>39</td>\n",
       "      <td>39</td>\n",
       "      <td>39</td>\n",
       "    </tr>\n",
       "    <tr>\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>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>The Beaches West,India Bazaar</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>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",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                    Neighborhood Latitude  \\\n",
       "Neighborhood                                                                \n",
       "Adelaide,King,Richmond                                                100   \n",
       "Berczy Park                                                            56   \n",
       "Brockton,Exhibition Place,Parkdale Village                             22   \n",
       "Business Reply Mail Processing Centre 969 Eastern                      17   \n",
       "CN Tower,Bathurst Quay,Island airport,Harbourfr...                     15   \n",
       "Cabbagetown,St. James Town                                             43   \n",
       "Central Bay Street                                                     86   \n",
       "Chinatown,Grange Park,Kensington Market                               100   \n",
       "Christie                                                               16   \n",
       "Church and Wellesley                                                   86   \n",
       "Commerce Court,Victoria Hotel                                         100   \n",
       "Davisville                                                             34   \n",
       "Davisville North                                                        9   \n",
       "Deer Park,Forest Hill SE,Rathnelly,South Hill,S...                     15   \n",
       "Design Exchange,Toronto Dominion Centre                               100   \n",
       "Dovercourt Village,Dufferin                                            17   \n",
       "First Canadian Place,Underground city                                 100   \n",
       "Forest Hill North,Forest Hill West                                      4   \n",
       "Harbord,University of Toronto                                          35   \n",
       "Harbourfront East,Toronto Islands,Union Station                       100   \n",
       "Harbourfront,Regent Park                                               51   \n",
       "High Park,The Junction South                                           23   \n",
       "Lawrence Park                                                           4   \n",
       "Little Portugal,Trinity                                                66   \n",
       "Moore Park,Summerhill East                                              4   \n",
       "North Toronto West                                                     21   \n",
       "Parkdale,Roncesvalles                                                  15   \n",
       "Rosedale                                                                5   \n",
       "Roselawn                                                                1   \n",
       "Runnymede,Swansea                                                      37   \n",
       "Ryerson,Garden District                                               100   \n",
       "St. James Town                                                        100   \n",
       "Stn A PO Boxes 25 The Esplanade                                        97   \n",
       "Studio District                                                        39   \n",
       "The Annex,North Midtown,Yorkville                                      23   \n",
       "The Beaches                                                             4   \n",
       "The Beaches West,India Bazaar                                          18   \n",
       "The Danforth West,Riverdale                                            43   \n",
       "\n",
       "                                                    Neighborhood Longitude  \\\n",
       "Neighborhood                                                                 \n",
       "Adelaide,King,Richmond                                                 100   \n",
       "Berczy Park                                                             56   \n",
       "Brockton,Exhibition Place,Parkdale Village                              22   \n",
       "Business Reply Mail Processing Centre 969 Eastern                       17   \n",
       "CN Tower,Bathurst Quay,Island airport,Harbourfr...                      15   \n",
       "Cabbagetown,St. James Town                                              43   \n",
       "Central Bay Street                                                      86   \n",
       "Chinatown,Grange Park,Kensington Market                                100   \n",
       "Christie                                                                16   \n",
       "Church and Wellesley                                                    86   \n",
       "Commerce Court,Victoria Hotel                                          100   \n",
       "Davisville                                                              34   \n",
       "Davisville North                                                         9   \n",
       "Deer Park,Forest Hill SE,Rathnelly,South Hill,S...                      15   \n",
       "Design Exchange,Toronto Dominion Centre                                100   \n",
       "Dovercourt Village,Dufferin                                             17   \n",
       "First Canadian Place,Underground city                                  100   \n",
       "Forest Hill North,Forest Hill West                                       4   \n",
       "Harbord,University of Toronto                                           35   \n",
       "Harbourfront East,Toronto Islands,Union Station                        100   \n",
       "Harbourfront,Regent Park                                                51   \n",
       "High Park,The Junction South                                            23   \n",
       "Lawrence Park                                                            4   \n",
       "Little Portugal,Trinity                                                 66   \n",
       "Moore Park,Summerhill East                                               4   \n",
       "North Toronto West                                                      21   \n",
       "Parkdale,Roncesvalles                                                   15   \n",
       "Rosedale                                                                 5   \n",
       "Roselawn                                                                 1   \n",
       "Runnymede,Swansea                                                       37   \n",
       "Ryerson,Garden District                                                100   \n",
       "St. James Town                                                         100   \n",
       "Stn A PO Boxes 25 The Esplanade                                         97   \n",
       "Studio District                                                         39   \n",
       "The Annex,North Midtown,Yorkville                                       23   \n",
       "The Beaches                                                              4   \n",
       "The Beaches West,India Bazaar                                           18   \n",
       "The Danforth West,Riverdale                                             43   \n",
       "\n",
       "                                                    Venue  Venue Latitude  \\\n",
       "Neighborhood                                                                \n",
       "Adelaide,King,Richmond                                100             100   \n",
       "Berczy Park                                            56              56   \n",
       "Brockton,Exhibition Place,Parkdale Village             22              22   \n",
       "Business Reply Mail Processing Centre 969 Eastern      17              17   \n",
       "CN Tower,Bathurst Quay,Island airport,Harbourfr...     15              15   \n",
       "Cabbagetown,St. James Town                             43              43   \n",
       "Central Bay Street                                     86              86   \n",
       "Chinatown,Grange Park,Kensington Market               100             100   \n",
       "Christie                                               16              16   \n",
       "Church and Wellesley                                   86              86   \n",
       "Commerce Court,Victoria Hotel                         100             100   \n",
       "Davisville                                             34              34   \n",
       "Davisville North                                        9               9   \n",
       "Deer Park,Forest Hill SE,Rathnelly,South Hill,S...     15              15   \n",
       "Design Exchange,Toronto Dominion Centre               100             100   \n",
       "Dovercourt Village,Dufferin                            17              17   \n",
       "First Canadian Place,Underground city                 100             100   \n",
       "Forest Hill North,Forest Hill West                      4               4   \n",
       "Harbord,University of Toronto                          35              35   \n",
       "Harbourfront East,Toronto Islands,Union Station       100             100   \n",
       "Harbourfront,Regent Park                               51              51   \n",
       "High Park,The Junction South                           23              23   \n",
       "Lawrence Park                                           4               4   \n",
       "Little Portugal,Trinity                                66              66   \n",
       "Moore Park,Summerhill East                              4               4   \n",
       "North Toronto West                                     21              21   \n",
       "Parkdale,Roncesvalles                                  15              15   \n",
       "Rosedale                                                5               5   \n",
       "Roselawn                                                1               1   \n",
       "Runnymede,Swansea                                      37              37   \n",
       "Ryerson,Garden District                               100             100   \n",
       "St. James Town                                        100             100   \n",
       "Stn A PO Boxes 25 The Esplanade                        97              97   \n",
       "Studio District                                        39              39   \n",
       "The Annex,North Midtown,Yorkville                      23              23   \n",
       "The Beaches                                             4               4   \n",
       "The Beaches West,India Bazaar                          18              18   \n",
       "The Danforth West,Riverdale                            43              43   \n",
       "\n",
       "                                                    Venue Longitude  \\\n",
       "Neighborhood                                                          \n",
       "Adelaide,King,Richmond                                          100   \n",
       "Berczy Park                                                      56   \n",
       "Brockton,Exhibition Place,Parkdale Village                       22   \n",
       "Business Reply Mail Processing Centre 969 Eastern                17   \n",
       "CN Tower,Bathurst Quay,Island airport,Harbourfr...               15   \n",
       "Cabbagetown,St. James Town                                       43   \n",
       "Central Bay Street                                               86   \n",
       "Chinatown,Grange Park,Kensington Market                         100   \n",
       "Christie                                                         16   \n",
       "Church and Wellesley                                             86   \n",
       "Commerce Court,Victoria Hotel                                   100   \n",
       "Davisville                                                       34   \n",
       "Davisville North                                                  9   \n",
       "Deer Park,Forest Hill SE,Rathnelly,South Hill,S...               15   \n",
       "Design Exchange,Toronto Dominion Centre                         100   \n",
       "Dovercourt Village,Dufferin                                      17   \n",
       "First Canadian Place,Underground city                           100   \n",
       "Forest Hill North,Forest Hill West                                4   \n",
       "Harbord,University of Toronto                                    35   \n",
       "Harbourfront East,Toronto Islands,Union Station                 100   \n",
       "Harbourfront,Regent Park                                         51   \n",
       "High Park,The Junction South                                     23   \n",
       "Lawrence Park                                                     4   \n",
       "Little Portugal,Trinity                                          66   \n",
       "Moore Park,Summerhill East                                        4   \n",
       "North Toronto West                                               21   \n",
       "Parkdale,Roncesvalles                                            15   \n",
       "Rosedale                                                          5   \n",
       "Roselawn                                                          1   \n",
       "Runnymede,Swansea                                                37   \n",
       "Ryerson,Garden District                                         100   \n",
       "St. James Town                                                  100   \n",
       "Stn A PO Boxes 25 The Esplanade                                  97   \n",
       "Studio District                                                  39   \n",
       "The Annex,North Midtown,Yorkville                                23   \n",
       "The Beaches                                                       4   \n",
       "The Beaches West,India Bazaar                                    18   \n",
       "The Danforth West,Riverdale                                      43   \n",
       "\n",
       "                                                    Venue Category  \n",
       "Neighborhood                                                        \n",
       "Adelaide,King,Richmond                                         100  \n",
       "Berczy Park                                                     56  \n",
       "Brockton,Exhibition Place,Parkdale Village                      22  \n",
       "Business Reply Mail Processing Centre 969 Eastern               17  \n",
       "CN Tower,Bathurst Quay,Island airport,Harbourfr...              15  \n",
       "Cabbagetown,St. James Town                                      43  \n",
       "Central Bay Street                                              86  \n",
       "Chinatown,Grange Park,Kensington Market                        100  \n",
       "Christie                                                        16  \n",
       "Church and Wellesley                                            86  \n",
       "Commerce Court,Victoria Hotel                                  100  \n",
       "Davisville                                                      34  \n",
       "Davisville North                                                 9  \n",
       "Deer Park,Forest Hill SE,Rathnelly,South Hill,S...              15  \n",
       "Design Exchange,Toronto Dominion Centre                        100  \n",
       "Dovercourt Village,Dufferin                                     17  \n",
       "First Canadian Place,Underground city                          100  \n",
       "Forest Hill North,Forest Hill West                               4  \n",
       "Harbord,University of Toronto                                   35  \n",
       "Harbourfront East,Toronto Islands,Union Station                100  \n",
       "Harbourfront,Regent Park                                        51  \n",
       "High Park,The Junction South                                    23  \n",
       "Lawrence Park                                                    4  \n",
       "Little Portugal,Trinity                                         66  \n",
       "Moore Park,Summerhill East                                       4  \n",
       "North Toronto West                                              21  \n",
       "Parkdale,Roncesvalles                                           15  \n",
       "Rosedale                                                         5  \n",
       "Roselawn                                                         1  \n",
       "Runnymede,Swansea                                               37  \n",
       "Ryerson,Garden District                                        100  \n",
       "St. James Town                                                 100  \n",
       "Stn A PO Boxes 25 The Esplanade                                 97  \n",
       "Studio District                                                 39  \n",
       "The Annex,North Midtown,Yorkville                               23  \n",
       "The Beaches                                                      4  \n",
       "The Beaches West,India Bazaar                                   18  \n",
       "The Danforth West,Riverdale                                     43  "
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "toronto_venues.groupby('Neighborhood').count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "There are 236 uniques categories.\n"
     ]
    }
   ],
   "source": [
    "print('There are {} uniques categories.'.format(len(toronto_venues['Venue Category'].unique())))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Analyzing each neighbourhood"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Yoga Studio</th>\n",
       "      <th>Afghan Restaurant</th>\n",
       "      <th>Airport</th>\n",
       "      <th>Airport Food Court</th>\n",
       "      <th>Airport Gate</th>\n",
       "      <th>Airport Lounge</th>\n",
       "      <th>Airport Service</th>\n",
       "      <th>Airport Terminal</th>\n",
       "      <th>American Restaurant</th>\n",
       "      <th>Antique Shop</th>\n",
       "      <th>...</th>\n",
       "      <th>Theme Restaurant</th>\n",
       "      <th>Thrift / Vintage Store</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>Wings Joint</th>\n",
       "    </tr>\n",
       "  </thead>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
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       "      <td>0</td>\n",
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       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 236 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   Yoga Studio  Afghan Restaurant  Airport  Airport Food Court  Airport Gate  \\\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",
       "   Airport Lounge  Airport Service  Airport Terminal  American Restaurant  \\\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",
       "   Antique Shop     ...       Theme Restaurant  Thrift / Vintage 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",
       "   Toy / Game Store  Trail  Train Station  Vegetarian / Vegan Restaurant  \\\n",
       "0                 0      1              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",
       "   Video Game Store  Vietnamese Restaurant  Wine Bar  Wings Joint  \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",
       "[5 rows x 236 columns]"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# one hot encoding\n",
    "toronto_onehot = pd.get_dummies(toronto_venues[['Venue Category']], prefix=\"\", prefix_sep=\"\")\n",
    "\n",
    "# add neighborhood column back to dataframe\n",
    "toronto_onehot['Neighborhood'] = toronto_venues['Neighborhood'] \n",
    "\n",
    "# move neighborhood column to the first column\n",
    "fixed_columns = [toronto_onehot.columns[-1]] + list(toronto_onehot.columns[:-1])\n",
    "toronto_onehot = toronto_onehot[fixed_columns]\n",
    "\n",
    "toronto_onehot.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's examine the shape of this dataframe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1706, 236)"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "toronto_onehot.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Next, let's group rows by neighborhood and by taking the mean of the frequency of occurrence of each category"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Neighborhood</th>\n",
       "      <th>Yoga Studio</th>\n",
       "      <th>Afghan Restaurant</th>\n",
       "      <th>Airport</th>\n",
       "      <th>Airport Food Court</th>\n",
       "      <th>Airport Gate</th>\n",
       "      <th>Airport Lounge</th>\n",
       "      <th>Airport Service</th>\n",
       "      <th>Airport Terminal</th>\n",
       "      <th>American Restaurant</th>\n",
       "      <th>...</th>\n",
       "      <th>Theme Restaurant</th>\n",
       "      <th>Thrift / Vintage Store</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>Wings Joint</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Adelaide,King,Richmond</td>\n",
       "      <td>0.000000</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Berczy Park</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
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       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
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       "      <td>0.00</td>\n",
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       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Brockton,Exhibition Place,Parkdale Village</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
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       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Business Reply Mail Processing Centre 969 Eastern</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
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       "      <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",
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       "      <td>0.000000</td>\n",
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       "      <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>4</th>\n",
       "      <td>CN Tower,Bathurst Quay,Island airport,Harbourf...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.066667</td>\n",
       "      <td>0.066667</td>\n",
       "      <td>0.066667</td>\n",
       "      <td>0.133333</td>\n",
       "      <td>0.133333</td>\n",
       "      <td>0.066667</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
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       "      <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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Cabbagetown,St. James Town</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
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       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Central Bay Street</td>\n",
       "      <td>0.011628</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>0.011628</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.011628</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.011628</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Chinatown,Grange Park,Kensington Market</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>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.060000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.040000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\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>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Church and Wellesley</td>\n",
       "      <td>0.011628</td>\n",
       "      <td>0.011628</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>0.011628</td>\n",
       "      <td>...</td>\n",
       "      <td>0.011628</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.011628</td>\n",
       "      <td>0.011628</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.011628</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\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>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.030000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\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>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.029412</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\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>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Deer Park,Forest Hill SE,Rathnelly,South Hill,...</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>0.000000</td>\n",
       "      <td>0.066667</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</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>0.066667</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Design Exchange,Toronto Dominion 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>0.000000</td>\n",
       "      <td>0.030000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Dovercourt Village,Dufferin</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>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\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>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.030000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Forest Hill North,Forest Hill 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>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Harbord,University of Toronto</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>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.028571</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Harbourfront East,Toronto Islands,Union Station</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>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Harbourfront,Regent Park</td>\n",
       "      <td>0.019608</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>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\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>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\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>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Little Portugal,Trinity</td>\n",
       "      <td>0.015152</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>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.015152</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.030303</td>\n",
       "      <td>0.015152</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\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>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>North Toronto West</td>\n",
       "      <td>0.047619</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>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.047619</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\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>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\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>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\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>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\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>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>Ryerson,Garden 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>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\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>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>Stn A PO Boxes 25 The Esplanade</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>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.010309</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>33</th>\n",
       "      <td>Studio District</td>\n",
       "      <td>0.025641</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>0.051282</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\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>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.043478</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\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>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>The Beaches West,India Bazaar</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>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>The Danforth West,Riverdale</td>\n",
       "      <td>0.023256</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>0.023256</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</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",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>38 rows × 236 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                         Neighborhood  Yoga Studio  \\\n",
       "0                              Adelaide,King,Richmond     0.000000   \n",
       "1                                         Berczy Park     0.000000   \n",
       "2          Brockton,Exhibition Place,Parkdale Village     0.000000   \n",
       "3   Business Reply Mail Processing Centre 969 Eastern     0.000000   \n",
       "4   CN Tower,Bathurst Quay,Island airport,Harbourf...     0.000000   \n",
       "5                          Cabbagetown,St. James Town     0.000000   \n",
       "6                                  Central Bay Street     0.011628   \n",
       "7             Chinatown,Grange Park,Kensington Market     0.000000   \n",
       "8                                            Christie     0.000000   \n",
       "9                                Church and Wellesley     0.011628   \n",
       "10                      Commerce Court,Victoria Hotel     0.000000   \n",
       "11                                         Davisville     0.000000   \n",
       "12                                   Davisville North     0.000000   \n",
       "13  Deer Park,Forest Hill SE,Rathnelly,South Hill,...     0.000000   \n",
       "14            Design Exchange,Toronto Dominion Centre     0.000000   \n",
       "15                        Dovercourt Village,Dufferin     0.000000   \n",
       "16              First Canadian Place,Underground city     0.000000   \n",
       "17                 Forest Hill North,Forest Hill West     0.000000   \n",
       "18                      Harbord,University of Toronto     0.000000   \n",
       "19    Harbourfront East,Toronto Islands,Union Station     0.000000   \n",
       "20                           Harbourfront,Regent Park     0.019608   \n",
       "21                       High Park,The Junction South     0.000000   \n",
       "22                                      Lawrence Park     0.000000   \n",
       "23                            Little Portugal,Trinity     0.015152   \n",
       "24                         Moore Park,Summerhill East     0.000000   \n",
       "25                                 North Toronto West     0.047619   \n",
       "26                              Parkdale,Roncesvalles     0.000000   \n",
       "27                                           Rosedale     0.000000   \n",
       "28                                           Roselawn     0.000000   \n",
       "29                                  Runnymede,Swansea     0.000000   \n",
       "30                            Ryerson,Garden District     0.000000   \n",
       "31                                     St. James Town     0.000000   \n",
       "32                    Stn A PO Boxes 25 The Esplanade     0.000000   \n",
       "33                                    Studio District     0.025641   \n",
       "34                  The Annex,North Midtown,Yorkville     0.000000   \n",
       "35                                        The Beaches     0.000000   \n",
       "36                      The Beaches West,India Bazaar     0.000000   \n",
       "37                        The Danforth West,Riverdale     0.023256   \n",
       "\n",
       "    Afghan Restaurant   Airport  Airport Food Court  Airport Gate  \\\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  0.066667            0.066667      0.066667   \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            0.011628  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           0.000000  0.000000            0.000000      0.000000   \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",
       "\n",
       "    Airport Lounge  Airport Service  Airport Terminal  American Restaurant  \\\n",
       "0         0.000000         0.000000          0.000000             0.030000   \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         0.133333         0.133333          0.066667             0.000000   \n",
       "5         0.000000         0.000000          0.000000             0.000000   \n",
       "6         0.000000         0.000000          0.000000             0.011628   \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             0.011628   \n",
       "10        0.000000         0.000000          0.000000             0.030000   \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             0.066667   \n",
       "14        0.000000         0.000000          0.000000             0.030000   \n",
       "15        0.000000         0.000000          0.000000             0.000000   \n",
       "16        0.000000         0.000000          0.000000             0.030000   \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        0.000000         0.000000          0.000000             0.000000   \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             0.010000   \n",
       "31        0.000000         0.000000          0.000000             0.020000   \n",
       "32        0.000000         0.000000          0.000000             0.000000   \n",
       "33        0.000000         0.000000          0.000000             0.051282   \n",
       "34        0.000000         0.000000          0.000000             0.043478   \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             0.023256   \n",
       "\n",
       "       ...       Theme Restaurant  Thrift / Vintage Store  Toy / Game Store  \\\n",
       "0      ...               0.000000                    0.00          0.000000   \n",
       "1      ...               0.000000                    0.00          0.000000   \n",
       "2      ...               0.000000                    0.00          0.000000   \n",
       "3      ...               0.000000                    0.00          0.000000   \n",
       "4      ...               0.000000                    0.00          0.000000   \n",
       "5      ...               0.000000                    0.00          0.000000   \n",
       "6      ...               0.000000                    0.00          0.000000   \n",
       "7      ...               0.000000                    0.01          0.000000   \n",
       "8      ...               0.000000                    0.00          0.000000   \n",
       "9      ...               0.011628                    0.00          0.000000   \n",
       "10     ...               0.000000                    0.00          0.000000   \n",
       "11     ...               0.000000                    0.00          0.029412   \n",
       "12     ...               0.000000                    0.00          0.000000   \n",
       "13     ...               0.000000                    0.00          0.000000   \n",
       "14     ...               0.000000                    0.00          0.000000   \n",
       "15     ...               0.000000                    0.00          0.000000   \n",
       "16     ...               0.000000                    0.00          0.000000   \n",
       "17     ...               0.000000                    0.00          0.000000   \n",
       "18     ...               0.000000                    0.00          0.000000   \n",
       "19     ...               0.000000                    0.00          0.000000   \n",
       "20     ...               0.000000                    0.00          0.000000   \n",
       "21     ...               0.000000                    0.00          0.000000   \n",
       "22     ...               0.000000                    0.00          0.000000   \n",
       "23     ...               0.000000                    0.00          0.000000   \n",
       "24     ...               0.000000                    0.00          0.000000   \n",
       "25     ...               0.000000                    0.00          0.047619   \n",
       "26     ...               0.000000                    0.00          0.000000   \n",
       "27     ...               0.000000                    0.00          0.000000   \n",
       "28     ...               0.000000                    0.00          0.000000   \n",
       "29     ...               0.000000                    0.00          0.000000   \n",
       "30     ...               0.000000                    0.00          0.010000   \n",
       "31     ...               0.000000                    0.00          0.000000   \n",
       "32     ...               0.000000                    0.00          0.000000   \n",
       "33     ...               0.000000                    0.00          0.000000   \n",
       "34     ...               0.000000                    0.00          0.000000   \n",
       "35     ...               0.000000                    0.00          0.000000   \n",
       "36     ...               0.000000                    0.00          0.000000   \n",
       "37     ...               0.000000                    0.00          0.000000   \n",
       "\n",
       "       Trail  Train Station  Vegetarian / Vegan Restaurant  Video Game Store  \\\n",
       "0   0.000000           0.00                       0.020000          0.000000   \n",
       "1   0.000000           0.00                       0.017857          0.000000   \n",
       "2   0.000000           0.00                       0.000000          0.000000   \n",
       "3   0.000000           0.00                       0.000000          0.000000   \n",
       "4   0.000000           0.00                       0.000000          0.000000   \n",
       "5   0.000000           0.00                       0.000000          0.000000   \n",
       "6   0.000000           0.00                       0.011628          0.000000   \n",
       "7   0.000000           0.00                       0.060000          0.000000   \n",
       "8   0.000000           0.00                       0.000000          0.000000   \n",
       "9   0.000000           0.00                       0.000000          0.011628   \n",
       "10  0.000000           0.00                       0.020000          0.000000   \n",
       "11  0.000000           0.00                       0.000000          0.000000   \n",
       "12  0.000000           0.00                       0.000000          0.000000   \n",
       "13  0.000000           0.00                       0.000000          0.000000   \n",
       "14  0.000000           0.01                       0.010000          0.000000   \n",
       "15  0.000000           0.00                       0.000000          0.000000   \n",
       "16  0.000000           0.01                       0.010000          0.000000   \n",
       "17  0.250000           0.00                       0.000000          0.000000   \n",
       "18  0.000000           0.00                       0.000000          0.028571   \n",
       "19  0.000000           0.01                       0.010000          0.000000   \n",
       "20  0.000000           0.00                       0.000000          0.000000   \n",
       "21  0.000000           0.00                       0.000000          0.000000   \n",
       "22  0.000000           0.00                       0.000000          0.000000   \n",
       "23  0.000000           0.00                       0.015152          0.000000   \n",
       "24  0.000000           0.00                       0.000000          0.000000   \n",
       "25  0.000000           0.00                       0.000000          0.000000   \n",
       "26  0.000000           0.00                       0.000000          0.000000   \n",
       "27  0.200000           0.00                       0.000000          0.000000   \n",
       "28  0.000000           0.00                       0.000000          0.000000   \n",
       "29  0.000000           0.00                       0.027027          0.000000   \n",
       "30  0.000000           0.00                       0.010000          0.010000   \n",
       "31  0.000000           0.00                       0.010000          0.000000   \n",
       "32  0.000000           0.00                       0.010309          0.000000   \n",
       "33  0.000000           0.00                       0.000000          0.000000   \n",
       "34  0.000000           0.00                       0.043478          0.000000   \n",
       "35  0.250000           0.00                       0.000000          0.000000   \n",
       "36  0.000000           0.00                       0.000000          0.000000   \n",
       "37  0.023256           0.00                       0.000000          0.000000   \n",
       "\n",
       "    Vietnamese Restaurant  Wine Bar  Wings Joint  \n",
       "0                0.000000  0.010000     0.000000  \n",
       "1                0.000000  0.000000     0.000000  \n",
       "2                0.000000  0.000000     0.000000  \n",
       "3                0.000000  0.000000     0.000000  \n",
       "4                0.000000  0.000000     0.000000  \n",
       "5                0.000000  0.000000     0.000000  \n",
       "6                0.000000  0.011628     0.000000  \n",
       "7                0.040000  0.010000     0.000000  \n",
       "8                0.000000  0.000000     0.000000  \n",
       "9                0.011628  0.000000     0.011628  \n",
       "10               0.000000  0.010000     0.000000  \n",
       "11               0.000000  0.000000     0.000000  \n",
       "12               0.000000  0.000000     0.000000  \n",
       "13               0.066667  0.000000     0.000000  \n",
       "14               0.000000  0.010000     0.000000  \n",
       "15               0.000000  0.000000     0.000000  \n",
       "16               0.000000  0.010000     0.000000  \n",
       "17               0.000000  0.000000     0.000000  \n",
       "18               0.000000  0.000000     0.000000  \n",
       "19               0.000000  0.010000     0.000000  \n",
       "20               0.000000  0.000000     0.000000  \n",
       "21               0.000000  0.000000     0.000000  \n",
       "22               0.000000  0.000000     0.000000  \n",
       "23               0.030303  0.015152     0.000000  \n",
       "24               0.000000  0.000000     0.000000  \n",
       "25               0.000000  0.000000     0.000000  \n",
       "26               0.000000  0.000000     0.000000  \n",
       "27               0.000000  0.000000     0.000000  \n",
       "28               0.000000  0.000000     0.000000  \n",
       "29               0.000000  0.000000     0.000000  \n",
       "30               0.000000  0.010000     0.000000  \n",
       "31               0.000000  0.010000     0.000000  \n",
       "32               0.000000  0.000000     0.000000  \n",
       "33               0.000000  0.000000     0.000000  \n",
       "34               0.000000  0.000000     0.000000  \n",
       "35               0.000000  0.000000     0.000000  \n",
       "36               0.000000  0.000000     0.000000  \n",
       "37               0.000000  0.000000     0.000000  \n",
       "\n",
       "[38 rows x 236 columns]"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "toronto_grouped = toronto_onehot.groupby('Neighborhood').mean().reset_index()\n",
    "toronto_grouped"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Let's confirm the new size"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(38, 236)"
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "toronto_grouped.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Let's print each neighborhood along with the top 5 most common venues"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "----Adelaide,King,Richmond----\n",
      "         venue  freq\n",
      "0  Coffee Shop  0.08\n",
      "1         Café  0.05\n",
      "2   Steakhouse  0.04\n",
      "3          Bar  0.04\n",
      "4   Restaurant  0.03\n",
      "\n",
      "\n",
      "----Berczy Park----\n",
      "          venue  freq\n",
      "0   Coffee Shop  0.09\n",
      "1  Cocktail Bar  0.05\n",
      "2          Café  0.04\n",
      "3   Cheese Shop  0.04\n",
      "4      Beer Bar  0.04\n",
      "\n",
      "\n",
      "----Brockton,Exhibition Place,Parkdale Village----\n",
      "            venue  freq\n",
      "0  Breakfast Spot  0.09\n",
      "1            Café  0.09\n",
      "2     Coffee Shop  0.09\n",
      "3             Gym  0.05\n",
      "4             Bar  0.05\n",
      "\n",
      "\n",
      "----Business Reply Mail Processing Centre 969 Eastern----\n",
      "                venue  freq\n",
      "0  Light Rail Station  0.12\n",
      "1          Comic Shop  0.06\n",
      "2              Garden  0.06\n",
      "3       Auto Workshop  0.06\n",
      "4      Farmers Market  0.06\n",
      "\n",
      "\n",
      "----CN Tower,Bathurst Quay,Island airport,Harbourfront West,King and Spadina,Railway Lands,South Niagara----\n",
      "             venue  freq\n",
      "0   Airport Lounge  0.13\n",
      "1  Airport Service  0.13\n",
      "2      Coffee Shop  0.07\n",
      "3            Plane  0.07\n",
      "4              Bar  0.07\n",
      "\n",
      "\n",
      "----Cabbagetown,St. James Town----\n",
      "         venue  freq\n",
      "0  Coffee Shop  0.07\n",
      "1          Pub  0.05\n",
      "2         Café  0.05\n",
      "3       Bakery  0.05\n",
      "4   Restaurant  0.05\n",
      "\n",
      "\n",
      "----Central Bay Street----\n",
      "                       venue  freq\n",
      "0                Coffee Shop  0.15\n",
      "1             Ice Cream Shop  0.05\n",
      "2                       Café  0.05\n",
      "3  Middle Eastern Restaurant  0.05\n",
      "4         Italian Restaurant  0.05\n",
      "\n",
      "\n",
      "----Chinatown,Grange Park,Kensington Market----\n",
      "                           venue  freq\n",
      "0                           Café  0.08\n",
      "1  Vegetarian / Vegan Restaurant  0.06\n",
      "2                            Bar  0.05\n",
      "3             Mexican Restaurant  0.04\n",
      "4             Chinese Restaurant  0.04\n",
      "\n",
      "\n",
      "----Christie----\n",
      "               venue  freq\n",
      "0      Grocery Store  0.19\n",
      "1               Café  0.19\n",
      "2               Park  0.12\n",
      "3         Restaurant  0.06\n",
      "4  Convenience Store  0.06\n",
      "\n",
      "\n",
      "----Church and Wellesley----\n",
      "                 venue  freq\n",
      "0          Coffee Shop  0.07\n",
      "1  Japanese Restaurant  0.06\n",
      "2     Sushi Restaurant  0.05\n",
      "3              Gay Bar  0.03\n",
      "4           Restaurant  0.03\n",
      "\n",
      "\n",
      "----Commerce Court,Victoria Hotel----\n",
      "         venue  freq\n",
      "0  Coffee Shop  0.11\n",
      "1         Café  0.06\n",
      "2        Hotel  0.06\n",
      "3   Restaurant  0.05\n",
      "4   Steakhouse  0.03\n",
      "\n",
      "\n",
      "----Davisville----\n",
      "            venue  freq\n",
      "0     Coffee Shop  0.09\n",
      "1     Pizza Place  0.09\n",
      "2  Sandwich Place  0.09\n",
      "3    Dessert Shop  0.09\n",
      "4            Café  0.06\n",
      "\n",
      "\n",
      "----Davisville North----\n",
      "            venue  freq\n",
      "0   Grocery Store  0.11\n",
      "1             Gym  0.11\n",
      "2         Dog Run  0.11\n",
      "3  Clothing Store  0.11\n",
      "4            Park  0.11\n",
      "\n",
      "\n",
      "----Deer Park,Forest Hill SE,Rathnelly,South Hill,Summerhill West----\n",
      "              venue  freq\n",
      "0               Pub  0.13\n",
      "1       Coffee Shop  0.13\n",
      "2       Pizza Place  0.07\n",
      "3        Bagel Shop  0.07\n",
      "4  Sushi Restaurant  0.07\n",
      "\n",
      "\n",
      "----Design Exchange,Toronto Dominion Centre----\n",
      "                venue  freq\n",
      "0         Coffee Shop  0.12\n",
      "1                Café  0.08\n",
      "2               Hotel  0.06\n",
      "3          Restaurant  0.05\n",
      "4  Italian Restaurant  0.03\n",
      "\n",
      "\n",
      "----Dovercourt Village,Dufferin----\n",
      "         venue  freq\n",
      "0       Bakery  0.12\n",
      "1     Pharmacy  0.12\n",
      "2  Supermarket  0.12\n",
      "3         Bank  0.06\n",
      "4  Music Venue  0.06\n",
      "\n",
      "\n",
      "----First Canadian Place,Underground city----\n",
      "           venue  freq\n",
      "0    Coffee Shop  0.10\n",
      "1           Café  0.08\n",
      "2          Hotel  0.05\n",
      "3     Restaurant  0.04\n",
      "4  Deli / Bodega  0.03\n",
      "\n",
      "\n",
      "----Forest Hill North,Forest Hill West----\n",
      "              venue  freq\n",
      "0     Jewelry Store  0.25\n",
      "1             Trail  0.25\n",
      "2              Park  0.25\n",
      "3  Sushi Restaurant  0.25\n",
      "4       Yoga Studio  0.00\n",
      "\n",
      "\n",
      "----Harbord,University of Toronto----\n",
      "        venue  freq\n",
      "0        Café  0.14\n",
      "1   Bookstore  0.09\n",
      "2      Bakery  0.06\n",
      "3  Restaurant  0.06\n",
      "4         Bar  0.06\n",
      "\n",
      "\n",
      "----Harbourfront East,Toronto Islands,Union Station----\n",
      "            venue  freq\n",
      "0     Coffee Shop  0.13\n",
      "1        Aquarium  0.05\n",
      "2           Hotel  0.05\n",
      "3            Café  0.04\n",
      "4  Scenic Lookout  0.03\n",
      "\n",
      "\n",
      "----Harbourfront,Regent Park----\n",
      "            venue  freq\n",
      "0     Coffee Shop  0.18\n",
      "1            Café  0.06\n",
      "2            Park  0.06\n",
      "3          Bakery  0.06\n",
      "4  Breakfast Spot  0.04\n",
      "\n",
      "\n",
      "----High Park,The Junction South----\n",
      "                venue  freq\n",
      "0  Mexican Restaurant  0.09\n",
      "1                Café  0.09\n",
      "2     Thai Restaurant  0.09\n",
      "3           Bookstore  0.04\n",
      "4       Grocery Store  0.04\n",
      "\n",
      "\n",
      "----Lawrence Park----\n",
      "         venue  freq\n",
      "0         Park  0.25\n",
      "1       Lawyer  0.25\n",
      "2  Swim School  0.25\n",
      "3     Bus Line  0.25\n",
      "4  Yoga Studio  0.00\n",
      "\n",
      "\n",
      "----Little Portugal,Trinity----\n",
      "              venue  freq\n",
      "0               Bar  0.12\n",
      "1       Coffee Shop  0.06\n",
      "2  Asian Restaurant  0.05\n",
      "3       Pizza Place  0.03\n",
      "4       Men's Store  0.03\n",
      "\n",
      "\n",
      "----Moore Park,Summerhill East----\n",
      "          venue  freq\n",
      "0    Playground  0.25\n",
      "1          Park  0.25\n",
      "2   Summer Camp  0.25\n",
      "3  Tennis Court  0.25\n",
      "4   Yoga Studio  0.00\n",
      "\n",
      "\n",
      "----North Toronto West----\n",
      "                 venue  freq\n",
      "0  Sporting Goods Shop  0.10\n",
      "1          Coffee Shop  0.10\n",
      "2       Clothing Store  0.10\n",
      "3          Yoga Studio  0.05\n",
      "4         Dessert Shop  0.05\n",
      "\n",
      "\n",
      "----Parkdale,Roncesvalles----\n",
      "                         venue  freq\n",
      "0               Breakfast Spot  0.13\n",
      "1                    Gift Shop  0.13\n",
      "2                    Bookstore  0.07\n",
      "3                 Dessert Shop  0.07\n",
      "4  Eastern European Restaurant  0.07\n",
      "\n",
      "\n",
      "----Rosedale----\n",
      "        venue  freq\n",
      "0        Park   0.4\n",
      "1  Playground   0.2\n",
      "2       Trail   0.2\n",
      "3    Building   0.2\n",
      "4   Nightclub   0.0\n",
      "\n",
      "\n",
      "----Roselawn----\n",
      "                      venue  freq\n",
      "0                    Garden   1.0\n",
      "1               Yoga Studio   0.0\n",
      "2                    Market   0.0\n",
      "3  Mediterranean Restaurant   0.0\n",
      "4               Men's Store   0.0\n",
      "\n",
      "\n",
      "----Runnymede,Swansea----\n",
      "         venue  freq\n",
      "0  Coffee Shop  0.08\n",
      "1         Café  0.08\n",
      "2  Pizza Place  0.05\n",
      "3     Tea Room  0.05\n",
      "4        Diner  0.05\n",
      "\n",
      "\n",
      "----Ryerson,Garden District----\n",
      "                       venue  freq\n",
      "0                Coffee Shop  0.09\n",
      "1             Clothing Store  0.07\n",
      "2                       Café  0.03\n",
      "3             Cosmetics Shop  0.03\n",
      "4  Middle Eastern Restaurant  0.03\n",
      "\n",
      "\n",
      "----St. James Town----\n",
      "                venue  freq\n",
      "0         Coffee Shop  0.07\n",
      "1                Café  0.06\n",
      "2          Restaurant  0.06\n",
      "3               Hotel  0.05\n",
      "4  Italian Restaurant  0.04\n",
      "\n",
      "\n",
      "----Stn A PO Boxes 25 The Esplanade----\n",
      "                venue  freq\n",
      "0         Coffee Shop  0.11\n",
      "1                Café  0.04\n",
      "2          Restaurant  0.04\n",
      "3  Seafood Restaurant  0.03\n",
      "4            Beer Bar  0.03\n",
      "\n",
      "\n",
      "----Studio District----\n",
      "                 venue  freq\n",
      "0                 Café  0.10\n",
      "1          Coffee Shop  0.08\n",
      "2   Italian Restaurant  0.05\n",
      "3               Bakery  0.05\n",
      "4  American Restaurant  0.05\n",
      "\n",
      "\n",
      "----The Annex,North Midtown,Yorkville----\n",
      "            venue  freq\n",
      "0            Café  0.13\n",
      "1  Sandwich Place  0.13\n",
      "2     Coffee Shop  0.13\n",
      "3     Pizza Place  0.09\n",
      "4  Cosmetics Shop  0.04\n",
      "\n",
      "\n",
      "----The Beaches----\n",
      "                        venue  freq\n",
      "0                         Pub  0.25\n",
      "1           Health Food Store  0.25\n",
      "2                       Trail  0.25\n",
      "3  Modern European Restaurant  0.00\n",
      "4                 Music Venue  0.00\n",
      "\n",
      "\n",
      "----The Beaches West,India Bazaar----\n",
      "               venue  freq\n",
      "0        Pizza Place  0.06\n",
      "1  Fish & Chips Shop  0.06\n",
      "2         Board Shop  0.06\n",
      "3       Burger Joint  0.06\n",
      "4      Burrito Place  0.06\n",
      "\n",
      "\n",
      "----The Danforth West,Riverdale----\n",
      "                    venue  freq\n",
      "0        Greek Restaurant  0.21\n",
      "1             Coffee Shop  0.09\n",
      "2      Italian Restaurant  0.07\n",
      "3          Ice Cream Shop  0.05\n",
      "4  Furniture / Home Store  0.05\n",
      "\n",
      "\n"
     ]
    }
   ],
   "source": [
    "num_top_venues = 5\n",
    "\n",
    "for hood in toronto_grouped['Neighborhood']:\n",
    "    print(\"----\"+hood+\"----\")\n",
    "    temp = toronto_grouped[toronto_grouped['Neighborhood'] == hood].T.reset_index()\n",
    "    temp.columns = ['venue','freq']\n",
    "    temp = temp.iloc[1:]\n",
    "    temp['freq'] = temp['freq'].astype(float)\n",
    "    temp = temp.round({'freq': 2})\n",
    "    print(temp.sort_values('freq', ascending=False).reset_index(drop=True).head(num_top_venues))\n",
    "    print('\\n')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Let's put that into a *pandas* dataframe"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's first write the function to sort the venues in descending order"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "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": [
    "Now let's create the new dataframe and display the top 10 venues for each neighborhood."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Neighborhood</th>\n",
       "      <th>1st Most Common Venue</th>\n",
       "      <th>2nd Most Common Venue</th>\n",
       "      <th>3rd Most Common Venue</th>\n",
       "      <th>4th Most Common Venue</th>\n",
       "      <th>5th Most Common Venue</th>\n",
       "      <th>6th Most Common Venue</th>\n",
       "      <th>7th Most Common Venue</th>\n",
       "      <th>8th Most Common Venue</th>\n",
       "      <th>9th Most Common Venue</th>\n",
       "      <th>10th Most Common Venue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Adelaide,King,Richmond</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Steakhouse</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Cosmetics Shop</td>\n",
       "      <td>Asian Restaurant</td>\n",
       "      <td>Burger Joint</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Thai Restaurant</td>\n",
       "      <td>American Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Berczy Park</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Cocktail Bar</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Cheese Shop</td>\n",
       "      <td>Farmers Market</td>\n",
       "      <td>Steakhouse</td>\n",
       "      <td>Beer Bar</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Belgian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Brockton,Exhibition Place,Parkdale Village</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Intersection</td>\n",
       "      <td>Convenience Store</td>\n",
       "      <td>Pet Store</td>\n",
       "      <td>Gym / Fitness Center</td>\n",
       "      <td>Nightclub</td>\n",
       "      <td>Climbing Gym</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Business Reply Mail Processing Centre 969 Eastern</td>\n",
       "      <td>Light Rail Station</td>\n",
       "      <td>Farmers Market</td>\n",
       "      <td>Auto Workshop</td>\n",
       "      <td>Comic Shop</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Butcher</td>\n",
       "      <td>Burrito Place</td>\n",
       "      <td>Brewery</td>\n",
       "      <td>Skate Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>CN Tower,Bathurst Quay,Island airport,Harbourf...</td>\n",
       "      <td>Airport Lounge</td>\n",
       "      <td>Airport Service</td>\n",
       "      <td>Harbor / Marina</td>\n",
       "      <td>Airport Terminal</td>\n",
       "      <td>Sculpture Garden</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Boat or Ferry</td>\n",
       "      <td>Plane</td>\n",
       "      <td>Airport Gate</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                        Neighborhood 1st Most Common Venue  \\\n",
       "0                             Adelaide,King,Richmond           Coffee Shop   \n",
       "1                                        Berczy Park           Coffee Shop   \n",
       "2         Brockton,Exhibition Place,Parkdale Village           Coffee Shop   \n",
       "3  Business Reply Mail Processing Centre 969 Eastern    Light Rail Station   \n",
       "4  CN Tower,Bathurst Quay,Island airport,Harbourf...        Airport Lounge   \n",
       "\n",
       "  2nd Most Common Venue 3rd Most Common Venue 4th Most Common Venue  \\\n",
       "0                  Café            Steakhouse                   Bar   \n",
       "1          Cocktail Bar    Seafood Restaurant                  Café   \n",
       "2                  Café        Breakfast Spot                   Gym   \n",
       "3        Farmers Market         Auto Workshop            Comic Shop   \n",
       "4       Airport Service       Harbor / Marina      Airport Terminal   \n",
       "\n",
       "  5th Most Common Venue 6th Most Common Venue 7th Most Common Venue  \\\n",
       "0        Cosmetics Shop      Asian Restaurant          Burger Joint   \n",
       "1           Cheese Shop        Farmers Market            Steakhouse   \n",
       "2          Intersection     Convenience Store             Pet Store   \n",
       "3           Pizza Place            Restaurant               Butcher   \n",
       "4      Sculpture Garden           Coffee Shop                   Bar   \n",
       "\n",
       "  8th Most Common Venue 9th Most Common Venue 10th Most Common Venue  \n",
       "0                 Hotel       Thai Restaurant    American Restaurant  \n",
       "1              Beer Bar                Bakery     Belgian Restaurant  \n",
       "2  Gym / Fitness Center             Nightclub           Climbing Gym  \n",
       "3         Burrito Place               Brewery             Skate Park  \n",
       "4         Boat or Ferry                 Plane           Airport Gate  "
      ]
     },
     "execution_count": 66,
     "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",
    "columns = ['Neighborhood']\n",
    "for ind in np.arange(num_top_venues):\n",
    "    try:\n",
    "        columns.append('{}{} Most Common Venue'.format(ind+1, indicators[ind]))\n",
    "    except:\n",
    "        columns.append('{}th Most Common Venue'.format(ind+1))\n",
    "\n",
    "# create a new dataframe\n",
    "neighborhoods_venues_sorted = pd.DataFrame(columns=columns)\n",
    "neighborhoods_venues_sorted['Neighborhood'] = toronto_grouped['Neighborhood']\n",
    "\n",
    "for ind in np.arange(toronto_grouped.shape[0]):\n",
    "    neighborhoods_venues_sorted.iloc[ind, 1:] = return_most_common_venues(toronto_grouped.iloc[ind, :], num_top_venues)\n",
    "\n",
    "neighborhoods_venues_sorted.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 4. Cluster Neighborhoods"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Run *k*-means to cluster the neighborhood into 5 clusters."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0,\n",
       "       2, 0, 4, 0, 0, 4, 1, 0])"
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# set number of clusters\n",
    "kclusters = 5\n",
    "\n",
    "toronto_grouped_clustering = toronto_grouped.drop('Neighborhood', 1)\n",
    "\n",
    "# run k-means clustering\n",
    "kmeans = KMeans(n_clusters=kclusters, random_state=0).fit(toronto_grouped_clustering)\n",
    "\n",
    "# check cluster labels generated for each row in the dataframe\n",
    "kmeans.labels_[0:30] "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's create a new dataframe that includes the cluster as well as the top 10 venues for each neighborhood."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [
    {
     "data": {
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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>Postcode</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>33</th>\n",
       "      <td>M6K</td>\n",
       "      <td>West Toronto</td>\n",
       "      <td>Brockton,Exhibition Place,Parkdale Village</td>\n",
       "      <td>43.636847</td>\n",
       "      <td>-79.428191</td>\n",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Intersection</td>\n",
       "      <td>Convenience Store</td>\n",
       "      <td>Pet Store</td>\n",
       "      <td>Gym / Fitness Center</td>\n",
       "      <td>Nightclub</td>\n",
       "      <td>Climbing Gym</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>43.661608</td>\n",
       "      <td>-79.464763</td>\n",
       "      <td>0</td>\n",
       "      <td>Café</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Thai Restaurant</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Music Venue</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Fried Chicken Joint</td>\n",
       "      <td>Flea Market</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>43.648960</td>\n",
       "      <td>-79.456325</td>\n",
       "      <td>0</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Gift Shop</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Eastern European Restaurant</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Movie Theater</td>\n",
       "      <td>Restaurant</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>43.651571</td>\n",
       "      <td>-79.484450</td>\n",
       "      <td>0</td>\n",
       "      <td>Café</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Tea Room</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Food &amp; Drink Shop</td>\n",
       "      <td>French Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>M7Y</td>\n",
       "      <td>East Toronto</td>\n",
       "      <td>Business Reply Mail Processing Centre 969 Eastern</td>\n",
       "      <td>43.662744</td>\n",
       "      <td>-79.321558</td>\n",
       "      <td>0</td>\n",
       "      <td>Light Rail Station</td>\n",
       "      <td>Farmers Market</td>\n",
       "      <td>Auto Workshop</td>\n",
       "      <td>Comic Shop</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Butcher</td>\n",
       "      <td>Burrito Place</td>\n",
       "      <td>Brewery</td>\n",
       "      <td>Skate Park</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Postcode       Borough                                       Neighborhood  \\\n",
       "33      M6K  West Toronto         Brockton,Exhibition Place,Parkdale Village   \n",
       "34      M6P  West Toronto                       High Park,The Junction South   \n",
       "35      M6R  West Toronto                              Parkdale,Roncesvalles   \n",
       "36      M6S  West Toronto                                  Runnymede,Swansea   \n",
       "37      M7Y  East Toronto  Business Reply Mail Processing Centre 969 Eastern   \n",
       "\n",
       "     Latitude  Longitude  Cluster Labels 1st Most Common Venue  \\\n",
       "33  43.636847 -79.428191               0           Coffee Shop   \n",
       "34  43.661608 -79.464763               0                  Café   \n",
       "35  43.648960 -79.456325               0        Breakfast Spot   \n",
       "36  43.651571 -79.484450               0                  Café   \n",
       "37  43.662744 -79.321558               0    Light Rail Station   \n",
       "\n",
       "   2nd Most Common Venue 3rd Most Common Venue 4th Most Common Venue  \\\n",
       "33                  Café        Breakfast Spot                   Gym   \n",
       "34    Mexican Restaurant       Thai Restaurant    Italian Restaurant   \n",
       "35             Gift Shop    Italian Restaurant          Dessert Shop   \n",
       "36           Coffee Shop           Pizza Place              Tea Room   \n",
       "37        Farmers Market         Auto Workshop            Comic Shop   \n",
       "\n",
       "          5th Most Common Venue 6th Most Common Venue 7th Most Common Venue  \\\n",
       "33                 Intersection     Convenience Store             Pet Store   \n",
       "34                  Music Venue        Discount Store                Bakery   \n",
       "35  Eastern European Restaurant                   Bar                  Bank   \n",
       "36             Sushi Restaurant            Restaurant                 Diner   \n",
       "37                  Pizza Place            Restaurant               Butcher   \n",
       "\n",
       "   8th Most Common Venue 9th Most Common Venue 10th Most Common Venue  \n",
       "33  Gym / Fitness Center             Nightclub           Climbing Gym  \n",
       "34                 Diner   Fried Chicken Joint            Flea Market  \n",
       "35               Dog Run         Movie Theater             Restaurant  \n",
       "36    Italian Restaurant     Food & Drink Shop      French Restaurant  \n",
       "37         Burrito Place               Brewery             Skate Park  "
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# add clustering labels\n",
    "neighborhoods_venues_sorted.insert(0, 'Cluster Labels', kmeans.labels_)\n",
    "\n",
    "toronto_merged = torontocity_data\n",
    "\n",
    "# merge toronto_grouped with toronto_data to add latitude/longitude for each neighborhood\n",
    "toronto_merged = toronto_merged.join(neighborhoods_venues_sorted.set_index('Neighborhood'), on='Neighborhood')\n",
    "\n",
    "toronto_merged.tail() # check the last columns!"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Getting maps of Toronto city cluster wise"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [
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            var html_e75bb85bad434898b63e52e9842f9db8 = $(`<div id="html_e75bb85bad434898b63e52e9842f9db8" style="width: 100.0%; height: 100.0%;">Lawrence Park Cluster 2</div>`)[0];
            popup_55b8cb3a884c43b793c3007dc405c2dc.setContent(html_e75bb85bad434898b63e52e9842f9db8);
        

        circle_marker_b427ea030bd645b491c6483beb7593ba.bindPopup(popup_55b8cb3a884c43b793c3007dc405c2dc)
        ;

        
    
    
            var circle_marker_fb97562515044af49f3d63d8a11050b8 = L.circleMarker(
                [43.7127511, -79.3901975],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_94791e3a1ceb444488e3f9fd4f31d98c);
        
    
        var popup_f1e1004bb0624838984d72b96557f9b0 = L.popup({"maxWidth": "100%"});

        
            var html_f540357b7a614f0c9cfd6e815fc76549 = $(`<div id="html_f540357b7a614f0c9cfd6e815fc76549" style="width: 100.0%; height: 100.0%;">Davisville North Cluster 0</div>`)[0];
            popup_f1e1004bb0624838984d72b96557f9b0.setContent(html_f540357b7a614f0c9cfd6e815fc76549);
        

        circle_marker_fb97562515044af49f3d63d8a11050b8.bindPopup(popup_f1e1004bb0624838984d72b96557f9b0)
        ;

        
    
    
            var circle_marker_ca3a1ddecd664ae8878f39e5677b9d69 = L.circleMarker(
                [43.7153834, -79.40567840000001],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_94791e3a1ceb444488e3f9fd4f31d98c);
        
    
        var popup_6b5d8b6040ce4b02b3bf3154c3f21d2c = L.popup({"maxWidth": "100%"});

        
            var html_dba8d5b036e641b1864793df9317a904 = $(`<div id="html_dba8d5b036e641b1864793df9317a904" style="width: 100.0%; height: 100.0%;">North Toronto West Cluster 0</div>`)[0];
            popup_6b5d8b6040ce4b02b3bf3154c3f21d2c.setContent(html_dba8d5b036e641b1864793df9317a904);
        

        circle_marker_ca3a1ddecd664ae8878f39e5677b9d69.bindPopup(popup_6b5d8b6040ce4b02b3bf3154c3f21d2c)
        ;

        
    
    
            var circle_marker_4981b77e3c1242b3b0b3901d82bf9dd9 = L.circleMarker(
                [43.7043244, -79.3887901],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_94791e3a1ceb444488e3f9fd4f31d98c);
        
    
        var popup_c180c8058bf8481f9348ef005e0fad3e = L.popup({"maxWidth": "100%"});

        
            var html_497e8c8597df46eaba695be9113b4193 = $(`<div id="html_497e8c8597df46eaba695be9113b4193" style="width: 100.0%; height: 100.0%;">Davisville Cluster 0</div>`)[0];
            popup_c180c8058bf8481f9348ef005e0fad3e.setContent(html_497e8c8597df46eaba695be9113b4193);
        

        circle_marker_4981b77e3c1242b3b0b3901d82bf9dd9.bindPopup(popup_c180c8058bf8481f9348ef005e0fad3e)
        ;

        
    
    
            var circle_marker_b55480607fc147018a1b6a59b870782f = L.circleMarker(
                [43.6895743, -79.38315990000001],
                {"bubblingMouseEvents": true, "color": "#ffb360", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ffb360", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_94791e3a1ceb444488e3f9fd4f31d98c);
        
    
        var popup_e79b5d62eb564148a109d2f43a279b67 = L.popup({"maxWidth": "100%"});

        
            var html_5a5967adc6ef437494216c07443aa7be = $(`<div id="html_5a5967adc6ef437494216c07443aa7be" style="width: 100.0%; height: 100.0%;">Moore Park,Summerhill East Cluster 4</div>`)[0];
            popup_e79b5d62eb564148a109d2f43a279b67.setContent(html_5a5967adc6ef437494216c07443aa7be);
        

        circle_marker_b55480607fc147018a1b6a59b870782f.bindPopup(popup_e79b5d62eb564148a109d2f43a279b67)
        ;

        
    
    
            var circle_marker_d3c45a7edf3b45eb8fcc8aa095de5135 = L.circleMarker(
                [43.68641229999999, -79.4000493],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_94791e3a1ceb444488e3f9fd4f31d98c);
        
    
        var popup_4a51ce7b14b54203b57851e330a78664 = L.popup({"maxWidth": "100%"});

        
            var html_f0a80dd1e4d14c75846adb7e5ad97a97 = $(`<div id="html_f0a80dd1e4d14c75846adb7e5ad97a97" style="width: 100.0%; height: 100.0%;">Deer Park,Forest Hill SE,Rathnelly,South Hill,Summerhill West Cluster 0</div>`)[0];
            popup_4a51ce7b14b54203b57851e330a78664.setContent(html_f0a80dd1e4d14c75846adb7e5ad97a97);
        

        circle_marker_d3c45a7edf3b45eb8fcc8aa095de5135.bindPopup(popup_4a51ce7b14b54203b57851e330a78664)
        ;

        
    
    
            var circle_marker_1d4a2a25abbe4b9ca403329e92eb4399 = L.circleMarker(
                [43.6795626, -79.37752940000001],
                {"bubblingMouseEvents": true, "color": "#ffb360", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ffb360", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_94791e3a1ceb444488e3f9fd4f31d98c);
        
    
        var popup_432a6b87a18840c5853f116db5349bc9 = L.popup({"maxWidth": "100%"});

        
            var html_9f446e041d844159ae73281233f15622 = $(`<div id="html_9f446e041d844159ae73281233f15622" style="width: 100.0%; height: 100.0%;">Rosedale Cluster 4</div>`)[0];
            popup_432a6b87a18840c5853f116db5349bc9.setContent(html_9f446e041d844159ae73281233f15622);
        

        circle_marker_1d4a2a25abbe4b9ca403329e92eb4399.bindPopup(popup_432a6b87a18840c5853f116db5349bc9)
        ;

        
    
    
            var circle_marker_92f718a691c645b6a0aa34c8fa32ecd7 = L.circleMarker(
                [43.667967, -79.3676753],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_94791e3a1ceb444488e3f9fd4f31d98c);
        
    
        var popup_c2a8b055bb8e479aa1b5c477e3a30de6 = L.popup({"maxWidth": "100%"});

        
            var html_621ef5024371482ab14615adb24dce56 = $(`<div id="html_621ef5024371482ab14615adb24dce56" style="width: 100.0%; height: 100.0%;">Cabbagetown,St. James Town Cluster 0</div>`)[0];
            popup_c2a8b055bb8e479aa1b5c477e3a30de6.setContent(html_621ef5024371482ab14615adb24dce56);
        

        circle_marker_92f718a691c645b6a0aa34c8fa32ecd7.bindPopup(popup_c2a8b055bb8e479aa1b5c477e3a30de6)
        ;

        
    
    
            var circle_marker_60b3dba7eaa54316a764245304b91bea = L.circleMarker(
                [43.6658599, -79.38315990000001],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_94791e3a1ceb444488e3f9fd4f31d98c);
        
    
        var popup_16e7367c2e8a4004b5e4a34771c24033 = L.popup({"maxWidth": "100%"});

        
            var html_cd3f4a8b2c474d21a5c30d5e9659fd7b = $(`<div id="html_cd3f4a8b2c474d21a5c30d5e9659fd7b" style="width: 100.0%; height: 100.0%;">Church and Wellesley Cluster 0</div>`)[0];
            popup_16e7367c2e8a4004b5e4a34771c24033.setContent(html_cd3f4a8b2c474d21a5c30d5e9659fd7b);
        

        circle_marker_60b3dba7eaa54316a764245304b91bea.bindPopup(popup_16e7367c2e8a4004b5e4a34771c24033)
        ;

        
    
    
            var circle_marker_05d72594d3dd43ee8bdd4cdbadfcbf43 = L.circleMarker(
                [43.6542599, -79.3606359],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_94791e3a1ceb444488e3f9fd4f31d98c);
        
    
        var popup_e209ee36087646cf96b5bc564eb3c8dc = L.popup({"maxWidth": "100%"});

        
            var html_27511739c7b14c8bb4656cb3096bbd71 = $(`<div id="html_27511739c7b14c8bb4656cb3096bbd71" style="width: 100.0%; height: 100.0%;">Harbourfront,Regent Park Cluster 0</div>`)[0];
            popup_e209ee36087646cf96b5bc564eb3c8dc.setContent(html_27511739c7b14c8bb4656cb3096bbd71);
        

        circle_marker_05d72594d3dd43ee8bdd4cdbadfcbf43.bindPopup(popup_e209ee36087646cf96b5bc564eb3c8dc)
        ;

        
    
    
            var circle_marker_b0386171b1904e94adef56709b7c341d = L.circleMarker(
                [43.6571618, -79.37893709999999],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_94791e3a1ceb444488e3f9fd4f31d98c);
        
    
        var popup_88ce230857c5411db4c32a583e96400f = L.popup({"maxWidth": "100%"});

        
            var html_b277daa1e7ff4998bcea9fea0e601ca5 = $(`<div id="html_b277daa1e7ff4998bcea9fea0e601ca5" style="width: 100.0%; height: 100.0%;">Ryerson,Garden District Cluster 0</div>`)[0];
            popup_88ce230857c5411db4c32a583e96400f.setContent(html_b277daa1e7ff4998bcea9fea0e601ca5);
        

        circle_marker_b0386171b1904e94adef56709b7c341d.bindPopup(popup_88ce230857c5411db4c32a583e96400f)
        ;

        
    
    
            var circle_marker_ac3ff2a9245346659f36247b10f085f3 = L.circleMarker(
                [43.6514939, -79.3754179],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_94791e3a1ceb444488e3f9fd4f31d98c);
        
    
        var popup_1e92ed145fa94e5091613b66a2f1b562 = L.popup({"maxWidth": "100%"});

        
            var html_c468392370384108a0662456cc3cfe8f = $(`<div id="html_c468392370384108a0662456cc3cfe8f" style="width: 100.0%; height: 100.0%;">St. James Town Cluster 0</div>`)[0];
            popup_1e92ed145fa94e5091613b66a2f1b562.setContent(html_c468392370384108a0662456cc3cfe8f);
        

        circle_marker_ac3ff2a9245346659f36247b10f085f3.bindPopup(popup_1e92ed145fa94e5091613b66a2f1b562)
        ;

        
    
    
            var circle_marker_d671334736d34bc199ea18c4c383ed11 = L.circleMarker(
                [43.644770799999996, -79.3733064],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_94791e3a1ceb444488e3f9fd4f31d98c);
        
    
        var popup_98f20c06caf746b4b291d3e4740e3e4c = L.popup({"maxWidth": "100%"});

        
            var html_fab80abfd4cb4ed0a501e9759c5a9c7b = $(`<div id="html_fab80abfd4cb4ed0a501e9759c5a9c7b" style="width: 100.0%; height: 100.0%;">Berczy Park Cluster 0</div>`)[0];
            popup_98f20c06caf746b4b291d3e4740e3e4c.setContent(html_fab80abfd4cb4ed0a501e9759c5a9c7b);
        

        circle_marker_d671334736d34bc199ea18c4c383ed11.bindPopup(popup_98f20c06caf746b4b291d3e4740e3e4c)
        ;

        
    
    
            var circle_marker_49cd9ac509a94180aff4c47ec350285b = L.circleMarker(
                [43.6579524, -79.3873826],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_94791e3a1ceb444488e3f9fd4f31d98c);
        
    
        var popup_6082581e99a8421a9ac2797d2cc6b342 = L.popup({"maxWidth": "100%"});

        
            var html_f246b024c8764db8affb799ddac8413c = $(`<div id="html_f246b024c8764db8affb799ddac8413c" style="width: 100.0%; height: 100.0%;">Central Bay Street Cluster 0</div>`)[0];
            popup_6082581e99a8421a9ac2797d2cc6b342.setContent(html_f246b024c8764db8affb799ddac8413c);
        

        circle_marker_49cd9ac509a94180aff4c47ec350285b.bindPopup(popup_6082581e99a8421a9ac2797d2cc6b342)
        ;

        
    
    
            var circle_marker_e0f827c317ba4decb8abbd155a8c1c81 = L.circleMarker(
                [43.65057120000001, -79.3845675],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_94791e3a1ceb444488e3f9fd4f31d98c);
        
    
        var popup_e35cc37e19fa4dba83e664a5689b24f1 = L.popup({"maxWidth": "100%"});

        
            var html_09d99d140de348db8d4ba846ffa4c10f = $(`<div id="html_09d99d140de348db8d4ba846ffa4c10f" style="width: 100.0%; height: 100.0%;">Adelaide,King,Richmond Cluster 0</div>`)[0];
            popup_e35cc37e19fa4dba83e664a5689b24f1.setContent(html_09d99d140de348db8d4ba846ffa4c10f);
        

        circle_marker_e0f827c317ba4decb8abbd155a8c1c81.bindPopup(popup_e35cc37e19fa4dba83e664a5689b24f1)
        ;

        
    
    
            var circle_marker_d8891f011e3c4f168aa5bf2b271f6bc7 = L.circleMarker(
                [43.6408157, -79.38175229999999],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_94791e3a1ceb444488e3f9fd4f31d98c);
        
    
        var popup_f3930b1bf4b7456eb38f8b7ffd7467a3 = L.popup({"maxWidth": "100%"});

        
            var html_3d336d85172a4204b883afdbb82c22dd = $(`<div id="html_3d336d85172a4204b883afdbb82c22dd" style="width: 100.0%; height: 100.0%;">Harbourfront East,Toronto Islands,Union Station Cluster 0</div>`)[0];
            popup_f3930b1bf4b7456eb38f8b7ffd7467a3.setContent(html_3d336d85172a4204b883afdbb82c22dd);
        

        circle_marker_d8891f011e3c4f168aa5bf2b271f6bc7.bindPopup(popup_f3930b1bf4b7456eb38f8b7ffd7467a3)
        ;

        
    
    
            var circle_marker_650f4217a50c4fccaaf03f5599123a8e = L.circleMarker(
                [43.6471768, -79.38157640000001],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_94791e3a1ceb444488e3f9fd4f31d98c);
        
    
        var popup_379aaefab6174615963865b7b6aec0e2 = L.popup({"maxWidth": "100%"});

        
            var html_74aa7d5219744d419c2da45f7b0cd933 = $(`<div id="html_74aa7d5219744d419c2da45f7b0cd933" style="width: 100.0%; height: 100.0%;">Design Exchange,Toronto Dominion Centre Cluster 0</div>`)[0];
            popup_379aaefab6174615963865b7b6aec0e2.setContent(html_74aa7d5219744d419c2da45f7b0cd933);
        

        circle_marker_650f4217a50c4fccaaf03f5599123a8e.bindPopup(popup_379aaefab6174615963865b7b6aec0e2)
        ;

        
    
    
            var circle_marker_23a402a78bdd4ce6bed2893f641f603e = L.circleMarker(
                [43.6481985, -79.37981690000001],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_94791e3a1ceb444488e3f9fd4f31d98c);
        
    
        var popup_b4f73ba001e0474685089c9a03a52ec9 = L.popup({"maxWidth": "100%"});

        
            var html_4b401efcbbfe441898b8c750026d7fe9 = $(`<div id="html_4b401efcbbfe441898b8c750026d7fe9" style="width: 100.0%; height: 100.0%;">Commerce Court,Victoria Hotel Cluster 0</div>`)[0];
            popup_b4f73ba001e0474685089c9a03a52ec9.setContent(html_4b401efcbbfe441898b8c750026d7fe9);
        

        circle_marker_23a402a78bdd4ce6bed2893f641f603e.bindPopup(popup_b4f73ba001e0474685089c9a03a52ec9)
        ;

        
    
    
            var circle_marker_c42cbb80ed7f4cb6a8c0da3b05a1f03b = L.circleMarker(
                [43.7116948, -79.41693559999999],
                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_94791e3a1ceb444488e3f9fd4f31d98c);
        
    
        var popup_dafcdc6d8aca45a2a7d967d5e2e6d07f = L.popup({"maxWidth": "100%"});

        
            var html_c704b1cb4c9344569046af3c065bc145 = $(`<div id="html_c704b1cb4c9344569046af3c065bc145" style="width: 100.0%; height: 100.0%;">Roselawn Cluster 1</div>`)[0];
            popup_dafcdc6d8aca45a2a7d967d5e2e6d07f.setContent(html_c704b1cb4c9344569046af3c065bc145);
        

        circle_marker_c42cbb80ed7f4cb6a8c0da3b05a1f03b.bindPopup(popup_dafcdc6d8aca45a2a7d967d5e2e6d07f)
        ;

        
    
    
            var circle_marker_c7df7c025c964258b2e1f1c27b770f2e = L.circleMarker(
                [43.6969476, -79.41130720000001],
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            ).addTo(map_94791e3a1ceb444488e3f9fd4f31d98c);
        
    
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        circle_marker_3697fbe28f8c48acb68929d57c3f93be.bindPopup(popup_2f861bc133f347e68809f3163f8eb87d)
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        circle_marker_966b3fe667454503899aa2da7aba14e1.bindPopup(popup_96772a2487e849e48b3cf2f955ad49a2)
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        circle_marker_7eebd0c532234b98a75107f19f07678f.bindPopup(popup_fb6838ebdd8f43b59c74b2a12747c8d3)
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        circle_marker_f371e53068bf43f1be3222b232428c64.bindPopup(popup_e1b7da48f0e0421199aab23b932efd3e)
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        var popup_58ddb26b24a24bd59c2782a8a8fb1dca = L.popup({"maxWidth": "100%"});

        
            var html_700040dcfa4e44edbf92e52daee3f34b = $(`<div id="html_700040dcfa4e44edbf92e52daee3f34b" style="width: 100.0%; height: 100.0%;">Christie Cluster 0</div>`)[0];
            popup_58ddb26b24a24bd59c2782a8a8fb1dca.setContent(html_700040dcfa4e44edbf92e52daee3f34b);
        

        circle_marker_c223c45641674a978bded4b5702b95db.bindPopup(popup_58ddb26b24a24bd59c2782a8a8fb1dca)
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                [43.66900510000001, -79.4422593],
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        circle_marker_78c2d061c8184c3d8c04abf6cdcfe31e.bindPopup(popup_92be9c4196294bd4bbf71dac772dcd16)
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        var popup_a4c84c12e17e4209b0337131d3db3a3a = L.popup({"maxWidth": "100%"});

        
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        circle_marker_864501dcd81b4aa1b17c0edcbe5d6daa.bindPopup(popup_a4c84c12e17e4209b0337131d3db3a3a)
        ;

        
    
    
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                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_94791e3a1ceb444488e3f9fd4f31d98c);
        
    
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        circle_marker_56d8ab62f3f74ad296bd13acdbceff84.bindPopup(popup_94de61f5eea942a687f8629f65ef49e0)
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        circle_marker_148c9751c9c24977b6a32021f673ab30.bindPopup(popup_649f484501b04421a72fe8af6c7ce1ef)
        ;

        
    
    
            var circle_marker_57693d6635644375b38325f48c6d11e2 = L.circleMarker(
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                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
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        var popup_7bc4dfb14c0446a1b0f37d182b405e0e = L.popup({"maxWidth": "100%"});

        
            var html_1853e16a168b4b6ea6e34403a6a4c9e8 = $(`<div id="html_1853e16a168b4b6ea6e34403a6a4c9e8" style="width: 100.0%; height: 100.0%;">Business Reply Mail Processing Centre 969 Eastern Cluster 0</div>`)[0];
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</script>\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
      ],
      "text/plain": [
       "<folium.folium.Map at 0x2dd382e8080>"
      ]
     },
     "execution_count": 69,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# create map\n",
    "map_clusters = folium.Map(location=[latitude, longitude], zoom_start=11)\n",
    "\n",
    "# set color scheme for the clusters\n",
    "x = np.arange(kclusters)\n",
    "ys = [i + x + (i*x)**2 for i in range(kclusters)]\n",
    "colors_array = cm.rainbow(np.linspace(0, 1, len(ys)))\n",
    "rainbow = [colors.rgb2hex(i) for i in colors_array]\n",
    "\n",
    "# add markers to the map\n",
    "markers_colors = []\n",
    "for lat, lon, poi, cluster in zip(toronto_merged['Latitude'], toronto_merged['Longitude'], toronto_merged['Neighborhood'], toronto_merged['Cluster Labels']):\n",
    "    label = folium.Popup(str(poi) + ' Cluster ' + str(cluster), parse_html=True)\n",
    "    folium.CircleMarker(\n",
    "        [lat, lon],\n",
    "        radius=5,\n",
    "        popup=label,\n",
    "        color=rainbow[cluster-1],\n",
    "        fill=True,\n",
    "        fill_color=rainbow[cluster-1],\n",
    "        fill_opacity=0.7).add_to(map_clusters)\n",
    "       \n",
    "map_clusters"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 5. Examine Clusters\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "Now, We can examine each cluster and determine the discriminating venue categories that distinguish each cluster. Based on the defining categories, you can then assign a name to each cluster. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<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",
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       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Borough</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>1</th>\n",
       "      <td>East Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Greek Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Furniture / Home Store</td>\n",
       "      <td>Ice Cream Shop</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Spa</td>\n",
       "      <td>Bookstore</td>\n",
       "      <td>Brewery</td>\n",
       "      <td>Bubble Tea Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>East Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Pet Store</td>\n",
       "      <td>Board Shop</td>\n",
       "      <td>Brewery</td>\n",
       "      <td>Burger Joint</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Burrito Place</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Park</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>East Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Café</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Comfort Food Restaurant</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Cheese Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Food &amp; Drink Shop</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Park</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Electronics Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Sporting Goods Shop</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Miscellaneous Shop</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Park</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Deli / Bodega</td>\n",
       "      <td>Greek Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Sports Bar</td>\n",
       "      <td>Bagel Shop</td>\n",
       "      <td>Supermarket</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Liquor Store</td>\n",
       "      <td>Fried Chicken Joint</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Pharmacy</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Park</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Pet Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Gay Bar</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Men's Store</td>\n",
       "      <td>Mediterranean Restaurant</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Gym</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Park</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Theater</td>\n",
       "      <td>Gym / Fitness Center</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Performing Arts Venue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Café</td>\n",
       "      <td>Cosmetics Shop</td>\n",
       "      <td>Middle Eastern Restaurant</td>\n",
       "      <td>Tea Room</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Sporting Goods Shop</td>\n",
       "      <td>Bookstore</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Gastropub</td>\n",
       "      <td>Beer Bar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Cocktail Bar</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Cheese Shop</td>\n",
       "      <td>Farmers Market</td>\n",
       "      <td>Steakhouse</td>\n",
       "      <td>Beer Bar</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Belgian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Ice Cream Shop</td>\n",
       "      <td>Middle Eastern Restaurant</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Burger Joint</td>\n",
       "      <td>Indian Restaurant</td>\n",
       "      <td>Spa</td>\n",
       "      <td>Bar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Steakhouse</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Cosmetics Shop</td>\n",
       "      <td>Asian Restaurant</td>\n",
       "      <td>Burger Joint</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Thai Restaurant</td>\n",
       "      <td>American Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Aquarium</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Café</td>\n",
       "      <td>Fried Chicken Joint</td>\n",
       "      <td>Brewery</td>\n",
       "      <td>Scenic Lookout</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Baseball Stadium</td>\n",
       "      <td>Sports Bar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Gastropub</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Deli / Bodega</td>\n",
       "      <td>American Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Café</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Gastropub</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Steakhouse</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Pharmacy</td>\n",
       "      <td>Vegetarian / Vegan Restaurant</td>\n",
       "      <td>Park</td>\n",
       "      <td>History Museum</td>\n",
       "      <td>Indian Restaurant</td>\n",
       "      <td>Cosmetics Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Café</td>\n",
       "      <td>Bookstore</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Beer Bar</td>\n",
       "      <td>Beer Store</td>\n",
       "      <td>Sandwich Place</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Café</td>\n",
       "      <td>Vegetarian / Vegan Restaurant</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Dumpling Restaurant</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Vietnamese Restaurant</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Airport Lounge</td>\n",
       "      <td>Airport Service</td>\n",
       "      <td>Harbor / Marina</td>\n",
       "      <td>Airport Terminal</td>\n",
       "      <td>Sculpture Garden</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Boat or Ferry</td>\n",
       "      <td>Plane</td>\n",
       "      <td>Airport Gate</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "      <td>Beer Bar</td>\n",
       "      <td>Cocktail Bar</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Park</td>\n",
       "      <td>Art Gallery</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Deli / Bodega</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Steakhouse</td>\n",
       "      <td>Asian Restaurant</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Burger Joint</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Café</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Park</td>\n",
       "      <td>Athletics &amp; Sports</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Nightclub</td>\n",
       "      <td>Baby Store</td>\n",
       "      <td>Coffee Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>West Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Supermarket</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Pharmacy</td>\n",
       "      <td>Café</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Middle Eastern Restaurant</td>\n",
       "      <td>Music Venue</td>\n",
       "      <td>Portuguese Restaurant</td>\n",
       "      <td>Brazilian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>West Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Asian Restaurant</td>\n",
       "      <td>Cocktail Bar</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>New American Restaurant</td>\n",
       "      <td>Men's Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>West Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Intersection</td>\n",
       "      <td>Convenience Store</td>\n",
       "      <td>Pet Store</td>\n",
       "      <td>Gym / Fitness Center</td>\n",
       "      <td>Nightclub</td>\n",
       "      <td>Climbing Gym</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>West Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Café</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Thai Restaurant</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Music Venue</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Fried Chicken Joint</td>\n",
       "      <td>Flea Market</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>West Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Gift Shop</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Eastern European Restaurant</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Movie Theater</td>\n",
       "      <td>Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>West Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Café</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Tea Room</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Food &amp; Drink Shop</td>\n",
       "      <td>French Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>East Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Light Rail Station</td>\n",
       "      <td>Farmers Market</td>\n",
       "      <td>Auto Workshop</td>\n",
       "      <td>Comic Shop</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Butcher</td>\n",
       "      <td>Burrito Place</td>\n",
       "      <td>Brewery</td>\n",
       "      <td>Skate Park</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             Borough  Cluster Labels 1st Most Common Venue  \\\n",
       "1       East Toronto               0      Greek Restaurant   \n",
       "2       East Toronto               0           Pizza Place   \n",
       "3       East Toronto               0                  Café   \n",
       "5    Central Toronto               0        Clothing Store   \n",
       "6    Central Toronto               0   Sporting Goods Shop   \n",
       "7    Central Toronto               0           Pizza Place   \n",
       "9    Central Toronto               0                   Pub   \n",
       "11  Downtown Toronto               0           Coffee Shop   \n",
       "12  Downtown Toronto               0           Coffee Shop   \n",
       "13  Downtown Toronto               0           Coffee Shop   \n",
       "14  Downtown Toronto               0           Coffee Shop   \n",
       "15  Downtown Toronto               0           Coffee Shop   \n",
       "16  Downtown Toronto               0           Coffee Shop   \n",
       "17  Downtown Toronto               0           Coffee Shop   \n",
       "18  Downtown Toronto               0           Coffee Shop   \n",
       "19  Downtown Toronto               0           Coffee Shop   \n",
       "20  Downtown Toronto               0           Coffee Shop   \n",
       "21  Downtown Toronto               0           Coffee Shop   \n",
       "24   Central Toronto               0           Coffee Shop   \n",
       "25  Downtown Toronto               0                  Café   \n",
       "26  Downtown Toronto               0                  Café   \n",
       "27  Downtown Toronto               0        Airport Lounge   \n",
       "28  Downtown Toronto               0           Coffee Shop   \n",
       "29  Downtown Toronto               0           Coffee Shop   \n",
       "30  Downtown Toronto               0                  Café   \n",
       "31      West Toronto               0           Supermarket   \n",
       "32      West Toronto               0                   Bar   \n",
       "33      West Toronto               0           Coffee Shop   \n",
       "34      West Toronto               0                  Café   \n",
       "35      West Toronto               0        Breakfast Spot   \n",
       "36      West Toronto               0                  Café   \n",
       "37      East Toronto               0    Light Rail Station   \n",
       "\n",
       "            2nd Most Common Venue 3rd Most Common Venue  \\\n",
       "1                     Coffee Shop    Italian Restaurant   \n",
       "2                       Pet Store            Board Shop   \n",
       "3                     Coffee Shop                Bakery   \n",
       "5                  Breakfast Spot               Dog Run   \n",
       "6                     Coffee Shop        Clothing Store   \n",
       "7                    Dessert Shop           Coffee Shop   \n",
       "9                     Coffee Shop           Pizza Place   \n",
       "11                     Restaurant                  Café   \n",
       "12            Japanese Restaurant      Sushi Restaurant   \n",
       "13                           Café                Bakery   \n",
       "14                 Clothing Store                  Café   \n",
       "15                           Café            Restaurant   \n",
       "16                   Cocktail Bar    Seafood Restaurant   \n",
       "17             Italian Restaurant                  Café   \n",
       "18                           Café            Steakhouse   \n",
       "19                       Aquarium                 Hotel   \n",
       "20                           Café                 Hotel   \n",
       "21                          Hotel                  Café   \n",
       "24                           Café        Sandwich Place   \n",
       "25                      Bookstore                Bakery   \n",
       "26  Vegetarian / Vegan Restaurant                   Bar   \n",
       "27                Airport Service       Harbor / Marina   \n",
       "28                     Restaurant                  Café   \n",
       "29                           Café                 Hotel   \n",
       "30                  Grocery Store                  Park   \n",
       "31                         Bakery              Pharmacy   \n",
       "32                    Coffee Shop      Asian Restaurant   \n",
       "33                           Café        Breakfast Spot   \n",
       "34             Mexican Restaurant       Thai Restaurant   \n",
       "35                      Gift Shop    Italian Restaurant   \n",
       "36                    Coffee Shop           Pizza Place   \n",
       "37                 Farmers Market         Auto Workshop   \n",
       "\n",
       "     4th Most Common Venue        5th Most Common Venue  \\\n",
       "1   Furniture / Home Store               Ice Cream Shop   \n",
       "2                  Brewery                 Burger Joint   \n",
       "3       Italian Restaurant          American Restaurant   \n",
       "5        Food & Drink Shop                        Hotel   \n",
       "6              Yoga Studio           Mexican Restaurant   \n",
       "7           Sandwich Place             Sushi Restaurant   \n",
       "9               Sports Bar                   Bagel Shop   \n",
       "11             Pizza Place                          Pub   \n",
       "12              Restaurant                      Gay Bar   \n",
       "13                    Park               Breakfast Spot   \n",
       "14          Cosmetics Shop    Middle Eastern Restaurant   \n",
       "15                   Hotel           Italian Restaurant   \n",
       "16                    Café                  Cheese Shop   \n",
       "17          Ice Cream Shop    Middle Eastern Restaurant   \n",
       "18                     Bar               Cosmetics Shop   \n",
       "19                    Café          Fried Chicken Joint   \n",
       "20              Restaurant                          Bar   \n",
       "21              Restaurant                    Gastropub   \n",
       "24             Pizza Place                     Pharmacy   \n",
       "25     Japanese Restaurant                          Bar   \n",
       "26     Dumpling Restaurant                       Bakery   \n",
       "27        Airport Terminal             Sculpture Garden   \n",
       "28      Seafood Restaurant                     Beer Bar   \n",
       "29              Restaurant                Deli / Bodega   \n",
       "30      Athletics & Sports                        Diner   \n",
       "31                    Café                         Bank   \n",
       "32            Cocktail Bar                   Restaurant   \n",
       "33                     Gym                 Intersection   \n",
       "34      Italian Restaurant                  Music Venue   \n",
       "35            Dessert Shop  Eastern European Restaurant   \n",
       "36                Tea Room             Sushi Restaurant   \n",
       "37              Comic Shop                  Pizza Place   \n",
       "\n",
       "            6th Most Common Venue      7th Most Common Venue  \\\n",
       "1                             Pub                        Spa   \n",
       "2                  Sandwich Place              Burrito Place   \n",
       "3                     Yoga Studio    Comfort Food Restaurant   \n",
       "5                            Park             Sandwich Place   \n",
       "6                           Diner         Miscellaneous Shop   \n",
       "7              Italian Restaurant                       Café   \n",
       "9                     Supermarket           Sushi Restaurant   \n",
       "11                       Pharmacy                     Bakery   \n",
       "12                            Pub                Men's Store   \n",
       "13             Mexican Restaurant                    Theater   \n",
       "14                       Tea Room                      Diner   \n",
       "15                         Bakery             Breakfast Spot   \n",
       "16                 Farmers Market                 Steakhouse   \n",
       "17                 Sandwich Place               Burger Joint   \n",
       "18               Asian Restaurant               Burger Joint   \n",
       "19                        Brewery             Scenic Lookout   \n",
       "20                      Gastropub                     Bakery   \n",
       "21                            Gym         Italian Restaurant   \n",
       "24  Vegetarian / Vegan Restaurant                       Park   \n",
       "25                     Restaurant         Italian Restaurant   \n",
       "26             Mexican Restaurant      Vietnamese Restaurant   \n",
       "27                    Coffee Shop                        Bar   \n",
       "28                   Cocktail Bar                      Hotel   \n",
       "29                            Bar                 Steakhouse   \n",
       "30             Italian Restaurant                 Restaurant   \n",
       "31                            Bar  Middle Eastern Restaurant   \n",
       "32                           Café                Pizza Place   \n",
       "33              Convenience Store                  Pet Store   \n",
       "34                 Discount Store                     Bakery   \n",
       "35                            Bar                       Bank   \n",
       "36                     Restaurant                      Diner   \n",
       "37                     Restaurant                    Butcher   \n",
       "\n",
       "       8th Most Common Venue    9th Most Common Venue 10th Most Common Venue  \n",
       "1                  Bookstore                  Brewery        Bubble Tea Shop  \n",
       "2                        Pub                     Park       Sushi Restaurant  \n",
       "3         Seafood Restaurant           Sandwich Place            Cheese Shop  \n",
       "5              Grocery Store                      Gym      Electronics Store  \n",
       "6               Dessert Shop                     Park     Chinese Restaurant  \n",
       "7                        Gym            Deli / Bodega       Greek Restaurant  \n",
       "9                 Restaurant             Liquor Store    Fried Chicken Joint  \n",
       "11                      Park       Italian Restaurant              Pet Store  \n",
       "12  Mediterranean Restaurant                    Hotel                    Gym  \n",
       "13      Gym / Fitness Center                      Pub  Performing Arts Venue  \n",
       "14       Sporting Goods Shop                Bookstore   Fast Food Restaurant  \n",
       "15            Clothing Store                Gastropub               Beer Bar  \n",
       "16                  Beer Bar                   Bakery     Belgian Restaurant  \n",
       "17         Indian Restaurant                      Spa                    Bar  \n",
       "18                     Hotel          Thai Restaurant    American Restaurant  \n",
       "19        Italian Restaurant         Baseball Stadium             Sports Bar  \n",
       "20        Italian Restaurant            Deli / Bodega    American Restaurant  \n",
       "21       American Restaurant               Steakhouse     Seafood Restaurant  \n",
       "24            History Museum        Indian Restaurant         Cosmetics Shop  \n",
       "25                  Beer Bar               Beer Store         Sandwich Place  \n",
       "26        Chinese Restaurant              Coffee Shop                   Park  \n",
       "27             Boat or Ferry                    Plane           Airport Gate  \n",
       "28        Italian Restaurant                     Park            Art Gallery  \n",
       "29          Asian Restaurant                      Gym           Burger Joint  \n",
       "30                 Nightclub               Baby Store            Coffee Shop  \n",
       "31               Music Venue    Portuguese Restaurant   Brazilian Restaurant  \n",
       "32                    Bakery  New American Restaurant            Men's Store  \n",
       "33      Gym / Fitness Center                Nightclub           Climbing Gym  \n",
       "34                     Diner      Fried Chicken Joint            Flea Market  \n",
       "35                   Dog Run            Movie Theater             Restaurant  \n",
       "36        Italian Restaurant        Food & Drink Shop      French Restaurant  \n",
       "37             Burrito Place                  Brewery             Skate Park  "
      ]
     },
     "execution_count": 70,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "toronto_merged.loc[toronto_merged['Cluster Labels'] == 0, toronto_merged.columns[[1] + list(range(5, toronto_merged.shape[1]))]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Borough                   32\n",
       "Cluster Labels            32\n",
       "1st Most Common Venue     32\n",
       "2nd Most Common Venue     32\n",
       "3rd Most Common Venue     32\n",
       "4th Most Common Venue     32\n",
       "5th Most Common Venue     32\n",
       "6th Most Common Venue     32\n",
       "7th Most Common Venue     32\n",
       "8th Most Common Venue     32\n",
       "9th Most Common Venue     32\n",
       "10th Most Common Venue    32\n",
       "dtype: int64"
      ]
     },
     "execution_count": 71,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "toronto_merged.loc[toronto_merged['Cluster Labels'] == 0, toronto_merged.columns[[1] + list(range(5, toronto_merged.shape[1]))]].count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    .dataframe tbody tr th:only-of-type {\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Borough</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>22</th>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Garden</td>\n",
       "      <td>Wings Joint</td>\n",
       "      <td>Farmers Market</td>\n",
       "      <td>Falafel Restaurant</td>\n",
       "      <td>Event Space</td>\n",
       "      <td>Ethiopian Restaurant</td>\n",
       "      <td>Electronics Store</td>\n",
       "      <td>Eastern European Restaurant</td>\n",
       "      <td>Dumpling Restaurant</td>\n",
       "      <td>Donut Shop</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Borough  Cluster Labels 1st Most Common Venue  \\\n",
       "22  Central Toronto               1                Garden   \n",
       "\n",
       "   2nd Most Common Venue 3rd Most Common Venue 4th Most Common Venue  \\\n",
       "22           Wings Joint        Farmers Market    Falafel Restaurant   \n",
       "\n",
       "   5th Most Common Venue 6th Most Common Venue 7th Most Common Venue  \\\n",
       "22           Event Space  Ethiopian Restaurant     Electronics Store   \n",
       "\n",
       "          8th Most Common Venue 9th Most Common Venue 10th Most Common Venue  \n",
       "22  Eastern European Restaurant   Dumpling Restaurant             Donut Shop  "
      ]
     },
     "execution_count": 72,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "toronto_merged.loc[toronto_merged['Cluster Labels'] == 1, toronto_merged.columns[[1] + list(range(5, toronto_merged.shape[1]))]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Borough</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>4</th>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>2</td>\n",
       "      <td>Bus Line</td>\n",
       "      <td>Park</td>\n",
       "      <td>Lawyer</td>\n",
       "      <td>Swim School</td>\n",
       "      <td>Wings Joint</td>\n",
       "      <td>Farmers Market</td>\n",
       "      <td>Falafel Restaurant</td>\n",
       "      <td>Event Space</td>\n",
       "      <td>Ethiopian Restaurant</td>\n",
       "      <td>Electronics Store</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           Borough  Cluster Labels 1st Most Common Venue  \\\n",
       "4  Central Toronto               2              Bus Line   \n",
       "\n",
       "  2nd Most Common Venue 3rd Most Common Venue 4th Most Common Venue  \\\n",
       "4                  Park                Lawyer           Swim School   \n",
       "\n",
       "  5th Most Common Venue 6th Most Common Venue 7th Most Common Venue  \\\n",
       "4           Wings Joint        Farmers Market    Falafel Restaurant   \n",
       "\n",
       "  8th Most Common Venue 9th Most Common Venue 10th Most Common Venue  \n",
       "4           Event Space  Ethiopian Restaurant      Electronics Store  "
      ]
     },
     "execution_count": 73,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "toronto_merged.loc[toronto_merged['Cluster Labels'] == 2, toronto_merged.columns[[1] + list(range(5, toronto_merged.shape[1]))]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
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       "\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Borough</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>East Toronto</td>\n",
       "      <td>3</td>\n",
       "      <td>Health Food Store</td>\n",
       "      <td>Trail</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Farmers Market</td>\n",
       "      <td>Falafel Restaurant</td>\n",
       "      <td>Event Space</td>\n",
       "      <td>Ethiopian Restaurant</td>\n",
       "      <td>Electronics Store</td>\n",
       "      <td>Eastern European Restaurant</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        Borough  Cluster Labels 1st Most Common Venue 2nd Most Common Venue  \\\n",
       "0  East Toronto               3     Health Food Store                 Trail   \n",
       "\n",
       "  3rd Most Common Venue 4th Most Common Venue 5th Most Common Venue  \\\n",
       "0                   Pub          Dessert Shop        Farmers Market   \n",
       "\n",
       "  6th Most Common Venue 7th Most Common Venue 8th Most Common Venue  \\\n",
       "0    Falafel Restaurant           Event Space  Ethiopian Restaurant   \n",
       "\n",
       "  9th Most Common Venue       10th Most Common Venue  \n",
       "0     Electronics Store  Eastern European Restaurant  "
      ]
     },
     "execution_count": 74,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "toronto_merged.loc[toronto_merged['Cluster Labels'] == 3, toronto_merged.columns[[1] + list(range(5, toronto_merged.shape[1]))]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "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>Borough</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>8</th>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>4</td>\n",
       "      <td>Playground</td>\n",
       "      <td>Park</td>\n",
       "      <td>Summer Camp</td>\n",
       "      <td>Tennis Court</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Falafel Restaurant</td>\n",
       "      <td>Event Space</td>\n",
       "      <td>Ethiopian Restaurant</td>\n",
       "      <td>Electronics Store</td>\n",
       "      <td>Eastern European Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>4</td>\n",
       "      <td>Park</td>\n",
       "      <td>Playground</td>\n",
       "      <td>Trail</td>\n",
       "      <td>Building</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Falafel Restaurant</td>\n",
       "      <td>Event Space</td>\n",
       "      <td>Ethiopian Restaurant</td>\n",
       "      <td>Electronics Store</td>\n",
       "      <td>Eastern European Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>4</td>\n",
       "      <td>Park</td>\n",
       "      <td>Trail</td>\n",
       "      <td>Jewelry Store</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Wings Joint</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Falafel Restaurant</td>\n",
       "      <td>Event Space</td>\n",
       "      <td>Ethiopian Restaurant</td>\n",
       "      <td>Electronics Store</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             Borough  Cluster Labels 1st Most Common Venue  \\\n",
       "8    Central Toronto               4            Playground   \n",
       "10  Downtown Toronto               4                  Park   \n",
       "23   Central Toronto               4                  Park   \n",
       "\n",
       "   2nd Most Common Venue 3rd Most Common Venue 4th Most Common Venue  \\\n",
       "8                   Park           Summer Camp          Tennis Court   \n",
       "10            Playground                 Trail              Building   \n",
       "23                 Trail         Jewelry Store      Sushi Restaurant   \n",
       "\n",
       "   5th Most Common Venue 6th Most Common Venue 7th Most Common Venue  \\\n",
       "8           Dessert Shop    Falafel Restaurant           Event Space   \n",
       "10          Dessert Shop    Falafel Restaurant           Event Space   \n",
       "23           Wings Joint                 Diner    Falafel Restaurant   \n",
       "\n",
       "   8th Most Common Venue 9th Most Common Venue       10th Most Common Venue  \n",
       "8   Ethiopian Restaurant     Electronics Store  Eastern European Restaurant  \n",
       "10  Ethiopian Restaurant     Electronics Store  Eastern European Restaurant  \n",
       "23           Event Space  Ethiopian Restaurant            Electronics Store  "
      ]
     },
     "execution_count": 75,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "toronto_merged.loc[toronto_merged['Cluster Labels'] == 4, toronto_merged.columns[[1] + list(range(5, toronto_merged.shape[1]))]]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## We can see that we have 32 observations in cluster 0, 1 in cluster 1, 1 in cluster 2, 1 in cluster 3 and 3 in cluster 4"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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