week-3-assignment-part3.ipynb

{
  "cells": [
    {
      "metadata": {
        "collapsed": true
      },
      "cell_type": "markdown",
      "source": "This is a continuation from notebooks part 1 and part 2 for week 3."
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "import pandas as pd\nimport numpy as np\nimport folium\nimport requests\nfrom sklearn.cluster import KMeans",
      "execution_count": 1,
      "outputs": []
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "# Read .csv file from previous notebook\ndf = pd.read_csv('Toronto_Postcodes_2.csv', index_col=0)\ndf.head()",
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "execute_result",
          "execution_count": 2,
          "data": {
            "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>PostalCode</th>\n      <th>Borough</th>\n      <th>Neighbourhood</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": "  PostalCode      Borough                           Neighbourhood   Latitude  \\\n0        M1B  Scarborough                          Rouge, Malvern  43.806686   \n1        M1C  Scarborough  Highland Creek, Rouge Hill, Port Union  43.784535   \n2        M1E  Scarborough       Guildwood, Morningside, West Hill  43.763573   \n3        M1G  Scarborough                                  Woburn  43.770992   \n4        M1H  Scarborough                               Cedarbrae  43.773136   \n\n   Longitude  \n0 -79.194353  \n1 -79.160497  \n2 -79.188711  \n3 -79.216917  \n4 -79.239476  "
          },
          "metadata": {}
        }
      ]
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "print('The dataframe has {} boroughs and {} neighborhoods.'.format(\n        len(df['Borough'].unique()),\n        df.shape[0]\n    )\n)",
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "stream",
          "text": "The dataframe has 11 boroughs and 103 neighborhoods.\n",
          "name": "stdout"
        }
      ]
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "df.rename(columns={'Neighbourhood': 'Neighborhood'}, inplace=True)",
      "execution_count": 4,
      "outputs": []
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "df.groupby('Borough').count()['Neighborhood']",
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "execute_result",
          "execution_count": 5,
          "data": {
            "text/plain": "Borough\nCentral Toronto      9\nDowntown Toronto    18\nEast Toronto         5\nEast York            5\nEtobicoke           12\nMississauga          1\nNorth York          24\nQueen's Park         1\nScarborough         17\nWest Toronto         6\nYork                 5\nName: Neighborhood, dtype: int64"
          },
          "metadata": {}
        }
      ]
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "df_toronto = df[df['Borough'].str.contains('Toronto')]\ndf_toronto.reset_index(inplace=True)\ndf_toronto.drop('index', axis=1, inplace=True)\ndf_toronto.head()",
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "stream",
          "text": "/home/nbuser/anaconda3_501/lib/python3.6/site-packages/ipykernel/__main__.py:3: SettingWithCopyWarning: \nA value is trying to be set on a copy of a slice from a DataFrame\n\nSee the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n  app.launch_new_instance()\n",
          "name": "stderr"
        },
        {
          "output_type": "execute_result",
          "execution_count": 6,
          "data": {
            "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>PostalCode</th>\n      <th>Borough</th>\n      <th>Neighborhood</th>\n      <th>Latitude</th>\n      <th>Longitude</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>M4E</td>\n      <td>East Toronto</td>\n      <td>The Beaches</td>\n      <td>43.676357</td>\n      <td>-79.293031</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>M4K</td>\n      <td>East Toronto</td>\n      <td>The Danforth West, Riverdale</td>\n      <td>43.679557</td>\n      <td>-79.352188</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>M4L</td>\n      <td>East Toronto</td>\n      <td>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": "  PostalCode          Borough                    Neighborhood   Latitude  \\\n0        M4E     East Toronto                     The Beaches  43.676357   \n1        M4K     East Toronto    The Danforth West, Riverdale  43.679557   \n2        M4L     East Toronto  The Beaches West, India Bazaar  43.668999   \n3        M4M     East Toronto                 Studio District  43.659526   \n4        M4N  Central Toronto                   Lawrence Park  43.728020   \n\n   Longitude  \n0 -79.293031  \n1 -79.352188  \n2 -79.315572  \n3 -79.340923  \n4 -79.388790  "
          },
          "metadata": {}
        }
      ]
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "#Check the number of neighborhoods\nprint(df_toronto.groupby('Borough').count()['Neighborhood'])",
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "stream",
          "text": "Borough\nCentral Toronto      9\nDowntown Toronto    18\nEast Toronto         5\nWest Toronto         6\nName: Neighborhood, dtype: int64\n",
          "name": "stdout"
        }
      ]
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "#Create list with the Boroughs (to be used later)\nboroughs = df_toronto['Borough'].unique().tolist()",
      "execution_count": 8,
      "outputs": []
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "#Obtain the coordinates from the dataset itself, just averaging Latitude/Longitude of the current dataset \nlat_toronto = df_toronto['Latitude'].mean()\nlon_toronto = df_toronto['Longitude'].mean()\nprint('The geographical coordinates of Toronto are {}, {}'.format(lat_toronto, lon_toronto))",
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "stream",
          "text": "The geographical coordinates of Toronto are 43.66726218421052, -79.38988323421053\n",
          "name": "stdout"
        }
      ]
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "borough_color = {}\nfor borough in boroughs:\n    borough_color[borough]= '#%02X%02X%02X' % tuple(np.random.choice(range(256), size=3)) #Random color",
      "execution_count": 10,
      "outputs": []
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "map_toronto = folium.Map(location=[lat_toronto, lon_toronto], zoom_start=12)\n\n# add markers to map\nfor lat, lng, borough, neighborhood in zip(df_toronto['Latitude'], \n                                           df_toronto['Longitude'],\n                                           df_toronto['Borough'], \n                                           df_toronto['Neighborhood']):\n    label_text = borough + ' - ' + neighborhood\n    label = folium.Popup(label_text)\n    folium.CircleMarker(\n        [lat, lng],\n        radius=5,\n        popup=label,\n        color=borough_color[borough],\n        fill_color=borough_color[borough],\n        fill_opacity=0.7).add_to(map_toronto)  \n    \nmap_toronto",
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "execute_result",
          "execution_count": 15,
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        </script>
        \" style=\"position:absolute;width:100%;height:100%;left:0;top:0;\"></iframe></div></div>",
            "text/plain": "<folium.folium.Map at 0x7fa92766d8d0>"
          },
          "metadata": {}
        }
      ]
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "## Using Foursquare data"
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "CLIENT_ID = '' # your Foursquare ID\nCLIENT_SECRET = '' # your Foursquare Secret\nVERSION = '' # Foursquare API version\nLIMIT = 100 # limit of number of venues returned by Foursquare API\nradius = 500 # define radius",
      "execution_count": 16,
      "outputs": []
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "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)",
      "execution_count": 17,
      "outputs": []
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "#Get venues for all neighborhoods in our dataset\ntoronto_venues = getNearbyVenues(names=df_toronto['Neighborhood'],\n                                latitudes=df_toronto['Latitude'],\n                                longitudes=df_toronto['Longitude'])",
      "execution_count": 18,
      "outputs": [
        {
          "output_type": "stream",
          "text": "The Beaches\nThe Danforth West, Riverdale\nThe Beaches West, India Bazaar\nStudio District\nLawrence Park\nDavisville North\nNorth Toronto West\nDavisville\nMoore Park, Summerhill East\nDeer Park, Forest Hill SE, Rathnelly, South Hill, Summerhill West\nRosedale\nCabbagetown, St. James Town\nChurch and Wellesley\nHarbourfront, Regent Park\nRyerson, Garden District\nSt. James Town\nBerczy Park\nCentral Bay Street\nAdelaide, King, Richmond\nHarbourfront East, Toronto Islands, Union Station\nDesign Exchange, Toronto Dominion Centre\nCommerce Court, Victoria Hotel\nRoselawn\nForest Hill North, Forest Hill West\nThe Annex, North Midtown, Yorkville\nHarbord, University of Toronto\nChinatown, Grange Park, Kensington Market\nCN Tower, Bathurst Quay, Island airport, Harbourfront West, King and Spadina, Railway Lands, South Niagara\nStn A PO Boxes 25 The Esplanade\nFirst Canadian Place, Underground city\nChristie\nDovercourt Village, Dufferin\nLittle Portugal, Trinity\nBrockton, Exhibition Place, Parkdale Village\nHigh Park, The Junction South\nParkdale, Roncesvalles\nRunnymede, Swansea\nBusiness Reply Mail Processing Centre 969 Eastern\n",
          "name": "stdout"
        }
      ]
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "#Check size of resulting dataframe\ntoronto_venues.shape",
      "execution_count": 19,
      "outputs": [
        {
          "output_type": "execute_result",
          "execution_count": 19,
          "data": {
            "text/plain": "(1694, 7)"
          },
          "metadata": {}
        }
      ]
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "toronto_venues.head()",
      "execution_count": 20,
      "outputs": [
        {
          "output_type": "execute_result",
          "execution_count": 20,
          "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>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>1</th>\n      <td>The Beaches</td>\n      <td>43.676357</td>\n      <td>-79.293031</td>\n      <td>Starbucks</td>\n      <td>43.678798</td>\n      <td>-79.298045</td>\n      <td>Coffee Shop</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>Glen Stewart Ravine</td>\n      <td>43.676300</td>\n      <td>-79.294784</td>\n      <td>Other Great Outdoors</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  \\\n0                   The Beaches              43.676357   \n1                   The Beaches              43.676357   \n2                   The Beaches              43.676357   \n3                   The Beaches              43.676357   \n4  The Danforth West, Riverdale              43.679557   \n\n   Neighborhood Longitude                Venue  Venue Latitude  \\\n0              -79.293031  Grover Pub and Grub       43.679181   \n1              -79.293031            Starbucks       43.678798   \n2              -79.293031  Glen Stewart Ravine       43.676300   \n3              -79.293031        Upper Beaches       43.680563   \n4              -79.352188             Pantheon       43.677621   \n\n   Venue Longitude        Venue Category  \n0       -79.297215                   Pub  \n1       -79.298045           Coffee Shop  \n2       -79.294784  Other Great Outdoors  \n3       -79.292869          Neighborhood  \n4       -79.351434      Greek Restaurant  "
          },
          "metadata": {}
        }
      ]
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "#Number of venues per neighborhood\ntoronto_venues.groupby('Neighborhood').count()",
      "execution_count": 21,
      "outputs": [
        {
          "output_type": "execute_result",
          "execution_count": 21,
          "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>55</td>\n      <td>55</td>\n      <td>55</td>\n      <td>55</td>\n      <td>55</td>\n      <td>55</td>\n    </tr>\n    <tr>\n      <th>Brockton, Exhibition Place, Parkdale Village</th>\n      <td>20</td>\n      <td>20</td>\n      <td>20</td>\n      <td>20</td>\n      <td>20</td>\n      <td>20</td>\n    </tr>\n    <tr>\n      <th>Business Reply Mail Processing Centre 969 Eastern</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>CN Tower, Bathurst Quay, Island airport, Harbourfront West, King and Spadina, Railway Lands, South Niagara</th>\n      <td>12</td>\n      <td>12</td>\n      <td>12</td>\n      <td>12</td>\n      <td>12</td>\n      <td>12</td>\n    </tr>\n    <tr>\n      <th>Cabbagetown, St. James Town</th>\n      <td>47</td>\n      <td>47</td>\n      <td>47</td>\n      <td>47</td>\n      <td>47</td>\n      <td>47</td>\n    </tr>\n    <tr>\n      <th>Central Bay Street</th>\n      <td>81</td>\n      <td>81</td>\n      <td>81</td>\n      <td>81</td>\n      <td>81</td>\n      <td>81</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>87</td>\n      <td>87</td>\n      <td>87</td>\n      <td>87</td>\n      <td>87</td>\n      <td>87</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>36</td>\n      <td>36</td>\n      <td>36</td>\n      <td>36</td>\n      <td>36</td>\n      <td>36</td>\n    </tr>\n    <tr>\n      <th>Davisville North</th>\n      <td>8</td>\n      <td>8</td>\n      <td>8</td>\n      <td>8</td>\n      <td>8</td>\n      <td>8</td>\n    </tr>\n    <tr>\n      <th>Deer Park, Forest Hill SE, Rathnelly, South Hill, Summerhill West</th>\n      <td>14</td>\n      <td>14</td>\n      <td>14</td>\n      <td>14</td>\n      <td>14</td>\n      <td>14</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>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>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>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>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>48</td>\n      <td>48</td>\n      <td>48</td>\n      <td>48</td>\n      <td>48</td>\n      <td>48</td>\n    </tr>\n    <tr>\n      <th>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>64</td>\n      <td>64</td>\n      <td>64</td>\n      <td>64</td>\n      <td>64</td>\n      <td>64</td>\n    </tr>\n    <tr>\n      <th>Moore Park, Summerhill East</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>North Toronto West</th>\n      <td>20</td>\n      <td>20</td>\n      <td>20</td>\n      <td>20</td>\n      <td>20</td>\n      <td>20</td>\n    </tr>\n    <tr>\n      <th>Parkdale, Roncesvalles</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>Rosedale</th>\n      <td>4</td>\n      <td>4</td>\n      <td>4</td>\n      <td>4</td>\n      <td>4</td>\n      <td>4</td>\n    </tr>\n    <tr>\n      <th>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>36</td>\n      <td>36</td>\n      <td>36</td>\n      <td>36</td>\n      <td>36</td>\n      <td>36</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>94</td>\n      <td>94</td>\n      <td>94</td>\n      <td>94</td>\n      <td>94</td>\n      <td>94</td>\n    </tr>\n    <tr>\n      <th>Studio District</th>\n      <td>41</td>\n      <td>41</td>\n      <td>41</td>\n      <td>41</td>\n      <td>41</td>\n      <td>41</td>\n    </tr>\n    <tr>\n      <th>The Annex, North Midtown, Yorkville</th>\n      <td>25</td>\n      <td>25</td>\n      <td>25</td>\n      <td>25</td>\n      <td>25</td>\n      <td>25</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>20</td>\n      <td>20</td>\n      <td>20</td>\n      <td>20</td>\n      <td>20</td>\n      <td>20</td>\n    </tr>\n    <tr>\n      <th>The Danforth West, Riverdale</th>\n      <td>42</td>\n      <td>42</td>\n      <td>42</td>\n      <td>42</td>\n      <td>42</td>\n      <td>42</td>\n    </tr>\n  </tbody>\n</table>\n</div>",
            "text/plain": "                                                    Neighborhood Latitude  \\\nNeighborhood                                                                \nAdelaide, King, Richmond                                              100   \nBerczy Park                                                            55   \nBrockton, Exhibition Place, Parkdale Village                           20   \nBusiness Reply Mail Processing Centre 969 Eastern                      16   \nCN Tower, Bathurst Quay, Island airport, Harbou...                     12   \nCabbagetown, St. James Town                                            47   \nCentral Bay Street                                                     81   \nChinatown, Grange Park, Kensington Market                             100   \nChristie                                                               16   \nChurch and Wellesley                                                   87   \nCommerce Court, Victoria Hotel                                        100   \nDavisville                                                             36   \nDavisville North                                                        8   \nDeer Park, Forest Hill SE, Rathnelly, South Hil...                     14   \nDesign Exchange, Toronto Dominion Centre                              100   \nDovercourt Village, Dufferin                                           21   \nFirst Canadian Place, Underground city                                100   \nForest Hill North, Forest Hill West                                     4   \nHarbord, University of Toronto                                         34   \nHarbourfront East, Toronto Islands, Union Station                     100   \nHarbourfront, Regent Park                                              48   \nHigh Park, The Junction South                                          23   \nLawrence Park                                                           4   \nLittle Portugal, Trinity                                               64   \nMoore Park, Summerhill East                                             1   \nNorth Toronto West                                                     20   \nParkdale, Roncesvalles                                                 16   \nRosedale                                                                4   \nRoselawn                                                                1   \nRunnymede, Swansea                                                     36   \nRyerson, Garden District                                              100   \nSt. James Town                                                        100   \nStn A PO Boxes 25 The Esplanade                                        94   \nStudio District                                                        41   \nThe Annex, North Midtown, Yorkville                                    25   \nThe Beaches                                                             4   \nThe Beaches West, India Bazaar                                         20   \nThe Danforth West, Riverdale                                           42   \n\n                                                    Neighborhood Longitude  \\\nNeighborhood                                                                 \nAdelaide, King, Richmond                                               100   \nBerczy Park                                                             55   \nBrockton, Exhibition Place, Parkdale Village                            20   \nBusiness Reply Mail Processing Centre 969 Eastern                       16   \nCN Tower, Bathurst Quay, Island airport, Harbou...                      12   \nCabbagetown, St. James Town                                             47   \nCentral Bay Street                                                      81   \nChinatown, Grange Park, Kensington Market                              100   \nChristie                                                                16   \nChurch and Wellesley                                                    87   \nCommerce Court, Victoria Hotel                                         100   \nDavisville                                                              36   \nDavisville North                                                         8   \nDeer Park, Forest Hill SE, Rathnelly, South Hil...                      14   \nDesign Exchange, Toronto Dominion Centre                               100   \nDovercourt Village, Dufferin                                            21   \nFirst Canadian Place, Underground city                                 100   \nForest Hill North, Forest Hill West                                      4   \nHarbord, University of Toronto                                          34   \nHarbourfront East, Toronto Islands, Union Station                      100   \nHarbourfront, Regent Park                                               48   \nHigh Park, The Junction South                                           23   \nLawrence Park                                                            4   \nLittle Portugal, Trinity                                                64   \nMoore Park, Summerhill East                                              1   \nNorth Toronto West                                                      20   \nParkdale, Roncesvalles                                                  16   \nRosedale                                                                 4   \nRoselawn                                                                 1   \nRunnymede, Swansea                                                      36   \nRyerson, Garden District                                               100   \nSt. James Town                                                         100   \nStn A PO Boxes 25 The Esplanade                                         94   \nStudio District                                                         41   \nThe Annex, North Midtown, Yorkville                                     25   \nThe Beaches                                                              4   \nThe Beaches West, India Bazaar                                          20   \nThe Danforth West, Riverdale                                            42   \n\n                                                    Venue  Venue Latitude  \\\nNeighborhood                                                                \nAdelaide, King, Richmond                              100             100   \nBerczy Park                                            55              55   \nBrockton, Exhibition Place, Parkdale Village           20              20   \nBusiness Reply Mail Processing Centre 969 Eastern      16              16   \nCN Tower, Bathurst Quay, Island airport, Harbou...     12              12   \nCabbagetown, St. James Town                            47              47   \nCentral Bay Street                                     81              81   \nChinatown, Grange Park, Kensington Market             100             100   \nChristie                                               16              16   \nChurch and Wellesley                                   87              87   \nCommerce Court, Victoria Hotel                        100             100   \nDavisville                                             36              36   \nDavisville North                                        8               8   \nDeer Park, Forest Hill SE, Rathnelly, South Hil...     14              14   \nDesign Exchange, Toronto Dominion Centre              100             100   \nDovercourt Village, Dufferin                           21              21   \nFirst Canadian Place, Underground city                100             100   \nForest Hill North, Forest Hill West                     4               4   \nHarbord, University of Toronto                         34              34   \nHarbourfront East, Toronto Islands, Union Station     100             100   \nHarbourfront, Regent Park                              48              48   \nHigh Park, The Junction South                          23              23   \nLawrence Park                                           4               4   \nLittle Portugal, Trinity                               64              64   \nMoore Park, Summerhill East                             1               1   \nNorth Toronto West                                     20              20   \nParkdale, Roncesvalles                                 16              16   \nRosedale                                                4               4   \nRoselawn                                                1               1   \nRunnymede, Swansea                                     36              36   \nRyerson, Garden District                              100             100   \nSt. James Town                                        100             100   \nStn A PO Boxes 25 The Esplanade                        94              94   \nStudio District                                        41              41   \nThe Annex, North Midtown, Yorkville                    25              25   \nThe Beaches                                             4               4   \nThe Beaches West, India Bazaar                         20              20   \nThe Danforth West, Riverdale                           42              42   \n\n                                                    Venue Longitude  \\\nNeighborhood                                                          \nAdelaide, King, Richmond                                        100   \nBerczy Park                                                      55   \nBrockton, Exhibition Place, Parkdale Village                     20   \nBusiness Reply Mail Processing Centre 969 Eastern                16   \nCN Tower, Bathurst Quay, Island airport, Harbou...               12   \nCabbagetown, St. James Town                                      47   \nCentral Bay Street                                               81   \nChinatown, Grange Park, Kensington Market                       100   \nChristie                                                         16   \nChurch and Wellesley                                             87   \nCommerce Court, Victoria Hotel                                  100   \nDavisville                                                       36   \nDavisville North                                                  8   \nDeer Park, Forest Hill SE, Rathnelly, South Hil...               14   \nDesign Exchange, Toronto Dominion Centre                        100   \nDovercourt Village, Dufferin                                     21   \nFirst Canadian Place, Underground city                          100   \nForest Hill North, Forest Hill West                               4   \nHarbord, University of Toronto                                   34   \nHarbourfront East, Toronto Islands, Union Station               100   \nHarbourfront, Regent Park                                        48   \nHigh Park, The Junction South                                    23   \nLawrence Park                                                     4   \nLittle Portugal, Trinity                                         64   \nMoore Park, Summerhill East                                       1   \nNorth Toronto West                                               20   \nParkdale, Roncesvalles                                           16   \nRosedale                                                          4   \nRoselawn                                                          1   \nRunnymede, Swansea                                               36   \nRyerson, Garden District                                        100   \nSt. James Town                                                  100   \nStn A PO Boxes 25 The Esplanade                                  94   \nStudio District                                                  41   \nThe Annex, North Midtown, Yorkville                              25   \nThe Beaches                                                       4   \nThe Beaches West, India Bazaar                                   20   \nThe Danforth West, Riverdale                                     42   \n\n                                                    Venue Category  \nNeighborhood                                                        \nAdelaide, King, Richmond                                       100  \nBerczy Park                                                     55  \nBrockton, Exhibition Place, Parkdale Village                    20  \nBusiness Reply Mail Processing Centre 969 Eastern               16  \nCN Tower, Bathurst Quay, Island airport, Harbou...              12  \nCabbagetown, St. James Town                                     47  \nCentral Bay Street                                              81  \nChinatown, Grange Park, Kensington Market                      100  \nChristie                                                        16  \nChurch and Wellesley                                            87  \nCommerce Court, Victoria Hotel                                 100  \nDavisville                                                      36  \nDavisville North                                                 8  \nDeer Park, Forest Hill SE, Rathnelly, South Hil...              14  \nDesign Exchange, Toronto Dominion Centre                       100  \nDovercourt Village, Dufferin                                    21  \nFirst Canadian Place, Underground city                         100  \nForest Hill North, Forest Hill West                              4  \nHarbord, University of Toronto                                  34  \nHarbourfront East, Toronto Islands, Union Station              100  \nHarbourfront, Regent Park                                       48  \nHigh Park, The Junction South                                   23  \nLawrence Park                                                    4  \nLittle Portugal, Trinity                                        64  \nMoore Park, Summerhill East                                      1  \nNorth Toronto West                                              20  \nParkdale, Roncesvalles                                          16  \nRosedale                                                         4  \nRoselawn                                                         1  \nRunnymede, Swansea                                              36  \nRyerson, Garden District                                       100  \nSt. James Town                                                 100  \nStn A PO Boxes 25 The Esplanade                                 94  \nStudio District                                                 41  \nThe Annex, North Midtown, Yorkville                             25  \nThe Beaches                                                      4  \nThe Beaches West, India Bazaar                                  20  \nThe Danforth West, Riverdale                                    42  "
          },
          "metadata": {}
        }
      ]
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "#Number of unique venue categories\nprint('There are {} uniques categories.'.format(len(toronto_venues['Venue Category'].unique())))",
      "execution_count": 22,
      "outputs": [
        {
          "output_type": "stream",
          "text": "There are 234 uniques categories.\n",
          "name": "stdout"
        }
      ]
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "# one hot encoding\ntoronto_onehot = pd.get_dummies(toronto_venues[['Venue Category']], prefix=\"\", prefix_sep=\"\")\n\n# add neighborhood column back to dataframe\ntoronto_onehot['Neighborhood'] = toronto_venues['Neighborhood'] \n\n# move neighborhood column to the first column\nfixed_columns = [toronto_onehot.columns[-1]] + list(toronto_onehot.columns[:-1])\ntoronto_onehot = toronto_onehot[fixed_columns]\n\ntoronto_onehot.head()",
      "execution_count": 23,
      "outputs": [
        {
          "output_type": "execute_result",
          "execution_count": 23,
          "data": {
            "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Yoga Studio</th>\n      <th>Adult Boutique</th>\n      <th>Afghan Restaurant</th>\n      <th>Airport</th>\n      <th>Airport Food Court</th>\n      <th>Airport Gate</th>\n      <th>Airport Lounge</th>\n      <th>Airport Service</th>\n      <th>Airport Terminal</th>\n      <th>American Restaurant</th>\n      <th>...</th>\n      <th>Toy / Game Store</th>\n      <th>Trail</th>\n      <th>Train Station</th>\n      <th>Vegetarian / Vegan Restaurant</th>\n      <th>Video Game Store</th>\n      <th>Vietnamese Restaurant</th>\n      <th>Wine Bar</th>\n      <th>Wine Shop</th>\n      <th>Wings Joint</th>\n      <th>Women's Store</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n  </tbody>\n</table>\n<p>5 rows × 234 columns</p>\n</div>",
            "text/plain": "   Yoga Studio  Adult Boutique  Afghan Restaurant  Airport  \\\n0            0               0                  0        0   \n1            0               0                  0        0   \n2            0               0                  0        0   \n3            0               0                  0        0   \n4            0               0                  0        0   \n\n   Airport Food Court  Airport Gate  Airport Lounge  Airport Service  \\\n0                   0             0               0                0   \n1                   0             0               0                0   \n2                   0             0               0                0   \n3                   0             0               0                0   \n4                   0             0               0                0   \n\n   Airport Terminal  American Restaurant      ...        Toy / Game Store  \\\n0                 0                    0      ...                       0   \n1                 0                    0      ...                       0   \n2                 0                    0      ...                       0   \n3                 0                    0      ...                       0   \n4                 0                    0      ...                       0   \n\n   Trail  Train Station  Vegetarian / Vegan Restaurant  Video Game Store  \\\n0      0              0                              0                 0   \n1      0              0                              0                 0   \n2      0              0                              0                 0   \n3      0              0                              0                 0   \n4      0              0                              0                 0   \n\n   Vietnamese Restaurant  Wine Bar  Wine Shop  Wings Joint  Women's Store  \n0                      0         0          0            0              0  \n1                      0         0          0            0              0  \n2                      0         0          0            0              0  \n3                      0         0          0            0              0  \n4                      0         0          0            0              0  \n\n[5 rows x 234 columns]"
          },
          "metadata": {}
        }
      ]
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "toronto_onehot.shape",
      "execution_count": 24,
      "outputs": [
        {
          "output_type": "execute_result",
          "execution_count": 24,
          "data": {
            "text/plain": "(1694, 234)"
          },
          "metadata": {}
        }
      ]
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "toronto_grouped = toronto_onehot.groupby('Neighborhood').mean().reset_index()\ntoronto_grouped",
      "execution_count": 25,
      "outputs": [
        {
          "output_type": "execute_result",
          "execution_count": 25,
          "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>Adult Boutique</th>\n      <th>Afghan Restaurant</th>\n      <th>Airport</th>\n      <th>Airport Food Court</th>\n      <th>Airport Gate</th>\n      <th>Airport Lounge</th>\n      <th>Airport Service</th>\n      <th>Airport Terminal</th>\n      <th>...</th>\n      <th>Toy / Game Store</th>\n      <th>Trail</th>\n      <th>Train Station</th>\n      <th>Vegetarian / Vegan Restaurant</th>\n      <th>Video Game Store</th>\n      <th>Vietnamese Restaurant</th>\n      <th>Wine Bar</th>\n      <th>Wine Shop</th>\n      <th>Wings Joint</th>\n      <th>Women's Store</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      <td>0.000000</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>0.00000</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      <td>0.000000</td>\n      <td>0.01</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Berczy Park</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>...</td>\n      <td>0.000000</td>\n      <td>0.00000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</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      <td>0.000000</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>0.00000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</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      <td>0.000000</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>0.00000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>CN Tower, Bathurst Quay, Island airport, Harbo...</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.083333</td>\n      <td>0.083333</td>\n      <td>0.083333</td>\n      <td>0.166667</td>\n      <td>0.166667</td>\n      <td>0.166667</td>\n      <td>...</td>\n      <td>0.000000</td>\n      <td>0.00000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</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      <td>0.000000</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>0.00000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n    </tr>\n    <tr>\n      <th>6</th>\n      <td>Central Bay Street</td>\n      <td>0.012346</td>\n      <td>0.000000</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>0.00000</td>\n      <td>0.00</td>\n      <td>0.012346</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.012346</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</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>0.00000</td>\n      <td>0.00</td>\n      <td>0.050000</td>\n      <td>0.000000</td>\n      <td>0.040000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.01</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>0.00000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n    </tr>\n    <tr>\n      <th>9</th>\n      <td>Church and Wellesley</td>\n      <td>0.011494</td>\n      <td>0.011494</td>\n      <td>0.011494</td>\n      <td>0.000000</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>0.00000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.011494</td>\n      <td>0.011494</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.011494</td>\n      <td>0.00</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>0.000000</td>\n      <td>...</td>\n      <td>0.000000</td>\n      <td>0.00000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</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>0.027778</td>\n      <td>0.00000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</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>0.00000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n    </tr>\n    <tr>\n      <th>13</th>\n      <td>Deer Park, Forest Hill SE, Rathnelly, South Hi...</td>\n      <td>0.000000</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>0.00000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.071429</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</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>0.000000</td>\n      <td>...</td>\n      <td>0.000000</td>\n      <td>0.00000</td>\n      <td>0.01</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</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>0.00000</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>0.047619</td>\n      <td>0.000000</td>\n      <td>0.00</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>0.000000</td>\n      <td>...</td>\n      <td>0.000000</td>\n      <td>0.00000</td>\n      <td>0.01</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</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>0.25000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</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>0.00000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.029412</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</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>0.00000</td>\n      <td>0.01</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n    </tr>\n    <tr>\n      <th>20</th>\n      <td>Harbourfront, Regent 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>0.00000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</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>0.00000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</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>0.00000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n    </tr>\n    <tr>\n      <th>23</th>\n      <td>Little Portugal, Trinity</td>\n      <td>0.015625</td>\n      <td>0.000000</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>0.00000</td>\n      <td>0.00</td>\n      <td>0.015625</td>\n      <td>0.000000</td>\n      <td>0.031250</td>\n      <td>0.015625</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</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>0.00000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n    </tr>\n    <tr>\n      <th>25</th>\n      <td>North Toronto West</td>\n      <td>0.050000</td>\n      <td>0.000000</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>0.00000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</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>0.00000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</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>0.25000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</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>0.00000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</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>0.00000</td>\n      <td>0.00</td>\n      <td>0.027778</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</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>0.000000</td>\n      <td>...</td>\n      <td>0.010000</td>\n      <td>0.00000</td>\n      <td>0.00</td>\n      <td>0.010000</td>\n      <td>0.010000</td>\n      <td>0.010000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n    </tr>\n    <tr>\n      <th>31</th>\n      <td>St. James Town</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <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>0.00000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.01</td>\n    </tr>\n    <tr>\n      <th>32</th>\n      <td>Stn A PO Boxes 25 The Esplanade</td>\n      <td>0.010638</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</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>0.00000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n    </tr>\n    <tr>\n      <th>33</th>\n      <td>Studio District</td>\n      <td>0.024390</td>\n      <td>0.000000</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>0.00000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</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>0.000000</td>\n      <td>...</td>\n      <td>0.000000</td>\n      <td>0.00000</td>\n      <td>0.00</td>\n      <td>0.040000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</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>0.00000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</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>0.00000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n    </tr>\n    <tr>\n      <th>37</th>\n      <td>The Danforth West, Riverdale</td>\n      <td>0.023810</td>\n      <td>0.000000</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>0.02381</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n    </tr>\n  </tbody>\n</table>\n<p>38 rows × 234 columns</p>\n</div>",
            "text/plain": "                                         Neighborhood  Yoga Studio  \\\n0                            Adelaide, King, Richmond     0.000000   \n1                                         Berczy Park     0.000000   \n2        Brockton, Exhibition Place, Parkdale Village     0.000000   \n3   Business Reply Mail Processing Centre 969 Eastern     0.000000   \n4   CN Tower, Bathurst Quay, Island airport, Harbo...     0.000000   \n5                         Cabbagetown, St. James Town     0.000000   \n6                                  Central Bay Street     0.012346   \n7           Chinatown, Grange Park, Kensington Market     0.000000   \n8                                            Christie     0.000000   \n9                                Church and Wellesley     0.011494   \n10                     Commerce Court, Victoria Hotel     0.000000   \n11                                         Davisville     0.000000   \n12                                   Davisville North     0.000000   \n13  Deer Park, Forest Hill SE, Rathnelly, South Hi...     0.000000   \n14           Design Exchange, Toronto Dominion Centre     0.000000   \n15                       Dovercourt Village, Dufferin     0.000000   \n16             First Canadian Place, Underground city     0.000000   \n17                Forest Hill North, Forest Hill West     0.000000   \n18                     Harbord, University of Toronto     0.000000   \n19  Harbourfront East, Toronto Islands, Union Station     0.000000   \n20                          Harbourfront, Regent Park     0.000000   \n21                      High Park, The Junction South     0.000000   \n22                                      Lawrence Park     0.000000   \n23                           Little Portugal, Trinity     0.015625   \n24                        Moore Park, Summerhill East     0.000000   \n25                                 North Toronto West     0.050000   \n26                             Parkdale, Roncesvalles     0.000000   \n27                                           Rosedale     0.000000   \n28                                           Roselawn     0.000000   \n29                                 Runnymede, Swansea     0.000000   \n30                           Ryerson, Garden District     0.000000   \n31                                     St. James Town     0.010000   \n32                    Stn A PO Boxes 25 The Esplanade     0.010638   \n33                                    Studio District     0.024390   \n34                The Annex, North Midtown, Yorkville     0.000000   \n35                                        The Beaches     0.000000   \n36                     The Beaches West, India Bazaar     0.000000   \n37                       The Danforth West, Riverdale     0.023810   \n\n    Adult Boutique  Afghan Restaurant   Airport  Airport Food Court  \\\n0         0.000000           0.000000  0.000000            0.000000   \n1         0.000000           0.000000  0.000000            0.000000   \n2         0.000000           0.000000  0.000000            0.000000   \n3         0.000000           0.000000  0.000000            0.000000   \n4         0.000000           0.000000  0.083333            0.083333   \n5         0.000000           0.000000  0.000000            0.000000   \n6         0.000000           0.000000  0.000000            0.000000   \n7         0.000000           0.000000  0.000000            0.000000   \n8         0.000000           0.000000  0.000000            0.000000   \n9         0.011494           0.011494  0.000000            0.000000   \n10        0.000000           0.000000  0.000000            0.000000   \n11        0.000000           0.000000  0.000000            0.000000   \n12        0.000000           0.000000  0.000000            0.000000   \n13        0.000000           0.000000  0.000000            0.000000   \n14        0.000000           0.000000  0.000000            0.000000   \n15        0.000000           0.000000  0.000000            0.000000   \n16        0.000000           0.000000  0.000000            0.000000   \n17        0.000000           0.000000  0.000000            0.000000   \n18        0.000000           0.000000  0.000000            0.000000   \n19        0.000000           0.000000  0.000000            0.000000   \n20        0.000000           0.000000  0.000000            0.000000   \n21        0.000000           0.000000  0.000000            0.000000   \n22        0.000000           0.000000  0.000000            0.000000   \n23        0.000000           0.000000  0.000000            0.000000   \n24        0.000000           0.000000  0.000000            0.000000   \n25        0.000000           0.000000  0.000000            0.000000   \n26        0.000000           0.000000  0.000000            0.000000   \n27        0.000000           0.000000  0.000000            0.000000   \n28        0.000000           0.000000  0.000000            0.000000   \n29        0.000000           0.000000  0.000000            0.000000   \n30        0.000000           0.000000  0.000000            0.000000   \n31        0.000000           0.000000  0.000000            0.000000   \n32        0.000000           0.000000  0.000000            0.000000   \n33        0.000000           0.000000  0.000000            0.000000   \n34        0.000000           0.000000  0.000000            0.000000   \n35        0.000000           0.000000  0.000000            0.000000   \n36        0.000000           0.000000  0.000000            0.000000   \n37        0.000000           0.000000  0.000000            0.000000   \n\n    Airport Gate  Airport Lounge  Airport Service  Airport Terminal  \\\n0       0.000000        0.000000         0.000000          0.000000   \n1       0.000000        0.000000         0.000000          0.000000   \n2       0.000000        0.000000         0.000000          0.000000   \n3       0.000000        0.000000         0.000000          0.000000   \n4       0.083333        0.166667         0.166667          0.166667   \n5       0.000000        0.000000         0.000000          0.000000   \n6       0.000000        0.000000         0.000000          0.000000   \n7       0.000000        0.000000         0.000000          0.000000   \n8       0.000000        0.000000         0.000000          0.000000   \n9       0.000000        0.000000         0.000000          0.000000   \n10      0.000000        0.000000         0.000000          0.000000   \n11      0.000000        0.000000         0.000000          0.000000   \n12      0.000000        0.000000         0.000000          0.000000   \n13      0.000000        0.000000         0.000000          0.000000   \n14      0.000000        0.000000         0.000000          0.000000   \n15      0.000000        0.000000         0.000000          0.000000   \n16      0.000000        0.000000         0.000000          0.000000   \n17      0.000000        0.000000         0.000000          0.000000   \n18      0.000000        0.000000         0.000000          0.000000   \n19      0.000000        0.000000         0.000000          0.000000   \n20      0.000000        0.000000         0.000000          0.000000   \n21      0.000000        0.000000         0.000000          0.000000   \n22      0.000000        0.000000         0.000000          0.000000   \n23      0.000000        0.000000         0.000000          0.000000   \n24      0.000000        0.000000         0.000000          0.000000   \n25      0.000000        0.000000         0.000000          0.000000   \n26      0.000000        0.000000         0.000000          0.000000   \n27      0.000000        0.000000         0.000000          0.000000   \n28      0.000000        0.000000         0.000000          0.000000   \n29      0.000000        0.000000         0.000000          0.000000   \n30      0.000000        0.000000         0.000000          0.000000   \n31      0.000000        0.000000         0.000000          0.000000   \n32      0.000000        0.000000         0.000000          0.000000   \n33      0.000000        0.000000         0.000000          0.000000   \n34      0.000000        0.000000         0.000000          0.000000   \n35      0.000000        0.000000         0.000000          0.000000   \n36      0.000000        0.000000         0.000000          0.000000   \n37      0.000000        0.000000         0.000000          0.000000   \n\n        ...        Toy / Game Store    Trail  Train Station  \\\n0       ...                0.000000  0.00000           0.00   \n1       ...                0.000000  0.00000           0.00   \n2       ...                0.000000  0.00000           0.00   \n3       ...                0.000000  0.00000           0.00   \n4       ...                0.000000  0.00000           0.00   \n5       ...                0.000000  0.00000           0.00   \n6       ...                0.000000  0.00000           0.00   \n7       ...                0.000000  0.00000           0.00   \n8       ...                0.000000  0.00000           0.00   \n9       ...                0.000000  0.00000           0.00   \n10      ...                0.000000  0.00000           0.00   \n11      ...                0.027778  0.00000           0.00   \n12      ...                0.000000  0.00000           0.00   \n13      ...                0.000000  0.00000           0.00   \n14      ...                0.000000  0.00000           0.01   \n15      ...                0.000000  0.00000           0.00   \n16      ...                0.000000  0.00000           0.01   \n17      ...                0.000000  0.25000           0.00   \n18      ...                0.000000  0.00000           0.00   \n19      ...                0.000000  0.00000           0.01   \n20      ...                0.000000  0.00000           0.00   \n21      ...                0.000000  0.00000           0.00   \n22      ...                0.000000  0.00000           0.00   \n23      ...                0.000000  0.00000           0.00   \n24      ...                0.000000  0.00000           0.00   \n25      ...                0.000000  0.00000           0.00   \n26      ...                0.000000  0.00000           0.00   \n27      ...                0.000000  0.25000           0.00   \n28      ...                0.000000  0.00000           0.00   \n29      ...                0.000000  0.00000           0.00   \n30      ...                0.010000  0.00000           0.00   \n31      ...                0.000000  0.00000           0.00   \n32      ...                0.000000  0.00000           0.00   \n33      ...                0.000000  0.00000           0.00   \n34      ...                0.000000  0.00000           0.00   \n35      ...                0.000000  0.00000           0.00   \n36      ...                0.000000  0.00000           0.00   \n37      ...                0.000000  0.02381           0.00   \n\n    Vegetarian / Vegan Restaurant  Video Game Store  Vietnamese Restaurant  \\\n0                        0.010000          0.000000               0.000000   \n1                        0.000000          0.000000               0.000000   \n2                        0.000000          0.000000               0.000000   \n3                        0.000000          0.000000               0.000000   \n4                        0.000000          0.000000               0.000000   \n5                        0.000000          0.000000               0.000000   \n6                        0.012346          0.000000               0.000000   \n7                        0.050000          0.000000               0.040000   \n8                        0.000000          0.000000               0.000000   \n9                        0.000000          0.011494               0.011494   \n10                       0.000000          0.000000               0.000000   \n11                       0.000000          0.000000               0.000000   \n12                       0.000000          0.000000               0.000000   \n13                       0.000000          0.000000               0.071429   \n14                       0.000000          0.000000               0.000000   \n15                       0.000000          0.000000               0.000000   \n16                       0.010000          0.000000               0.000000   \n17                       0.000000          0.000000               0.000000   \n18                       0.000000          0.029412               0.000000   \n19                       0.010000          0.000000               0.000000   \n20                       0.000000          0.000000               0.000000   \n21                       0.000000          0.000000               0.000000   \n22                       0.000000          0.000000               0.000000   \n23                       0.015625          0.000000               0.031250   \n24                       0.000000          0.000000               0.000000   \n25                       0.000000          0.000000               0.000000   \n26                       0.000000          0.000000               0.000000   \n27                       0.000000          0.000000               0.000000   \n28                       0.000000          0.000000               0.000000   \n29                       0.027778          0.000000               0.000000   \n30                       0.010000          0.010000               0.010000   \n31                       0.000000          0.000000               0.000000   \n32                       0.000000          0.000000               0.000000   \n33                       0.000000          0.000000               0.000000   \n34                       0.040000          0.000000               0.000000   \n35                       0.000000          0.000000               0.000000   \n36                       0.000000          0.000000               0.000000   \n37                       0.000000          0.000000               0.000000   \n\n    Wine Bar  Wine Shop  Wings Joint  Women's Store  \n0   0.010000   0.000000     0.000000           0.01  \n1   0.000000   0.000000     0.000000           0.00  \n2   0.000000   0.000000     0.000000           0.00  \n3   0.000000   0.000000     0.000000           0.00  \n4   0.000000   0.000000     0.000000           0.00  \n5   0.000000   0.000000     0.000000           0.00  \n6   0.012346   0.000000     0.000000           0.00  \n7   0.010000   0.000000     0.000000           0.01  \n8   0.000000   0.000000     0.000000           0.00  \n9   0.000000   0.000000     0.011494           0.00  \n10  0.010000   0.000000     0.000000           0.00  \n11  0.000000   0.000000     0.000000           0.00  \n12  0.000000   0.000000     0.000000           0.00  \n13  0.000000   0.000000     0.000000           0.00  \n14  0.010000   0.000000     0.000000           0.00  \n15  0.000000   0.047619     0.000000           0.00  \n16  0.010000   0.000000     0.000000           0.00  \n17  0.000000   0.000000     0.000000           0.00  \n18  0.000000   0.000000     0.000000           0.00  \n19  0.010000   0.000000     0.000000           0.00  \n20  0.000000   0.000000     0.000000           0.00  \n21  0.000000   0.000000     0.000000           0.00  \n22  0.000000   0.000000     0.000000           0.00  \n23  0.015625   0.000000     0.000000           0.00  \n24  0.000000   0.000000     0.000000           0.00  \n25  0.000000   0.000000     0.000000           0.00  \n26  0.000000   0.000000     0.000000           0.00  \n27  0.000000   0.000000     0.000000           0.00  \n28  0.000000   0.000000     0.000000           0.00  \n29  0.000000   0.000000     0.000000           0.00  \n30  0.010000   0.000000     0.000000           0.00  \n31  0.000000   0.000000     0.000000           0.01  \n32  0.000000   0.000000     0.000000           0.00  \n33  0.000000   0.000000     0.000000           0.00  \n34  0.000000   0.000000     0.000000           0.00  \n35  0.000000   0.000000     0.000000           0.00  \n36  0.000000   0.000000     0.000000           0.00  \n37  0.000000   0.000000     0.000000           0.00  \n\n[38 rows x 234 columns]"
          },
          "metadata": {}
        }
      ]
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "toronto_grouped.shape",
      "execution_count": 26,
      "outputs": [
        {
          "output_type": "execute_result",
          "execution_count": 26,
          "data": {
            "text/plain": "(38, 234)"
          },
          "metadata": {}
        }
      ]
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "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]",
      "execution_count": 27,
      "outputs": []
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "num_top_venues = 10\n\nindicators = ['st', 'nd', 'rd']\n\n# create columns according to number of top venues\ncolumns = ['Neighborhood']\nfor 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\nneighborhoods_venues_sorted = pd.DataFrame(columns=columns)\nneighborhoods_venues_sorted['Neighborhood'] = toronto_grouped['Neighborhood']\n\nfor 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\nneighborhoods_venues_sorted",
      "execution_count": 28,
      "outputs": [
        {
          "output_type": "execute_result",
          "execution_count": 28,
          "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>American Restaurant</td>\n      <td>Thai Restaurant</td>\n      <td>Hotel</td>\n      <td>Bar</td>\n      <td>Clothing Store</td>\n      <td>Bakery</td>\n      <td>Asian 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>Restaurant</td>\n      <td>Farmers Market</td>\n      <td>Café</td>\n      <td>Steakhouse</td>\n      <td>Beer Bar</td>\n      <td>Italian Restaurant</td>\n      <td>Seafood Restaurant</td>\n      <td>Pub</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>Brockton, Exhibition Place, Parkdale Village</td>\n      <td>Café</td>\n      <td>Performing Arts Venue</td>\n      <td>Breakfast Spot</td>\n      <td>Coffee Shop</td>\n      <td>Climbing Gym</td>\n      <td>Burrito Place</td>\n      <td>Caribbean Restaurant</td>\n      <td>Italian Restaurant</td>\n      <td>Stadium</td>\n      <td>Bar</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>Burrito Place</td>\n      <td>Brewery</td>\n      <td>Skate Park</td>\n      <td>Smoke Shop</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>CN Tower, Bathurst Quay, Island airport, Harbo...</td>\n      <td>Airport Lounge</td>\n      <td>Airport Service</td>\n      <td>Airport Terminal</td>\n      <td>Boat or Ferry</td>\n      <td>Airport</td>\n      <td>Airport Food Court</td>\n      <td>Airport Gate</td>\n      <td>Harbor / Marina</td>\n      <td>Sculpture Garden</td>\n      <td>Women's Store</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>Cabbagetown, St. James Town</td>\n      <td>Coffee Shop</td>\n      <td>Restaurant</td>\n      <td>Pet Store</td>\n      <td>Bakery</td>\n      <td>Pub</td>\n      <td>Café</td>\n      <td>Pizza Place</td>\n      <td>Park</td>\n      <td>Italian Restaurant</td>\n      <td>Japanese Restaurant</td>\n    </tr>\n    <tr>\n      <th>6</th>\n      <td>Central Bay Street</td>\n      <td>Coffee Shop</td>\n      <td>Café</td>\n      <td>Italian Restaurant</td>\n      <td>Bar</td>\n      <td>Burger Joint</td>\n      <td>Bubble Tea Shop</td>\n      <td>Thai Restaurant</td>\n      <td>Sandwich Place</td>\n      <td>Chinese Restaurant</td>\n      <td>Spa</td>\n    </tr>\n    <tr>\n      <th>7</th>\n      <td>Chinatown, Grange Park, Kensington Market</td>\n      <td>Café</td>\n      <td>Bar</td>\n      <td>Vegetarian / Vegan Restaurant</td>\n      <td>Dumpling Restaurant</td>\n      <td>Vietnamese Restaurant</td>\n      <td>Bakery</td>\n      <td>Coffee Shop</td>\n      <td>Chinese Restaurant</td>\n      <td>Mexican Restaurant</td>\n      <td>Gaming Cafe</td>\n    </tr>\n    <tr>\n      <th>8</th>\n      <td>Christie</td>\n      <td>Grocery Store</td>\n      <td>Café</td>\n      <td>Park</td>\n      <td>Nightclub</td>\n      <td>Baby Store</td>\n      <td>Diner</td>\n      <td>Athletics &amp; Sports</td>\n      <td>Italian Restaurant</td>\n      <td>Restaurant</td>\n      <td>Convenience Store</td>\n    </tr>\n    <tr>\n      <th>9</th>\n      <td>Church and Wellesley</td>\n      <td>Japanese Restaurant</td>\n      <td>Sushi Restaurant</td>\n      <td>Coffee Shop</td>\n      <td>Gay Bar</td>\n      <td>Restaurant</td>\n      <td>Burger Joint</td>\n      <td>Gastropub</td>\n      <td>Fast Food Restaurant</td>\n      <td>Mediterranean Restaurant</td>\n      <td>Café</td>\n    </tr>\n    <tr>\n      <th>10</th>\n      <td>Commerce Court, Victoria Hotel</td>\n      <td>Coffee Shop</td>\n      <td>Café</td>\n      <td>Hotel</td>\n      <td>Restaurant</td>\n      <td>American Restaurant</td>\n      <td>Gym</td>\n      <td>Bakery</td>\n      <td>Steakhouse</td>\n      <td>Italian Restaurant</td>\n      <td>Deli / Bodega</td>\n    </tr>\n    <tr>\n      <th>11</th>\n      <td>Davisville</td>\n      <td>Sandwich Place</td>\n      <td>Dessert Shop</td>\n      <td>Sushi Restaurant</td>\n      <td>Pizza Place</td>\n      <td>Restaurant</td>\n      <td>Italian Restaurant</td>\n      <td>Café</td>\n      <td>Seafood Restaurant</td>\n      <td>Coffee Shop</td>\n      <td>Greek Restaurant</td>\n    </tr>\n    <tr>\n      <th>12</th>\n      <td>Davisville North</td>\n      <td>Gym / Fitness Center</td>\n      <td>Gym</td>\n      <td>Park</td>\n      <td>Sandwich Place</td>\n      <td>Burger Joint</td>\n      <td>Breakfast Spot</td>\n      <td>Food &amp; Drink Shop</td>\n      <td>Hotel</td>\n      <td>Dumpling Restaurant</td>\n      <td>Doner Restaurant</td>\n    </tr>\n    <tr>\n      <th>13</th>\n      <td>Deer Park, Forest Hill SE, Rathnelly, South Hi...</td>\n      <td>Coffee Shop</td>\n      <td>Pub</td>\n      <td>Fried Chicken Joint</td>\n      <td>Pizza Place</td>\n      <td>Sushi Restaurant</td>\n      <td>Bagel Shop</td>\n      <td>Sports Bar</td>\n      <td>American Restaurant</td>\n      <td>Convenience Store</td>\n      <td>Vietnamese Restaurant</td>\n    </tr>\n    <tr>\n      <th>14</th>\n      <td>Design Exchange, Toronto Dominion Centre</td>\n      <td>Coffee Shop</td>\n      <td>Café</td>\n      <td>Hotel</td>\n      <td>American Restaurant</td>\n      <td>Restaurant</td>\n      <td>Gastropub</td>\n      <td>Deli / Bodega</td>\n      <td>Italian Restaurant</td>\n      <td>Bar</td>\n      <td>Seafood Restaurant</td>\n    </tr>\n    <tr>\n      <th>15</th>\n      <td>Dovercourt Village, Dufferin</td>\n      <td>Supermarket</td>\n      <td>Bakery</td>\n      <td>Discount Store</td>\n      <td>Pharmacy</td>\n      <td>Liquor Store</td>\n      <td>Music Venue</td>\n      <td>Middle Eastern Restaurant</td>\n      <td>Bank</td>\n      <td>Bar</td>\n      <td>Pool</td>\n    </tr>\n    <tr>\n      <th>16</th>\n      <td>First Canadian Place, Underground city</td>\n      <td>Coffee Shop</td>\n      <td>Café</td>\n      <td>Hotel</td>\n      <td>Restaurant</td>\n      <td>American Restaurant</td>\n      <td>Bar</td>\n      <td>Bakery</td>\n      <td>Gastropub</td>\n      <td>Asian Restaurant</td>\n      <td>Steakhouse</td>\n    </tr>\n    <tr>\n      <th>17</th>\n      <td>Forest Hill North, Forest Hill West</td>\n      <td>Mexican Restaurant</td>\n      <td>Trail</td>\n      <td>Jewelry Store</td>\n      <td>Sushi Restaurant</td>\n      <td>Women's Store</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    <tr>\n      <th>18</th>\n      <td>Harbord, University of Toronto</td>\n      <td>Café</td>\n      <td>Bar</td>\n      <td>Japanese Restaurant</td>\n      <td>Bakery</td>\n      <td>Restaurant</td>\n      <td>Coffee Shop</td>\n      <td>Bookstore</td>\n      <td>Nightclub</td>\n      <td>French Restaurant</td>\n      <td>Italian Restaurant</td>\n    </tr>\n    <tr>\n      <th>19</th>\n      <td>Harbourfront East, Toronto Islands, Union Station</td>\n      <td>Coffee Shop</td>\n      <td>Hotel</td>\n      <td>Aquarium</td>\n      <td>Café</td>\n      <td>Pizza Place</td>\n      <td>Scenic Lookout</td>\n      <td>Restaurant</td>\n      <td>Bakery</td>\n      <td>Brewery</td>\n      <td>Italian Restaurant</td>\n    </tr>\n    <tr>\n      <th>20</th>\n      <td>Harbourfront, Regent Park</td>\n      <td>Coffee Shop</td>\n      <td>Park</td>\n      <td>Bakery</td>\n      <td>Café</td>\n      <td>Pub</td>\n      <td>Mexican Restaurant</td>\n      <td>Restaurant</td>\n      <td>Breakfast Spot</td>\n      <td>Theater</td>\n      <td>Bank</td>\n    </tr>\n    <tr>\n      <th>21</th>\n      <td>High Park, The Junction South</td>\n      <td>Mexican Restaurant</td>\n      <td>Café</td>\n      <td>Grocery Store</td>\n      <td>Furniture / Home Store</td>\n      <td>Bookstore</td>\n      <td>Fast Food Restaurant</td>\n      <td>Sandwich Place</td>\n      <td>Flea Market</td>\n      <td>Speakeasy</td>\n      <td>Bar</td>\n    </tr>\n    <tr>\n      <th>22</th>\n      <td>Lawrence Park</td>\n      <td>Gym / Fitness Center</td>\n      <td>Park</td>\n      <td>Swim School</td>\n      <td>Bus Line</td>\n      <td>Convenience Store</td>\n      <td>Cosmetics Shop</td>\n      <td>Farmers Market</td>\n      <td>Falafel Restaurant</td>\n      <td>Event Space</td>\n      <td>Ethiopian Restaurant</td>\n    </tr>\n    <tr>\n      <th>23</th>\n      <td>Little Portugal, Trinity</td>\n      <td>Bar</td>\n      <td>Men's Store</td>\n      <td>Coffee Shop</td>\n      <td>Restaurant</td>\n      <td>Asian Restaurant</td>\n      <td>Café</td>\n      <td>Pizza Place</td>\n      <td>Cocktail Bar</td>\n      <td>Bakery</td>\n      <td>Vietnamese Restaurant</td>\n    </tr>\n    <tr>\n      <th>24</th>\n      <td>Moore Park, Summerhill East</td>\n      <td>Playground</td>\n      <td>Women's Store</td>\n      <td>Dim Sum Restaurant</td>\n      <td>Farmers Market</td>\n      <td>Falafel Restaurant</td>\n      <td>Event Space</td>\n      <td>Ethiopian Restaurant</td>\n      <td>Electronics Store</td>\n      <td>Eastern European Restaurant</td>\n      <td>Dumpling Restaurant</td>\n    </tr>\n    <tr>\n      <th>25</th>\n      <td>North Toronto West</td>\n      <td>Coffee Shop</td>\n      <td>Clothing Store</td>\n      <td>Sporting Goods Shop</td>\n      <td>Bagel Shop</td>\n      <td>Fast Food Restaurant</td>\n      <td>Metro Station</td>\n      <td>Mexican Restaurant</td>\n      <td>Diner</td>\n      <td>Dessert Shop</td>\n      <td>Cosmetics Shop</td>\n    </tr>\n    <tr>\n      <th>26</th>\n      <td>Parkdale, Roncesvalles</td>\n      <td>Breakfast Spot</td>\n      <td>Gift Shop</td>\n      <td>Dog Run</td>\n      <td>Dessert Shop</td>\n      <td>Bar</td>\n      <td>Bank</td>\n      <td>Burger Joint</td>\n      <td>Eastern European Restaurant</td>\n      <td>Restaurant</td>\n      <td>Italian Restaurant</td>\n    </tr>\n    <tr>\n      <th>27</th>\n      <td>Rosedale</td>\n      <td>Park</td>\n      <td>Playground</td>\n      <td>Trail</td>\n      <td>Women's Store</td>\n      <td>Dim Sum Restaurant</td>\n      <td>Falafel Restaurant</td>\n      <td>Event Space</td>\n      <td>Ethiopian Restaurant</td>\n      <td>Electronics Store</td>\n      <td>Eastern European Restaurant</td>\n    </tr>\n    <tr>\n      <th>28</th>\n      <td>Roselawn</td>\n      <td>Garden</td>\n      <td>Women's Store</td>\n      <td>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    <tr>\n      <th>29</th>\n      <td>Runnymede, Swansea</td>\n      <td>Pizza Place</td>\n      <td>Café</td>\n      <td>Coffee Shop</td>\n      <td>Italian Restaurant</td>\n      <td>Sushi Restaurant</td>\n      <td>Dessert Shop</td>\n      <td>Fish Market</td>\n      <td>Food</td>\n      <td>Diner</td>\n      <td>Bar</td>\n    </tr>\n    <tr>\n      <th>30</th>\n      <td>Ryerson, Garden District</td>\n      <td>Coffee Shop</td>\n      <td>Clothing Store</td>\n      <td>Café</td>\n      <td>Cosmetics Shop</td>\n      <td>Middle Eastern Restaurant</td>\n      <td>Restaurant</td>\n      <td>Tea Room</td>\n      <td>Italian Restaurant</td>\n      <td>Bar</td>\n      <td>Japanese Restaurant</td>\n    </tr>\n    <tr>\n      <th>31</th>\n      <td>St. James Town</td>\n      <td>Coffee Shop</td>\n      <td>Restaurant</td>\n      <td>Hotel</td>\n      <td>Café</td>\n      <td>Clothing Store</td>\n      <td>Italian Restaurant</td>\n      <td>Gastropub</td>\n      <td>Bakery</td>\n      <td>Cosmetics Shop</td>\n      <td>Park</td>\n    </tr>\n    <tr>\n      <th>32</th>\n      <td>Stn A PO Boxes 25 The Esplanade</td>\n      <td>Coffee Shop</td>\n      <td>Restaurant</td>\n      <td>Café</td>\n      <td>Pub</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>Art Gallery</td>\n    </tr>\n    <tr>\n      <th>33</th>\n      <td>Studio District</td>\n      <td>Café</td>\n      <td>Coffee Shop</td>\n      <td>Italian Restaurant</td>\n      <td>Bakery</td>\n      <td>American Restaurant</td>\n      <td>Food</td>\n      <td>Fish Market</td>\n      <td>Juice Bar</td>\n      <td>New American Restaurant</td>\n      <td>Latin American Restaurant</td>\n    </tr>\n    <tr>\n      <th>34</th>\n      <td>The Annex, North Midtown, Yorkville</td>\n      <td>Sandwich Place</td>\n      <td>Café</td>\n      <td>Coffee Shop</td>\n      <td>Pizza Place</td>\n      <td>History Museum</td>\n      <td>Indian Restaurant</td>\n      <td>Burger Joint</td>\n      <td>BBQ Joint</td>\n      <td>American Restaurant</td>\n      <td>Martial Arts Dojo</td>\n    </tr>\n    <tr>\n      <th>35</th>\n      <td>The Beaches</td>\n      <td>Coffee Shop</td>\n      <td>Other Great Outdoors</td>\n      <td>Pub</td>\n      <td>Women's Store</td>\n      <td>Dim Sum Restaurant</td>\n      <td>Falafel Restaurant</td>\n      <td>Event Space</td>\n      <td>Ethiopian Restaurant</td>\n      <td>Electronics Store</td>\n      <td>Eastern European Restaurant</td>\n    </tr>\n    <tr>\n      <th>36</th>\n      <td>The Beaches West, India Bazaar</td>\n      <td>Sandwich Place</td>\n      <td>Coffee Shop</td>\n      <td>Ice Cream Shop</td>\n      <td>Brewery</td>\n      <td>Liquor Store</td>\n      <td>Fast Food Restaurant</td>\n      <td>Burger Joint</td>\n      <td>Fish &amp; Chips Shop</td>\n      <td>Burrito Place</td>\n      <td>Steakhouse</td>\n    </tr>\n    <tr>\n      <th>37</th>\n      <td>The Danforth West, Riverdale</td>\n      <td>Greek Restaurant</td>\n      <td>Coffee Shop</td>\n      <td>Ice Cream Shop</td>\n      <td>Bookstore</td>\n      <td>Italian Restaurant</td>\n      <td>Cosmetics Shop</td>\n      <td>Brewery</td>\n      <td>Bubble Tea Shop</td>\n      <td>Restaurant</td>\n      <td>Pub</td>\n    </tr>\n  </tbody>\n</table>\n</div>",
            "text/plain": "                                         Neighborhood 1st Most Common Venue  \\\n0                            Adelaide, King, Richmond           Coffee Shop   \n1                                         Berczy Park           Coffee Shop   \n2        Brockton, Exhibition Place, Parkdale Village                  Café   \n3   Business Reply Mail Processing Centre 969 Eastern    Light Rail Station   \n4   CN Tower, Bathurst Quay, Island airport, Harbo...        Airport Lounge   \n5                         Cabbagetown, St. James Town           Coffee Shop   \n6                                  Central Bay Street           Coffee Shop   \n7           Chinatown, Grange Park, Kensington Market                  Café   \n8                                            Christie         Grocery Store   \n9                                Church and Wellesley   Japanese Restaurant   \n10                     Commerce Court, Victoria Hotel           Coffee Shop   \n11                                         Davisville        Sandwich Place   \n12                                   Davisville North  Gym / Fitness Center   \n13  Deer Park, Forest Hill SE, Rathnelly, South Hi...           Coffee Shop   \n14           Design Exchange, Toronto Dominion Centre           Coffee Shop   \n15                       Dovercourt Village, Dufferin           Supermarket   \n16             First Canadian Place, Underground city           Coffee Shop   \n17                Forest Hill North, Forest Hill West    Mexican Restaurant   \n18                     Harbord, University of Toronto                  Café   \n19  Harbourfront East, Toronto Islands, Union Station           Coffee Shop   \n20                          Harbourfront, Regent Park           Coffee Shop   \n21                      High Park, The Junction South    Mexican Restaurant   \n22                                      Lawrence Park  Gym / Fitness Center   \n23                           Little Portugal, Trinity                   Bar   \n24                        Moore Park, Summerhill East            Playground   \n25                                 North Toronto West           Coffee Shop   \n26                             Parkdale, Roncesvalles        Breakfast Spot   \n27                                           Rosedale                  Park   \n28                                           Roselawn                Garden   \n29                                 Runnymede, Swansea           Pizza Place   \n30                           Ryerson, Garden District           Coffee Shop   \n31                                     St. James Town           Coffee Shop   \n32                    Stn A PO Boxes 25 The Esplanade           Coffee Shop   \n33                                    Studio District                  Café   \n34                The Annex, North Midtown, Yorkville        Sandwich Place   \n35                                        The Beaches           Coffee Shop   \n36                     The Beaches West, India Bazaar        Sandwich Place   \n37                       The Danforth West, Riverdale      Greek Restaurant   \n\n    2nd Most Common Venue          3rd Most Common Venue  \\\n0                    Café                     Steakhouse   \n1            Cocktail Bar                     Restaurant   \n2   Performing Arts Venue                 Breakfast Spot   \n3          Farmers Market                  Auto Workshop   \n4         Airport Service               Airport Terminal   \n5              Restaurant                      Pet Store   \n6                    Café             Italian Restaurant   \n7                     Bar  Vegetarian / Vegan Restaurant   \n8                    Café                           Park   \n9        Sushi Restaurant                    Coffee Shop   \n10                   Café                          Hotel   \n11           Dessert Shop               Sushi Restaurant   \n12                    Gym                           Park   \n13                    Pub            Fried Chicken Joint   \n14                   Café                          Hotel   \n15                 Bakery                 Discount Store   \n16                   Café                          Hotel   \n17                  Trail                  Jewelry Store   \n18                    Bar            Japanese Restaurant   \n19                  Hotel                       Aquarium   \n20                   Park                         Bakery   \n21                   Café                  Grocery Store   \n22                   Park                    Swim School   \n23            Men's Store                    Coffee Shop   \n24          Women's Store             Dim Sum Restaurant   \n25         Clothing Store            Sporting Goods Shop   \n26              Gift Shop                        Dog Run   \n27             Playground                          Trail   \n28          Women's Store                 Farmers Market   \n29                   Café                    Coffee Shop   \n30         Clothing Store                           Café   \n31             Restaurant                          Hotel   \n32             Restaurant                           Café   \n33            Coffee Shop             Italian Restaurant   \n34                   Café                    Coffee Shop   \n35   Other Great Outdoors                            Pub   \n36            Coffee Shop                 Ice Cream Shop   \n37            Coffee Shop                 Ice Cream Shop   \n\n     4th Most Common Venue      5th Most Common Venue 6th Most Common Venue  \\\n0      American Restaurant            Thai Restaurant                 Hotel   \n1           Farmers Market                       Café            Steakhouse   \n2              Coffee Shop               Climbing Gym         Burrito Place   \n3               Comic Shop                Pizza Place            Restaurant   \n4            Boat or Ferry                    Airport    Airport Food Court   \n5                   Bakery                        Pub                  Café   \n6                      Bar               Burger Joint       Bubble Tea Shop   \n7      Dumpling Restaurant      Vietnamese Restaurant                Bakery   \n8                Nightclub                 Baby Store                 Diner   \n9                  Gay Bar                 Restaurant          Burger Joint   \n10              Restaurant        American Restaurant                   Gym   \n11             Pizza Place                 Restaurant    Italian Restaurant   \n12          Sandwich Place               Burger Joint        Breakfast Spot   \n13             Pizza Place           Sushi Restaurant            Bagel Shop   \n14     American Restaurant                 Restaurant             Gastropub   \n15                Pharmacy               Liquor Store           Music Venue   \n16              Restaurant        American Restaurant                   Bar   \n17        Sushi Restaurant              Women's Store                 Diner   \n18                  Bakery                 Restaurant           Coffee Shop   \n19                    Café                Pizza Place        Scenic Lookout   \n20                    Café                        Pub    Mexican Restaurant   \n21  Furniture / Home Store                  Bookstore  Fast Food Restaurant   \n22                Bus Line          Convenience Store        Cosmetics Shop   \n23              Restaurant           Asian Restaurant                  Café   \n24          Farmers Market         Falafel Restaurant           Event Space   \n25              Bagel Shop       Fast Food Restaurant         Metro Station   \n26            Dessert Shop                        Bar                  Bank   \n27           Women's Store         Dim Sum Restaurant    Falafel Restaurant   \n28      Falafel Restaurant                Event Space  Ethiopian Restaurant   \n29      Italian Restaurant           Sushi Restaurant          Dessert Shop   \n30          Cosmetics Shop  Middle Eastern Restaurant            Restaurant   \n31                    Café             Clothing Store    Italian Restaurant   \n32                     Pub         Seafood Restaurant              Beer Bar   \n33                  Bakery        American Restaurant                  Food   \n34             Pizza Place             History Museum     Indian Restaurant   \n35           Women's Store         Dim Sum Restaurant    Falafel Restaurant   \n36                 Brewery               Liquor Store  Fast Food Restaurant   \n37               Bookstore         Italian Restaurant        Cosmetics Shop   \n\n        7th Most Common Venue        8th Most Common Venue  \\\n0                         Bar               Clothing Store   \n1                    Beer Bar           Italian Restaurant   \n2        Caribbean Restaurant           Italian Restaurant   \n3               Burrito Place                      Brewery   \n4                Airport Gate              Harbor / Marina   \n5                 Pizza Place                         Park   \n6             Thai Restaurant               Sandwich Place   \n7                 Coffee Shop           Chinese Restaurant   \n8          Athletics & Sports           Italian Restaurant   \n9                   Gastropub         Fast Food Restaurant   \n10                     Bakery                   Steakhouse   \n11                       Café           Seafood Restaurant   \n12          Food & Drink Shop                        Hotel   \n13                 Sports Bar          American Restaurant   \n14              Deli / Bodega           Italian Restaurant   \n15  Middle Eastern Restaurant                         Bank   \n16                     Bakery                    Gastropub   \n17         Falafel Restaurant                  Event Space   \n18                  Bookstore                    Nightclub   \n19                 Restaurant                       Bakery   \n20                 Restaurant               Breakfast Spot   \n21             Sandwich Place                  Flea Market   \n22             Farmers Market           Falafel Restaurant   \n23                Pizza Place                 Cocktail Bar   \n24       Ethiopian Restaurant            Electronics Store   \n25         Mexican Restaurant                        Diner   \n26               Burger Joint  Eastern European Restaurant   \n27                Event Space         Ethiopian Restaurant   \n28          Electronics Store  Eastern European Restaurant   \n29                Fish Market                         Food   \n30                   Tea Room           Italian Restaurant   \n31                  Gastropub                       Bakery   \n32               Cocktail Bar                        Hotel   \n33                Fish Market                    Juice Bar   \n34               Burger Joint                    BBQ Joint   \n35                Event Space         Ethiopian Restaurant   \n36               Burger Joint            Fish & Chips Shop   \n37                    Brewery              Bubble Tea Shop   \n\n          9th Most Common Venue       10th Most Common Venue  \n0                        Bakery             Asian Restaurant  \n1            Seafood Restaurant                          Pub  \n2                       Stadium                          Bar  \n3                    Skate Park                   Smoke Shop  \n4              Sculpture Garden                Women's Store  \n5            Italian Restaurant          Japanese Restaurant  \n6            Chinese Restaurant                          Spa  \n7            Mexican Restaurant                  Gaming Cafe  \n8                    Restaurant            Convenience Store  \n9      Mediterranean Restaurant                         Café  \n10           Italian Restaurant                Deli / Bodega  \n11                  Coffee Shop             Greek Restaurant  \n12          Dumpling Restaurant             Doner Restaurant  \n13            Convenience Store        Vietnamese Restaurant  \n14                          Bar           Seafood Restaurant  \n15                          Bar                         Pool  \n16             Asian Restaurant                   Steakhouse  \n17         Ethiopian Restaurant            Electronics Store  \n18            French Restaurant           Italian Restaurant  \n19                      Brewery           Italian Restaurant  \n20                      Theater                         Bank  \n21                    Speakeasy                          Bar  \n22                  Event Space         Ethiopian Restaurant  \n23                       Bakery        Vietnamese Restaurant  \n24  Eastern European Restaurant          Dumpling Restaurant  \n25                 Dessert Shop               Cosmetics Shop  \n26                   Restaurant           Italian Restaurant  \n27            Electronics Store  Eastern European Restaurant  \n28          Dumpling Restaurant                   Donut Shop  \n29                        Diner                          Bar  \n30                          Bar          Japanese Restaurant  \n31               Cosmetics Shop                         Park  \n32           Italian Restaurant                  Art Gallery  \n33      New American Restaurant    Latin American Restaurant  \n34          American Restaurant            Martial Arts Dojo  \n35            Electronics Store  Eastern European Restaurant  \n36                Burrito Place                   Steakhouse  \n37                   Restaurant                          Pub  "
          },
          "metadata": {}
        }
      ]
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "## Clustering Neighborhoods"
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "#using k-means square, we can classify neighborhoods\n\n# set number of clusters\nkclusters = 5\n\ntoronto_grouped_clustering = toronto_grouped.drop('Neighborhood', 1)\n\n# run k-means clustering\nkmeans = KMeans(n_clusters=kclusters, random_state=0).fit(toronto_grouped_clustering)\n\n# check cluster labels generated for each row in the dataframe\nkmeans.labels_[0:10]",
      "execution_count": 29,
      "outputs": [
        {
          "output_type": "execute_result",
          "execution_count": 29,
          "data": {
            "text/plain": "array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0], dtype=int32)"
          },
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        }
      ]
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "toronto_merged = df_toronto\n\n# add clustering labels\ntoronto_merged['Cluster Labels'] = kmeans.labels_\n\n# merge toronto_grouped with toronto_data to add latitude/longitude for each neighborhood\ntoronto_merged = toronto_merged.join(neighborhoods_venues_sorted.set_index('Neighborhood'), on='Neighborhood')\n\ntoronto_merged.head()",
      "execution_count": 30,
      "outputs": [
        {
          "output_type": "stream",
          "text": "/home/nbuser/anaconda3_501/lib/python3.6/site-packages/ipykernel/__main__.py:4: SettingWithCopyWarning: \nA value is trying to be set on a copy of a slice from a DataFrame.\nTry using .loc[row_indexer,col_indexer] = value instead\n\nSee the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
          "name": "stderr"
        },
        {
          "output_type": "execute_result",
          "execution_count": 30,
          "data": {
            "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>PostalCode</th>\n      <th>Borough</th>\n      <th>Neighborhood</th>\n      <th>Latitude</th>\n      <th>Longitude</th>\n      <th>Cluster Labels</th>\n      <th>1st Most Common Venue</th>\n      <th>2nd Most Common Venue</th>\n      <th>3rd Most Common Venue</th>\n      <th>4th Most Common Venue</th>\n      <th>5th Most Common Venue</th>\n      <th>6th Most Common Venue</th>\n      <th>7th Most Common Venue</th>\n      <th>8th Most Common Venue</th>\n      <th>9th Most Common Venue</th>\n      <th>10th Most Common Venue</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>M4E</td>\n      <td>East Toronto</td>\n      <td>The Beaches</td>\n      <td>43.676357</td>\n      <td>-79.293031</td>\n      <td>0</td>\n      <td>Coffee Shop</td>\n      <td>Other Great Outdoors</td>\n      <td>Pub</td>\n      <td>Women's Store</td>\n      <td>Dim Sum Restaurant</td>\n      <td>Falafel Restaurant</td>\n      <td>Event Space</td>\n      <td>Ethiopian Restaurant</td>\n      <td>Electronics Store</td>\n      <td>Eastern European Restaurant</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>M4K</td>\n      <td>East Toronto</td>\n      <td>The Danforth West, Riverdale</td>\n      <td>43.679557</td>\n      <td>-79.352188</td>\n      <td>0</td>\n      <td>Greek Restaurant</td>\n      <td>Coffee Shop</td>\n      <td>Ice Cream Shop</td>\n      <td>Bookstore</td>\n      <td>Italian Restaurant</td>\n      <td>Cosmetics Shop</td>\n      <td>Brewery</td>\n      <td>Bubble Tea Shop</td>\n      <td>Restaurant</td>\n      <td>Pub</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      <td>0</td>\n      <td>Sandwich Place</td>\n      <td>Coffee Shop</td>\n      <td>Ice Cream Shop</td>\n      <td>Brewery</td>\n      <td>Liquor Store</td>\n      <td>Fast Food Restaurant</td>\n      <td>Burger Joint</td>\n      <td>Fish &amp; Chips Shop</td>\n      <td>Burrito Place</td>\n      <td>Steakhouse</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>M4M</td>\n      <td>East Toronto</td>\n      <td>Studio District</td>\n      <td>43.659526</td>\n      <td>-79.340923</td>\n      <td>0</td>\n      <td>Café</td>\n      <td>Coffee Shop</td>\n      <td>Italian Restaurant</td>\n      <td>Bakery</td>\n      <td>American Restaurant</td>\n      <td>Food</td>\n      <td>Fish Market</td>\n      <td>Juice Bar</td>\n      <td>New American Restaurant</td>\n      <td>Latin American Restaurant</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>M4N</td>\n      <td>Central Toronto</td>\n      <td>Lawrence Park</td>\n      <td>43.728020</td>\n      <td>-79.388790</td>\n      <td>0</td>\n      <td>Gym / Fitness Center</td>\n      <td>Park</td>\n      <td>Swim School</td>\n      <td>Bus Line</td>\n      <td>Convenience Store</td>\n      <td>Cosmetics Shop</td>\n      <td>Farmers Market</td>\n      <td>Falafel Restaurant</td>\n      <td>Event Space</td>\n      <td>Ethiopian Restaurant</td>\n    </tr>\n  </tbody>\n</table>\n</div>",
            "text/plain": "  PostalCode          Borough                    Neighborhood   Latitude  \\\n0        M4E     East Toronto                     The Beaches  43.676357   \n1        M4K     East Toronto    The Danforth West, Riverdale  43.679557   \n2        M4L     East Toronto  The Beaches West, India Bazaar  43.668999   \n3        M4M     East Toronto                 Studio District  43.659526   \n4        M4N  Central Toronto                   Lawrence Park  43.728020   \n\n   Longitude  Cluster Labels 1st Most Common Venue 2nd Most Common Venue  \\\n0 -79.293031               0           Coffee Shop  Other Great Outdoors   \n1 -79.352188               0      Greek Restaurant           Coffee Shop   \n2 -79.315572               0        Sandwich Place           Coffee Shop   \n3 -79.340923               0                  Café           Coffee Shop   \n4 -79.388790               0  Gym / Fitness Center                  Park   \n\n  3rd Most Common Venue 4th Most Common Venue 5th Most Common Venue  \\\n0                   Pub         Women's Store    Dim Sum Restaurant   \n1        Ice Cream Shop             Bookstore    Italian Restaurant   \n2        Ice Cream Shop               Brewery          Liquor Store   \n3    Italian Restaurant                Bakery   American Restaurant   \n4           Swim School              Bus Line     Convenience Store   \n\n  6th Most Common Venue 7th Most Common Venue 8th Most Common Venue  \\\n0    Falafel Restaurant           Event Space  Ethiopian Restaurant   \n1        Cosmetics Shop               Brewery       Bubble Tea Shop   \n2  Fast Food Restaurant          Burger Joint     Fish & Chips Shop   \n3                  Food           Fish Market             Juice Bar   \n4        Cosmetics Shop        Farmers Market    Falafel Restaurant   \n\n     9th Most Common Venue       10th Most Common Venue  \n0        Electronics Store  Eastern European Restaurant  \n1               Restaurant                          Pub  \n2            Burrito Place                   Steakhouse  \n3  New American Restaurant    Latin American Restaurant  \n4              Event Space         Ethiopian Restaurant  "
          },
          "metadata": {}
        }
      ]
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "#Visualize the resulting clusters\n\n# create map\nmap_clusters = folium.Map(location=[lat_toronto, lon_toronto], zoom_start=12)\n\n# set color scheme for the clusters\ncluster_color = {}\nfor cluster in range(kclusters):\n    cluster_color[cluster]= '#%02X%02X%02X' % tuple(np.random.choice(range(256), size=3)) #Random color\n\n# add markers to the map\nmarkers_colors = []\nfor lat, lon, poi, cluster in zip(toronto_merged['Latitude'], \n                                  toronto_merged['Longitude'], \n                                  toronto_merged['Neighborhood'], \n                                  toronto_merged['Cluster Labels']):\n    label_text = 'Cluster ' + str(cluster) + ' / ' + str(poi)\n    label = folium.Popup(label_text)\n    folium.CircleMarker(\n        [lat, lon],\n        radius=6,\n        popup=label,\n        color=cluster_color[cluster],\n        fill_color=cluster_color[cluster],\n        fill_opacity=0.7).add_to(map_clusters)\n       \nmap_clusters",
      "execution_count": 33,
      "outputs": [
        {
          "output_type": "execute_result",
          "execution_count": 33,
          "data": {
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            var circle_marker_45ee71c55cfa4854ae508e56c3f11af6 = L.circle(
                [43.6895743,-79.38315990000002],
                6,
                {
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                    fillColor: '#95050D',
                    fillOpacity: 0.7
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                )
                .addTo(map_88281adf7e3e492b95d37d9c1b962cb7);
            
        
            
            var popup_a96fb439fbd4411aa4261317ef5c61a8 = L.popup({maxWidth: '300'});

            
                var html_09dac994b17945fc8a23e0e1e3fa40eb = $('         <div id="html_09dac994b17945fc8a23e0e1e3fa40eb"                 style="width: 100.0%; height: 100.0%;">                 Cluster 0 / Moore Park, Summerhill East</div>                 ')[0];
                popup_a96fb439fbd4411aa4261317ef5c61a8.setContent(html_09dac994b17945fc8a23e0e1e3fa40eb);
            

            circle_marker_45ee71c55cfa4854ae508e56c3f11af6.bindPopup(popup_a96fb439fbd4411aa4261317ef5c61a8);

            
        
        
            

            var circle_marker_d4172507788546e09ae6e05fa2e6b3c8 = L.circle(
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                .addTo(map_88281adf7e3e492b95d37d9c1b962cb7);
            
        
            
            var popup_4d4fe653965d4c8a980c83085ec8b2f8 = L.popup({maxWidth: '300'});

            
                var html_863ec93f26b04837bdbaf049cfae484b = $('         <div id="html_863ec93f26b04837bdbaf049cfae484b"                 style="width: 100.0%; height: 100.0%;">                 Cluster 0 / Deer Park, Forest Hill SE, Rathnelly, South Hill, Summerhill West</div>                 ')[0];
                popup_4d4fe653965d4c8a980c83085ec8b2f8.setContent(html_863ec93f26b04837bdbaf049cfae484b);
            

            circle_marker_d4172507788546e09ae6e05fa2e6b3c8.bindPopup(popup_4d4fe653965d4c8a980c83085ec8b2f8);

            
        
        
            

            var circle_marker_dfd4c96f9025432d8176e7a60a094e6a = L.circle(
                [43.6795626,-79.37752940000001],
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                    fillColor: '#95050D',
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                )
                .addTo(map_88281adf7e3e492b95d37d9c1b962cb7);
            
        
            
            var popup_ff42c813bbbb42fabb25a0a2402e5394 = L.popup({maxWidth: '300'});

            
                var html_a2fcca1b3aca4128a9f583697f82a2ee = $('         <div id="html_a2fcca1b3aca4128a9f583697f82a2ee"                 style="width: 100.0%; height: 100.0%;">                 Cluster 0 / Rosedale</div>                 ')[0];
                popup_ff42c813bbbb42fabb25a0a2402e5394.setContent(html_a2fcca1b3aca4128a9f583697f82a2ee);
            

            circle_marker_dfd4c96f9025432d8176e7a60a094e6a.bindPopup(popup_ff42c813bbbb42fabb25a0a2402e5394);

            
        
        
            

            var circle_marker_6265f56503a849b1970701b135421804 = L.circle(
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                6,
                {
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                    fillColor: '#95050D',
                    fillOpacity: 0.7
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                .addTo(map_88281adf7e3e492b95d37d9c1b962cb7);
            
        
            
            var popup_456b14900b39437aa6a5abd3255515f3 = L.popup({maxWidth: '300'});

            
                var html_345fb68b3ee84407bc605bd2364da3ab = $('         <div id="html_345fb68b3ee84407bc605bd2364da3ab"                 style="width: 100.0%; height: 100.0%;">                 Cluster 0 / Cabbagetown, St. James Town</div>                 ')[0];
                popup_456b14900b39437aa6a5abd3255515f3.setContent(html_345fb68b3ee84407bc605bd2364da3ab);
            

            circle_marker_6265f56503a849b1970701b135421804.bindPopup(popup_456b14900b39437aa6a5abd3255515f3);

            
        
        
            

            var circle_marker_28fe20648e494756aded844f4e7ecc0c = L.circle(
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                {
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                    fillColor: '#95050D',
                    fillOpacity: 0.7
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                )
                .addTo(map_88281adf7e3e492b95d37d9c1b962cb7);
            
        
            
            var popup_5dd63c6edde14d2f89365dd78d0a542a = L.popup({maxWidth: '300'});

            
                var html_d362a10b5e024ddeac5b38c88fa5baa4 = $('         <div id="html_d362a10b5e024ddeac5b38c88fa5baa4"                 style="width: 100.0%; height: 100.0%;">                 Cluster 0 / Church and Wellesley</div>                 ')[0];
                popup_5dd63c6edde14d2f89365dd78d0a542a.setContent(html_d362a10b5e024ddeac5b38c88fa5baa4);
            

            circle_marker_28fe20648e494756aded844f4e7ecc0c.bindPopup(popup_5dd63c6edde14d2f89365dd78d0a542a);

            
        
        
            

            var circle_marker_383d595fe9e74a24b1854a433e8ab4d4 = L.circle(
                [43.6542599,-79.3606359],
                6,
                {
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                    fillOpacity: 0.7
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                )
                .addTo(map_88281adf7e3e492b95d37d9c1b962cb7);
            
        
            
            var popup_0001f868426d401ea6184b5adc308660 = L.popup({maxWidth: '300'});

            
                var html_049040e0cc2c428fa65d050b5a4e2d5c = $('         <div id="html_049040e0cc2c428fa65d050b5a4e2d5c"                 style="width: 100.0%; height: 100.0%;">                 Cluster 0 / Harbourfront, Regent Park</div>                 ')[0];
                popup_0001f868426d401ea6184b5adc308660.setContent(html_049040e0cc2c428fa65d050b5a4e2d5c);
            

            circle_marker_383d595fe9e74a24b1854a433e8ab4d4.bindPopup(popup_0001f868426d401ea6184b5adc308660);

            
        
        
            

            var circle_marker_0120a5a8802e490f8be59d9a77de9c7d = L.circle(
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                6,
                {
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                    fillColor: '#95050D',
                    fillOpacity: 0.7
                    }
                )
                .addTo(map_88281adf7e3e492b95d37d9c1b962cb7);
            
        
            
            var popup_ab4ac02c2b3f41f3a2dca6805472680e = L.popup({maxWidth: '300'});

            
                var html_cc48692791c1476e91fe32155fcc7d92 = $('         <div id="html_cc48692791c1476e91fe32155fcc7d92"                 style="width: 100.0%; height: 100.0%;">                 Cluster 0 / Ryerson, Garden District</div>                 ')[0];
                popup_ab4ac02c2b3f41f3a2dca6805472680e.setContent(html_cc48692791c1476e91fe32155fcc7d92);
            

            circle_marker_0120a5a8802e490f8be59d9a77de9c7d.bindPopup(popup_ab4ac02c2b3f41f3a2dca6805472680e);

            
        
        
            

            var circle_marker_489a1afd4f6144d59ad296d59b0e9a9b = L.circle(
                [43.6514939,-79.3754179],
                6,
                {
                    color: '#95050D',
                    fillColor: '#95050D',
                    fillOpacity: 0.7
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                )
                .addTo(map_88281adf7e3e492b95d37d9c1b962cb7);
            
        
            
            var popup_091bdef131d84d1f89fe37aeecae0a1a = L.popup({maxWidth: '300'});

            
                var html_3c7a35d7a18e4225a0b48bc12d2797b0 = $('         <div id="html_3c7a35d7a18e4225a0b48bc12d2797b0"                 style="width: 100.0%; height: 100.0%;">                 Cluster 0 / St. James Town</div>                 ')[0];
                popup_091bdef131d84d1f89fe37aeecae0a1a.setContent(html_3c7a35d7a18e4225a0b48bc12d2797b0);
            

            circle_marker_489a1afd4f6144d59ad296d59b0e9a9b.bindPopup(popup_091bdef131d84d1f89fe37aeecae0a1a);

            
        
        
            

            var circle_marker_779c356605f04c9095c62b2ced1a396d = L.circle(
                [43.6447708,-79.3733064],
                6,
                {
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                    fillColor: '#95050D',
                    fillOpacity: 0.7
                    }
                )
                .addTo(map_88281adf7e3e492b95d37d9c1b962cb7);
            
        
            
            var popup_5ac5debd7a4447509c922b8865bf8455 = L.popup({maxWidth: '300'});

            
                var html_1c8b45d96d8e4c478d3a71eb89cbc0c9 = $('         <div id="html_1c8b45d96d8e4c478d3a71eb89cbc0c9"                 style="width: 100.0%; height: 100.0%;">                 Cluster 0 / Berczy Park</div>                 ')[0];
                popup_5ac5debd7a4447509c922b8865bf8455.setContent(html_1c8b45d96d8e4c478d3a71eb89cbc0c9);
            

            circle_marker_779c356605f04c9095c62b2ced1a396d.bindPopup(popup_5ac5debd7a4447509c922b8865bf8455);

            
        
        
            

            var circle_marker_ebba3d1d20ce4dc9926e4c9815cf0b8b = L.circle(
                [43.6579524,-79.3873826],
                6,
                {
                    color: '#95050D',
                    fillColor: '#95050D',
                    fillOpacity: 0.7
                    }
                )
                .addTo(map_88281adf7e3e492b95d37d9c1b962cb7);
            
        
            
            var popup_51df1694afde4c44ae05c7dc2a50b12d = L.popup({maxWidth: '300'});

            
                var html_a00ae24e29eb4ed68c9877c80486e0ce = $('         <div id="html_a00ae24e29eb4ed68c9877c80486e0ce"                 style="width: 100.0%; height: 100.0%;">                 Cluster 0 / Central Bay Street</div>                 ')[0];
                popup_51df1694afde4c44ae05c7dc2a50b12d.setContent(html_a00ae24e29eb4ed68c9877c80486e0ce);
            

            circle_marker_ebba3d1d20ce4dc9926e4c9815cf0b8b.bindPopup(popup_51df1694afde4c44ae05c7dc2a50b12d);

            
        
        
            

            var circle_marker_c6ecb1d05abe47dabe41c8aabe31688f = L.circle(
                [43.65057120000001,-79.3845675],
                6,
                {
                    color: '#95050D',
                    fillColor: '#95050D',
                    fillOpacity: 0.7
                    }
                )
                .addTo(map_88281adf7e3e492b95d37d9c1b962cb7);
            
        
            
            var popup_b691900e3ad3480d9e261aeed53abbb4 = L.popup({maxWidth: '300'});

            
                var html_9a3a193cbf2b43d2adb89b382fe87b10 = $('         <div id="html_9a3a193cbf2b43d2adb89b382fe87b10"                 style="width: 100.0%; height: 100.0%;">                 Cluster 0 / Adelaide, King, Richmond</div>                 ')[0];
                popup_b691900e3ad3480d9e261aeed53abbb4.setContent(html_9a3a193cbf2b43d2adb89b382fe87b10);
            

            circle_marker_c6ecb1d05abe47dabe41c8aabe31688f.bindPopup(popup_b691900e3ad3480d9e261aeed53abbb4);

            
        
        
            

            var circle_marker_619c42e7bf314838a7c66acfdfcfbdbe = L.circle(
                [43.6408157,-79.38175229999997],
                6,
                {
                    color: '#95050D',
                    fillColor: '#95050D',
                    fillOpacity: 0.7
                    }
                )
                .addTo(map_88281adf7e3e492b95d37d9c1b962cb7);
            
        
            
            var popup_ba04289c382c4675864fe94fec5d708c = L.popup({maxWidth: '300'});

            
                var html_7c376f6d8c85433e89c2d1dc966e0d7b = $('         <div id="html_7c376f6d8c85433e89c2d1dc966e0d7b"                 style="width: 100.0%; height: 100.0%;">                 Cluster 0 / Harbourfront East, Toronto Islands, Union Station</div>                 ')[0];
                popup_ba04289c382c4675864fe94fec5d708c.setContent(html_7c376f6d8c85433e89c2d1dc966e0d7b);
            

            circle_marker_619c42e7bf314838a7c66acfdfcfbdbe.bindPopup(popup_ba04289c382c4675864fe94fec5d708c);

            
        
        
            

            var circle_marker_91fc8b25c73245148eebfad7af0ca776 = L.circle(
                [43.6471768,-79.38157640000001],
                6,
                {
                    color: '#95050D',
                    fillColor: '#95050D',
                    fillOpacity: 0.7
                    }
                )
                .addTo(map_88281adf7e3e492b95d37d9c1b962cb7);
            
        
            
            var popup_ee63f1e53f0b4fdaa82d9d020f5a512f = L.popup({maxWidth: '300'});

            
                var html_026f857bce9d42b1bd8c2b38a0147552 = $('         <div id="html_026f857bce9d42b1bd8c2b38a0147552"                 style="width: 100.0%; height: 100.0%;">                 Cluster 0 / Design Exchange, Toronto Dominion Centre</div>                 ')[0];
                popup_ee63f1e53f0b4fdaa82d9d020f5a512f.setContent(html_026f857bce9d42b1bd8c2b38a0147552);
            

            circle_marker_91fc8b25c73245148eebfad7af0ca776.bindPopup(popup_ee63f1e53f0b4fdaa82d9d020f5a512f);

            
        
        
            

            var circle_marker_5ce1cefcf7b74769a6e17e02f466bd4a = L.circle(
                [43.6481985,-79.37981690000002],
                6,
                {
                    color: '#95050D',
                    fillColor: '#95050D',
                    fillOpacity: 0.7
                    }
                )
                .addTo(map_88281adf7e3e492b95d37d9c1b962cb7);
            
        
            
            var popup_866d7b60a6d24a83b3e775b799bde36a = L.popup({maxWidth: '300'});

            
                var html_94ea99fe83754d289f9b315c13a4b811 = $('         <div id="html_94ea99fe83754d289f9b315c13a4b811"                 style="width: 100.0%; height: 100.0%;">                 Cluster 0 / Commerce Court, Victoria Hotel</div>                 ')[0];
                popup_866d7b60a6d24a83b3e775b799bde36a.setContent(html_94ea99fe83754d289f9b315c13a4b811);
            

            circle_marker_5ce1cefcf7b74769a6e17e02f466bd4a.bindPopup(popup_866d7b60a6d24a83b3e775b799bde36a);

            
        
        
            

            var circle_marker_37bd639cfd5f408aa2fc54e1439690ba = L.circle(
                [43.7116948,-79.41693559999999],
                6,
                {
                    color: '#912575',
                    fillColor: '#912575',
                    fillOpacity: 0.7
                    }
                )
                .addTo(map_88281adf7e3e492b95d37d9c1b962cb7);
            
        
            
            var popup_6aaf1aaf16be406c854ba7c7d997f5a0 = L.popup({maxWidth: '300'});

            
                var html_6e6ae284708e47cca4d606314c270c41 = $('         <div id="html_6e6ae284708e47cca4d606314c270c41"                 style="width: 100.0%; height: 100.0%;">                 Cluster 3 / Roselawn</div>                 ')[0];
                popup_6aaf1aaf16be406c854ba7c7d997f5a0.setContent(html_6e6ae284708e47cca4d606314c270c41);
            

            circle_marker_37bd639cfd5f408aa2fc54e1439690ba.bindPopup(popup_6aaf1aaf16be406c854ba7c7d997f5a0);

            
        
        
            

            var circle_marker_a059134620354ea19436c99390503942 = L.circle(
                [43.6969476,-79.41130720000002],
                6,
                {
                    color: '#95050D',
                    fillColor: '#95050D',
                    fillOpacity: 0.7
                    }
                )
                .addTo(map_88281adf7e3e492b95d37d9c1b962cb7);
            
        
            
            var popup_736434b49b0349139bb8174d2af0aa51 = L.popup({maxWidth: '300'});

            
                var html_77eb0ca5f7d342a3829de2357bcd56d1 = $('         <div id="html_77eb0ca5f7d342a3829de2357bcd56d1"                 style="width: 100.0%; height: 100.0%;">                 Cluster 0 / Forest Hill North, Forest Hill West</div>                 ')[0];
                popup_736434b49b0349139bb8174d2af0aa51.setContent(html_77eb0ca5f7d342a3829de2357bcd56d1);
            

            circle_marker_a059134620354ea19436c99390503942.bindPopup(popup_736434b49b0349139bb8174d2af0aa51);

            
        
        
            

            var circle_marker_7d449d0a6bfe4c8ba8bc7d78efde4ec7 = L.circle(
                [43.6727097,-79.40567840000001],
                6,
                {
                    color: '#B102D6',
                    fillColor: '#B102D6',
                    fillOpacity: 0.7
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                )
                .addTo(map_88281adf7e3e492b95d37d9c1b962cb7);
            
        
            
            var popup_f2f0b63cb1f24d4e9dc8bb7b1b0ccae7 = L.popup({maxWidth: '300'});

            
                var html_fb36d567b8f24b19ab770ace4e61c2c3 = $('         <div id="html_fb36d567b8f24b19ab770ace4e61c2c3"                 style="width: 100.0%; height: 100.0%;">                 Cluster 1 / The Annex, North Midtown, Yorkville</div>                 ')[0];
                popup_f2f0b63cb1f24d4e9dc8bb7b1b0ccae7.setContent(html_fb36d567b8f24b19ab770ace4e61c2c3);
            

            circle_marker_7d449d0a6bfe4c8ba8bc7d78efde4ec7.bindPopup(popup_f2f0b63cb1f24d4e9dc8bb7b1b0ccae7);

            
        
        
            

            var circle_marker_0461e6d6dd9e461c88a6f461b7f8aacb = L.circle(
                [43.6626956,-79.4000493],
                6,
                {
                    color: '#95050D',
                    fillColor: '#95050D',
                    fillOpacity: 0.7
                    }
                )
                .addTo(map_88281adf7e3e492b95d37d9c1b962cb7);
            
        
            
            var popup_47987ac367d54d3e8290a0f230f9721d = L.popup({maxWidth: '300'});

            
                var html_008ead69736c41bdad64115f5033b879 = $('         <div id="html_008ead69736c41bdad64115f5033b879"                 style="width: 100.0%; height: 100.0%;">                 Cluster 0 / Harbord, University of Toronto</div>                 ')[0];
                popup_47987ac367d54d3e8290a0f230f9721d.setContent(html_008ead69736c41bdad64115f5033b879);
            

            circle_marker_0461e6d6dd9e461c88a6f461b7f8aacb.bindPopup(popup_47987ac367d54d3e8290a0f230f9721d);

            
        
        
            

            var circle_marker_5d22dfb1e82c430c8283ae7dadb34fbc = L.circle(
                [43.6532057,-79.4000493],
                6,
                {
                    color: '#95050D',
                    fillColor: '#95050D',
                    fillOpacity: 0.7
                    }
                )
                .addTo(map_88281adf7e3e492b95d37d9c1b962cb7);
            
        
            
            var popup_b065021689594d99848c2242dceb775b = L.popup({maxWidth: '300'});

            
                var html_d3daa5ad9906411da17f7f6385f50091 = $('         <div id="html_d3daa5ad9906411da17f7f6385f50091"                 style="width: 100.0%; height: 100.0%;">                 Cluster 0 / Chinatown, Grange Park, Kensington Market</div>                 ')[0];
                popup_b065021689594d99848c2242dceb775b.setContent(html_d3daa5ad9906411da17f7f6385f50091);
            

            circle_marker_5d22dfb1e82c430c8283ae7dadb34fbc.bindPopup(popup_b065021689594d99848c2242dceb775b);

            
        
        
            

            var circle_marker_5e7a14fbcff64716ab79837c876ac0c7 = L.circle(
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                6,
                {
                    color: '#02798E',
                    fillColor: '#02798E',
                    fillOpacity: 0.7
                    }
                )
                .addTo(map_88281adf7e3e492b95d37d9c1b962cb7);
            
        
            
            var popup_edde59ad789f4908a90333d42ee07020 = L.popup({maxWidth: '300'});

            
                var html_ada6a27d81d14268a5722696204f753c = $('         <div id="html_ada6a27d81d14268a5722696204f753c"                 style="width: 100.0%; height: 100.0%;">                 Cluster 4 / CN Tower, Bathurst Quay, Island airport, Harbourfront West, King and Spadina, Railway Lands, South Niagara</div>                 ')[0];
                popup_edde59ad789f4908a90333d42ee07020.setContent(html_ada6a27d81d14268a5722696204f753c);
            

            circle_marker_5e7a14fbcff64716ab79837c876ac0c7.bindPopup(popup_edde59ad789f4908a90333d42ee07020);

            
        
        
            

            var circle_marker_a131bb652af2402786e34f72cf4a0185 = L.circle(
                [43.6464352,-79.37484599999998],
                6,
                {
                    color: '#BCFCC1',
                    fillColor: '#BCFCC1',
                    fillOpacity: 0.7
                    }
                )
                .addTo(map_88281adf7e3e492b95d37d9c1b962cb7);
            
        
            
            var popup_3094af90b54746d69981c479321056fb = L.popup({maxWidth: '300'});

            
                var html_104c2c0c2f6947089fa44c65c75b965e = $('         <div id="html_104c2c0c2f6947089fa44c65c75b965e"                 style="width: 100.0%; height: 100.0%;">                 Cluster 2 / Stn A PO Boxes 25 The Esplanade</div>                 ')[0];
                popup_3094af90b54746d69981c479321056fb.setContent(html_104c2c0c2f6947089fa44c65c75b965e);
            

            circle_marker_a131bb652af2402786e34f72cf4a0185.bindPopup(popup_3094af90b54746d69981c479321056fb);

            
        
        
            

            var circle_marker_6e6a447977164d2b972ad59d2e467dc1 = L.circle(
                [43.6484292,-79.3822802],
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                    color: '#95050D',
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                .addTo(map_88281adf7e3e492b95d37d9c1b962cb7);
            
        
            
            var popup_738f78e4db664e87b3240eb8dd236860 = L.popup({maxWidth: '300'});

            
                var html_f557655878f540aebc79722c95826430 = $('         <div id="html_f557655878f540aebc79722c95826430"                 style="width: 100.0%; height: 100.0%;">                 Cluster 0 / First Canadian Place, Underground city</div>                 ')[0];
                popup_738f78e4db664e87b3240eb8dd236860.setContent(html_f557655878f540aebc79722c95826430);
            

            circle_marker_6e6a447977164d2b972ad59d2e467dc1.bindPopup(popup_738f78e4db664e87b3240eb8dd236860);

            
        
        
            

            var circle_marker_82c8c99370cd497d91f10cb48ddfc5db = L.circle(
                [43.669542,-79.4225637],
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                .addTo(map_88281adf7e3e492b95d37d9c1b962cb7);
            
        
            
            var popup_00b6b97fff1e4c959f6258766e9cddf1 = L.popup({maxWidth: '300'});

            
                var html_cb676bec33574801898227bdbaf52cfb = $('         <div id="html_cb676bec33574801898227bdbaf52cfb"                 style="width: 100.0%; height: 100.0%;">                 Cluster 0 / Christie</div>                 ')[0];
                popup_00b6b97fff1e4c959f6258766e9cddf1.setContent(html_cb676bec33574801898227bdbaf52cfb);
            

            circle_marker_82c8c99370cd497d91f10cb48ddfc5db.bindPopup(popup_00b6b97fff1e4c959f6258766e9cddf1);

            
        
        
            

            var circle_marker_1c70862fb3c5422a8f2da225d4a0082c = L.circle(
                [43.66900510000001,-79.4422593],
                6,
                {
                    color: '#95050D',
                    fillColor: '#95050D',
                    fillOpacity: 0.7
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                )
                .addTo(map_88281adf7e3e492b95d37d9c1b962cb7);
            
        
            
            var popup_e433625b3b5b447e9f40252f0a55c8e0 = L.popup({maxWidth: '300'});

            
                var html_5689b8a09fb9420ba461b0cc49120ab7 = $('         <div id="html_5689b8a09fb9420ba461b0cc49120ab7"                 style="width: 100.0%; height: 100.0%;">                 Cluster 0 / Dovercourt Village, Dufferin</div>                 ')[0];
                popup_e433625b3b5b447e9f40252f0a55c8e0.setContent(html_5689b8a09fb9420ba461b0cc49120ab7);
            

            circle_marker_1c70862fb3c5422a8f2da225d4a0082c.bindPopup(popup_e433625b3b5b447e9f40252f0a55c8e0);

            
        
        
            

            var circle_marker_cc89ff443aab460c9ba2abe9e3d42f98 = L.circle(
                [43.647926700000006,-79.4197497],
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                {
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                    fillOpacity: 0.7
                    }
                )
                .addTo(map_88281adf7e3e492b95d37d9c1b962cb7);
            
        
            
            var popup_ca49d8f354b64e25ab5156bc4d52f8df = L.popup({maxWidth: '300'});

            
                var html_543dcab9fecd4e16a40c9d710607f239 = $('         <div id="html_543dcab9fecd4e16a40c9d710607f239"                 style="width: 100.0%; height: 100.0%;">                 Cluster 0 / Little Portugal, Trinity</div>                 ')[0];
                popup_ca49d8f354b64e25ab5156bc4d52f8df.setContent(html_543dcab9fecd4e16a40c9d710607f239);
            

            circle_marker_cc89ff443aab460c9ba2abe9e3d42f98.bindPopup(popup_ca49d8f354b64e25ab5156bc4d52f8df);

            
        
        
            

            var circle_marker_66babd5155ee49db88ae9d4b01b2369a = L.circle(
                [43.6368472,-79.42819140000002],
                6,
                {
                    color: '#95050D',
                    fillColor: '#95050D',
                    fillOpacity: 0.7
                    }
                )
                .addTo(map_88281adf7e3e492b95d37d9c1b962cb7);
            
        
            
            var popup_9ba6d5efa77749458716c34451afd0fe = L.popup({maxWidth: '300'});

            
                var html_c9b6e7113855435ab434102ba6373434 = $('         <div id="html_c9b6e7113855435ab434102ba6373434"                 style="width: 100.0%; height: 100.0%;">                 Cluster 0 / Brockton, Exhibition Place, Parkdale Village</div>                 ')[0];
                popup_9ba6d5efa77749458716c34451afd0fe.setContent(html_c9b6e7113855435ab434102ba6373434);
            

            circle_marker_66babd5155ee49db88ae9d4b01b2369a.bindPopup(popup_9ba6d5efa77749458716c34451afd0fe);

            
        
        
            

            var circle_marker_abba96475b5146e1bc9bf6b1552a75a6 = L.circle(
                [43.6616083,-79.46476329999999],
                6,
                {
                    color: '#95050D',
                    fillColor: '#95050D',
                    fillOpacity: 0.7
                    }
                )
                .addTo(map_88281adf7e3e492b95d37d9c1b962cb7);
            
        
            
            var popup_806771dbaf4b430781be98912963adb1 = L.popup({maxWidth: '300'});

            
                var html_491ccaf93d77495daed6016411fe2ee4 = $('         <div id="html_491ccaf93d77495daed6016411fe2ee4"                 style="width: 100.0%; height: 100.0%;">                 Cluster 0 / High Park, The Junction South</div>                 ')[0];
                popup_806771dbaf4b430781be98912963adb1.setContent(html_491ccaf93d77495daed6016411fe2ee4);
            

            circle_marker_abba96475b5146e1bc9bf6b1552a75a6.bindPopup(popup_806771dbaf4b430781be98912963adb1);

            
        
        
            

            var circle_marker_1fe718e5fe9f4d74bdf2046da007cd32 = L.circle(
                [43.6489597,-79.456325],
                6,
                {
                    color: '#95050D',
                    fillColor: '#95050D',
                    fillOpacity: 0.7
                    }
                )
                .addTo(map_88281adf7e3e492b95d37d9c1b962cb7);
            
        
            
            var popup_6ae126e9904543d6b2516fe2c0e7cd14 = L.popup({maxWidth: '300'});

            
                var html_de5d561d1c3548028db353737d5b6710 = $('         <div id="html_de5d561d1c3548028db353737d5b6710"                 style="width: 100.0%; height: 100.0%;">                 Cluster 0 / Parkdale, Roncesvalles</div>                 ')[0];
                popup_6ae126e9904543d6b2516fe2c0e7cd14.setContent(html_de5d561d1c3548028db353737d5b6710);
            

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            var circle_marker_3faa908cb72c4b878e41c52648ac4c8c = L.circle(
                [43.6515706,-79.4844499],
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                {
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                )
                .addTo(map_88281adf7e3e492b95d37d9c1b962cb7);
            
        
            
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                var html_87a6f3a7bf4a445fa7cb7e05691bfa52 = $('         <div id="html_87a6f3a7bf4a445fa7cb7e05691bfa52"                 style="width: 100.0%; height: 100.0%;">                 Cluster 0 / Runnymede, Swansea</div>                 ')[0];
                popup_5e49995dc3d648fdae7e709020b2e7f9.setContent(html_87a6f3a7bf4a445fa7cb7e05691bfa52);
            

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            var circle_marker_e0460d83961a4f83aa44fe155edaeb44 = L.circle(
                [43.6627439,-79.321558],
                6,
                {
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                    fillColor: '#95050D',
                    fillOpacity: 0.7
                    }
                )
                .addTo(map_88281adf7e3e492b95d37d9c1b962cb7);
            
        
            
            var popup_4c7cf86ee363414e8fd5935aef475abb = L.popup({maxWidth: '300'});

            
                var html_e9b9f1f5bce34e659d822384fb4f902f = $('         <div id="html_e9b9f1f5bce34e659d822384fb4f902f"                 style="width: 100.0%; height: 100.0%;">                 Cluster 0 / Business Reply Mail Processing Centre 969 Eastern</div>                 ')[0];
                popup_4c7cf86ee363414e8fd5935aef475abb.setContent(html_e9b9f1f5bce34e659d822384fb4f902f);
            

            circle_marker_e0460d83961a4f83aa44fe155edaeb44.bindPopup(popup_4c7cf86ee363414e8fd5935aef475abb);

            
        
        
        
        </script>
        \" style=\"position:absolute;width:100%;height:100%;left:0;top:0;\"></iframe></div></div>",
            "text/plain": "<folium.folium.Map at 0x7fa927290518>"
          },
          "metadata": {}
        }
      ]
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "#Examine cluster 0\ntoronto_merged.loc[toronto_merged['Cluster Labels'] == 0, toronto_merged.columns[[1] + list(range(5, toronto_merged.shape[1]))]]",
      "execution_count": 34,
      "outputs": [
        {
          "output_type": "execute_result",
          "execution_count": 34,
          "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>0</th>\n      <td>East Toronto</td>\n      <td>0</td>\n      <td>Coffee Shop</td>\n      <td>Other Great Outdoors</td>\n      <td>Pub</td>\n      <td>Women's Store</td>\n      <td>Dim Sum Restaurant</td>\n      <td>Falafel Restaurant</td>\n      <td>Event Space</td>\n      <td>Ethiopian Restaurant</td>\n      <td>Electronics Store</td>\n      <td>Eastern European Restaurant</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>East Toronto</td>\n      <td>0</td>\n      <td>Greek Restaurant</td>\n      <td>Coffee Shop</td>\n      <td>Ice Cream Shop</td>\n      <td>Bookstore</td>\n      <td>Italian Restaurant</td>\n      <td>Cosmetics Shop</td>\n      <td>Brewery</td>\n      <td>Bubble Tea Shop</td>\n      <td>Restaurant</td>\n      <td>Pub</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>East Toronto</td>\n      <td>0</td>\n      <td>Sandwich Place</td>\n      <td>Coffee Shop</td>\n      <td>Ice Cream Shop</td>\n      <td>Brewery</td>\n      <td>Liquor Store</td>\n      <td>Fast Food Restaurant</td>\n      <td>Burger Joint</td>\n      <td>Fish &amp; Chips Shop</td>\n      <td>Burrito Place</td>\n      <td>Steakhouse</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>Italian Restaurant</td>\n      <td>Bakery</td>\n      <td>American Restaurant</td>\n      <td>Food</td>\n      <td>Fish Market</td>\n      <td>Juice Bar</td>\n      <td>New American Restaurant</td>\n      <td>Latin American Restaurant</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>Central Toronto</td>\n      <td>0</td>\n      <td>Gym / Fitness Center</td>\n      <td>Park</td>\n      <td>Swim School</td>\n      <td>Bus Line</td>\n      <td>Convenience Store</td>\n      <td>Cosmetics Shop</td>\n      <td>Farmers Market</td>\n      <td>Falafel Restaurant</td>\n      <td>Event Space</td>\n      <td>Ethiopian Restaurant</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>Central Toronto</td>\n      <td>0</td>\n      <td>Gym / Fitness Center</td>\n      <td>Gym</td>\n      <td>Park</td>\n      <td>Sandwich Place</td>\n      <td>Burger Joint</td>\n      <td>Breakfast Spot</td>\n      <td>Food &amp; Drink Shop</td>\n      <td>Hotel</td>\n      <td>Dumpling Restaurant</td>\n      <td>Doner Restaurant</td>\n    </tr>\n    <tr>\n      <th>6</th>\n      <td>Central Toronto</td>\n      <td>0</td>\n      <td>Coffee Shop</td>\n      <td>Clothing Store</td>\n      <td>Sporting Goods Shop</td>\n      <td>Bagel Shop</td>\n      <td>Fast Food Restaurant</td>\n      <td>Metro Station</td>\n      <td>Mexican Restaurant</td>\n      <td>Diner</td>\n      <td>Dessert Shop</td>\n      <td>Cosmetics Shop</td>\n    </tr>\n    <tr>\n      <th>7</th>\n      <td>Central Toronto</td>\n      <td>0</td>\n      <td>Sandwich Place</td>\n      <td>Dessert Shop</td>\n      <td>Sushi Restaurant</td>\n      <td>Pizza Place</td>\n      <td>Restaurant</td>\n      <td>Italian Restaurant</td>\n      <td>Café</td>\n      <td>Seafood Restaurant</td>\n      <td>Coffee Shop</td>\n      <td>Greek Restaurant</td>\n    </tr>\n    <tr>\n      <th>8</th>\n      <td>Central Toronto</td>\n      <td>0</td>\n      <td>Playground</td>\n      <td>Women's Store</td>\n      <td>Dim Sum Restaurant</td>\n      <td>Farmers Market</td>\n      <td>Falafel Restaurant</td>\n      <td>Event Space</td>\n      <td>Ethiopian Restaurant</td>\n      <td>Electronics Store</td>\n      <td>Eastern European Restaurant</td>\n      <td>Dumpling Restaurant</td>\n    </tr>\n    <tr>\n      <th>9</th>\n      <td>Central Toronto</td>\n      <td>0</td>\n      <td>Coffee Shop</td>\n      <td>Pub</td>\n      <td>Fried Chicken Joint</td>\n      <td>Pizza Place</td>\n      <td>Sushi Restaurant</td>\n      <td>Bagel Shop</td>\n      <td>Sports Bar</td>\n      <td>American Restaurant</td>\n      <td>Convenience Store</td>\n      <td>Vietnamese Restaurant</td>\n    </tr>\n    <tr>\n      <th>10</th>\n      <td>Downtown Toronto</td>\n      <td>0</td>\n      <td>Park</td>\n      <td>Playground</td>\n      <td>Trail</td>\n      <td>Women's Store</td>\n      <td>Dim Sum Restaurant</td>\n      <td>Falafel Restaurant</td>\n      <td>Event Space</td>\n      <td>Ethiopian Restaurant</td>\n      <td>Electronics Store</td>\n      <td>Eastern European Restaurant</td>\n    </tr>\n    <tr>\n      <th>11</th>\n      <td>Downtown Toronto</td>\n      <td>0</td>\n      <td>Coffee Shop</td>\n      <td>Restaurant</td>\n      <td>Pet Store</td>\n      <td>Bakery</td>\n      <td>Pub</td>\n      <td>Café</td>\n      <td>Pizza Place</td>\n      <td>Park</td>\n      <td>Italian Restaurant</td>\n      <td>Japanese Restaurant</td>\n    </tr>\n    <tr>\n      <th>12</th>\n      <td>Downtown Toronto</td>\n      <td>0</td>\n      <td>Japanese Restaurant</td>\n      <td>Sushi Restaurant</td>\n      <td>Coffee Shop</td>\n      <td>Gay Bar</td>\n      <td>Restaurant</td>\n      <td>Burger Joint</td>\n      <td>Gastropub</td>\n      <td>Fast Food Restaurant</td>\n      <td>Mediterranean Restaurant</td>\n      <td>Café</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>Park</td>\n      <td>Bakery</td>\n      <td>Café</td>\n      <td>Pub</td>\n      <td>Mexican Restaurant</td>\n      <td>Restaurant</td>\n      <td>Breakfast Spot</td>\n      <td>Theater</td>\n      <td>Bank</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>Restaurant</td>\n      <td>Tea Room</td>\n      <td>Italian Restaurant</td>\n      <td>Bar</td>\n      <td>Japanese 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>Restaurant</td>\n      <td>Hotel</td>\n      <td>Café</td>\n      <td>Clothing Store</td>\n      <td>Italian Restaurant</td>\n      <td>Gastropub</td>\n      <td>Bakery</td>\n      <td>Cosmetics Shop</td>\n      <td>Park</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>Restaurant</td>\n      <td>Farmers Market</td>\n      <td>Café</td>\n      <td>Steakhouse</td>\n      <td>Beer Bar</td>\n      <td>Italian Restaurant</td>\n      <td>Seafood Restaurant</td>\n      <td>Pub</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>Café</td>\n      <td>Italian Restaurant</td>\n      <td>Bar</td>\n      <td>Burger Joint</td>\n      <td>Bubble Tea Shop</td>\n      <td>Thai Restaurant</td>\n      <td>Sandwich Place</td>\n      <td>Chinese Restaurant</td>\n      <td>Spa</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>American Restaurant</td>\n      <td>Thai Restaurant</td>\n      <td>Hotel</td>\n      <td>Bar</td>\n      <td>Clothing Store</td>\n      <td>Bakery</td>\n      <td>Asian 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>Hotel</td>\n      <td>Aquarium</td>\n      <td>Café</td>\n      <td>Pizza Place</td>\n      <td>Scenic Lookout</td>\n      <td>Restaurant</td>\n      <td>Bakery</td>\n      <td>Brewery</td>\n      <td>Italian Restaurant</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>American Restaurant</td>\n      <td>Restaurant</td>\n      <td>Gastropub</td>\n      <td>Deli / Bodega</td>\n      <td>Italian Restaurant</td>\n      <td>Bar</td>\n      <td>Seafood 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>Café</td>\n      <td>Hotel</td>\n      <td>Restaurant</td>\n      <td>American Restaurant</td>\n      <td>Gym</td>\n      <td>Bakery</td>\n      <td>Steakhouse</td>\n      <td>Italian Restaurant</td>\n      <td>Deli / Bodega</td>\n    </tr>\n    <tr>\n      <th>23</th>\n      <td>Central Toronto</td>\n      <td>0</td>\n      <td>Mexican Restaurant</td>\n      <td>Trail</td>\n      <td>Jewelry Store</td>\n      <td>Sushi Restaurant</td>\n      <td>Women's Store</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    <tr>\n      <th>25</th>\n      <td>Downtown Toronto</td>\n      <td>0</td>\n      <td>Café</td>\n      <td>Bar</td>\n      <td>Japanese Restaurant</td>\n      <td>Bakery</td>\n      <td>Restaurant</td>\n      <td>Coffee Shop</td>\n      <td>Bookstore</td>\n      <td>Nightclub</td>\n      <td>French Restaurant</td>\n      <td>Italian Restaurant</td>\n    </tr>\n    <tr>\n      <th>26</th>\n      <td>Downtown Toronto</td>\n      <td>0</td>\n      <td>Café</td>\n      <td>Bar</td>\n      <td>Vegetarian / Vegan Restaurant</td>\n      <td>Dumpling Restaurant</td>\n      <td>Vietnamese Restaurant</td>\n      <td>Bakery</td>\n      <td>Coffee Shop</td>\n      <td>Chinese Restaurant</td>\n      <td>Mexican Restaurant</td>\n      <td>Gaming Cafe</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>American Restaurant</td>\n      <td>Bar</td>\n      <td>Bakery</td>\n      <td>Gastropub</td>\n      <td>Asian Restaurant</td>\n      <td>Steakhouse</td>\n    </tr>\n    <tr>\n      <th>30</th>\n      <td>Downtown Toronto</td>\n      <td>0</td>\n      <td>Grocery Store</td>\n      <td>Café</td>\n      <td>Park</td>\n      <td>Nightclub</td>\n      <td>Baby Store</td>\n      <td>Diner</td>\n      <td>Athletics &amp; Sports</td>\n      <td>Italian Restaurant</td>\n      <td>Restaurant</td>\n      <td>Convenience Store</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>Discount Store</td>\n      <td>Pharmacy</td>\n      <td>Liquor Store</td>\n      <td>Music Venue</td>\n      <td>Middle Eastern Restaurant</td>\n      <td>Bank</td>\n      <td>Bar</td>\n      <td>Pool</td>\n    </tr>\n    <tr>\n      <th>32</th>\n      <td>West Toronto</td>\n      <td>0</td>\n      <td>Bar</td>\n      <td>Men's Store</td>\n      <td>Coffee Shop</td>\n      <td>Restaurant</td>\n      <td>Asian Restaurant</td>\n      <td>Café</td>\n      <td>Pizza Place</td>\n      <td>Cocktail Bar</td>\n      <td>Bakery</td>\n      <td>Vietnamese Restaurant</td>\n    </tr>\n    <tr>\n      <th>33</th>\n      <td>West Toronto</td>\n      <td>0</td>\n      <td>Café</td>\n      <td>Performing Arts Venue</td>\n      <td>Breakfast Spot</td>\n      <td>Coffee Shop</td>\n      <td>Climbing Gym</td>\n      <td>Burrito Place</td>\n      <td>Caribbean Restaurant</td>\n      <td>Italian Restaurant</td>\n      <td>Stadium</td>\n      <td>Bar</td>\n    </tr>\n    <tr>\n      <th>34</th>\n      <td>West Toronto</td>\n      <td>0</td>\n      <td>Mexican Restaurant</td>\n      <td>Café</td>\n      <td>Grocery Store</td>\n      <td>Furniture / Home Store</td>\n      <td>Bookstore</td>\n      <td>Fast Food Restaurant</td>\n      <td>Sandwich Place</td>\n      <td>Flea Market</td>\n      <td>Speakeasy</td>\n      <td>Bar</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>Dog Run</td>\n      <td>Dessert Shop</td>\n      <td>Bar</td>\n      <td>Bank</td>\n      <td>Burger Joint</td>\n      <td>Eastern European Restaurant</td>\n      <td>Restaurant</td>\n      <td>Italian Restaurant</td>\n    </tr>\n    <tr>\n      <th>36</th>\n      <td>West Toronto</td>\n      <td>0</td>\n      <td>Pizza Place</td>\n      <td>Café</td>\n      <td>Coffee Shop</td>\n      <td>Italian Restaurant</td>\n      <td>Sushi Restaurant</td>\n      <td>Dessert Shop</td>\n      <td>Fish Market</td>\n      <td>Food</td>\n      <td>Diner</td>\n      <td>Bar</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>Burrito Place</td>\n      <td>Brewery</td>\n      <td>Skate Park</td>\n      <td>Smoke Shop</td>\n    </tr>\n  </tbody>\n</table>\n</div>",
            "text/plain": "             Borough  Cluster Labels 1st Most Common Venue  \\\n0       East Toronto               0           Coffee Shop   \n1       East Toronto               0      Greek Restaurant   \n2       East Toronto               0        Sandwich Place   \n3       East Toronto               0                  Café   \n4    Central Toronto               0  Gym / Fitness Center   \n5    Central Toronto               0  Gym / Fitness Center   \n6    Central Toronto               0           Coffee Shop   \n7    Central Toronto               0        Sandwich Place   \n8    Central Toronto               0            Playground   \n9    Central Toronto               0           Coffee Shop   \n10  Downtown Toronto               0                  Park   \n11  Downtown Toronto               0           Coffee Shop   \n12  Downtown Toronto               0   Japanese Restaurant   \n13  Downtown Toronto               0           Coffee Shop   \n14  Downtown Toronto               0           Coffee Shop   \n15  Downtown Toronto               0           Coffee Shop   \n16  Downtown Toronto               0           Coffee Shop   \n17  Downtown Toronto               0           Coffee Shop   \n18  Downtown Toronto               0           Coffee Shop   \n19  Downtown Toronto               0           Coffee Shop   \n20  Downtown Toronto               0           Coffee Shop   \n21  Downtown Toronto               0           Coffee Shop   \n23   Central Toronto               0    Mexican Restaurant   \n25  Downtown Toronto               0                  Café   \n26  Downtown Toronto               0                  Café   \n29  Downtown Toronto               0           Coffee Shop   \n30  Downtown Toronto               0         Grocery Store   \n31      West Toronto               0           Supermarket   \n32      West Toronto               0                   Bar   \n33      West Toronto               0                  Café   \n34      West Toronto               0    Mexican Restaurant   \n35      West Toronto               0        Breakfast Spot   \n36      West Toronto               0           Pizza Place   \n37      East Toronto               0    Light Rail Station   \n\n    2nd Most Common Venue          3rd Most Common Venue  \\\n0    Other Great Outdoors                            Pub   \n1             Coffee Shop                 Ice Cream Shop   \n2             Coffee Shop                 Ice Cream Shop   \n3             Coffee Shop             Italian Restaurant   \n4                    Park                    Swim School   \n5                     Gym                           Park   \n6          Clothing Store            Sporting Goods Shop   \n7            Dessert Shop               Sushi Restaurant   \n8           Women's Store             Dim Sum Restaurant   \n9                     Pub            Fried Chicken Joint   \n10             Playground                          Trail   \n11             Restaurant                      Pet Store   \n12       Sushi Restaurant                    Coffee Shop   \n13                   Park                         Bakery   \n14         Clothing Store                           Café   \n15             Restaurant                          Hotel   \n16           Cocktail Bar                     Restaurant   \n17                   Café             Italian Restaurant   \n18                   Café                     Steakhouse   \n19                  Hotel                       Aquarium   \n20                   Café                          Hotel   \n21                   Café                          Hotel   \n23                  Trail                  Jewelry Store   \n25                    Bar            Japanese Restaurant   \n26                    Bar  Vegetarian / Vegan Restaurant   \n29                   Café                          Hotel   \n30                   Café                           Park   \n31                 Bakery                 Discount Store   \n32            Men's Store                    Coffee Shop   \n33  Performing Arts Venue                 Breakfast Spot   \n34                   Café                  Grocery Store   \n35              Gift Shop                        Dog Run   \n36                   Café                    Coffee Shop   \n37         Farmers Market                  Auto Workshop   \n\n     4th Most Common Venue      5th Most Common Venue 6th Most Common Venue  \\\n0            Women's Store         Dim Sum Restaurant    Falafel Restaurant   \n1                Bookstore         Italian Restaurant        Cosmetics Shop   \n2                  Brewery               Liquor Store  Fast Food Restaurant   \n3                   Bakery        American Restaurant                  Food   \n4                 Bus Line          Convenience Store        Cosmetics Shop   \n5           Sandwich Place               Burger Joint        Breakfast Spot   \n6               Bagel Shop       Fast Food Restaurant         Metro Station   \n7              Pizza Place                 Restaurant    Italian Restaurant   \n8           Farmers Market         Falafel Restaurant           Event Space   \n9              Pizza Place           Sushi Restaurant            Bagel Shop   \n10           Women's Store         Dim Sum Restaurant    Falafel Restaurant   \n11                  Bakery                        Pub                  Café   \n12                 Gay Bar                 Restaurant          Burger Joint   \n13                    Café                        Pub    Mexican Restaurant   \n14          Cosmetics Shop  Middle Eastern Restaurant            Restaurant   \n15                    Café             Clothing Store    Italian Restaurant   \n16          Farmers Market                       Café            Steakhouse   \n17                     Bar               Burger Joint       Bubble Tea Shop   \n18     American Restaurant            Thai Restaurant                 Hotel   \n19                    Café                Pizza Place        Scenic Lookout   \n20     American Restaurant                 Restaurant             Gastropub   \n21              Restaurant        American Restaurant                   Gym   \n23        Sushi Restaurant              Women's Store                 Diner   \n25                  Bakery                 Restaurant           Coffee Shop   \n26     Dumpling Restaurant      Vietnamese Restaurant                Bakery   \n29              Restaurant        American Restaurant                   Bar   \n30               Nightclub                 Baby Store                 Diner   \n31                Pharmacy               Liquor Store           Music Venue   \n32              Restaurant           Asian Restaurant                  Café   \n33             Coffee Shop               Climbing Gym         Burrito Place   \n34  Furniture / Home Store                  Bookstore  Fast Food Restaurant   \n35            Dessert Shop                        Bar                  Bank   \n36      Italian Restaurant           Sushi Restaurant          Dessert Shop   \n37              Comic Shop                Pizza Place            Restaurant   \n\n        7th Most Common Venue        8th Most Common Venue  \\\n0                 Event Space         Ethiopian Restaurant   \n1                     Brewery              Bubble Tea Shop   \n2                Burger Joint            Fish & Chips Shop   \n3                 Fish Market                    Juice Bar   \n4              Farmers Market           Falafel Restaurant   \n5           Food & Drink Shop                        Hotel   \n6          Mexican Restaurant                        Diner   \n7                        Café           Seafood Restaurant   \n8        Ethiopian Restaurant            Electronics Store   \n9                  Sports Bar          American Restaurant   \n10                Event Space         Ethiopian Restaurant   \n11                Pizza Place                         Park   \n12                  Gastropub         Fast Food Restaurant   \n13                 Restaurant               Breakfast Spot   \n14                   Tea Room           Italian Restaurant   \n15                  Gastropub                       Bakery   \n16                   Beer Bar           Italian Restaurant   \n17            Thai Restaurant               Sandwich Place   \n18                        Bar               Clothing Store   \n19                 Restaurant                       Bakery   \n20              Deli / Bodega           Italian Restaurant   \n21                     Bakery                   Steakhouse   \n23         Falafel Restaurant                  Event Space   \n25                  Bookstore                    Nightclub   \n26                Coffee Shop           Chinese Restaurant   \n29                     Bakery                    Gastropub   \n30         Athletics & Sports           Italian Restaurant   \n31  Middle Eastern Restaurant                         Bank   \n32                Pizza Place                 Cocktail Bar   \n33       Caribbean Restaurant           Italian Restaurant   \n34             Sandwich Place                  Flea Market   \n35               Burger Joint  Eastern European Restaurant   \n36                Fish Market                         Food   \n37              Burrito Place                      Brewery   \n\n          9th Most Common Venue       10th Most Common Venue  \n0             Electronics Store  Eastern European Restaurant  \n1                    Restaurant                          Pub  \n2                 Burrito Place                   Steakhouse  \n3       New American Restaurant    Latin American Restaurant  \n4                   Event Space         Ethiopian Restaurant  \n5           Dumpling Restaurant             Doner Restaurant  \n6                  Dessert Shop               Cosmetics Shop  \n7                   Coffee Shop             Greek Restaurant  \n8   Eastern European Restaurant          Dumpling Restaurant  \n9             Convenience Store        Vietnamese Restaurant  \n10            Electronics Store  Eastern European Restaurant  \n11           Italian Restaurant          Japanese Restaurant  \n12     Mediterranean Restaurant                         Café  \n13                      Theater                         Bank  \n14                          Bar          Japanese Restaurant  \n15               Cosmetics Shop                         Park  \n16           Seafood Restaurant                          Pub  \n17           Chinese Restaurant                          Spa  \n18                       Bakery             Asian Restaurant  \n19                      Brewery           Italian Restaurant  \n20                          Bar           Seafood Restaurant  \n21           Italian Restaurant                Deli / Bodega  \n23         Ethiopian Restaurant            Electronics Store  \n25            French Restaurant           Italian Restaurant  \n26           Mexican Restaurant                  Gaming Cafe  \n29             Asian Restaurant                   Steakhouse  \n30                   Restaurant            Convenience Store  \n31                          Bar                         Pool  \n32                       Bakery        Vietnamese Restaurant  \n33                      Stadium                          Bar  \n34                    Speakeasy                          Bar  \n35                   Restaurant           Italian Restaurant  \n36                        Diner                          Bar  \n37                   Skate Park                   Smoke Shop  "
          },
          "metadata": {}
        }
      ]
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "#Examine cluster 1\ntoronto_merged.loc[toronto_merged['Cluster Labels'] == 1, toronto_merged.columns[[1] + list(range(5, toronto_merged.shape[1]))]]",
      "execution_count": 35,
      "outputs": [
        {
          "output_type": "execute_result",
          "execution_count": 35,
          "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>24</th>\n      <td>Central Toronto</td>\n      <td>1</td>\n      <td>Sandwich Place</td>\n      <td>Café</td>\n      <td>Coffee Shop</td>\n      <td>Pizza Place</td>\n      <td>History Museum</td>\n      <td>Indian Restaurant</td>\n      <td>Burger Joint</td>\n      <td>BBQ Joint</td>\n      <td>American Restaurant</td>\n      <td>Martial Arts Dojo</td>\n    </tr>\n  </tbody>\n</table>\n</div>",
            "text/plain": "            Borough  Cluster Labels 1st Most Common Venue  \\\n24  Central Toronto               1        Sandwich Place   \n\n   2nd Most Common Venue 3rd Most Common Venue 4th Most Common Venue  \\\n24                  Café           Coffee Shop           Pizza Place   \n\n   5th Most Common Venue 6th Most Common Venue 7th Most Common Venue  \\\n24        History Museum     Indian Restaurant          Burger Joint   \n\n   8th Most Common Venue 9th Most Common Venue 10th Most Common Venue  \n24             BBQ Joint   American Restaurant      Martial Arts Dojo  "
          },
          "metadata": {}
        }
      ]
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "#Examine cluster 2\ntoronto_merged.loc[toronto_merged['Cluster Labels'] == 2, toronto_merged.columns[[1] + list(range(5, toronto_merged.shape[1]))]]",
      "execution_count": 36,
      "outputs": [
        {
          "output_type": "execute_result",
          "execution_count": 36,
          "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>28</th>\n      <td>Downtown Toronto</td>\n      <td>2</td>\n      <td>Coffee Shop</td>\n      <td>Restaurant</td>\n      <td>Café</td>\n      <td>Pub</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>Art Gallery</td>\n    </tr>\n  </tbody>\n</table>\n</div>",
            "text/plain": "             Borough  Cluster Labels 1st Most Common Venue  \\\n28  Downtown Toronto               2           Coffee Shop   \n\n   2nd Most Common Venue 3rd Most Common Venue 4th Most Common Venue  \\\n28            Restaurant                  Café                   Pub   \n\n   5th Most Common Venue 6th Most Common Venue 7th Most Common Venue  \\\n28    Seafood Restaurant              Beer Bar          Cocktail Bar   \n\n   8th Most Common Venue 9th Most Common Venue 10th Most Common Venue  \n28                 Hotel    Italian Restaurant            Art Gallery  "
          },
          "metadata": {}
        }
      ]
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "# Count the number of neighborhoods per cluster\ntoronto_merged.groupby('Cluster Labels').count()['Neighborhood']",
      "execution_count": 37,
      "outputs": [
        {
          "output_type": "execute_result",
          "execution_count": 37,
          "data": {
            "text/plain": "Cluster Labels\n0    34\n1     1\n2     1\n3     1\n4     1\nName: Neighborhood, dtype: int64"
          },
          "metadata": {}
        }
      ]
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "",
      "execution_count": null,
      "outputs": []
    }
  ],
  "metadata": {
    "kernelspec": {
      "name": "python36",
      "display_name": "Python 3.6",
      "language": "python"
    },
    "language_info": {
      "mimetype": "text/x-python",
      "nbconvert_exporter": "python",
      "name": "python",
      "pygments_lexer": "ipython3",
      "version": "3.6.6",
      "file_extension": ".py",
      "codemirror_mode": {
        "version": 3,
        "name": "ipython"
      }
    }
  },
  "nbformat": 4,
  "nbformat_minor": 2
}