Toronto Neighbourhoods.ipynb

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  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Toronto Neighbourhoods\n",
    "### This notebook will be used to explore, segment, and cluster the neighborhoods in the city of Toronto"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 1. Creating the Dataframe\n",
    "------------------------------------------------------------------------\n",
    "<b>Importing libraries and scraping wikipedia for postalcode table</b>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "import requests\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "\n",
    "website_url = requests.get('https://en.wikipedia.org/wiki/List_of_postal_codes_of_Canada:_M').text\n",
    "\n",
    "from bs4 import BeautifulSoup\n",
    "soup = BeautifulSoup(website_url,'lxml')\n",
    "\n",
    "scrape_table = soup.find('table',{'class':'wikitable sortable'})\n",
    "# scrape_table"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<b>Converting scraped table to dataframe and ignoring cells with a borough that is Not assigned</b>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_scraped = pd.read_html(str(scrape_table))\n",
    "df_scraped = df_scraped[0].dropna(axis=0)\n",
    "df_scraped = df_scraped[~df_scraped['Borough'].isin(['Not assigned'])]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- <b>Combining rows with common postal code and separating by comma</b>\n",
    "<br>\n",
    "- <b>If neighbourhood is not assigned, using Borough value as neighbourhood</b>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Postcode</th>\n",
       "      <th>Borough</th>\n",
       "      <th>Neighbourhood</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>M3A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Parkwoods</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>M4A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Victoria Village</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>M5A</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Harbourfront, Regent Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>M6A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Lawrence Heights, Lawrence Manor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>M7A</td>\n",
       "      <td>Queen's Park</td>\n",
       "      <td>Queen's Park</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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      "text/plain": [
       "  Postcode           Borough                     Neighbourhood\n",
       "0      M3A        North York                         Parkwoods\n",
       "1      M4A        North York                  Victoria Village\n",
       "2      M5A  Downtown Toronto         Harbourfront, Regent Park\n",
       "3      M6A        North York  Lawrence Heights, Lawrence Manor\n",
       "4      M7A      Queen's Park                      Queen's Park"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_comma = df_scraped.groupby(['Postcode','Borough'], sort=False)['Neighbourhood'].apply(', '.join).reset_index()\n",
    "# df_comma\n",
    "df_comma['Neighbourhood'] = np.where(df_comma.Neighbourhood == 'Not assigned', df_comma.Borough, df_comma.Neighbourhood)\n",
    "df_comma.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
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       "(103, 3)"
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     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
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   ],
   "source": [
    "df_comma.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2. Adding Geographic coordinates\n",
    "------------------------------------------------------------------------\n",
    "<b>Using CSV to get Lat/Long intel</b>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Postal Code</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>M1B</td>\n",
       "      <td>43.806686</td>\n",
       "      <td>-79.194353</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>M1C</td>\n",
       "      <td>43.784535</td>\n",
       "      <td>-79.160497</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>M1E</td>\n",
       "      <td>43.763573</td>\n",
       "      <td>-79.188711</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>M1G</td>\n",
       "      <td>43.770992</td>\n",
       "      <td>-79.216917</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>M1H</td>\n",
       "      <td>43.773136</td>\n",
       "      <td>-79.239476</td>\n",
       "    </tr>\n",
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       "  Postal Code   Latitude  Longitude\n",
       "0         M1B  43.806686 -79.194353\n",
       "1         M1C  43.784535 -79.160497\n",
       "2         M1E  43.763573 -79.188711\n",
       "3         M1G  43.770992 -79.216917\n",
       "4         M1H  43.773136 -79.239476"
      ]
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     "execution_count": 6,
     "metadata": {},
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   ],
   "source": [
    "df_coord = pd.read_csv('Geospatial_Coordinates.csv')\n",
    "df_coord.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Postcode</th>\n",
       "      <th>Borough</th>\n",
       "      <th>Neighbourhood</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>M3A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Parkwoods</td>\n",
       "      <td>43.753259</td>\n",
       "      <td>-79.329656</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>M4A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Victoria Village</td>\n",
       "      <td>43.725882</td>\n",
       "      <td>-79.315572</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>M5A</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Harbourfront, Regent Park</td>\n",
       "      <td>43.654260</td>\n",
       "      <td>-79.360636</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>M6A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Lawrence Heights, Lawrence Manor</td>\n",
       "      <td>43.718518</td>\n",
       "      <td>-79.464763</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>M7A</td>\n",
       "      <td>Queen's Park</td>\n",
       "      <td>Queen's Park</td>\n",
       "      <td>43.662301</td>\n",
       "      <td>-79.389494</td>\n",
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       "  Postcode           Borough                     Neighbourhood   Latitude  \\\n",
       "0      M3A        North York                         Parkwoods  43.753259   \n",
       "1      M4A        North York                  Victoria Village  43.725882   \n",
       "2      M5A  Downtown Toronto         Harbourfront, Regent Park  43.654260   \n",
       "3      M6A        North York  Lawrence Heights, Lawrence Manor  43.718518   \n",
       "4      M7A      Queen's Park                      Queen's Park  43.662301   \n",
       "\n",
       "   Longitude  \n",
       "0 -79.329656  \n",
       "1 -79.315572  \n",
       "2 -79.360636  \n",
       "3 -79.464763  \n",
       "4 -79.389494  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
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   ],
   "source": [
    "df_comma_coord = df_comma.merge(df_coord, how='inner', left_on='Postcode', right_on='Postal Code')\n",
    "df_comma_coord.drop(['Postal Code'], axis=1, inplace=True)\n",
    "df_comma_coord.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 3. Generating maps and visualizing neighborhoods\n",
    "------------------------------------------------------------------------\n",
    "<b>Using the Boroughs that contain Toronto</b>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "toronto_data = df_comma_coord[df_comma_coord['Borough'].str.contains('Toronto')].reset_index(drop=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
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            var html_05bd524e92494cf0a140df94751fce9e = $(`<div id="html_05bd524e92494cf0a140df94751fce9e" style="width: 100.0%; height: 100.0%;">Davisville</div>`)[0];
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            var html_f0016ce8a490450282eca302498ffc6f = $(`<div id="html_f0016ce8a490450282eca302498ffc6f" style="width: 100.0%; height: 100.0%;">Runnymede, Swansea</div>`)[0];
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        ;

        
    
    
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            var html_6ed44642f7d84215b96d1e502908642f = $(`<div id="html_6ed44642f7d84215b96d1e502908642f" style="width: 100.0%; height: 100.0%;">Deer Park, Forest Hill SE, Rathnelly, South Hill, Summerhill West</div>`)[0];
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        ;

        
    
    
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                [43.6289467, -79.3944199],
                {"bubblingMouseEvents": true, "color": "blue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#3186cc", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_8d0ee42a648b49ea8d5c8b16cce333c6);
        
    
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        ;

        
    
    
            var circle_marker_f2f08bf31ce14541bc3864ddc46b870d = L.circleMarker(
                [43.6795626, -79.37752940000001],
                {"bubblingMouseEvents": true, "color": "blue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#3186cc", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
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        circle_marker_f2f08bf31ce14541bc3864ddc46b870d.bindPopup(popup_34332afc041240fab08f3e9fa9f526a5)
        ;

        
    
    
            var circle_marker_0487915c567c4311acf206dd33efa0d1 = L.circleMarker(
                [43.6464352, -79.37484599999999],
                {"bubblingMouseEvents": true, "color": "blue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#3186cc", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_8d0ee42a648b49ea8d5c8b16cce333c6);
        
    
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            popup_470aebc6f21f42509aef13a29b1fe333.setContent(html_42f050a7990547dbb19290a8b713f60b);
        

        circle_marker_0487915c567c4311acf206dd33efa0d1.bindPopup(popup_470aebc6f21f42509aef13a29b1fe333)
        ;

        
    
    
            var circle_marker_d0b73766d12b4b968636f393f8bc6166 = L.circleMarker(
                [43.667967, -79.3676753],
                {"bubblingMouseEvents": true, "color": "blue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#3186cc", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_8d0ee42a648b49ea8d5c8b16cce333c6);
        
    
        var popup_2f687c09783f49dbb54c7a42830dd516 = L.popup({"maxWidth": "100%"});

        
            var html_2cfaaba2059240be9775f8bf9b2d84c2 = $(`<div id="html_2cfaaba2059240be9775f8bf9b2d84c2" style="width: 100.0%; height: 100.0%;">Cabbagetown, St. James Town</div>`)[0];
            popup_2f687c09783f49dbb54c7a42830dd516.setContent(html_2cfaaba2059240be9775f8bf9b2d84c2);
        

        circle_marker_d0b73766d12b4b968636f393f8bc6166.bindPopup(popup_2f687c09783f49dbb54c7a42830dd516)
        ;

        
    
    
            var circle_marker_fd8360a0ed924e33937b88fc0a4db39b = L.circleMarker(
                [43.6484292, -79.3822802],
                {"bubblingMouseEvents": true, "color": "blue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#3186cc", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_8d0ee42a648b49ea8d5c8b16cce333c6);
        
    
        var popup_88f6ceb3e84f4268aaa513f6ac03bfe5 = L.popup({"maxWidth": "100%"});

        
            var html_d323d1d0bc9c4af0bafaae672aeeb192 = $(`<div id="html_d323d1d0bc9c4af0bafaae672aeeb192" style="width: 100.0%; height: 100.0%;">First Canadian Place, Underground city</div>`)[0];
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        ;

        
    
    
            var circle_marker_970aba137eb54927b8bf1dd1d4fad2ae = L.circleMarker(
                [43.6658599, -79.38315990000001],
                {"bubblingMouseEvents": true, "color": "blue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#3186cc", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_8d0ee42a648b49ea8d5c8b16cce333c6);
        
    
        var popup_e7ff9bb6ae5146b99dc69474a8f9f7c2 = L.popup({"maxWidth": "100%"});

        
            var html_220bb621bd0246c1b30a966ef8e54f56 = $(`<div id="html_220bb621bd0246c1b30a966ef8e54f56" style="width: 100.0%; height: 100.0%;">Church and Wellesley</div>`)[0];
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        ;

        
    
    
            var circle_marker_02fc267204534132bbfa9fcb3c092ad3 = L.circleMarker(
                [43.6627439, -79.321558],
                {"bubblingMouseEvents": true, "color": "blue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#3186cc", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_8d0ee42a648b49ea8d5c8b16cce333c6);
        
    
        var popup_61db63fce24848c48807888414750c55 = L.popup({"maxWidth": "100%"});

        
            var html_799eccd58d8b424e98d0b59e12c930b6 = $(`<div id="html_799eccd58d8b424e98d0b59e12c930b6" style="width: 100.0%; height: 100.0%;">Business Reply Mail Processing Centre 969 Eastern</div>`)[0];
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        ;

        
    
</script>\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
      ],
      "text/plain": [
       "<folium.folium.Map at 0x24dfe372c18>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import folium\n",
    "\n",
    "map_Toronto = folium.Map(location=[43.6532, -79.3832], zoom_start=11)\n",
    "\n",
    "# add markers to map\n",
    "for lat, lng, label in zip(toronto_data['Latitude'], toronto_data['Longitude'], toronto_data['Neighbourhood']):\n",
    "    label = folium.Popup(label, parse_html=True)\n",
    "    folium.CircleMarker(\n",
    "        [lat, lng],\n",
    "        radius=5,\n",
    "        popup=label,\n",
    "        color='blue',\n",
    "        fill=True,\n",
    "        fill_color='#3186cc',\n",
    "        fill_opacity=0.7,\n",
    "        parse_html=False).add_to(map_Toronto)  \n",
    "    \n",
    "map_Toronto "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<b>Define Foursquare Credentials and Version</b>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Your credentails:\n",
      "CLIENT_ID: YG1TKWPHECOQQWLO3ICSIAXBQLVX24ZNVC1XRADRCXCNQFLC\n",
      "CLIENT_SECRET:V0MK3UMF1MN4N3F4W1O1BDVDMAMU0LC5T4QVNANSXS5T5XUY\n"
     ]
    }
   ],
   "source": [
    "CLIENT_ID = 'YG1TKWPHECOQQWLO3ICSIAXBQLVX24ZNVC1XRADRCXCNQFLC' # your Foursquare ID\n",
    "CLIENT_SECRET = 'V0MK3UMF1MN4N3F4W1O1BDVDMAMU0LC5T4QVNANSXS5T5XUY' # your Foursquare Secret\n",
    "VERSION = '20190718' # Foursquare API version\n",
    "\n",
    "print('Your credentails:')\n",
    "print('CLIENT_ID: ' + CLIENT_ID)\n",
    "print('CLIENT_SECRET:' + CLIENT_SECRET)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Harbourfront, Regent Park'"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "toronto_data.loc[0, 'Neighbourhood']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Latitude and longitude values of Harbourfront, Regent Park are 43.6542599, -79.3606359.\n"
     ]
    }
   ],
   "source": [
    "neighborhood_latitude = toronto_data.loc[0, 'Latitude'] # neighborhood latitude value\n",
    "neighborhood_longitude = toronto_data.loc[0, 'Longitude'] # neighborhood longitude value\n",
    "\n",
    "neighborhood_name = toronto_data.loc[0, 'Neighbourhood'] # neighborhood name\n",
    "\n",
    "print('Latitude and longitude values of {} are {}, {}.'.format(neighborhood_name, \n",
    "                                                               neighborhood_latitude, \n",
    "                                                               neighborhood_longitude))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- <b>Getting the top 100 venues that are Harbourfront/Regent Park within a radius of 500 meters.</b>\n",
    "- <b>Creating the GET request URL and getting a response</b>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "LIMIT = 100 # limit of number of venues returned by Foursquare API\n",
    "radius = 500 # define radius\n",
    "# create 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",
    "    neighborhood_latitude, \n",
    "    neighborhood_longitude, \n",
    "    radius, \n",
    "    LIMIT)\n",
    "url # display URL\n",
    "results = requests.get(url).json()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "# function that extracts the category of the venue\n",
    "def get_category_type(row):\n",
    "    try:\n",
    "        categories_list = row['categories']\n",
    "    except:\n",
    "        categories_list = row['venue.categories']\n",
    "        \n",
    "    if len(categories_list) == 0:\n",
    "        return None\n",
    "    else:\n",
    "        return categories_list[0]['name']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<b>JSON cleanup and converting it into pandas dataframe.</b>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>name</th>\n",
       "      <th>categories</th>\n",
       "      <th>lat</th>\n",
       "      <th>lng</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Roselle Desserts</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>43.653447</td>\n",
       "      <td>-79.362017</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Tandem Coffee</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>43.653559</td>\n",
       "      <td>-79.361809</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Toronto Cooper Koo Family Cherry St YMCA Centre</td>\n",
       "      <td>Gym / Fitness Center</td>\n",
       "      <td>43.653191</td>\n",
       "      <td>-79.357947</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Body Blitz Spa East</td>\n",
       "      <td>Spa</td>\n",
       "      <td>43.654735</td>\n",
       "      <td>-79.359874</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Morning Glory Cafe</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>43.653947</td>\n",
       "      <td>-79.361149</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                              name            categories  \\\n",
       "0                                 Roselle Desserts                Bakery   \n",
       "1                                    Tandem Coffee           Coffee Shop   \n",
       "2  Toronto Cooper Koo Family Cherry St YMCA Centre  Gym / Fitness Center   \n",
       "3                              Body Blitz Spa East                   Spa   \n",
       "4                               Morning Glory Cafe        Breakfast Spot   \n",
       "\n",
       "         lat        lng  \n",
       "0  43.653447 -79.362017  \n",
       "1  43.653559 -79.361809  \n",
       "2  43.653191 -79.357947  \n",
       "3  43.654735 -79.359874  \n",
       "4  43.653947 -79.361149  "
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from pandas.io.json import json_normalize\n",
    "\n",
    "venues = results['response']['groups'][0]['items']\n",
    "    \n",
    "nearby_venues = json_normalize(venues) # flatten JSON\n",
    "\n",
    "# filter columns\n",
    "filtered_columns = ['venue.name', 'venue.categories', 'venue.location.lat', 'venue.location.lng']\n",
    "nearby_venues =nearby_venues.loc[:, filtered_columns]\n",
    "\n",
    "# filter the category for each row\n",
    "nearby_venues['venue.categories'] = nearby_venues.apply(get_category_type, axis=1)\n",
    "\n",
    "# clean columns\n",
    "nearby_venues.columns = [col.split(\".\")[-1] for col in nearby_venues.columns]\n",
    "\n",
    "nearby_venues.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "50 venues were returned by Foursquare.\n"
     ]
    }
   ],
   "source": [
    "print('{} venues were returned by Foursquare.'.format(nearby_venues.shape[0]))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "------------------------------\n",
    "### Exploring Neighborhoods in Toronto\n",
    "------------------------------"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "#creating a function for api calling\n",
    "def getNearbyVenues(names, latitudes, longitudes, radius=500):\n",
    "    \n",
    "    venues_list=[]\n",
    "    for name, lat, lng in zip(names, latitudes, longitudes):\n",
    "        print(name)\n",
    "            \n",
    "        # create the API request URL\n",
    "        url = 'https://api.foursquare.com/v2/venues/explore?&client_id={}&client_secret={}&v={}&ll={},{}&radius={}&limit={}'.format(\n",
    "            CLIENT_ID, \n",
    "            CLIENT_SECRET, \n",
    "            VERSION, \n",
    "            lat, \n",
    "            lng, \n",
    "            radius, \n",
    "            LIMIT)\n",
    "            \n",
    "        # make the GET request\n",
    "        results = requests.get(url).json()[\"response\"]['groups'][0]['items']\n",
    "        \n",
    "        # return only relevant information for each nearby venue\n",
    "        venues_list.append([(\n",
    "            name, \n",
    "            lat, \n",
    "            lng, \n",
    "            v['venue']['name'], \n",
    "            v['venue']['location']['lat'], \n",
    "            v['venue']['location']['lng'],  \n",
    "            v['venue']['categories'][0]['name']) for v in results])\n",
    "\n",
    "    nearby_venues = pd.DataFrame([item for venue_list in venues_list for item in venue_list])\n",
    "    nearby_venues.columns = ['Neighborhood', \n",
    "                  'Neighborhood Latitude', \n",
    "                  'Neighborhood Longitude', \n",
    "                  'Venue', \n",
    "                  'Venue Latitude', \n",
    "                  'Venue Longitude', \n",
    "                  'Venue Category']\n",
    "    \n",
    "    return(nearby_venues)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<b>Getting nearby venues and creating dataframe</b>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Harbourfront, Regent Park\n",
      "Ryerson, Garden District\n",
      "St. James Town\n",
      "The Beaches\n",
      "Berczy Park\n",
      "Central Bay Street\n",
      "Christie\n",
      "Adelaide, King, Richmond\n",
      "Dovercourt Village, Dufferin\n",
      "Harbourfront East, Toronto Islands, Union Station\n",
      "Little Portugal, Trinity\n",
      "The Danforth West, Riverdale\n",
      "Design Exchange, Toronto Dominion Centre\n",
      "Brockton, Exhibition Place, Parkdale Village\n",
      "The Beaches West, India Bazaar\n",
      "Commerce Court, Victoria Hotel\n",
      "Studio District\n",
      "Lawrence Park\n",
      "Roselawn\n",
      "Davisville North\n",
      "Forest Hill North, Forest Hill West\n",
      "High Park, The Junction South\n",
      "North Toronto West\n",
      "The Annex, North Midtown, Yorkville\n",
      "Parkdale, Roncesvalles\n",
      "Davisville\n",
      "Harbord, University of Toronto\n",
      "Runnymede, Swansea\n",
      "Moore Park, Summerhill East\n",
      "Chinatown, Grange Park, Kensington Market\n",
      "Deer Park, Forest Hill SE, Rathnelly, South Hill, Summerhill West\n",
      "CN Tower, Bathurst Quay, Island airport, Harbourfront West, King and Spadina, Railway Lands, South Niagara\n",
      "Rosedale\n",
      "Stn A PO Boxes 25 The Esplanade\n",
      "Cabbagetown, St. James Town\n",
      "First Canadian Place, Underground city\n",
      "Church and Wellesley\n",
      "Business Reply Mail Processing Centre 969 Eastern\n"
     ]
    }
   ],
   "source": [
    "toronto_venues = getNearbyVenues(names=toronto_data['Neighbourhood'], latitudes=toronto_data['Latitude'], longitudes=toronto_data['Longitude'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(1702, 7)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Neighborhood</th>\n",
       "      <th>Neighborhood Latitude</th>\n",
       "      <th>Neighborhood Longitude</th>\n",
       "      <th>Venue</th>\n",
       "      <th>Venue Latitude</th>\n",
       "      <th>Venue Longitude</th>\n",
       "      <th>Venue Category</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Harbourfront, Regent Park</td>\n",
       "      <td>43.65426</td>\n",
       "      <td>-79.360636</td>\n",
       "      <td>Roselle Desserts</td>\n",
       "      <td>43.653447</td>\n",
       "      <td>-79.362017</td>\n",
       "      <td>Bakery</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Harbourfront, Regent Park</td>\n",
       "      <td>43.65426</td>\n",
       "      <td>-79.360636</td>\n",
       "      <td>Tandem Coffee</td>\n",
       "      <td>43.653559</td>\n",
       "      <td>-79.361809</td>\n",
       "      <td>Coffee Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Harbourfront, Regent Park</td>\n",
       "      <td>43.65426</td>\n",
       "      <td>-79.360636</td>\n",
       "      <td>Toronto Cooper Koo Family Cherry St YMCA Centre</td>\n",
       "      <td>43.653191</td>\n",
       "      <td>-79.357947</td>\n",
       "      <td>Gym / Fitness Center</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Harbourfront, Regent Park</td>\n",
       "      <td>43.65426</td>\n",
       "      <td>-79.360636</td>\n",
       "      <td>Body Blitz Spa East</td>\n",
       "      <td>43.654735</td>\n",
       "      <td>-79.359874</td>\n",
       "      <td>Spa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Harbourfront, Regent Park</td>\n",
       "      <td>43.65426</td>\n",
       "      <td>-79.360636</td>\n",
       "      <td>Morning Glory Cafe</td>\n",
       "      <td>43.653947</td>\n",
       "      <td>-79.361149</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                Neighborhood  Neighborhood Latitude  Neighborhood Longitude  \\\n",
       "0  Harbourfront, Regent Park               43.65426              -79.360636   \n",
       "1  Harbourfront, Regent Park               43.65426              -79.360636   \n",
       "2  Harbourfront, Regent Park               43.65426              -79.360636   \n",
       "3  Harbourfront, Regent Park               43.65426              -79.360636   \n",
       "4  Harbourfront, Regent Park               43.65426              -79.360636   \n",
       "\n",
       "                                             Venue  Venue Latitude  \\\n",
       "0                                 Roselle Desserts       43.653447   \n",
       "1                                    Tandem Coffee       43.653559   \n",
       "2  Toronto Cooper Koo Family Cherry St YMCA Centre       43.653191   \n",
       "3                              Body Blitz Spa East       43.654735   \n",
       "4                               Morning Glory Cafe       43.653947   \n",
       "\n",
       "   Venue Longitude        Venue Category  \n",
       "0       -79.362017                Bakery  \n",
       "1       -79.361809           Coffee Shop  \n",
       "2       -79.357947  Gym / Fitness Center  \n",
       "3       -79.359874                   Spa  \n",
       "4       -79.361149        Breakfast Spot  "
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Resulting dataframe and its size\n",
    "print(toronto_venues.shape)\n",
    "toronto_venues.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Counting venues returned for each neighbourhood"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>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>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>Business Reply Mail Processing Centre 969 Eastern</th>\n",
       "      <td>17</td>\n",
       "      <td>17</td>\n",
       "      <td>17</td>\n",
       "      <td>17</td>\n",
       "      <td>17</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CN Tower, Bathurst Quay, Island airport, Harbourfront West, King and Spadina, Railway Lands, South Niagara</th>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cabbagetown, St. James Town</th>\n",
       "      <td>45</td>\n",
       "      <td>45</td>\n",
       "      <td>45</td>\n",
       "      <td>45</td>\n",
       "      <td>45</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Central Bay Street</th>\n",
       "      <td>83</td>\n",
       "      <td>83</td>\n",
       "      <td>83</td>\n",
       "      <td>83</td>\n",
       "      <td>83</td>\n",
       "      <td>83</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>85</td>\n",
       "      <td>85</td>\n",
       "      <td>85</td>\n",
       "      <td>85</td>\n",
       "      <td>85</td>\n",
       "      <td>85</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>35</td>\n",
       "      <td>35</td>\n",
       "      <td>35</td>\n",
       "      <td>35</td>\n",
       "      <td>35</td>\n",
       "      <td>35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Davisville North</th>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Deer Park, Forest Hill SE, Rathnelly, South Hill, Summerhill West</th>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Design Exchange, Toronto Dominion Centre</th>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Dovercourt Village, Dufferin</th>\n",
       "      <td>19</td>\n",
       "      <td>19</td>\n",
       "      <td>19</td>\n",
       "      <td>19</td>\n",
       "      <td>19</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>First Canadian Place, Underground city</th>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Forest Hill North, Forest Hill West</th>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Harbord, University of Toronto</th>\n",
       "      <td>35</td>\n",
       "      <td>35</td>\n",
       "      <td>35</td>\n",
       "      <td>35</td>\n",
       "      <td>35</td>\n",
       "      <td>35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Harbourfront East, Toronto Islands, Union Station</th>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Harbourfront, Regent Park</th>\n",
       "      <td>50</td>\n",
       "      <td>50</td>\n",
       "      <td>50</td>\n",
       "      <td>50</td>\n",
       "      <td>50</td>\n",
       "      <td>50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>High Park, The Junction South</th>\n",
       "      <td>22</td>\n",
       "      <td>22</td>\n",
       "      <td>22</td>\n",
       "      <td>22</td>\n",
       "      <td>22</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>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>65</td>\n",
       "      <td>65</td>\n",
       "      <td>65</td>\n",
       "      <td>65</td>\n",
       "      <td>65</td>\n",
       "      <td>65</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Moore Park, Summerhill East</th>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>North Toronto West</th>\n",
       "      <td>17</td>\n",
       "      <td>17</td>\n",
       "      <td>17</td>\n",
       "      <td>17</td>\n",
       "      <td>17</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Parkdale, Roncesvalles</th>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rosedale</th>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Roselawn</th>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Runnymede, Swansea</th>\n",
       "      <td>39</td>\n",
       "      <td>39</td>\n",
       "      <td>39</td>\n",
       "      <td>39</td>\n",
       "      <td>39</td>\n",
       "      <td>39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>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>24</td>\n",
       "      <td>24</td>\n",
       "      <td>24</td>\n",
       "      <td>24</td>\n",
       "      <td>24</td>\n",
       "      <td>24</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>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>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  \\\n",
       "Neighborhood                                                                \n",
       "Adelaide, King, Richmond                                              100   \n",
       "Berczy Park                                                            55   \n",
       "Brockton, Exhibition Place, Parkdale Village                           23   \n",
       "Business Reply Mail Processing Centre 969 Eastern                      17   \n",
       "CN Tower, Bathurst Quay, Island airport, Harbou...                     15   \n",
       "Cabbagetown, St. James Town                                            45   \n",
       "Central Bay Street                                                     83   \n",
       "Chinatown, Grange Park, Kensington Market                             100   \n",
       "Christie                                                               16   \n",
       "Church and Wellesley                                                   85   \n",
       "Commerce Court, Victoria Hotel                                        100   \n",
       "Davisville                                                             35   \n",
       "Davisville North                                                        7   \n",
       "Deer Park, Forest Hill SE, Rathnelly, South Hil...                     15   \n",
       "Design Exchange, Toronto Dominion Centre                              100   \n",
       "Dovercourt Village, Dufferin                                           19   \n",
       "First Canadian Place, Underground city                                100   \n",
       "Forest Hill North, Forest Hill West                                     4   \n",
       "Harbord, University of Toronto                                         35   \n",
       "Harbourfront East, Toronto Islands, Union Station                     100   \n",
       "Harbourfront, Regent Park                                              50   \n",
       "High Park, The Junction South                                          22   \n",
       "Lawrence Park                                                           4   \n",
       "Little Portugal, Trinity                                               65   \n",
       "Moore Park, Summerhill East                                             3   \n",
       "North Toronto West                                                     17   \n",
       "Parkdale, Roncesvalles                                                 15   \n",
       "Rosedale                                                                5   \n",
       "Roselawn                                                                2   \n",
       "Runnymede, Swansea                                                     39   \n",
       "Ryerson, Garden District                                              100   \n",
       "St. James Town                                                        100   \n",
       "Stn A PO Boxes 25 The Esplanade                                        94   \n",
       "Studio District                                                        41   \n",
       "The Annex, North Midtown, Yorkville                                    24   \n",
       "The Beaches                                                             4   \n",
       "The Beaches West, India Bazaar                                         21   \n",
       "The Danforth West, Riverdale                                           42   \n",
       "\n",
       "                                                    Neighborhood Longitude  \\\n",
       "Neighborhood                                                                 \n",
       "Adelaide, King, Richmond                                               100   \n",
       "Berczy Park                                                             55   \n",
       "Brockton, Exhibition Place, Parkdale Village                            23   \n",
       "Business Reply Mail Processing Centre 969 Eastern                       17   \n",
       "CN Tower, Bathurst Quay, Island airport, Harbou...                      15   \n",
       "Cabbagetown, St. James Town                                             45   \n",
       "Central Bay Street                                                      83   \n",
       "Chinatown, Grange Park, Kensington Market                              100   \n",
       "Christie                                                                16   \n",
       "Church and Wellesley                                                    85   \n",
       "Commerce Court, Victoria Hotel                                         100   \n",
       "Davisville                                                              35   \n",
       "Davisville North                                                         7   \n",
       "Deer Park, Forest Hill SE, Rathnelly, South Hil...                      15   \n",
       "Design Exchange, Toronto Dominion Centre                               100   \n",
       "Dovercourt Village, Dufferin                                            19   \n",
       "First Canadian Place, Underground city                                 100   \n",
       "Forest Hill North, Forest Hill West                                      4   \n",
       "Harbord, University of Toronto                                          35   \n",
       "Harbourfront East, Toronto Islands, Union Station                      100   \n",
       "Harbourfront, Regent Park                                               50   \n",
       "High Park, The Junction South                                           22   \n",
       "Lawrence Park                                                            4   \n",
       "Little Portugal, Trinity                                                65   \n",
       "Moore Park, Summerhill East                                              3   \n",
       "North Toronto West                                                      17   \n",
       "Parkdale, Roncesvalles                                                  15   \n",
       "Rosedale                                                                 5   \n",
       "Roselawn                                                                 2   \n",
       "Runnymede, Swansea                                                      39   \n",
       "Ryerson, Garden District                                               100   \n",
       "St. James Town                                                         100   \n",
       "Stn A PO Boxes 25 The Esplanade                                         94   \n",
       "Studio District                                                         41   \n",
       "The Annex, North Midtown, Yorkville                                     24   \n",
       "The Beaches                                                              4   \n",
       "The Beaches West, India Bazaar                                          21   \n",
       "The Danforth West, Riverdale                                            42   \n",
       "\n",
       "                                                    Venue  Venue Latitude  \\\n",
       "Neighborhood                                                                \n",
       "Adelaide, King, Richmond                              100             100   \n",
       "Berczy Park                                            55              55   \n",
       "Brockton, Exhibition Place, Parkdale Village           23              23   \n",
       "Business Reply Mail Processing Centre 969 Eastern      17              17   \n",
       "CN Tower, Bathurst Quay, Island airport, Harbou...     15              15   \n",
       "Cabbagetown, St. James Town                            45              45   \n",
       "Central Bay Street                                     83              83   \n",
       "Chinatown, Grange Park, Kensington Market             100             100   \n",
       "Christie                                               16              16   \n",
       "Church and Wellesley                                   85              85   \n",
       "Commerce Court, Victoria Hotel                        100             100   \n",
       "Davisville                                             35              35   \n",
       "Davisville North                                        7               7   \n",
       "Deer Park, Forest Hill SE, Rathnelly, South Hil...     15              15   \n",
       "Design Exchange, Toronto Dominion Centre              100             100   \n",
       "Dovercourt Village, Dufferin                           19              19   \n",
       "First Canadian Place, Underground city                100             100   \n",
       "Forest Hill North, Forest Hill West                     4               4   \n",
       "Harbord, University of Toronto                         35              35   \n",
       "Harbourfront East, Toronto Islands, Union Station     100             100   \n",
       "Harbourfront, Regent Park                              50              50   \n",
       "High Park, The Junction South                          22              22   \n",
       "Lawrence Park                                           4               4   \n",
       "Little Portugal, Trinity                               65              65   \n",
       "Moore Park, Summerhill East                             3               3   \n",
       "North Toronto West                                     17              17   \n",
       "Parkdale, Roncesvalles                                 15              15   \n",
       "Rosedale                                                5               5   \n",
       "Roselawn                                                2               2   \n",
       "Runnymede, Swansea                                     39              39   \n",
       "Ryerson, Garden District                              100             100   \n",
       "St. James Town                                        100             100   \n",
       "Stn A PO Boxes 25 The Esplanade                        94              94   \n",
       "Studio District                                        41              41   \n",
       "The Annex, North Midtown, Yorkville                    24              24   \n",
       "The Beaches                                             4               4   \n",
       "The Beaches West, India Bazaar                         21              21   \n",
       "The Danforth West, Riverdale                           42              42   \n",
       "\n",
       "                                                    Venue Longitude  \\\n",
       "Neighborhood                                                          \n",
       "Adelaide, King, Richmond                                        100   \n",
       "Berczy Park                                                      55   \n",
       "Brockton, Exhibition Place, Parkdale Village                     23   \n",
       "Business Reply Mail Processing Centre 969 Eastern                17   \n",
       "CN Tower, Bathurst Quay, Island airport, Harbou...               15   \n",
       "Cabbagetown, St. James Town                                      45   \n",
       "Central Bay Street                                               83   \n",
       "Chinatown, Grange Park, Kensington Market                       100   \n",
       "Christie                                                         16   \n",
       "Church and Wellesley                                             85   \n",
       "Commerce Court, Victoria Hotel                                  100   \n",
       "Davisville                                                       35   \n",
       "Davisville North                                                  7   \n",
       "Deer Park, Forest Hill SE, Rathnelly, South Hil...               15   \n",
       "Design Exchange, Toronto Dominion Centre                        100   \n",
       "Dovercourt Village, Dufferin                                     19   \n",
       "First Canadian Place, Underground city                          100   \n",
       "Forest Hill North, Forest Hill West                               4   \n",
       "Harbord, University of Toronto                                   35   \n",
       "Harbourfront East, Toronto Islands, Union Station               100   \n",
       "Harbourfront, Regent Park                                        50   \n",
       "High Park, The Junction South                                    22   \n",
       "Lawrence Park                                                     4   \n",
       "Little Portugal, Trinity                                         65   \n",
       "Moore Park, Summerhill East                                       3   \n",
       "North Toronto West                                               17   \n",
       "Parkdale, Roncesvalles                                           15   \n",
       "Rosedale                                                          5   \n",
       "Roselawn                                                          2   \n",
       "Runnymede, Swansea                                               39   \n",
       "Ryerson, Garden District                                        100   \n",
       "St. James Town                                                  100   \n",
       "Stn A PO Boxes 25 The Esplanade                                  94   \n",
       "Studio District                                                  41   \n",
       "The Annex, North Midtown, Yorkville                              24   \n",
       "The Beaches                                                       4   \n",
       "The Beaches West, India Bazaar                                   21   \n",
       "The Danforth West, Riverdale                                     42   \n",
       "\n",
       "                                                    Venue Category  \n",
       "Neighborhood                                                        \n",
       "Adelaide, King, Richmond                                       100  \n",
       "Berczy Park                                                     55  \n",
       "Brockton, Exhibition Place, Parkdale Village                    23  \n",
       "Business Reply Mail Processing Centre 969 Eastern               17  \n",
       "CN Tower, Bathurst Quay, Island airport, Harbou...              15  \n",
       "Cabbagetown, St. James Town                                     45  \n",
       "Central Bay Street                                              83  \n",
       "Chinatown, Grange Park, Kensington Market                      100  \n",
       "Christie                                                        16  \n",
       "Church and Wellesley                                            85  \n",
       "Commerce Court, Victoria Hotel                                 100  \n",
       "Davisville                                                      35  \n",
       "Davisville North                                                 7  \n",
       "Deer Park, Forest Hill SE, Rathnelly, South Hil...              15  \n",
       "Design Exchange, Toronto Dominion Centre                       100  \n",
       "Dovercourt Village, Dufferin                                    19  \n",
       "First Canadian Place, Underground city                         100  \n",
       "Forest Hill North, Forest Hill West                              4  \n",
       "Harbord, University of Toronto                                  35  \n",
       "Harbourfront East, Toronto Islands, Union Station              100  \n",
       "Harbourfront, Regent Park                                       50  \n",
       "High Park, The Junction South                                   22  \n",
       "Lawrence Park                                                    4  \n",
       "Little Portugal, Trinity                                        65  \n",
       "Moore Park, Summerhill East                                      3  \n",
       "North Toronto West                                              17  \n",
       "Parkdale, Roncesvalles                                          15  \n",
       "Rosedale                                                         5  \n",
       "Roselawn                                                         2  \n",
       "Runnymede, Swansea                                              39  \n",
       "Ryerson, Garden District                                       100  \n",
       "St. James Town                                                 100  \n",
       "Stn A PO Boxes 25 The Esplanade                                 94  \n",
       "Studio District                                                 41  \n",
       "The Annex, North Midtown, Yorkville                             24  \n",
       "The Beaches                                                      4  \n",
       "The Beaches West, India Bazaar                                  21  \n",
       "The Danforth West, Riverdale                                    42  "
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "toronto_venues.groupby('Neighborhood').count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "<b>Getting nearby venues and creating dataframe</b>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
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       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Yoga Studio</th>\n",
       "      <th>Afghan Restaurant</th>\n",
       "      <th>Airport</th>\n",
       "      <th>Airport Food Court</th>\n",
       "      <th>Airport Gate</th>\n",
       "      <th>Airport Lounge</th>\n",
       "      <th>Airport Service</th>\n",
       "      <th>Airport Terminal</th>\n",
       "      <th>American Restaurant</th>\n",
       "      <th>Antique Shop</th>\n",
       "      <th>...</th>\n",
       "      <th>Theme Restaurant</th>\n",
       "      <th>Thrift / Vintage Store</th>\n",
       "      <th>Toy / Game Store</th>\n",
       "      <th>Trail</th>\n",
       "      <th>Train Station</th>\n",
       "      <th>Vegetarian / Vegan Restaurant</th>\n",
       "      <th>Video Game Store</th>\n",
       "      <th>Vietnamese Restaurant</th>\n",
       "      <th>Wine Bar</th>\n",
       "      <th>Wings Joint</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
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       "      <th>3</th>\n",
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       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 236 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   Yoga Studio  Afghan Restaurant  Airport  Airport Food Court  Airport Gate  \\\n",
       "0            0                  0        0                   0             0   \n",
       "1            0                  0        0                   0             0   \n",
       "2            0                  0        0                   0             0   \n",
       "3            0                  0        0                   0             0   \n",
       "4            0                  0        0                   0             0   \n",
       "\n",
       "   Airport Lounge  Airport Service  Airport Terminal  American Restaurant  \\\n",
       "0               0                0                 0                    0   \n",
       "1               0                0                 0                    0   \n",
       "2               0                0                 0                    0   \n",
       "3               0                0                 0                    0   \n",
       "4               0                0                 0                    0   \n",
       "\n",
       "   Antique Shop  ...  Theme Restaurant  Thrift / Vintage Store  \\\n",
       "0             0  ...                 0                       0   \n",
       "1             0  ...                 0                       0   \n",
       "2             0  ...                 0                       0   \n",
       "3             0  ...                 0                       0   \n",
       "4             0  ...                 0                       0   \n",
       "\n",
       "   Toy / Game Store  Trail  Train Station  Vegetarian / Vegan Restaurant  \\\n",
       "0                 0      0              0                              0   \n",
       "1                 0      0              0                              0   \n",
       "2                 0      0              0                              0   \n",
       "3                 0      0              0                              0   \n",
       "4                 0      0              0                              0   \n",
       "\n",
       "   Video Game Store  Vietnamese Restaurant  Wine Bar  Wings Joint  \n",
       "0                 0                      0         0            0  \n",
       "1                 0                      0         0            0  \n",
       "2                 0                      0         0            0  \n",
       "3                 0                      0         0            0  \n",
       "4                 0                      0         0            0  \n",
       "\n",
       "[5 rows x 236 columns]"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# one hot encoding\n",
    "toronto_onehot = pd.get_dummies(toronto_venues[['Venue Category']], prefix=\"\", prefix_sep=\"\")\n",
    "\n",
    "# add neighborhood column back to dataframe\n",
    "toronto_onehot['Neighborhood'] = toronto_venues['Neighborhood'] \n",
    "\n",
    "# move neighborhood column to the first column\n",
    "fixed_columns = [toronto_onehot.columns[-1]] + list(toronto_onehot.columns[:-1])\n",
    "toronto_onehot = toronto_onehot[fixed_columns]\n",
    "\n",
    "toronto_onehot.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1702, 236)"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "toronto_onehot.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<b>Grouping rows by neighborhood and by taking the mean of the frequency of occurrence of each category</b>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Neighborhood</th>\n",
       "      <th>Yoga Studio</th>\n",
       "      <th>Afghan Restaurant</th>\n",
       "      <th>Airport</th>\n",
       "      <th>Airport Food Court</th>\n",
       "      <th>Airport Gate</th>\n",
       "      <th>Airport Lounge</th>\n",
       "      <th>Airport Service</th>\n",
       "      <th>Airport Terminal</th>\n",
       "      <th>American Restaurant</th>\n",
       "      <th>...</th>\n",
       "      <th>Theme Restaurant</th>\n",
       "      <th>Thrift / Vintage Store</th>\n",
       "      <th>Toy / Game Store</th>\n",
       "      <th>Trail</th>\n",
       "      <th>Train Station</th>\n",
       "      <th>Vegetarian / Vegan Restaurant</th>\n",
       "      <th>Video Game Store</th>\n",
       "      <th>Vietnamese Restaurant</th>\n",
       "      <th>Wine Bar</th>\n",
       "      <th>Wings Joint</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Adelaide, King, Richmond</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
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       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.030000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</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",
       "    </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>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.018182</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Brockton, Exhibition Place, Parkdale Village</td>\n",
       "      <td>0.043478</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</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",
       "    </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>0.000000</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",
       "    </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>0.066667</td>\n",
       "      <td>0.066667</td>\n",
       "      <td>0.066667</td>\n",
       "      <td>0.133333</td>\n",
       "      <td>0.133333</td>\n",
       "      <td>0.133333</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</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",
       "    </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>0.022222</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Central Bay Street</td>\n",
       "      <td>0.012048</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.012048</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.012048</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.012048</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Chinatown, Grange Park, Kensington Market</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.01000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.060000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.040000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Christie</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Church and Wellesley</td>\n",
       "      <td>0.011765</td>\n",
       "      <td>0.011765</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.011765</td>\n",
       "      <td>...</td>\n",
       "      <td>0.011765</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.011765</td>\n",
       "      <td>0.011765</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.011765</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>0.040000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Davisville</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.028571</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",
       "    </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>0.000000</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",
       "    </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>0.066667</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</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>0.066667</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Design Exchange, Toronto Dominion Centre</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.030000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</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",
       "    </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>0.000000</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>First Canadian Place, Underground city</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.030000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</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",
       "    </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>0.00000</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",
       "    </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>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.028571</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Harbourfront East, Toronto Islands, Union Station</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</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",
       "    </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>0.000000</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",
       "    </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>0.000000</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",
       "    </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>0.000000</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Little Portugal, Trinity</td>\n",
       "      <td>0.015385</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</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>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.015385</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.030769</td>\n",
       "      <td>0.030769</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Moore Park, Summerhill East</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>North Toronto West</td>\n",
       "      <td>0.058824</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</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>0.058824</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",
       "    </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>0.000000</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",
       "    </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>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.20000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Roselawn</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</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",
       "    </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>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.025641</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>Ryerson, Garden District</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>St. James Town</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</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>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>Stn A PO Boxes 25 The Esplanade</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010638</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.010638</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </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>0.048780</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.02439</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",
       "    </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>0.041667</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.041667</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>The Beaches</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</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",
       "    </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>0.000000</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",
       "    </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>0.023810</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</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",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>38 rows × 236 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                         Neighborhood  Yoga Studio  \\\n",
       "0                            Adelaide, King, Richmond     0.000000   \n",
       "1                                         Berczy Park     0.000000   \n",
       "2        Brockton, Exhibition Place, Parkdale Village     0.043478   \n",
       "3   Business Reply Mail Processing Centre 969 Eastern     0.000000   \n",
       "4   CN Tower, Bathurst Quay, Island airport, Harbo...     0.000000   \n",
       "5                         Cabbagetown, St. James Town     0.000000   \n",
       "6                                  Central Bay Street     0.012048   \n",
       "7           Chinatown, Grange Park, Kensington Market     0.000000   \n",
       "8                                            Christie     0.000000   \n",
       "9                                Church and Wellesley     0.011765   \n",
       "10                     Commerce Court, Victoria Hotel     0.000000   \n",
       "11                                         Davisville     0.000000   \n",
       "12                                   Davisville North     0.000000   \n",
       "13  Deer Park, Forest Hill SE, Rathnelly, South Hi...     0.000000   \n",
       "14           Design Exchange, Toronto Dominion Centre     0.000000   \n",
       "15                       Dovercourt Village, Dufferin     0.000000   \n",
       "16             First Canadian Place, Underground city     0.000000   \n",
       "17                Forest Hill North, Forest Hill West     0.000000   \n",
       "18                     Harbord, University of Toronto     0.000000   \n",
       "19  Harbourfront East, Toronto Islands, Union Station     0.000000   \n",
       "20                          Harbourfront, Regent Park     0.000000   \n",
       "21                      High Park, The Junction South     0.000000   \n",
       "22                                      Lawrence Park     0.000000   \n",
       "23                           Little Portugal, Trinity     0.015385   \n",
       "24                        Moore Park, Summerhill East     0.000000   \n",
       "25                                 North Toronto West     0.058824   \n",
       "26                             Parkdale, Roncesvalles     0.000000   \n",
       "27                                           Rosedale     0.000000   \n",
       "28                                           Roselawn     0.000000   \n",
       "29                                 Runnymede, Swansea     0.000000   \n",
       "30                           Ryerson, Garden District     0.000000   \n",
       "31                                     St. James Town     0.000000   \n",
       "32                    Stn A PO Boxes 25 The Esplanade     0.000000   \n",
       "33                                    Studio District     0.024390   \n",
       "34                The Annex, North Midtown, Yorkville     0.000000   \n",
       "35                                        The Beaches     0.000000   \n",
       "36                     The Beaches West, India Bazaar     0.000000   \n",
       "37                       The Danforth West, Riverdale     0.023810   \n",
       "\n",
       "    Afghan Restaurant   Airport  Airport Food Court  Airport Gate  \\\n",
       "0            0.000000  0.000000            0.000000      0.000000   \n",
       "1            0.000000  0.000000            0.000000      0.000000   \n",
       "2            0.000000  0.000000            0.000000      0.000000   \n",
       "3            0.000000  0.000000            0.000000      0.000000   \n",
       "4            0.000000  0.066667            0.066667      0.066667   \n",
       "5            0.000000  0.000000            0.000000      0.000000   \n",
       "6            0.000000  0.000000            0.000000      0.000000   \n",
       "7            0.000000  0.000000            0.000000      0.000000   \n",
       "8            0.000000  0.000000            0.000000      0.000000   \n",
       "9            0.011765  0.000000            0.000000      0.000000   \n",
       "10           0.000000  0.000000            0.000000      0.000000   \n",
       "11           0.000000  0.000000            0.000000      0.000000   \n",
       "12           0.000000  0.000000            0.000000      0.000000   \n",
       "13           0.000000  0.000000            0.000000      0.000000   \n",
       "14           0.000000  0.000000            0.000000      0.000000   \n",
       "15           0.000000  0.000000            0.000000      0.000000   \n",
       "16           0.000000  0.000000            0.000000      0.000000   \n",
       "17           0.000000  0.000000            0.000000      0.000000   \n",
       "18           0.000000  0.000000            0.000000      0.000000   \n",
       "19           0.000000  0.000000            0.000000      0.000000   \n",
       "20           0.000000  0.000000            0.000000      0.000000   \n",
       "21           0.000000  0.000000            0.000000      0.000000   \n",
       "22           0.000000  0.000000            0.000000      0.000000   \n",
       "23           0.000000  0.000000            0.000000      0.000000   \n",
       "24           0.000000  0.000000            0.000000      0.000000   \n",
       "25           0.000000  0.000000            0.000000      0.000000   \n",
       "26           0.000000  0.000000            0.000000      0.000000   \n",
       "27           0.000000  0.000000            0.000000      0.000000   \n",
       "28           0.000000  0.000000            0.000000      0.000000   \n",
       "29           0.000000  0.000000            0.000000      0.000000   \n",
       "30           0.000000  0.000000            0.000000      0.000000   \n",
       "31           0.000000  0.000000            0.000000      0.000000   \n",
       "32           0.000000  0.000000            0.000000      0.000000   \n",
       "33           0.000000  0.000000            0.000000      0.000000   \n",
       "34           0.000000  0.000000            0.000000      0.000000   \n",
       "35           0.000000  0.000000            0.000000      0.000000   \n",
       "36           0.000000  0.000000            0.000000      0.000000   \n",
       "37           0.000000  0.000000            0.000000      0.000000   \n",
       "\n",
       "    Airport Lounge  Airport Service  Airport Terminal  American Restaurant  \\\n",
       "0         0.000000         0.000000          0.000000             0.030000   \n",
       "1         0.000000         0.000000          0.000000             0.000000   \n",
       "2         0.000000         0.000000          0.000000             0.000000   \n",
       "3         0.000000         0.000000          0.000000             0.000000   \n",
       "4         0.133333         0.133333          0.133333             0.000000   \n",
       "5         0.000000         0.000000          0.000000             0.022222   \n",
       "6         0.000000         0.000000          0.000000             0.012048   \n",
       "7         0.000000         0.000000          0.000000             0.000000   \n",
       "8         0.000000         0.000000          0.000000             0.000000   \n",
       "9         0.000000         0.000000          0.000000             0.011765   \n",
       "10        0.000000         0.000000          0.000000             0.040000   \n",
       "11        0.000000         0.000000          0.000000             0.000000   \n",
       "12        0.000000         0.000000          0.000000             0.000000   \n",
       "13        0.000000         0.000000          0.000000             0.066667   \n",
       "14        0.000000         0.000000          0.000000             0.030000   \n",
       "15        0.000000         0.000000          0.000000             0.000000   \n",
       "16        0.000000         0.000000          0.000000             0.030000   \n",
       "17        0.000000         0.000000          0.000000             0.000000   \n",
       "18        0.000000         0.000000          0.000000             0.000000   \n",
       "19        0.000000         0.000000          0.000000             0.000000   \n",
       "20        0.000000         0.000000          0.000000             0.000000   \n",
       "21        0.000000         0.000000          0.000000             0.000000   \n",
       "22        0.000000         0.000000          0.000000             0.000000   \n",
       "23        0.000000         0.000000          0.000000             0.000000   \n",
       "24        0.000000         0.000000          0.000000             0.000000   \n",
       "25        0.000000         0.000000          0.000000             0.000000   \n",
       "26        0.000000         0.000000          0.000000             0.000000   \n",
       "27        0.000000         0.000000          0.000000             0.000000   \n",
       "28        0.000000         0.000000          0.000000             0.000000   \n",
       "29        0.000000         0.000000          0.000000             0.000000   \n",
       "30        0.000000         0.000000          0.000000             0.010000   \n",
       "31        0.000000         0.000000          0.000000             0.020000   \n",
       "32        0.000000         0.000000          0.000000             0.010638   \n",
       "33        0.000000         0.000000          0.000000             0.048780   \n",
       "34        0.000000         0.000000          0.000000             0.041667   \n",
       "35        0.000000         0.000000          0.000000             0.000000   \n",
       "36        0.000000         0.000000          0.000000             0.000000   \n",
       "37        0.000000         0.000000          0.000000             0.023810   \n",
       "\n",
       "    ...  Theme Restaurant  Thrift / Vintage Store  Toy / Game Store    Trail  \\\n",
       "0   ...          0.000000                 0.00000          0.000000  0.00000   \n",
       "1   ...          0.000000                 0.00000          0.000000  0.00000   \n",
       "2   ...          0.000000                 0.00000          0.000000  0.00000   \n",
       "3   ...          0.000000                 0.00000          0.000000  0.00000   \n",
       "4   ...          0.000000                 0.00000          0.000000  0.00000   \n",
       "5   ...          0.000000                 0.00000          0.000000  0.00000   \n",
       "6   ...          0.000000                 0.00000          0.000000  0.00000   \n",
       "7   ...          0.000000                 0.01000          0.000000  0.00000   \n",
       "8   ...          0.000000                 0.00000          0.000000  0.00000   \n",
       "9   ...          0.011765                 0.00000          0.000000  0.00000   \n",
       "10  ...          0.000000                 0.00000          0.000000  0.00000   \n",
       "11  ...          0.000000                 0.00000          0.028571  0.00000   \n",
       "12  ...          0.000000                 0.00000          0.000000  0.00000   \n",
       "13  ...          0.000000                 0.00000          0.000000  0.00000   \n",
       "14  ...          0.000000                 0.00000          0.000000  0.00000   \n",
       "15  ...          0.000000                 0.00000          0.000000  0.00000   \n",
       "16  ...          0.000000                 0.00000          0.000000  0.00000   \n",
       "17  ...          0.000000                 0.00000          0.000000  0.25000   \n",
       "18  ...          0.000000                 0.00000          0.000000  0.00000   \n",
       "19  ...          0.000000                 0.00000          0.000000  0.00000   \n",
       "20  ...          0.000000                 0.00000          0.000000  0.00000   \n",
       "21  ...          0.000000                 0.00000          0.000000  0.00000   \n",
       "22  ...          0.000000                 0.00000          0.000000  0.00000   \n",
       "23  ...          0.000000                 0.00000          0.000000  0.00000   \n",
       "24  ...          0.000000                 0.00000          0.000000  0.00000   \n",
       "25  ...          0.000000                 0.00000          0.058824  0.00000   \n",
       "26  ...          0.000000                 0.00000          0.000000  0.00000   \n",
       "27  ...          0.000000                 0.00000          0.000000  0.20000   \n",
       "28  ...          0.000000                 0.00000          0.000000  0.00000   \n",
       "29  ...          0.000000                 0.00000          0.000000  0.00000   \n",
       "30  ...          0.000000                 0.00000          0.010000  0.00000   \n",
       "31  ...          0.000000                 0.00000          0.000000  0.00000   \n",
       "32  ...          0.000000                 0.00000          0.000000  0.00000   \n",
       "33  ...          0.000000                 0.02439          0.000000  0.00000   \n",
       "34  ...          0.000000                 0.00000          0.000000  0.00000   \n",
       "35  ...          0.000000                 0.00000          0.000000  0.25000   \n",
       "36  ...          0.000000                 0.00000          0.000000  0.00000   \n",
       "37  ...          0.000000                 0.00000          0.000000  0.02381   \n",
       "\n",
       "    Train Station  Vegetarian / Vegan Restaurant  Video Game Store  \\\n",
       "0            0.00                       0.010000          0.000000   \n",
       "1            0.00                       0.018182          0.000000   \n",
       "2            0.00                       0.000000          0.000000   \n",
       "3            0.00                       0.000000          0.000000   \n",
       "4            0.00                       0.000000          0.000000   \n",
       "5            0.00                       0.000000          0.000000   \n",
       "6            0.00                       0.012048          0.000000   \n",
       "7            0.00                       0.060000          0.000000   \n",
       "8            0.00                       0.000000          0.000000   \n",
       "9            0.00                       0.000000          0.011765   \n",
       "10           0.00                       0.020000          0.000000   \n",
       "11           0.00                       0.000000          0.000000   \n",
       "12           0.00                       0.000000          0.000000   \n",
       "13           0.00                       0.000000          0.000000   \n",
       "14           0.01                       0.010000          0.000000   \n",
       "15           0.00                       0.000000          0.000000   \n",
       "16           0.01                       0.010000          0.000000   \n",
       "17           0.00                       0.000000          0.000000   \n",
       "18           0.00                       0.000000          0.028571   \n",
       "19           0.01                       0.010000          0.000000   \n",
       "20           0.00                       0.000000          0.000000   \n",
       "21           0.00                       0.000000          0.000000   \n",
       "22           0.00                       0.000000          0.000000   \n",
       "23           0.00                       0.015385          0.000000   \n",
       "24           0.00                       0.000000          0.000000   \n",
       "25           0.00                       0.000000          0.000000   \n",
       "26           0.00                       0.000000          0.000000   \n",
       "27           0.00                       0.000000          0.000000   \n",
       "28           0.00                       0.000000          0.000000   \n",
       "29           0.00                       0.025641          0.000000   \n",
       "30           0.00                       0.010000          0.010000   \n",
       "31           0.00                       0.010000          0.000000   \n",
       "32           0.00                       0.010638          0.000000   \n",
       "33           0.00                       0.000000          0.000000   \n",
       "34           0.00                       0.041667          0.000000   \n",
       "35           0.00                       0.000000          0.000000   \n",
       "36           0.00                       0.000000          0.000000   \n",
       "37           0.00                       0.000000          0.000000   \n",
       "\n",
       "    Vietnamese Restaurant  Wine Bar  Wings Joint  \n",
       "0                0.000000  0.010000     0.000000  \n",
       "1                0.000000  0.000000     0.000000  \n",
       "2                0.000000  0.000000     0.000000  \n",
       "3                0.000000  0.000000     0.000000  \n",
       "4                0.000000  0.000000     0.000000  \n",
       "5                0.000000  0.000000     0.000000  \n",
       "6                0.000000  0.012048     0.000000  \n",
       "7                0.040000  0.010000     0.000000  \n",
       "8                0.000000  0.000000     0.000000  \n",
       "9                0.011765  0.000000     0.011765  \n",
       "10               0.000000  0.010000     0.000000  \n",
       "11               0.000000  0.000000     0.000000  \n",
       "12               0.000000  0.000000     0.000000  \n",
       "13               0.066667  0.000000     0.000000  \n",
       "14               0.000000  0.010000     0.000000  \n",
       "15               0.000000  0.000000     0.000000  \n",
       "16               0.000000  0.010000     0.000000  \n",
       "17               0.000000  0.000000     0.000000  \n",
       "18               0.000000  0.000000     0.000000  \n",
       "19               0.000000  0.010000     0.000000  \n",
       "20               0.000000  0.000000     0.000000  \n",
       "21               0.000000  0.000000     0.000000  \n",
       "22               0.000000  0.000000     0.000000  \n",
       "23               0.030769  0.030769     0.000000  \n",
       "24               0.000000  0.000000     0.000000  \n",
       "25               0.000000  0.000000     0.000000  \n",
       "26               0.000000  0.000000     0.000000  \n",
       "27               0.000000  0.000000     0.000000  \n",
       "28               0.000000  0.000000     0.000000  \n",
       "29               0.000000  0.000000     0.000000  \n",
       "30               0.010000  0.010000     0.000000  \n",
       "31               0.000000  0.000000     0.000000  \n",
       "32               0.000000  0.000000     0.000000  \n",
       "33               0.000000  0.000000     0.000000  \n",
       "34               0.000000  0.000000     0.000000  \n",
       "35               0.000000  0.000000     0.000000  \n",
       "36               0.000000  0.000000     0.000000  \n",
       "37               0.000000  0.000000     0.000000  \n",
       "\n",
       "[38 rows x 236 columns]"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "toronto_grouped = toronto_onehot.groupby('Neighborhood').mean().reset_index()\n",
    "toronto_grouped"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(38, 236)"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "toronto_grouped.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<b>Printing each neighbourhood's top 5 most common venues</b>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "----Adelaide, King, Richmond----\n",
      "             venue  freq\n",
      "0      Coffee Shop  0.07\n",
      "1             Café  0.05\n",
      "2  Thai Restaurant  0.04\n",
      "3       Steakhouse  0.04\n",
      "4              Bar  0.04\n",
      "\n",
      "\n",
      "----Berczy Park----\n",
      "                venue  freq\n",
      "0         Coffee Shop  0.11\n",
      "1        Cocktail Bar  0.05\n",
      "2            Beer Bar  0.04\n",
      "3          Steakhouse  0.04\n",
      "4  Seafood Restaurant  0.04\n",
      "\n",
      "\n",
      "----Brockton, Exhibition Place, Parkdale Village----\n",
      "                venue  freq\n",
      "0      Breakfast Spot  0.09\n",
      "1                Café  0.09\n",
      "2         Coffee Shop  0.09\n",
      "3         Yoga Studio  0.04\n",
      "4  Italian Restaurant  0.04\n",
      "\n",
      "\n",
      "----Business Reply Mail Processing Centre 969 Eastern----\n",
      "                venue  freq\n",
      "0  Light Rail Station  0.12\n",
      "1          Comic Shop  0.06\n",
      "2       Auto Workshop  0.06\n",
      "3                Park  0.06\n",
      "4          Restaurant  0.06\n",
      "\n",
      "\n",
      "----CN Tower, Bathurst Quay, Island airport, Harbourfront West, King and Spadina, Railway Lands, South Niagara----\n",
      "              venue  freq\n",
      "0    Airport Lounge  0.13\n",
      "1   Airport Service  0.13\n",
      "2  Airport Terminal  0.13\n",
      "3          Boutique  0.07\n",
      "4   Harbor / Marina  0.07\n",
      "\n",
      "\n",
      "----Cabbagetown, St. James Town----\n",
      "         venue  freq\n",
      "0  Coffee Shop  0.09\n",
      "1          Pub  0.04\n",
      "2         Café  0.04\n",
      "3  Pizza Place  0.04\n",
      "4       Bakery  0.04\n",
      "\n",
      "\n",
      "----Central Bay Street----\n",
      "                venue  freq\n",
      "0         Coffee Shop  0.14\n",
      "1                Café  0.05\n",
      "2  Italian Restaurant  0.05\n",
      "3      Ice Cream Shop  0.05\n",
      "4        Burger Joint  0.04\n",
      "\n",
      "\n",
      "----Chinatown, Grange Park, Kensington Market----\n",
      "                           venue  freq\n",
      "0                           Café  0.07\n",
      "1  Vegetarian / Vegan Restaurant  0.06\n",
      "2             Chinese Restaurant  0.05\n",
      "3             Mexican Restaurant  0.04\n",
      "4          Vietnamese Restaurant  0.04\n",
      "\n",
      "\n",
      "----Christie----\n",
      "               venue  freq\n",
      "0               Café  0.19\n",
      "1      Grocery Store  0.19\n",
      "2               Park  0.12\n",
      "3  Convenience Store  0.06\n",
      "4         Restaurant  0.06\n",
      "\n",
      "\n",
      "----Church and Wellesley----\n",
      "                 venue  freq\n",
      "0          Coffee Shop  0.07\n",
      "1  Japanese Restaurant  0.06\n",
      "2              Gay Bar  0.05\n",
      "3     Sushi Restaurant  0.05\n",
      "4           Restaurant  0.04\n",
      "\n",
      "\n",
      "----Commerce Court, Victoria Hotel----\n",
      "                 venue  freq\n",
      "0          Coffee Shop  0.10\n",
      "1                 Café  0.06\n",
      "2                Hotel  0.06\n",
      "3  American Restaurant  0.04\n",
      "4           Restaurant  0.04\n",
      "\n",
      "\n",
      "----Davisville----\n",
      "            venue  freq\n",
      "0  Sandwich Place  0.09\n",
      "1     Pizza Place  0.09\n",
      "2    Dessert Shop  0.09\n",
      "3            Café  0.06\n",
      "4      Restaurant  0.06\n",
      "\n",
      "\n",
      "----Davisville North----\n",
      "               venue  freq\n",
      "0     Sandwich Place  0.14\n",
      "1  Food & Drink Shop  0.14\n",
      "2                Gym  0.14\n",
      "3     Breakfast Spot  0.14\n",
      "4               Park  0.14\n",
      "\n",
      "\n",
      "----Deer Park, Forest Hill SE, Rathnelly, South Hill, Summerhill West----\n",
      "                 venue  freq\n",
      "0                  Pub  0.13\n",
      "1          Coffee Shop  0.13\n",
      "2  American Restaurant  0.07\n",
      "3           Bagel Shop  0.07\n",
      "4          Supermarket  0.07\n",
      "\n",
      "\n",
      "----Design Exchange, Toronto Dominion Centre----\n",
      "                venue  freq\n",
      "0         Coffee Shop  0.14\n",
      "1                Café  0.08\n",
      "2               Hotel  0.06\n",
      "3          Restaurant  0.04\n",
      "4  Italian Restaurant  0.04\n",
      "\n",
      "\n",
      "----Dovercourt Village, Dufferin----\n",
      "                  venue  freq\n",
      "0                Bakery  0.11\n",
      "1              Pharmacy  0.11\n",
      "2           Supermarket  0.11\n",
      "3  Gym / Fitness Center  0.05\n",
      "4                  Park  0.05\n",
      "\n",
      "\n",
      "----First Canadian Place, Underground city----\n",
      "         venue  freq\n",
      "0  Coffee Shop  0.09\n",
      "1         Café  0.07\n",
      "2   Restaurant  0.04\n",
      "3        Hotel  0.04\n",
      "4   Steakhouse  0.04\n",
      "\n",
      "\n",
      "----Forest Hill North, Forest Hill West----\n",
      "                venue  freq\n",
      "0               Trail  0.25\n",
      "1  Mexican Restaurant  0.25\n",
      "2       Jewelry Store  0.25\n",
      "3    Sushi Restaurant  0.25\n",
      "4         Yoga Studio  0.00\n",
      "\n",
      "\n",
      "----Harbord, University of Toronto----\n",
      "                 venue  freq\n",
      "0                 Café  0.14\n",
      "1            Bookstore  0.09\n",
      "2               Bakery  0.06\n",
      "3  Japanese Restaurant  0.06\n",
      "4                  Bar  0.06\n",
      "\n",
      "\n",
      "----Harbourfront East, Toronto Islands, Union Station----\n",
      "                venue  freq\n",
      "0         Coffee Shop  0.11\n",
      "1               Hotel  0.05\n",
      "2            Aquarium  0.05\n",
      "3  Italian Restaurant  0.04\n",
      "4                Café  0.04\n",
      "\n",
      "\n",
      "----Harbourfront, Regent Park----\n",
      "                  venue  freq\n",
      "0           Coffee Shop  0.18\n",
      "1                  Park  0.06\n",
      "2                  Café  0.06\n",
      "3                Bakery  0.06\n",
      "4  Gym / Fitness Center  0.04\n",
      "\n",
      "\n",
      "----High Park, The Junction South----\n",
      "                 venue  freq\n",
      "0                  Bar  0.09\n",
      "1   Mexican Restaurant  0.09\n",
      "2                 Café  0.09\n",
      "3            Speakeasy  0.05\n",
      "4  Arts & Crafts Store  0.05\n",
      "\n",
      "\n",
      "----Lawrence Park----\n",
      "                        venue  freq\n",
      "0  Construction & Landscaping  0.25\n",
      "1                        Park  0.25\n",
      "2                 Swim School  0.25\n",
      "3                    Bus Line  0.25\n",
      "4                 Yoga Studio  0.00\n",
      "\n",
      "\n",
      "----Little Portugal, Trinity----\n",
      "              venue  freq\n",
      "0               Bar  0.11\n",
      "1       Coffee Shop  0.06\n",
      "2  Asian Restaurant  0.05\n",
      "3      Cocktail Bar  0.03\n",
      "4       Men's Store  0.03\n",
      "\n",
      "\n",
      "----Moore Park, Summerhill East----\n",
      "              venue  freq\n",
      "0        Playground  0.33\n",
      "1              Park  0.33\n",
      "2      Tennis Court  0.33\n",
      "3            Museum  0.00\n",
      "4  Malay Restaurant  0.00\n",
      "\n",
      "\n",
      "----North Toronto West----\n",
      "                venue  freq\n",
      "0         Coffee Shop  0.12\n",
      "1      Clothing Store  0.12\n",
      "2         Yoga Studio  0.06\n",
      "3  Chinese Restaurant  0.06\n",
      "4    Toy / Game Store  0.06\n",
      "\n",
      "\n",
      "----Parkdale, Roncesvalles----\n",
      "                         venue  freq\n",
      "0               Breakfast Spot  0.13\n",
      "1                    Gift Shop  0.13\n",
      "2                   Restaurant  0.07\n",
      "3                Movie Theater  0.07\n",
      "4  Eastern European Restaurant  0.07\n",
      "\n",
      "\n",
      "----Rosedale----\n",
      "        venue  freq\n",
      "0        Park   0.4\n",
      "1  Playground   0.2\n",
      "2       Trail   0.2\n",
      "3    Building   0.2\n",
      "4      Museum   0.0\n",
      "\n",
      "\n",
      "----Roselawn----\n",
      "          venue  freq\n",
      "0  Home Service   0.5\n",
      "1        Garden   0.5\n",
      "2   Yoga Studio   0.0\n",
      "3   Music Store   0.0\n",
      "4        Market   0.0\n",
      "\n",
      "\n",
      "----Runnymede, Swansea----\n",
      "                venue  freq\n",
      "0                Café  0.08\n",
      "1         Pizza Place  0.08\n",
      "2         Coffee Shop  0.08\n",
      "3    Sushi Restaurant  0.05\n",
      "4  Italian Restaurant  0.05\n",
      "\n",
      "\n",
      "----Ryerson, Garden District----\n",
      "                       venue  freq\n",
      "0                Coffee Shop  0.08\n",
      "1             Clothing Store  0.06\n",
      "2             Cosmetics Shop  0.04\n",
      "3  Middle Eastern Restaurant  0.03\n",
      "4       Fast Food Restaurant  0.03\n",
      "\n",
      "\n",
      "----St. James Town----\n",
      "                venue  freq\n",
      "0         Coffee Shop  0.07\n",
      "1          Restaurant  0.05\n",
      "2                Café  0.05\n",
      "3               Hotel  0.05\n",
      "4  Italian Restaurant  0.04\n",
      "\n",
      "\n",
      "----Stn A PO Boxes 25 The Esplanade----\n",
      "                venue  freq\n",
      "0         Coffee Shop  0.11\n",
      "1                Café  0.04\n",
      "2          Restaurant  0.04\n",
      "3            Beer Bar  0.03\n",
      "4  Seafood Restaurant  0.03\n",
      "\n",
      "\n",
      "----Studio District----\n",
      "                 venue  freq\n",
      "0                 Café  0.10\n",
      "1          Coffee Shop  0.07\n",
      "2            Gastropub  0.05\n",
      "3  American Restaurant  0.05\n",
      "4               Bakery  0.05\n",
      "\n",
      "\n",
      "----The Annex, North Midtown, Yorkville----\n",
      "            venue  freq\n",
      "0     Coffee Shop  0.12\n",
      "1  Sandwich Place  0.12\n",
      "2            Café  0.12\n",
      "3     Pizza Place  0.08\n",
      "4       BBQ Joint  0.04\n",
      "\n",
      "\n",
      "----The Beaches----\n",
      "               venue  freq\n",
      "0  Health Food Store  0.25\n",
      "1              Trail  0.25\n",
      "2                Pub  0.25\n",
      "3        Yoga Studio  0.00\n",
      "4             Museum  0.00\n",
      "\n",
      "\n",
      "----The Beaches West, India Bazaar----\n",
      "                  venue  freq\n",
      "0                  Park  0.14\n",
      "1  Fast Food Restaurant  0.05\n",
      "2             Pet Store  0.05\n",
      "3         Movie Theater  0.05\n",
      "4      Sushi Restaurant  0.05\n",
      "\n",
      "\n",
      "----The Danforth West, Riverdale----\n",
      "                    venue  freq\n",
      "0        Greek Restaurant  0.21\n",
      "1             Coffee Shop  0.10\n",
      "2          Ice Cream Shop  0.07\n",
      "3      Italian Restaurant  0.07\n",
      "4  Furniture / Home Store  0.05\n",
      "\n",
      "\n"
     ]
    }
   ],
   "source": [
    "num_top_venues = 5\n",
    "\n",
    "for hood in toronto_grouped['Neighborhood']:\n",
    "    print(\"----\"+hood+\"----\")\n",
    "    temp = toronto_grouped[toronto_grouped['Neighborhood'] == hood].T.reset_index()\n",
    "    temp.columns = ['venue','freq']\n",
    "    temp = temp.iloc[1:]\n",
    "    temp['freq'] = temp['freq'].astype(float)\n",
    "    temp = temp.round({'freq': 2})\n",
    "    print(temp.sort_values('freq', ascending=False).reset_index(drop=True).head(num_top_venues))\n",
    "    print('\\n')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<b>Creating a new dataframe to display the top 10 venues for each neighborhood.</b>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Neighborhood</th>\n",
       "      <th>1st Most Common Venue</th>\n",
       "      <th>2nd Most Common Venue</th>\n",
       "      <th>3rd Most Common Venue</th>\n",
       "      <th>4th Most Common Venue</th>\n",
       "      <th>5th Most Common Venue</th>\n",
       "      <th>6th Most Common Venue</th>\n",
       "      <th>7th Most Common Venue</th>\n",
       "      <th>8th Most Common Venue</th>\n",
       "      <th>9th Most Common Venue</th>\n",
       "      <th>10th Most Common Venue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Adelaide, King, Richmond</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Thai Restaurant</td>\n",
       "      <td>Steakhouse</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Cosmetics Shop</td>\n",
       "      <td>Asian Restaurant</td>\n",
       "      <td>Burger Joint</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Gym</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>Farmers Market</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Beer Bar</td>\n",
       "      <td>Steakhouse</td>\n",
       "      <td>Cheese Shop</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Jazz Club</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Brockton, Exhibition Place, Parkdale Village</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Café</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Stadium</td>\n",
       "      <td>Burrito Place</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Caribbean Restaurant</td>\n",
       "      <td>Climbing Gym</td>\n",
       "      <td>Performing Arts Venue</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>Smoke Shop</td>\n",
       "      <td>Brewery</td>\n",
       "      <td>Burrito Place</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Skate Park</td>\n",
       "      <td>Auto Workshop</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Farmers Market</td>\n",
       "      <td>Spa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>CN Tower, Bathurst Quay, Island airport, Harbo...</td>\n",
       "      <td>Airport Service</td>\n",
       "      <td>Airport Terminal</td>\n",
       "      <td>Airport Lounge</td>\n",
       "      <td>Boat or Ferry</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Sculpture Garden</td>\n",
       "      <td>Boutique</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Airport Gate</td>\n",
       "      <td>Airport Food Court</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                        Neighborhood 1st Most Common Venue  \\\n",
       "0                           Adelaide, King, Richmond           Coffee Shop   \n",
       "1                                        Berczy Park           Coffee Shop   \n",
       "2       Brockton, Exhibition Place, Parkdale Village           Coffee Shop   \n",
       "3  Business Reply Mail Processing Centre 969 Eastern    Light Rail Station   \n",
       "4  CN Tower, Bathurst Quay, Island airport, Harbo...       Airport Service   \n",
       "\n",
       "  2nd Most Common Venue 3rd Most Common Venue 4th Most Common Venue  \\\n",
       "0                  Café       Thai Restaurant            Steakhouse   \n",
       "1          Cocktail Bar        Farmers Market                Bakery   \n",
       "2        Breakfast Spot                  Café           Yoga Studio   \n",
       "3            Smoke Shop               Brewery         Burrito Place   \n",
       "4      Airport Terminal        Airport Lounge         Boat or Ferry   \n",
       "\n",
       "  5th Most Common Venue 6th Most Common Venue 7th Most Common Venue  \\\n",
       "0                   Bar        Cosmetics Shop      Asian Restaurant   \n",
       "1              Beer Bar            Steakhouse           Cheese Shop   \n",
       "2               Stadium         Burrito Place            Restaurant   \n",
       "3            Restaurant            Skate Park         Auto Workshop   \n",
       "4           Coffee Shop      Sculpture Garden              Boutique   \n",
       "\n",
       "  8th Most Common Venue 9th Most Common Venue 10th Most Common Venue  \n",
       "0          Burger Joint   American Restaurant                    Gym  \n",
       "1    Seafood Restaurant                  Café              Jazz Club  \n",
       "2  Caribbean Restaurant          Climbing Gym  Performing Arts Venue  \n",
       "3  Fast Food Restaurant        Farmers Market                    Spa  \n",
       "4                   Bar          Airport Gate     Airport Food Court  "
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "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]\n",
    "\n",
    "\n",
    "num_top_venues = 10\n",
    "\n",
    "indicators = ['st', 'nd', 'rd']\n",
    "\n",
    "# create columns according to number of top venues\n",
    "columns = ['Neighborhood']\n",
    "for ind in np.arange(num_top_venues):\n",
    "    try:\n",
    "        columns.append('{}{} Most Common Venue'.format(ind+1, indicators[ind]))\n",
    "    except:\n",
    "        columns.append('{}th Most Common Venue'.format(ind+1))\n",
    "\n",
    "# create a new dataframe\n",
    "neighborhoods_venues_sorted = pd.DataFrame(columns=columns)\n",
    "neighborhoods_venues_sorted['Neighborhood'] = toronto_grouped['Neighborhood']\n",
    "\n",
    "for ind in np.arange(toronto_grouped.shape[0]):\n",
    "    neighborhoods_venues_sorted.iloc[ind, 1:] = return_most_common_venues(toronto_grouped.iloc[ind, :], num_top_venues)\n",
    "\n",
    "neighborhoods_venues_sorted.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "------------------------------\n",
    "### Running k-means to cluster the neighborhood into 2 clusters.\n",
    "------------------------------"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[ 1  1  1  8 10  1  1  1  7  1]\n",
      "38\n"
     ]
    }
   ],
   "source": [
    "from sklearn.cluster import KMeans\n",
    "\n",
    "# set number of clusters\n",
    "kclusters = 15\n",
    "\n",
    "toronto_grouped_clustering = toronto_grouped.drop('Neighborhood', 1)\n",
    "# run k-means clustering\n",
    "kmeans = KMeans(n_clusters=kclusters, random_state=1).fit(toronto_grouped_clustering)\n",
    "\n",
    "# check cluster labels generated for each row in the dataframe\n",
    "print(kmeans.labels_[0:10])\n",
    "print(len(kmeans.labels_))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Postcode</th>\n",
       "      <th>Borough</th>\n",
       "      <th>Neighbourhood</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>M5A</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Harbourfront, Regent Park</td>\n",
       "      <td>43.654260</td>\n",
       "      <td>-79.360636</td>\n",
       "      <td>1</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Park</td>\n",
       "      <td>Café</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Theater</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Gym / Fitness Center</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>M5B</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Ryerson, Garden District</td>\n",
       "      <td>43.657162</td>\n",
       "      <td>-79.378937</td>\n",
       "      <td>1</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Cosmetics Shop</td>\n",
       "      <td>Middle Eastern Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Ramen Restaurant</td>\n",
       "      <td>Bookstore</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>M5C</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>St. James Town</td>\n",
       "      <td>43.651494</td>\n",
       "      <td>-79.375418</td>\n",
       "      <td>1</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Beer Bar</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Cocktail Bar</td>\n",
       "      <td>Cosmetics Shop</td>\n",
       "      <td>Gastropub</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>M4E</td>\n",
       "      <td>East Toronto</td>\n",
       "      <td>The Beaches</td>\n",
       "      <td>43.676357</td>\n",
       "      <td>-79.293031</td>\n",
       "      <td>12</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Health Food Store</td>\n",
       "      <td>Trail</td>\n",
       "      <td>Wings Joint</td>\n",
       "      <td>Dim Sum Restaurant</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Dive Bar</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Donut Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>M5E</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Berczy Park</td>\n",
       "      <td>43.644771</td>\n",
       "      <td>-79.373306</td>\n",
       "      <td>1</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Cocktail Bar</td>\n",
       "      <td>Farmers Market</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Beer Bar</td>\n",
       "      <td>Steakhouse</td>\n",
       "      <td>Cheese Shop</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Jazz Club</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Postcode           Borough              Neighbourhood   Latitude  Longitude  \\\n",
       "0      M5A  Downtown Toronto  Harbourfront, Regent Park  43.654260 -79.360636   \n",
       "1      M5B  Downtown Toronto   Ryerson, Garden District  43.657162 -79.378937   \n",
       "2      M5C  Downtown Toronto             St. James Town  43.651494 -79.375418   \n",
       "3      M4E      East Toronto                The Beaches  43.676357 -79.293031   \n",
       "4      M5E  Downtown Toronto                Berczy Park  43.644771 -79.373306   \n",
       "\n",
       "   Cluster Labels 1st Most Common Venue 2nd Most Common Venue  \\\n",
       "0               1           Coffee Shop                  Park   \n",
       "1               1           Coffee Shop        Clothing Store   \n",
       "2               1           Coffee Shop                 Hotel   \n",
       "3              12                   Pub     Health Food Store   \n",
       "4               1           Coffee Shop          Cocktail Bar   \n",
       "\n",
       "  3rd Most Common Venue      4th Most Common Venue 5th Most Common Venue  \\\n",
       "0                  Café                     Bakery               Theater   \n",
       "1        Cosmetics Shop  Middle Eastern Restaurant                  Café   \n",
       "2            Restaurant                       Café    Italian Restaurant   \n",
       "3                 Trail                Wings Joint    Dim Sum Restaurant   \n",
       "4        Farmers Market                     Bakery              Beer Bar   \n",
       "\n",
       "  6th Most Common Venue 7th Most Common Venue 8th Most Common Venue  \\\n",
       "0    Mexican Restaurant                   Pub            Restaurant   \n",
       "1  Fast Food Restaurant                 Diner            Restaurant   \n",
       "2              Beer Bar        Breakfast Spot          Cocktail Bar   \n",
       "3                 Diner        Discount Store              Dive Bar   \n",
       "4            Steakhouse           Cheese Shop    Seafood Restaurant   \n",
       "\n",
       "  9th Most Common Venue 10th Most Common Venue  \n",
       "0        Breakfast Spot   Gym / Fitness Center  \n",
       "1      Ramen Restaurant              Bookstore  \n",
       "2        Cosmetics Shop              Gastropub  \n",
       "3               Dog Run             Donut Shop  \n",
       "4                  Café              Jazz Club  "
      ]
     },
     "execution_count": 87,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# add clustering labels\n",
    "neighborhoods_venues_sorted.drop(['Cluster Labels'], axis=1, inplace=True)\n",
    "neighborhoods_venues_sorted.insert(0, 'Cluster Labels', kmeans.labels_)\n",
    "\n",
    "toronto_merged = toronto_data\n",
    "\n",
    "# merge toronto_grouped with toronto_data to add latitude/longitude for each neighborhood\n",
    "toronto_merged = toronto_merged.join(neighborhoods_venues_sorted.set_index('Neighborhood'), on='Neighbourhood')\n",
    "\n",
    "toronto_merged.head() # check the last columns!"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<b>Visualizing clusters</b>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {},
   "outputs": [
    {
     "data": {
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        circle_marker_f687271c5a4a41afb133579ae88fd8e1.bindPopup(popup_8f36f2680d7f403e88c1730e81cd67e9)
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            ).addTo(map_16c23399baa24eeb9a6e3f26de2cdc2b);
        
    
        var popup_14d6ca39458946a4ad51d3275f4c0235 = L.popup({"maxWidth": "100%"});

        
            var html_69dabec5c9644978a544f79f2b06eebc = $(`<div id="html_69dabec5c9644978a544f79f2b06eebc" style="width: 100.0%; height: 100.0%;">First Canadian Place, Underground city Cluster 1</div>`)[0];
            popup_14d6ca39458946a4ad51d3275f4c0235.setContent(html_69dabec5c9644978a544f79f2b06eebc);
        

        circle_marker_1c5fd3abdd014d16801e653133ecc937.bindPopup(popup_14d6ca39458946a4ad51d3275f4c0235)
        ;

        
    
    
            var circle_marker_4861ac82a41a412dbc7000d4feb531a1 = L.circleMarker(
                [43.6658599, -79.38315990000001],
                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_16c23399baa24eeb9a6e3f26de2cdc2b);
        
    
        var popup_76de6443e576499da92ee5925d011f52 = L.popup({"maxWidth": "100%"});

        
            var html_4d1b60a376594b95a9180b5ee37ce68b = $(`<div id="html_4d1b60a376594b95a9180b5ee37ce68b" style="width: 100.0%; height: 100.0%;">Church and Wellesley Cluster 1</div>`)[0];
            popup_76de6443e576499da92ee5925d011f52.setContent(html_4d1b60a376594b95a9180b5ee37ce68b);
        

        circle_marker_4861ac82a41a412dbc7000d4feb531a1.bindPopup(popup_76de6443e576499da92ee5925d011f52)
        ;

        
    
    
            var circle_marker_5969ff8a4c834d4eba8885f0f41bf005 = L.circleMarker(
                [43.6627439, -79.321558],
                {"bubblingMouseEvents": true, "color": "#80ffb4", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#80ffb4", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_16c23399baa24eeb9a6e3f26de2cdc2b);
        
    
        var popup_62ba7d00dbb14124ac7d213ee2fa66a6 = L.popup({"maxWidth": "100%"});

        
            var html_10fd09d04e9745679ca6cb61c6718211 = $(`<div id="html_10fd09d04e9745679ca6cb61c6718211" style="width: 100.0%; height: 100.0%;">Business Reply Mail Processing Centre 969 Eastern Cluster 8</div>`)[0];
            popup_62ba7d00dbb14124ac7d213ee2fa66a6.setContent(html_10fd09d04e9745679ca6cb61c6718211);
        

        circle_marker_5969ff8a4c834d4eba8885f0f41bf005.bindPopup(popup_62ba7d00dbb14124ac7d213ee2fa66a6)
        ;

        
    
</script>\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
      ],
      "text/plain": [
       "<folium.folium.Map at 0x24d82165940>"
      ]
     },
     "execution_count": 88,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import matplotlib.cm as cm\n",
    "import matplotlib.colors as colors\n",
    "# create map\n",
    "map_clusters = folium.Map(location=[43.6532, -79.3832], zoom_start=11)\n",
    "\n",
    "# set color scheme for the clusters\n",
    "x = np.arange(kclusters)\n",
    "ys = [i + x + (i*x)**2 for i in range(kclusters)]\n",
    "colors_array = cm.rainbow(np.linspace(0, 1, len(ys)))\n",
    "rainbow = [colors.rgb2hex(i) for i in colors_array]\n",
    "\n",
    "# add markers to the map\n",
    "markers_colors = []\n",
    "for lat, lon, poi, cluster in zip(toronto_merged['Latitude'], toronto_merged['Longitude'], toronto_merged['Neighbourhood'], toronto_merged['Cluster Labels']):\n",
    "    label = folium.Popup(str(poi) + ' Cluster ' + str(cluster), parse_html=True)\n",
    "    folium.CircleMarker(\n",
    "        [lat, lon],\n",
    "        radius=5,\n",
    "        popup=label,\n",
    "        color=rainbow[cluster-1],\n",
    "        fill=True,\n",
    "        fill_color=rainbow[cluster-1],\n",
    "        fill_opacity=0.7).add_to(map_clusters)\n",
    "\n",
    "map_clusters"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<b>Examining first 3 clusters</b>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Borough</th>\n",
       "      <th>Cluster Labels</th>\n",
       "      <th>1st Most Common Venue</th>\n",
       "      <th>2nd Most Common Venue</th>\n",
       "      <th>3rd Most Common Venue</th>\n",
       "      <th>4th Most Common Venue</th>\n",
       "      <th>5th Most Common Venue</th>\n",
       "      <th>6th Most Common Venue</th>\n",
       "      <th>7th Most Common Venue</th>\n",
       "      <th>8th Most Common Venue</th>\n",
       "      <th>9th Most Common Venue</th>\n",
       "      <th>10th Most Common Venue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>East Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Café</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Gastropub</td>\n",
       "      <td>Gym / Fitness Center</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Park</td>\n",
       "      <td>Music Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>West Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Café</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Cajun / Creole Restaurant</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Flea Market</td>\n",
       "      <td>Speakeasy</td>\n",
       "      <td>Fried Chicken Joint</td>\n",
       "      <td>Arts &amp; Crafts Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Café</td>\n",
       "      <td>Bookstore</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Comfort Food Restaurant</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Beer Store</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             Borough  Cluster Labels 1st Most Common Venue  \\\n",
       "16      East Toronto               0                  Café   \n",
       "21      West Toronto               0    Mexican Restaurant   \n",
       "26  Downtown Toronto               0                  Café   \n",
       "\n",
       "   2nd Most Common Venue 3rd Most Common Venue 4th Most Common Venue  \\\n",
       "16           Coffee Shop   American Restaurant                Bakery   \n",
       "21                   Bar                  Café                Bakery   \n",
       "26             Bookstore            Restaurant   Japanese Restaurant   \n",
       "\n",
       "        5th Most Common Venue 6th Most Common Venue    7th Most Common Venue  \\\n",
       "16         Italian Restaurant             Gastropub     Gym / Fitness Center   \n",
       "21  Cajun / Creole Restaurant    Italian Restaurant              Flea Market   \n",
       "26                        Bar                Bakery  Comfort Food Restaurant   \n",
       "\n",
       "   8th Most Common Venue 9th Most Common Venue 10th Most Common Venue  \n",
       "16                 Diner                  Park            Music Store  \n",
       "21             Speakeasy   Fried Chicken Joint    Arts & Crafts Store  \n",
       "26    Chinese Restaurant        Sandwich Place             Beer Store  "
      ]
     },
     "execution_count": 89,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "toronto_merged.loc[toronto_merged['Cluster Labels'] == 0, toronto_merged.columns[[1] + list(range(5, toronto_merged.shape[1]))]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Borough</th>\n",
       "      <th>Cluster Labels</th>\n",
       "      <th>1st Most Common Venue</th>\n",
       "      <th>2nd Most Common Venue</th>\n",
       "      <th>3rd Most Common Venue</th>\n",
       "      <th>4th Most Common Venue</th>\n",
       "      <th>5th Most Common Venue</th>\n",
       "      <th>6th Most Common Venue</th>\n",
       "      <th>7th Most Common Venue</th>\n",
       "      <th>8th Most Common Venue</th>\n",
       "      <th>9th Most Common Venue</th>\n",
       "      <th>10th Most Common Venue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Park</td>\n",
       "      <td>Café</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Theater</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Gym / Fitness Center</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Cosmetics Shop</td>\n",
       "      <td>Middle Eastern Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Ramen Restaurant</td>\n",
       "      <td>Bookstore</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Beer Bar</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Cocktail Bar</td>\n",
       "      <td>Cosmetics Shop</td>\n",
       "      <td>Gastropub</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Cocktail Bar</td>\n",
       "      <td>Farmers Market</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Beer Bar</td>\n",
       "      <td>Steakhouse</td>\n",
       "      <td>Cheese Shop</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Jazz Club</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Ice Cream Shop</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Burger Joint</td>\n",
       "      <td>Salad Place</td>\n",
       "      <td>Spa</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Thai Restaurant</td>\n",
       "      <td>Steakhouse</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Cosmetics Shop</td>\n",
       "      <td>Asian Restaurant</td>\n",
       "      <td>Burger Joint</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Gym</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Aquarium</td>\n",
       "      <td>Café</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Sporting Goods Shop</td>\n",
       "      <td>Scenic Lookout</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Brewery</td>\n",
       "      <td>Pizza Place</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>West Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Asian Restaurant</td>\n",
       "      <td>French Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>New American Restaurant</td>\n",
       "      <td>Men's Store</td>\n",
       "      <td>Wine Bar</td>\n",
       "      <td>Cocktail Bar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>East Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Greek Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Ice Cream Shop</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Furniture / Home Store</td>\n",
       "      <td>Cosmetics Shop</td>\n",
       "      <td>Bookstore</td>\n",
       "      <td>Brewery</td>\n",
       "      <td>Bubble Tea Shop</td>\n",
       "      <td>Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Gastropub</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Deli / Bodega</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>West Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Café</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Stadium</td>\n",
       "      <td>Burrito Place</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Caribbean Restaurant</td>\n",
       "      <td>Climbing Gym</td>\n",
       "      <td>Performing Arts Venue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Café</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Steakhouse</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "      <td>Gastropub</td>\n",
       "      <td>Deli / Bodega</td>\n",
       "      <td>Bakery</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Gym / Fitness Center</td>\n",
       "      <td>Sporting Goods Shop</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Health &amp; Beauty Service</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Café</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>History Museum</td>\n",
       "      <td>Donut Shop</td>\n",
       "      <td>Burger Joint</td>\n",
       "      <td>Jewish Restaurant</td>\n",
       "      <td>Indian Restaurant</td>\n",
       "      <td>BBQ Joint</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Thai Restaurant</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>West Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Smoothie Shop</td>\n",
       "      <td>Fish &amp; Chips Shop</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Indie Movie Theater</td>\n",
       "      <td>Falafel Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Café</td>\n",
       "      <td>Vegetarian / Vegan Restaurant</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Vietnamese Restaurant</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Dumpling Restaurant</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Record Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Cocktail Bar</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Beer Bar</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Flower Shop</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Park</td>\n",
       "      <td>Café</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Beer Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Steakhouse</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Gastropub</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "      <td>Gym</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Gay Bar</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Men's Store</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Mediterranean Restaurant</td>\n",
       "      <td>Gym</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             Borough  Cluster Labels 1st Most Common Venue  \\\n",
       "0   Downtown Toronto               1           Coffee Shop   \n",
       "1   Downtown Toronto               1           Coffee Shop   \n",
       "2   Downtown Toronto               1           Coffee Shop   \n",
       "4   Downtown Toronto               1           Coffee Shop   \n",
       "5   Downtown Toronto               1           Coffee Shop   \n",
       "7   Downtown Toronto               1           Coffee Shop   \n",
       "9   Downtown Toronto               1           Coffee Shop   \n",
       "10      West Toronto               1                   Bar   \n",
       "11      East Toronto               1      Greek Restaurant   \n",
       "12  Downtown Toronto               1           Coffee Shop   \n",
       "13      West Toronto               1           Coffee Shop   \n",
       "15  Downtown Toronto               1           Coffee Shop   \n",
       "22   Central Toronto               1        Clothing Store   \n",
       "23   Central Toronto               1           Coffee Shop   \n",
       "25   Central Toronto               1           Pizza Place   \n",
       "27      West Toronto               1           Pizza Place   \n",
       "29  Downtown Toronto               1                  Café   \n",
       "33  Downtown Toronto               1           Coffee Shop   \n",
       "34  Downtown Toronto               1           Coffee Shop   \n",
       "35  Downtown Toronto               1           Coffee Shop   \n",
       "36  Downtown Toronto               1           Coffee Shop   \n",
       "\n",
       "            2nd Most Common Venue 3rd Most Common Venue  \\\n",
       "0                            Park                  Café   \n",
       "1                  Clothing Store        Cosmetics Shop   \n",
       "2                           Hotel            Restaurant   \n",
       "4                    Cocktail Bar        Farmers Market   \n",
       "5              Italian Restaurant                  Café   \n",
       "7                            Café       Thai Restaurant   \n",
       "9                           Hotel              Aquarium   \n",
       "10                    Coffee Shop      Asian Restaurant   \n",
       "11                    Coffee Shop        Ice Cream Shop   \n",
       "12                           Café                 Hotel   \n",
       "13                 Breakfast Spot                  Café   \n",
       "15                          Hotel                  Café   \n",
       "22                    Coffee Shop  Gym / Fitness Center   \n",
       "23                 Sandwich Place                  Café   \n",
       "25                 Sandwich Place          Dessert Shop   \n",
       "27                    Coffee Shop                  Café   \n",
       "29  Vegetarian / Vegan Restaurant    Chinese Restaurant   \n",
       "33                     Restaurant                  Café   \n",
       "34                    Pizza Place           Flower Shop   \n",
       "35                           Café            Restaurant   \n",
       "36            Japanese Restaurant               Gay Bar   \n",
       "\n",
       "        4th Most Common Venue   5th Most Common Venue 6th Most Common Venue  \\\n",
       "0                      Bakery                 Theater    Mexican Restaurant   \n",
       "1   Middle Eastern Restaurant                    Café  Fast Food Restaurant   \n",
       "2                        Café      Italian Restaurant              Beer Bar   \n",
       "4                      Bakery                Beer Bar            Steakhouse   \n",
       "5              Ice Cream Shop          Sandwich Place          Burger Joint   \n",
       "7                  Steakhouse                     Bar        Cosmetics Shop   \n",
       "9                        Café      Italian Restaurant   Sporting Goods Shop   \n",
       "10          French Restaurant                    Café           Pizza Place   \n",
       "11         Italian Restaurant  Furniture / Home Store        Cosmetics Shop   \n",
       "12         Italian Restaurant              Restaurant   American Restaurant   \n",
       "13                Yoga Studio                 Stadium         Burrito Place   \n",
       "15        American Restaurant              Restaurant            Steakhouse   \n",
       "22        Sporting Goods Shop      Chinese Restaurant          Dessert Shop   \n",
       "23                Pizza Place          History Museum            Donut Shop   \n",
       "25                Coffee Shop              Restaurant    Italian Restaurant   \n",
       "27         Italian Restaurant        Sushi Restaurant         Smoothie Shop   \n",
       "29                     Bakery   Vietnamese Restaurant    Mexican Restaurant   \n",
       "33               Cocktail Bar      Seafood Restaurant  Fast Food Restaurant   \n",
       "34                 Restaurant                    Park                  Café   \n",
       "35                 Steakhouse                   Hotel   American Restaurant   \n",
       "36           Sushi Restaurant              Restaurant           Men's Store   \n",
       "\n",
       "      7th Most Common Venue    8th Most Common Venue  \\\n",
       "0                       Pub               Restaurant   \n",
       "1                     Diner               Restaurant   \n",
       "2            Breakfast Spot             Cocktail Bar   \n",
       "4               Cheese Shop       Seafood Restaurant   \n",
       "5               Salad Place                      Spa   \n",
       "7          Asian Restaurant             Burger Joint   \n",
       "9            Scenic Lookout                   Bakery   \n",
       "10  New American Restaurant              Men's Store   \n",
       "11                Bookstore                  Brewery   \n",
       "12                Gastropub                      Gym   \n",
       "13               Restaurant     Caribbean Restaurant   \n",
       "15       Seafood Restaurant                Gastropub   \n",
       "22                    Diner  Health & Beauty Service   \n",
       "23             Burger Joint        Jewish Restaurant   \n",
       "25                     Café          Thai Restaurant   \n",
       "27        Fish & Chips Shop                      Bar   \n",
       "29      Dumpling Restaurant                      Bar   \n",
       "33                    Hotel                 Beer Bar   \n",
       "34       Italian Restaurant                   Bakery   \n",
       "35                Gastropub                      Bar   \n",
       "36                    Hotel     Fast Food Restaurant   \n",
       "\n",
       "       9th Most Common Venue 10th Most Common Venue  \n",
       "0             Breakfast Spot   Gym / Fitness Center  \n",
       "1           Ramen Restaurant              Bookstore  \n",
       "2             Cosmetics Shop              Gastropub  \n",
       "4                       Café              Jazz Club  \n",
       "5           Sushi Restaurant    Japanese Restaurant  \n",
       "7        American Restaurant                    Gym  \n",
       "9                    Brewery            Pizza Place  \n",
       "10                  Wine Bar           Cocktail Bar  \n",
       "11           Bubble Tea Shop             Restaurant  \n",
       "12                       Bar          Deli / Bodega  \n",
       "13              Climbing Gym  Performing Arts Venue  \n",
       "15             Deli / Bodega                 Bakery  \n",
       "22        Italian Restaurant     Mexican Restaurant  \n",
       "23         Indian Restaurant              BBQ Joint  \n",
       "25          Sushi Restaurant                   Park  \n",
       "27       Indie Movie Theater     Falafel Restaurant  \n",
       "29               Coffee Shop            Record Shop  \n",
       "33                    Bakery                   Park  \n",
       "34                       Pub             Beer Store  \n",
       "35        Seafood Restaurant                    Gym  \n",
       "36  Mediterranean Restaurant                    Gym  "
      ]
     },
     "execution_count": 90,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "toronto_merged.loc[toronto_merged['Cluster Labels'] == 1, toronto_merged.columns[[1] + list(range(5, toronto_merged.shape[1]))]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
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       "</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>18</th>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>2</td>\n",
       "      <td>Home Service</td>\n",
       "      <td>Garden</td>\n",
       "      <td>Wings Joint</td>\n",
       "      <td>Department Store</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",
       "      <td>Doner Restaurant</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Borough  Cluster Labels 1st Most Common Venue  \\\n",
       "18  Central Toronto               2          Home Service   \n",
       "\n",
       "   2nd Most Common Venue 3rd Most Common Venue 4th Most Common Venue  \\\n",
       "18                Garden           Wings Joint      Department Store   \n",
       "\n",
       "   5th Most Common Venue 6th Most Common Venue        7th Most Common Venue  \\\n",
       "18  Ethiopian Restaurant     Electronics Store  Eastern European Restaurant   \n",
       "\n",
       "   8th Most Common Venue 9th Most Common Venue 10th Most Common Venue  \n",
       "18   Dumpling Restaurant            Donut Shop       Doner Restaurant  "
      ]
     },
     "execution_count": 91,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "toronto_merged.loc[toronto_merged['Cluster Labels'] == 2, toronto_merged.columns[[1] + list(range(5, toronto_merged.shape[1]))]]"
   ]
  }
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