Toronto Neighbourhoods_Final.ipynb

{
    "nbformat_minor": 1, 
    "cells": [
        {
            "source": "1. Scrape wikipedia site", 
            "cell_type": "markdown", 
            "metadata": {
                "collapsed": true
            }
        }, 
        {
            "execution_count": 20, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [], 
            "source": "import pandas as pd\nimport numpy as np\n\nurl = 'https://en.wikipedia.org/wiki/List_of_postal_codes_of_Canada:_M'"
        }, 
        {
            "source": "2. Transform data into pandas dataframe\n\n  \n    ", 
            "cell_type": "markdown", 
            "metadata": {}
        }, 
        {
            "source": "2a: Consisting of 3 columns: PostalCode, Borough, and Neighborhood", 
            "cell_type": "markdown", 
            "metadata": {}
        }, 
        {
            "execution_count": 21, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [
                {
                    "execution_count": 21, 
                    "metadata": {}, 
                    "data": {
                        "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Postcode</th>\n      <th>Borough</th>\n      <th>Neighbourhood</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>M1A</td>\n      <td>Not assigned</td>\n      <td>Not assigned</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>M2A</td>\n      <td>Not assigned</td>\n      <td>Not assigned</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>M3A</td>\n      <td>North York</td>\n      <td>Parkwoods</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>M4A</td>\n      <td>North York</td>\n      <td>Victoria Village</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>M5A</td>\n      <td>Downtown Toronto</td>\n      <td>Harbourfront</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>M5A</td>\n      <td>Downtown Toronto</td>\n      <td>Regent Park</td>\n    </tr>\n    <tr>\n      <th>6</th>\n      <td>M6A</td>\n      <td>North York</td>\n      <td>Lawrence Heights</td>\n    </tr>\n    <tr>\n      <th>7</th>\n      <td>M6A</td>\n      <td>North York</td>\n      <td>Lawrence Manor</td>\n    </tr>\n    <tr>\n      <th>8</th>\n      <td>M7A</td>\n      <td>Queen's Park</td>\n      <td>Not assigned</td>\n    </tr>\n    <tr>\n      <th>9</th>\n      <td>M8A</td>\n      <td>Not assigned</td>\n      <td>Not assigned</td>\n    </tr>\n    <tr>\n      <th>10</th>\n      <td>M9A</td>\n      <td>Etobicoke</td>\n      <td>Islington Avenue</td>\n    </tr>\n    <tr>\n      <th>11</th>\n      <td>M1B</td>\n      <td>Scarborough</td>\n      <td>Rouge</td>\n    </tr>\n    <tr>\n      <th>12</th>\n      <td>M1B</td>\n      <td>Scarborough</td>\n      <td>Malvern</td>\n    </tr>\n    <tr>\n      <th>13</th>\n      <td>M2B</td>\n      <td>Not assigned</td>\n      <td>Not assigned</td>\n    </tr>\n    <tr>\n      <th>14</th>\n      <td>M3B</td>\n      <td>North York</td>\n      <td>Don Mills North</td>\n    </tr>\n    <tr>\n      <th>15</th>\n      <td>M4B</td>\n      <td>East York</td>\n      <td>Woodbine Gardens</td>\n    </tr>\n    <tr>\n      <th>16</th>\n      <td>M4B</td>\n      <td>East York</td>\n      <td>Parkview Hill</td>\n    </tr>\n    <tr>\n      <th>17</th>\n      <td>M5B</td>\n      <td>Downtown Toronto</td>\n      <td>Ryerson</td>\n    </tr>\n    <tr>\n      <th>18</th>\n      <td>M5B</td>\n      <td>Downtown Toronto</td>\n      <td>Garden District</td>\n    </tr>\n    <tr>\n      <th>19</th>\n      <td>M6B</td>\n      <td>North York</td>\n      <td>Glencairn</td>\n    </tr>\n    <tr>\n      <th>20</th>\n      <td>M7B</td>\n      <td>Not assigned</td>\n      <td>Not assigned</td>\n    </tr>\n    <tr>\n      <th>21</th>\n      <td>M8B</td>\n      <td>Not assigned</td>\n      <td>Not assigned</td>\n    </tr>\n    <tr>\n      <th>22</th>\n      <td>M9B</td>\n      <td>Etobicoke</td>\n      <td>Cloverdale</td>\n    </tr>\n    <tr>\n      <th>23</th>\n      <td>M9B</td>\n      <td>Etobicoke</td>\n      <td>Islington</td>\n    </tr>\n    <tr>\n      <th>24</th>\n      <td>M9B</td>\n      <td>Etobicoke</td>\n      <td>Martin Grove</td>\n    </tr>\n    <tr>\n      <th>25</th>\n      <td>M9B</td>\n      <td>Etobicoke</td>\n      <td>Princess Gardens</td>\n    </tr>\n    <tr>\n      <th>26</th>\n      <td>M9B</td>\n      <td>Etobicoke</td>\n      <td>West Deane Park</td>\n    </tr>\n    <tr>\n      <th>27</th>\n      <td>M1C</td>\n      <td>Scarborough</td>\n      <td>Highland Creek</td>\n    </tr>\n    <tr>\n      <th>28</th>\n      <td>M1C</td>\n      <td>Scarborough</td>\n      <td>Rouge Hill</td>\n    </tr>\n    <tr>\n      <th>29</th>\n      <td>M1C</td>\n      <td>Scarborough</td>\n      <td>Port Union</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>258</th>\n      <td>M9X</td>\n      <td>Not assigned</td>\n      <td>Not assigned</td>\n    </tr>\n    <tr>\n      <th>259</th>\n      <td>M1Y</td>\n      <td>Not assigned</td>\n      <td>Not assigned</td>\n    </tr>\n    <tr>\n      <th>260</th>\n      <td>M2Y</td>\n      <td>Not assigned</td>\n      <td>Not assigned</td>\n    </tr>\n    <tr>\n      <th>261</th>\n      <td>M3Y</td>\n      <td>Not assigned</td>\n      <td>Not assigned</td>\n    </tr>\n    <tr>\n      <th>262</th>\n      <td>M4Y</td>\n      <td>Downtown Toronto</td>\n      <td>Church and Wellesley</td>\n    </tr>\n    <tr>\n      <th>263</th>\n      <td>M5Y</td>\n      <td>Not assigned</td>\n      <td>Not assigned</td>\n    </tr>\n    <tr>\n      <th>264</th>\n      <td>M6Y</td>\n      <td>Not assigned</td>\n      <td>Not assigned</td>\n    </tr>\n    <tr>\n      <th>265</th>\n      <td>M7Y</td>\n      <td>East Toronto</td>\n      <td>Business Reply Mail Processing Centre 969 Eastern</td>\n    </tr>\n    <tr>\n      <th>266</th>\n      <td>M8Y</td>\n      <td>Etobicoke</td>\n      <td>Humber Bay</td>\n    </tr>\n    <tr>\n      <th>267</th>\n      <td>M8Y</td>\n      <td>Etobicoke</td>\n      <td>King's Mill Park</td>\n    </tr>\n    <tr>\n      <th>268</th>\n      <td>M8Y</td>\n      <td>Etobicoke</td>\n      <td>Kingsway Park South East</td>\n    </tr>\n    <tr>\n      <th>269</th>\n      <td>M8Y</td>\n      <td>Etobicoke</td>\n      <td>Mimico NE</td>\n    </tr>\n    <tr>\n      <th>270</th>\n      <td>M8Y</td>\n      <td>Etobicoke</td>\n      <td>Old Mill South</td>\n    </tr>\n    <tr>\n      <th>271</th>\n      <td>M8Y</td>\n      <td>Etobicoke</td>\n      <td>The Queensway East</td>\n    </tr>\n    <tr>\n      <th>272</th>\n      <td>M8Y</td>\n      <td>Etobicoke</td>\n      <td>Royal York South East</td>\n    </tr>\n    <tr>\n      <th>273</th>\n      <td>M8Y</td>\n      <td>Etobicoke</td>\n      <td>Sunnylea</td>\n    </tr>\n    <tr>\n      <th>274</th>\n      <td>M9Y</td>\n      <td>Not assigned</td>\n      <td>Not assigned</td>\n    </tr>\n    <tr>\n      <th>275</th>\n      <td>M1Z</td>\n      <td>Not assigned</td>\n      <td>Not assigned</td>\n    </tr>\n    <tr>\n      <th>276</th>\n      <td>M2Z</td>\n      <td>Not assigned</td>\n      <td>Not assigned</td>\n    </tr>\n    <tr>\n      <th>277</th>\n      <td>M3Z</td>\n      <td>Not assigned</td>\n      <td>Not assigned</td>\n    </tr>\n    <tr>\n      <th>278</th>\n      <td>M4Z</td>\n      <td>Not assigned</td>\n      <td>Not assigned</td>\n    </tr>\n    <tr>\n      <th>279</th>\n      <td>M5Z</td>\n      <td>Not assigned</td>\n      <td>Not assigned</td>\n    </tr>\n    <tr>\n      <th>280</th>\n      <td>M6Z</td>\n      <td>Not assigned</td>\n      <td>Not assigned</td>\n    </tr>\n    <tr>\n      <th>281</th>\n      <td>M7Z</td>\n      <td>Not assigned</td>\n      <td>Not assigned</td>\n    </tr>\n    <tr>\n      <th>282</th>\n      <td>M8Z</td>\n      <td>Etobicoke</td>\n      <td>Kingsway Park South West</td>\n    </tr>\n    <tr>\n      <th>283</th>\n      <td>M8Z</td>\n      <td>Etobicoke</td>\n      <td>Mimico NW</td>\n    </tr>\n    <tr>\n      <th>284</th>\n      <td>M8Z</td>\n      <td>Etobicoke</td>\n      <td>The Queensway West</td>\n    </tr>\n    <tr>\n      <th>285</th>\n      <td>M8Z</td>\n      <td>Etobicoke</td>\n      <td>Royal York South West</td>\n    </tr>\n    <tr>\n      <th>286</th>\n      <td>M8Z</td>\n      <td>Etobicoke</td>\n      <td>South of Bloor</td>\n    </tr>\n    <tr>\n      <th>287</th>\n      <td>M9Z</td>\n      <td>Not assigned</td>\n      <td>Not assigned</td>\n    </tr>\n  </tbody>\n</table>\n<p>288 rows \u00d7 3 columns</p>\n</div>", 
                        "text/plain": "    Postcode           Borough  \\\n0        M1A      Not assigned   \n1        M2A      Not assigned   \n2        M3A        North York   \n3        M4A        North York   \n4        M5A  Downtown Toronto   \n5        M5A  Downtown Toronto   \n6        M6A        North York   \n7        M6A        North York   \n8        M7A      Queen's Park   \n9        M8A      Not assigned   \n10       M9A         Etobicoke   \n11       M1B       Scarborough   \n12       M1B       Scarborough   \n13       M2B      Not assigned   \n14       M3B        North York   \n15       M4B         East York   \n16       M4B         East York   \n17       M5B  Downtown Toronto   \n18       M5B  Downtown Toronto   \n19       M6B        North York   \n20       M7B      Not assigned   \n21       M8B      Not assigned   \n22       M9B         Etobicoke   \n23       M9B         Etobicoke   \n24       M9B         Etobicoke   \n25       M9B         Etobicoke   \n26       M9B         Etobicoke   \n27       M1C       Scarborough   \n28       M1C       Scarborough   \n29       M1C       Scarborough   \n..       ...               ...   \n258      M9X      Not assigned   \n259      M1Y      Not assigned   \n260      M2Y      Not assigned   \n261      M3Y      Not assigned   \n262      M4Y  Downtown Toronto   \n263      M5Y      Not assigned   \n264      M6Y      Not assigned   \n265      M7Y      East Toronto   \n266      M8Y         Etobicoke   \n267      M8Y         Etobicoke   \n268      M8Y         Etobicoke   \n269      M8Y         Etobicoke   \n270      M8Y         Etobicoke   \n271      M8Y         Etobicoke   \n272      M8Y         Etobicoke   \n273      M8Y         Etobicoke   \n274      M9Y      Not assigned   \n275      M1Z      Not assigned   \n276      M2Z      Not assigned   \n277      M3Z      Not assigned   \n278      M4Z      Not assigned   \n279      M5Z      Not assigned   \n280      M6Z      Not assigned   \n281      M7Z      Not assigned   \n282      M8Z         Etobicoke   \n283      M8Z         Etobicoke   \n284      M8Z         Etobicoke   \n285      M8Z         Etobicoke   \n286      M8Z         Etobicoke   \n287      M9Z      Not assigned   \n\n                                         Neighbourhood  \n0                                         Not assigned  \n1                                         Not assigned  \n2                                            Parkwoods  \n3                                     Victoria Village  \n4                                         Harbourfront  \n5                                          Regent Park  \n6                                     Lawrence Heights  \n7                                       Lawrence Manor  \n8                                         Not assigned  \n9                                         Not assigned  \n10                                    Islington Avenue  \n11                                               Rouge  \n12                                             Malvern  \n13                                        Not assigned  \n14                                     Don Mills North  \n15                                    Woodbine Gardens  \n16                                       Parkview Hill  \n17                                             Ryerson  \n18                                     Garden District  \n19                                           Glencairn  \n20                                        Not assigned  \n21                                        Not assigned  \n22                                          Cloverdale  \n23                                           Islington  \n24                                        Martin Grove  \n25                                    Princess Gardens  \n26                                     West Deane Park  \n27                                      Highland Creek  \n28                                          Rouge Hill  \n29                                          Port Union  \n..                                                 ...  \n258                                       Not assigned  \n259                                       Not assigned  \n260                                       Not assigned  \n261                                       Not assigned  \n262                               Church and Wellesley  \n263                                       Not assigned  \n264                                       Not assigned  \n265  Business Reply Mail Processing Centre 969 Eastern  \n266                                         Humber Bay  \n267                                   King's Mill Park  \n268                           Kingsway Park South East  \n269                                          Mimico NE  \n270                                     Old Mill South  \n271                                 The Queensway East  \n272                              Royal York South East  \n273                                           Sunnylea  \n274                                       Not assigned  \n275                                       Not assigned  \n276                                       Not assigned  \n277                                       Not assigned  \n278                                       Not assigned  \n279                                       Not assigned  \n280                                       Not assigned  \n281                                       Not assigned  \n282                           Kingsway Park South West  \n283                                          Mimico NW  \n284                                 The Queensway West  \n285                              Royal York South West  \n286                                     South of Bloor  \n287                                       Not assigned  \n\n[288 rows x 3 columns]"
                    }, 
                    "output_type": "execute_result"
                }
            ], 
            "source": "data = pd.read_html(url,header=0)\ndf_data = pd.DataFrame.from_dict(data[0])\ndf_data"
        }, 
        {
            "source": "2b: Ignore cells with a borough that is 'Not assigned'", 
            "cell_type": "markdown", 
            "metadata": {}
        }, 
        {
            "execution_count": 60, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [
                {
                    "execution_count": 60, 
                    "metadata": {}, 
                    "data": {
                        "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Postcode</th>\n      <th>Borough</th>\n      <th>Neighbourhood</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>2</th>\n      <td>M3A</td>\n      <td>North York</td>\n      <td>Parkwoods</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>M4A</td>\n      <td>North York</td>\n      <td>Victoria Village</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>M5A</td>\n      <td>Downtown Toronto</td>\n      <td>Harbourfront</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>M5A</td>\n      <td>Downtown Toronto</td>\n      <td>Regent Park</td>\n    </tr>\n    <tr>\n      <th>6</th>\n      <td>M6A</td>\n      <td>North York</td>\n      <td>Lawrence Heights</td>\n    </tr>\n    <tr>\n      <th>7</th>\n      <td>M6A</td>\n      <td>North York</td>\n      <td>Lawrence Manor</td>\n    </tr>\n    <tr>\n      <th>8</th>\n      <td>M7A</td>\n      <td>Queen's Park</td>\n      <td>Not assigned</td>\n    </tr>\n    <tr>\n      <th>10</th>\n      <td>M9A</td>\n      <td>Etobicoke</td>\n      <td>Islington Avenue</td>\n    </tr>\n    <tr>\n      <th>11</th>\n      <td>M1B</td>\n      <td>Scarborough</td>\n      <td>Rouge</td>\n    </tr>\n    <tr>\n      <th>12</th>\n      <td>M1B</td>\n      <td>Scarborough</td>\n      <td>Malvern</td>\n    </tr>\n    <tr>\n      <th>14</th>\n      <td>M3B</td>\n      <td>North York</td>\n      <td>Don Mills North</td>\n    </tr>\n    <tr>\n      <th>15</th>\n      <td>M4B</td>\n      <td>East York</td>\n      <td>Woodbine Gardens</td>\n    </tr>\n    <tr>\n      <th>16</th>\n      <td>M4B</td>\n      <td>East York</td>\n      <td>Parkview Hill</td>\n    </tr>\n    <tr>\n      <th>17</th>\n      <td>M5B</td>\n      <td>Downtown Toronto</td>\n      <td>Ryerson</td>\n    </tr>\n    <tr>\n      <th>18</th>\n      <td>M5B</td>\n      <td>Downtown Toronto</td>\n      <td>Garden District</td>\n    </tr>\n    <tr>\n      <th>19</th>\n      <td>M6B</td>\n      <td>North York</td>\n      <td>Glencairn</td>\n    </tr>\n    <tr>\n      <th>22</th>\n      <td>M9B</td>\n      <td>Etobicoke</td>\n      <td>Cloverdale</td>\n    </tr>\n    <tr>\n      <th>23</th>\n      <td>M9B</td>\n      <td>Etobicoke</td>\n      <td>Islington</td>\n    </tr>\n    <tr>\n      <th>24</th>\n      <td>M9B</td>\n      <td>Etobicoke</td>\n      <td>Martin Grove</td>\n    </tr>\n    <tr>\n      <th>25</th>\n      <td>M9B</td>\n      <td>Etobicoke</td>\n      <td>Princess Gardens</td>\n    </tr>\n    <tr>\n      <th>26</th>\n      <td>M9B</td>\n      <td>Etobicoke</td>\n      <td>West Deane Park</td>\n    </tr>\n    <tr>\n      <th>27</th>\n      <td>M1C</td>\n      <td>Scarborough</td>\n      <td>Highland Creek</td>\n    </tr>\n    <tr>\n      <th>28</th>\n      <td>M1C</td>\n      <td>Scarborough</td>\n      <td>Rouge Hill</td>\n    </tr>\n    <tr>\n      <th>29</th>\n      <td>M1C</td>\n      <td>Scarborough</td>\n      <td>Port Union</td>\n    </tr>\n    <tr>\n      <th>31</th>\n      <td>M3C</td>\n      <td>North York</td>\n      <td>Flemingdon Park</td>\n    </tr>\n    <tr>\n      <th>32</th>\n      <td>M3C</td>\n      <td>North York</td>\n      <td>Don Mills South</td>\n    </tr>\n    <tr>\n      <th>33</th>\n      <td>M4C</td>\n      <td>East York</td>\n      <td>Woodbine Heights</td>\n    </tr>\n    <tr>\n      <th>34</th>\n      <td>M5C</td>\n      <td>Downtown Toronto</td>\n      <td>St. James Town</td>\n    </tr>\n    <tr>\n      <th>35</th>\n      <td>M6C</td>\n      <td>York</td>\n      <td>Humewood-Cedarvale</td>\n    </tr>\n    <tr>\n      <th>38</th>\n      <td>M9C</td>\n      <td>Etobicoke</td>\n      <td>Bloordale Gardens</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>235</th>\n      <td>M9V</td>\n      <td>Etobicoke</td>\n      <td>Thistletown</td>\n    </tr>\n    <tr>\n      <th>236</th>\n      <td>M1W</td>\n      <td>Scarborough</td>\n      <td>L'Amoreaux West</td>\n    </tr>\n    <tr>\n      <th>239</th>\n      <td>M4W</td>\n      <td>Downtown Toronto</td>\n      <td>Rosedale</td>\n    </tr>\n    <tr>\n      <th>240</th>\n      <td>M5W</td>\n      <td>Downtown Toronto</td>\n      <td>Stn A PO Boxes 25 The Esplanade</td>\n    </tr>\n    <tr>\n      <th>243</th>\n      <td>M8W</td>\n      <td>Etobicoke</td>\n      <td>Alderwood</td>\n    </tr>\n    <tr>\n      <th>244</th>\n      <td>M8W</td>\n      <td>Etobicoke</td>\n      <td>Long Branch</td>\n    </tr>\n    <tr>\n      <th>245</th>\n      <td>M9W</td>\n      <td>Etobicoke</td>\n      <td>Northwest</td>\n    </tr>\n    <tr>\n      <th>246</th>\n      <td>M1X</td>\n      <td>Scarborough</td>\n      <td>Upper Rouge</td>\n    </tr>\n    <tr>\n      <th>249</th>\n      <td>M4X</td>\n      <td>Downtown Toronto</td>\n      <td>Cabbagetown</td>\n    </tr>\n    <tr>\n      <th>250</th>\n      <td>M4X</td>\n      <td>Downtown Toronto</td>\n      <td>St. James Town</td>\n    </tr>\n    <tr>\n      <th>251</th>\n      <td>M5X</td>\n      <td>Downtown Toronto</td>\n      <td>First Canadian Place</td>\n    </tr>\n    <tr>\n      <th>252</th>\n      <td>M5X</td>\n      <td>Downtown Toronto</td>\n      <td>Underground city</td>\n    </tr>\n    <tr>\n      <th>255</th>\n      <td>M8X</td>\n      <td>Etobicoke</td>\n      <td>The Kingsway</td>\n    </tr>\n    <tr>\n      <th>256</th>\n      <td>M8X</td>\n      <td>Etobicoke</td>\n      <td>Montgomery Road</td>\n    </tr>\n    <tr>\n      <th>257</th>\n      <td>M8X</td>\n      <td>Etobicoke</td>\n      <td>Old Mill North</td>\n    </tr>\n    <tr>\n      <th>262</th>\n      <td>M4Y</td>\n      <td>Downtown Toronto</td>\n      <td>Church and Wellesley</td>\n    </tr>\n    <tr>\n      <th>265</th>\n      <td>M7Y</td>\n      <td>East Toronto</td>\n      <td>Business Reply Mail Processing Centre 969 Eastern</td>\n    </tr>\n    <tr>\n      <th>266</th>\n      <td>M8Y</td>\n      <td>Etobicoke</td>\n      <td>Humber Bay</td>\n    </tr>\n    <tr>\n      <th>267</th>\n      <td>M8Y</td>\n      <td>Etobicoke</td>\n      <td>King's Mill Park</td>\n    </tr>\n    <tr>\n      <th>268</th>\n      <td>M8Y</td>\n      <td>Etobicoke</td>\n      <td>Kingsway Park South East</td>\n    </tr>\n    <tr>\n      <th>269</th>\n      <td>M8Y</td>\n      <td>Etobicoke</td>\n      <td>Mimico NE</td>\n    </tr>\n    <tr>\n      <th>270</th>\n      <td>M8Y</td>\n      <td>Etobicoke</td>\n      <td>Old Mill South</td>\n    </tr>\n    <tr>\n      <th>271</th>\n      <td>M8Y</td>\n      <td>Etobicoke</td>\n      <td>The Queensway East</td>\n    </tr>\n    <tr>\n      <th>272</th>\n      <td>M8Y</td>\n      <td>Etobicoke</td>\n      <td>Royal York South East</td>\n    </tr>\n    <tr>\n      <th>273</th>\n      <td>M8Y</td>\n      <td>Etobicoke</td>\n      <td>Sunnylea</td>\n    </tr>\n    <tr>\n      <th>282</th>\n      <td>M8Z</td>\n      <td>Etobicoke</td>\n      <td>Kingsway Park South West</td>\n    </tr>\n    <tr>\n      <th>283</th>\n      <td>M8Z</td>\n      <td>Etobicoke</td>\n      <td>Mimico NW</td>\n    </tr>\n    <tr>\n      <th>284</th>\n      <td>M8Z</td>\n      <td>Etobicoke</td>\n      <td>The Queensway West</td>\n    </tr>\n    <tr>\n      <th>285</th>\n      <td>M8Z</td>\n      <td>Etobicoke</td>\n      <td>Royal York South West</td>\n    </tr>\n    <tr>\n      <th>286</th>\n      <td>M8Z</td>\n      <td>Etobicoke</td>\n      <td>South of Bloor</td>\n    </tr>\n  </tbody>\n</table>\n<p>211 rows \u00d7 3 columns</p>\n</div>", 
                        "text/plain": "    Postcode           Borough  \\\n2        M3A        North York   \n3        M4A        North York   \n4        M5A  Downtown Toronto   \n5        M5A  Downtown Toronto   \n6        M6A        North York   \n7        M6A        North York   \n8        M7A      Queen's Park   \n10       M9A         Etobicoke   \n11       M1B       Scarborough   \n12       M1B       Scarborough   \n14       M3B        North York   \n15       M4B         East York   \n16       M4B         East York   \n17       M5B  Downtown Toronto   \n18       M5B  Downtown Toronto   \n19       M6B        North York   \n22       M9B         Etobicoke   \n23       M9B         Etobicoke   \n24       M9B         Etobicoke   \n25       M9B         Etobicoke   \n26       M9B         Etobicoke   \n27       M1C       Scarborough   \n28       M1C       Scarborough   \n29       M1C       Scarborough   \n31       M3C        North York   \n32       M3C        North York   \n33       M4C         East York   \n34       M5C  Downtown Toronto   \n35       M6C              York   \n38       M9C         Etobicoke   \n..       ...               ...   \n235      M9V         Etobicoke   \n236      M1W       Scarborough   \n239      M4W  Downtown Toronto   \n240      M5W  Downtown Toronto   \n243      M8W         Etobicoke   \n244      M8W         Etobicoke   \n245      M9W         Etobicoke   \n246      M1X       Scarborough   \n249      M4X  Downtown Toronto   \n250      M4X  Downtown Toronto   \n251      M5X  Downtown Toronto   \n252      M5X  Downtown Toronto   \n255      M8X         Etobicoke   \n256      M8X         Etobicoke   \n257      M8X         Etobicoke   \n262      M4Y  Downtown Toronto   \n265      M7Y      East Toronto   \n266      M8Y         Etobicoke   \n267      M8Y         Etobicoke   \n268      M8Y         Etobicoke   \n269      M8Y         Etobicoke   \n270      M8Y         Etobicoke   \n271      M8Y         Etobicoke   \n272      M8Y         Etobicoke   \n273      M8Y         Etobicoke   \n282      M8Z         Etobicoke   \n283      M8Z         Etobicoke   \n284      M8Z         Etobicoke   \n285      M8Z         Etobicoke   \n286      M8Z         Etobicoke   \n\n                                         Neighbourhood  \n2                                            Parkwoods  \n3                                     Victoria Village  \n4                                         Harbourfront  \n5                                          Regent Park  \n6                                     Lawrence Heights  \n7                                       Lawrence Manor  \n8                                         Not assigned  \n10                                    Islington Avenue  \n11                                               Rouge  \n12                                             Malvern  \n14                                     Don Mills North  \n15                                    Woodbine Gardens  \n16                                       Parkview Hill  \n17                                             Ryerson  \n18                                     Garden District  \n19                                           Glencairn  \n22                                          Cloverdale  \n23                                           Islington  \n24                                        Martin Grove  \n25                                    Princess Gardens  \n26                                     West Deane Park  \n27                                      Highland Creek  \n28                                          Rouge Hill  \n29                                          Port Union  \n31                                     Flemingdon Park  \n32                                     Don Mills South  \n33                                    Woodbine Heights  \n34                                      St. James Town  \n35                                  Humewood-Cedarvale  \n38                                   Bloordale Gardens  \n..                                                 ...  \n235                                        Thistletown  \n236                                    L'Amoreaux West  \n239                                           Rosedale  \n240                    Stn A PO Boxes 25 The Esplanade  \n243                                          Alderwood  \n244                                        Long Branch  \n245                                          Northwest  \n246                                        Upper Rouge  \n249                                        Cabbagetown  \n250                                     St. James Town  \n251                               First Canadian Place  \n252                                   Underground city  \n255                                       The Kingsway  \n256                                    Montgomery Road  \n257                                     Old Mill North  \n262                               Church and Wellesley  \n265  Business Reply Mail Processing Centre 969 Eastern  \n266                                         Humber Bay  \n267                                   King's Mill Park  \n268                           Kingsway Park South East  \n269                                          Mimico NE  \n270                                     Old Mill South  \n271                                 The Queensway East  \n272                              Royal York South East  \n273                                           Sunnylea  \n282                           Kingsway Park South West  \n283                                          Mimico NW  \n284                                 The Queensway West  \n285                              Royal York South West  \n286                                     South of Bloor  \n\n[211 rows x 3 columns]"
                    }, 
                    "output_type": "execute_result"
                }
            ], 
            "source": "filtered_df = df_data[df_data.Borough != 'Not assigned']\nfiltered_df"
        }, 
        {
            "source": "2c: Postal code area with more than 1 neighborhood will have combined neighborhoods into one row with neighborhoods seperated by commas", 
            "cell_type": "markdown", 
            "metadata": {}
        }, 
        {
            "execution_count": 61, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [
                {
                    "execution_count": 61, 
                    "metadata": {}, 
                    "data": {
                        "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Postcode</th>\n      <th>Borough</th>\n      <th>Neighbourhood</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>M1B</td>\n      <td>Scarborough</td>\n      <td>Rouge,Malvern</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>M1C</td>\n      <td>Scarborough</td>\n      <td>Highland Creek,Rouge Hill,Port Union</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>M1E</td>\n      <td>Scarborough</td>\n      <td>Guildwood,Morningside,West Hill</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>M1G</td>\n      <td>Scarborough</td>\n      <td>Woburn</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>M1H</td>\n      <td>Scarborough</td>\n      <td>Cedarbrae</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>M1J</td>\n      <td>Scarborough</td>\n      <td>Scarborough Village</td>\n    </tr>\n    <tr>\n      <th>6</th>\n      <td>M1K</td>\n      <td>Scarborough</td>\n      <td>East Birchmount Park,Ionview,Kennedy Park</td>\n    </tr>\n    <tr>\n      <th>7</th>\n      <td>M1L</td>\n      <td>Scarborough</td>\n      <td>Clairlea,Golden Mile,Oakridge</td>\n    </tr>\n    <tr>\n      <th>8</th>\n      <td>M1M</td>\n      <td>Scarborough</td>\n      <td>Cliffcrest,Cliffside,Scarborough Village West</td>\n    </tr>\n    <tr>\n      <th>9</th>\n      <td>M1N</td>\n      <td>Scarborough</td>\n      <td>Birch Cliff,Cliffside West</td>\n    </tr>\n    <tr>\n      <th>10</th>\n      <td>M1P</td>\n      <td>Scarborough</td>\n      <td>Dorset Park,Scarborough Town Centre,Wexford He...</td>\n    </tr>\n    <tr>\n      <th>11</th>\n      <td>M1R</td>\n      <td>Scarborough</td>\n      <td>Maryvale,Wexford</td>\n    </tr>\n    <tr>\n      <th>12</th>\n      <td>M1S</td>\n      <td>Scarborough</td>\n      <td>Agincourt</td>\n    </tr>\n    <tr>\n      <th>13</th>\n      <td>M1T</td>\n      <td>Scarborough</td>\n      <td>Clarks Corners,Sullivan,Tam O'Shanter</td>\n    </tr>\n    <tr>\n      <th>14</th>\n      <td>M1V</td>\n      <td>Scarborough</td>\n      <td>Agincourt North,L'Amoreaux East,Milliken,Steel...</td>\n    </tr>\n    <tr>\n      <th>15</th>\n      <td>M1W</td>\n      <td>Scarborough</td>\n      <td>L'Amoreaux West</td>\n    </tr>\n    <tr>\n      <th>16</th>\n      <td>M1X</td>\n      <td>Scarborough</td>\n      <td>Upper Rouge</td>\n    </tr>\n    <tr>\n      <th>17</th>\n      <td>M2H</td>\n      <td>North York</td>\n      <td>Hillcrest Village</td>\n    </tr>\n    <tr>\n      <th>18</th>\n      <td>M2J</td>\n      <td>North York</td>\n      <td>Fairview,Henry Farm,Oriole</td>\n    </tr>\n    <tr>\n      <th>19</th>\n      <td>M2K</td>\n      <td>North York</td>\n      <td>Bayview Village</td>\n    </tr>\n    <tr>\n      <th>20</th>\n      <td>M2L</td>\n      <td>North York</td>\n      <td>Silver Hills,York Mills</td>\n    </tr>\n    <tr>\n      <th>21</th>\n      <td>M2M</td>\n      <td>North York</td>\n      <td>Newtonbrook,Willowdale</td>\n    </tr>\n    <tr>\n      <th>22</th>\n      <td>M2N</td>\n      <td>North York</td>\n      <td>Willowdale South</td>\n    </tr>\n    <tr>\n      <th>23</th>\n      <td>M2P</td>\n      <td>North York</td>\n      <td>York Mills West</td>\n    </tr>\n    <tr>\n      <th>24</th>\n      <td>M2R</td>\n      <td>North York</td>\n      <td>Willowdale West</td>\n    </tr>\n    <tr>\n      <th>25</th>\n      <td>M3A</td>\n      <td>North York</td>\n      <td>Parkwoods</td>\n    </tr>\n    <tr>\n      <th>26</th>\n      <td>M3B</td>\n      <td>North York</td>\n      <td>Don Mills North</td>\n    </tr>\n    <tr>\n      <th>27</th>\n      <td>M3C</td>\n      <td>North York</td>\n      <td>Flemingdon Park,Don Mills South</td>\n    </tr>\n    <tr>\n      <th>28</th>\n      <td>M3H</td>\n      <td>North York</td>\n      <td>Bathurst Manor,Downsview North,Wilson Heights</td>\n    </tr>\n    <tr>\n      <th>29</th>\n      <td>M3J</td>\n      <td>North York</td>\n      <td>Northwood Park,York University</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>73</th>\n      <td>M6C</td>\n      <td>York</td>\n      <td>Humewood-Cedarvale</td>\n    </tr>\n    <tr>\n      <th>74</th>\n      <td>M6E</td>\n      <td>York</td>\n      <td>Caledonia-Fairbanks</td>\n    </tr>\n    <tr>\n      <th>75</th>\n      <td>M6G</td>\n      <td>Downtown Toronto</td>\n      <td>Christie</td>\n    </tr>\n    <tr>\n      <th>76</th>\n      <td>M6H</td>\n      <td>West Toronto</td>\n      <td>Dovercourt Village,Dufferin</td>\n    </tr>\n    <tr>\n      <th>77</th>\n      <td>M6J</td>\n      <td>West Toronto</td>\n      <td>Little Portugal,Trinity</td>\n    </tr>\n    <tr>\n      <th>78</th>\n      <td>M6K</td>\n      <td>West Toronto</td>\n      <td>Brockton,Exhibition Place,Parkdale Village</td>\n    </tr>\n    <tr>\n      <th>79</th>\n      <td>M6L</td>\n      <td>North York</td>\n      <td>Downsview,North Park,Upwood Park</td>\n    </tr>\n    <tr>\n      <th>80</th>\n      <td>M6M</td>\n      <td>York</td>\n      <td>Del Ray,Keelesdale,Mount Dennis,Silverthorn</td>\n    </tr>\n    <tr>\n      <th>81</th>\n      <td>M6N</td>\n      <td>York</td>\n      <td>The Junction North,Runnymede</td>\n    </tr>\n    <tr>\n      <th>82</th>\n      <td>M6P</td>\n      <td>West Toronto</td>\n      <td>High Park,The Junction South</td>\n    </tr>\n    <tr>\n      <th>83</th>\n      <td>M6R</td>\n      <td>West Toronto</td>\n      <td>Parkdale,Roncesvalles</td>\n    </tr>\n    <tr>\n      <th>84</th>\n      <td>M6S</td>\n      <td>West Toronto</td>\n      <td>Runnymede,Swansea</td>\n    </tr>\n    <tr>\n      <th>85</th>\n      <td>M7A</td>\n      <td>Queen's Park</td>\n      <td>Not assigned</td>\n    </tr>\n    <tr>\n      <th>86</th>\n      <td>M7R</td>\n      <td>Mississauga</td>\n      <td>Canada Post Gateway Processing Centre</td>\n    </tr>\n    <tr>\n      <th>87</th>\n      <td>M7Y</td>\n      <td>East Toronto</td>\n      <td>Business Reply Mail Processing Centre 969 Eastern</td>\n    </tr>\n    <tr>\n      <th>88</th>\n      <td>M8V</td>\n      <td>Etobicoke</td>\n      <td>Humber Bay Shores,Mimico South,New Toronto</td>\n    </tr>\n    <tr>\n      <th>89</th>\n      <td>M8W</td>\n      <td>Etobicoke</td>\n      <td>Alderwood,Long Branch</td>\n    </tr>\n    <tr>\n      <th>90</th>\n      <td>M8X</td>\n      <td>Etobicoke</td>\n      <td>The Kingsway,Montgomery Road,Old Mill North</td>\n    </tr>\n    <tr>\n      <th>91</th>\n      <td>M8Y</td>\n      <td>Etobicoke</td>\n      <td>Humber Bay,King's Mill Park,Kingsway Park Sout...</td>\n    </tr>\n    <tr>\n      <th>92</th>\n      <td>M8Z</td>\n      <td>Etobicoke</td>\n      <td>Kingsway Park South West,Mimico NW,The Queensw...</td>\n    </tr>\n    <tr>\n      <th>93</th>\n      <td>M9A</td>\n      <td>Etobicoke</td>\n      <td>Islington Avenue</td>\n    </tr>\n    <tr>\n      <th>94</th>\n      <td>M9B</td>\n      <td>Etobicoke</td>\n      <td>Cloverdale,Islington,Martin Grove,Princess Gar...</td>\n    </tr>\n    <tr>\n      <th>95</th>\n      <td>M9C</td>\n      <td>Etobicoke</td>\n      <td>Bloordale Gardens,Eringate,Markland Wood,Old B...</td>\n    </tr>\n    <tr>\n      <th>96</th>\n      <td>M9L</td>\n      <td>North York</td>\n      <td>Humber Summit</td>\n    </tr>\n    <tr>\n      <th>97</th>\n      <td>M9M</td>\n      <td>North York</td>\n      <td>Emery,Humberlea</td>\n    </tr>\n    <tr>\n      <th>98</th>\n      <td>M9N</td>\n      <td>York</td>\n      <td>Weston</td>\n    </tr>\n    <tr>\n      <th>99</th>\n      <td>M9P</td>\n      <td>Etobicoke</td>\n      <td>Westmount</td>\n    </tr>\n    <tr>\n      <th>100</th>\n      <td>M9R</td>\n      <td>Etobicoke</td>\n      <td>Kingsview Village,Martin Grove Gardens,Richvie...</td>\n    </tr>\n    <tr>\n      <th>101</th>\n      <td>M9V</td>\n      <td>Etobicoke</td>\n      <td>Albion Gardens,Beaumond Heights,Humbergate,Jam...</td>\n    </tr>\n    <tr>\n      <th>102</th>\n      <td>M9W</td>\n      <td>Etobicoke</td>\n      <td>Northwest</td>\n    </tr>\n  </tbody>\n</table>\n<p>103 rows \u00d7 3 columns</p>\n</div>", 
                        "text/plain": "    Postcode           Borough  \\\n0        M1B       Scarborough   \n1        M1C       Scarborough   \n2        M1E       Scarborough   \n3        M1G       Scarborough   \n4        M1H       Scarborough   \n5        M1J       Scarborough   \n6        M1K       Scarborough   \n7        M1L       Scarborough   \n8        M1M       Scarborough   \n9        M1N       Scarborough   \n10       M1P       Scarborough   \n11       M1R       Scarborough   \n12       M1S       Scarborough   \n13       M1T       Scarborough   \n14       M1V       Scarborough   \n15       M1W       Scarborough   \n16       M1X       Scarborough   \n17       M2H        North York   \n18       M2J        North York   \n19       M2K        North York   \n20       M2L        North York   \n21       M2M        North York   \n22       M2N        North York   \n23       M2P        North York   \n24       M2R        North York   \n25       M3A        North York   \n26       M3B        North York   \n27       M3C        North York   \n28       M3H        North York   \n29       M3J        North York   \n..       ...               ...   \n73       M6C              York   \n74       M6E              York   \n75       M6G  Downtown Toronto   \n76       M6H      West Toronto   \n77       M6J      West Toronto   \n78       M6K      West Toronto   \n79       M6L        North York   \n80       M6M              York   \n81       M6N              York   \n82       M6P      West Toronto   \n83       M6R      West Toronto   \n84       M6S      West Toronto   \n85       M7A      Queen's Park   \n86       M7R       Mississauga   \n87       M7Y      East Toronto   \n88       M8V         Etobicoke   \n89       M8W         Etobicoke   \n90       M8X         Etobicoke   \n91       M8Y         Etobicoke   \n92       M8Z         Etobicoke   \n93       M9A         Etobicoke   \n94       M9B         Etobicoke   \n95       M9C         Etobicoke   \n96       M9L        North York   \n97       M9M        North York   \n98       M9N              York   \n99       M9P         Etobicoke   \n100      M9R         Etobicoke   \n101      M9V         Etobicoke   \n102      M9W         Etobicoke   \n\n                                         Neighbourhood  \n0                                        Rouge,Malvern  \n1                 Highland Creek,Rouge Hill,Port Union  \n2                      Guildwood,Morningside,West Hill  \n3                                               Woburn  \n4                                            Cedarbrae  \n5                                  Scarborough Village  \n6            East Birchmount Park,Ionview,Kennedy Park  \n7                        Clairlea,Golden Mile,Oakridge  \n8        Cliffcrest,Cliffside,Scarborough Village West  \n9                           Birch Cliff,Cliffside West  \n10   Dorset Park,Scarborough Town Centre,Wexford He...  \n11                                    Maryvale,Wexford  \n12                                           Agincourt  \n13               Clarks Corners,Sullivan,Tam O'Shanter  \n14   Agincourt North,L'Amoreaux East,Milliken,Steel...  \n15                                     L'Amoreaux West  \n16                                         Upper Rouge  \n17                                   Hillcrest Village  \n18                          Fairview,Henry Farm,Oriole  \n19                                     Bayview Village  \n20                             Silver Hills,York Mills  \n21                              Newtonbrook,Willowdale  \n22                                    Willowdale South  \n23                                     York Mills West  \n24                                     Willowdale West  \n25                                           Parkwoods  \n26                                     Don Mills North  \n27                     Flemingdon Park,Don Mills South  \n28       Bathurst Manor,Downsview North,Wilson Heights  \n29                      Northwood Park,York University  \n..                                                 ...  \n73                                  Humewood-Cedarvale  \n74                                 Caledonia-Fairbanks  \n75                                            Christie  \n76                         Dovercourt Village,Dufferin  \n77                             Little Portugal,Trinity  \n78          Brockton,Exhibition Place,Parkdale Village  \n79                    Downsview,North Park,Upwood Park  \n80         Del Ray,Keelesdale,Mount Dennis,Silverthorn  \n81                        The Junction North,Runnymede  \n82                        High Park,The Junction South  \n83                               Parkdale,Roncesvalles  \n84                                   Runnymede,Swansea  \n85                                        Not assigned  \n86               Canada Post Gateway Processing Centre  \n87   Business Reply Mail Processing Centre 969 Eastern  \n88          Humber Bay Shores,Mimico South,New Toronto  \n89                               Alderwood,Long Branch  \n90         The Kingsway,Montgomery Road,Old Mill North  \n91   Humber Bay,King's Mill Park,Kingsway Park Sout...  \n92   Kingsway Park South West,Mimico NW,The Queensw...  \n93                                    Islington Avenue  \n94   Cloverdale,Islington,Martin Grove,Princess Gar...  \n95   Bloordale Gardens,Eringate,Markland Wood,Old B...  \n96                                       Humber Summit  \n97                                     Emery,Humberlea  \n98                                              Weston  \n99                                           Westmount  \n100  Kingsview Village,Martin Grove Gardens,Richvie...  \n101  Albion Gardens,Beaumond Heights,Humbergate,Jam...  \n102                                          Northwest  \n\n[103 rows x 3 columns]"
                    }, 
                    "output_type": "execute_result"
                }
            ], 
            "source": "grouped_df = filtered_df.groupby(['Postcode','Borough'], as_index=False)['Neighbourhood'].agg(','.join)\ngrouped_df"
        }, 
        {
            "source": "2d: If a cell has a borough but a Not assigned neighborhood, then the neighborhood will be the same as the borough. So for the 9th cell in the table on the Wikipedia page, the value of the Borough and the Neighborhood columns will be Queen's Park.", 
            "cell_type": "markdown", 
            "metadata": {}
        }, 
        {
            "execution_count": 64, 
            "cell_type": "code", 
            "metadata": {
                "scrolled": false
            }, 
            "outputs": [
                {
                    "execution_count": 64, 
                    "metadata": {}, 
                    "data": {
                        "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Postcode</th>\n      <th>Borough</th>\n      <th>Neighbourhood</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>M1B</td>\n      <td>Scarborough</td>\n      <td>Rouge,Malvern</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>M1C</td>\n      <td>Scarborough</td>\n      <td>Highland Creek,Rouge Hill,Port Union</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>M1E</td>\n      <td>Scarborough</td>\n      <td>Guildwood,Morningside,West Hill</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>M1G</td>\n      <td>Scarborough</td>\n      <td>Woburn</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>M1H</td>\n      <td>Scarborough</td>\n      <td>Cedarbrae</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>M1J</td>\n      <td>Scarborough</td>\n      <td>Scarborough Village</td>\n    </tr>\n    <tr>\n      <th>6</th>\n      <td>M1K</td>\n      <td>Scarborough</td>\n      <td>East Birchmount Park,Ionview,Kennedy Park</td>\n    </tr>\n    <tr>\n      <th>7</th>\n      <td>M1L</td>\n      <td>Scarborough</td>\n      <td>Clairlea,Golden Mile,Oakridge</td>\n    </tr>\n    <tr>\n      <th>8</th>\n      <td>M1M</td>\n      <td>Scarborough</td>\n      <td>Cliffcrest,Cliffside,Scarborough Village West</td>\n    </tr>\n    <tr>\n      <th>9</th>\n      <td>M1N</td>\n      <td>Scarborough</td>\n      <td>Birch Cliff,Cliffside West</td>\n    </tr>\n    <tr>\n      <th>10</th>\n      <td>M1P</td>\n      <td>Scarborough</td>\n      <td>Dorset Park,Scarborough Town Centre,Wexford He...</td>\n    </tr>\n    <tr>\n      <th>11</th>\n      <td>M1R</td>\n      <td>Scarborough</td>\n      <td>Maryvale,Wexford</td>\n    </tr>\n    <tr>\n      <th>12</th>\n      <td>M1S</td>\n      <td>Scarborough</td>\n      <td>Agincourt</td>\n    </tr>\n    <tr>\n      <th>13</th>\n      <td>M1T</td>\n      <td>Scarborough</td>\n      <td>Clarks Corners,Sullivan,Tam O'Shanter</td>\n    </tr>\n    <tr>\n      <th>14</th>\n      <td>M1V</td>\n      <td>Scarborough</td>\n      <td>Agincourt North,L'Amoreaux East,Milliken,Steel...</td>\n    </tr>\n    <tr>\n      <th>15</th>\n      <td>M1W</td>\n      <td>Scarborough</td>\n      <td>L'Amoreaux West</td>\n    </tr>\n    <tr>\n      <th>16</th>\n      <td>M1X</td>\n      <td>Scarborough</td>\n      <td>Upper Rouge</td>\n    </tr>\n    <tr>\n      <th>17</th>\n      <td>M2H</td>\n      <td>North York</td>\n      <td>Hillcrest Village</td>\n    </tr>\n    <tr>\n      <th>18</th>\n      <td>M2J</td>\n      <td>North York</td>\n      <td>Fairview,Henry Farm,Oriole</td>\n    </tr>\n    <tr>\n      <th>19</th>\n      <td>M2K</td>\n      <td>North York</td>\n      <td>Bayview Village</td>\n    </tr>\n    <tr>\n      <th>20</th>\n      <td>M2L</td>\n      <td>North York</td>\n      <td>Silver Hills,York Mills</td>\n    </tr>\n    <tr>\n      <th>21</th>\n      <td>M2M</td>\n      <td>North York</td>\n      <td>Newtonbrook,Willowdale</td>\n    </tr>\n    <tr>\n      <th>22</th>\n      <td>M2N</td>\n      <td>North York</td>\n      <td>Willowdale South</td>\n    </tr>\n    <tr>\n      <th>23</th>\n      <td>M2P</td>\n      <td>North York</td>\n      <td>York Mills West</td>\n    </tr>\n    <tr>\n      <th>24</th>\n      <td>M2R</td>\n      <td>North York</td>\n      <td>Willowdale West</td>\n    </tr>\n    <tr>\n      <th>25</th>\n      <td>M3A</td>\n      <td>North York</td>\n      <td>Parkwoods</td>\n    </tr>\n    <tr>\n      <th>26</th>\n      <td>M3B</td>\n      <td>North York</td>\n      <td>Don Mills North</td>\n    </tr>\n    <tr>\n      <th>27</th>\n      <td>M3C</td>\n      <td>North York</td>\n      <td>Flemingdon Park,Don Mills South</td>\n    </tr>\n    <tr>\n      <th>28</th>\n      <td>M3H</td>\n      <td>North York</td>\n      <td>Bathurst Manor,Downsview North,Wilson Heights</td>\n    </tr>\n    <tr>\n      <th>29</th>\n      <td>M3J</td>\n      <td>North York</td>\n      <td>Northwood Park,York University</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>73</th>\n      <td>M6C</td>\n      <td>York</td>\n      <td>Humewood-Cedarvale</td>\n    </tr>\n    <tr>\n      <th>74</th>\n      <td>M6E</td>\n      <td>York</td>\n      <td>Caledonia-Fairbanks</td>\n    </tr>\n    <tr>\n      <th>75</th>\n      <td>M6G</td>\n      <td>Downtown Toronto</td>\n      <td>Christie</td>\n    </tr>\n    <tr>\n      <th>76</th>\n      <td>M6H</td>\n      <td>West Toronto</td>\n      <td>Dovercourt Village,Dufferin</td>\n    </tr>\n    <tr>\n      <th>77</th>\n      <td>M6J</td>\n      <td>West Toronto</td>\n      <td>Little Portugal,Trinity</td>\n    </tr>\n    <tr>\n      <th>78</th>\n      <td>M6K</td>\n      <td>West Toronto</td>\n      <td>Brockton,Exhibition Place,Parkdale Village</td>\n    </tr>\n    <tr>\n      <th>79</th>\n      <td>M6L</td>\n      <td>North York</td>\n      <td>Downsview,North Park,Upwood Park</td>\n    </tr>\n    <tr>\n      <th>80</th>\n      <td>M6M</td>\n      <td>York</td>\n      <td>Del Ray,Keelesdale,Mount Dennis,Silverthorn</td>\n    </tr>\n    <tr>\n      <th>81</th>\n      <td>M6N</td>\n      <td>York</td>\n      <td>The Junction North,Runnymede</td>\n    </tr>\n    <tr>\n      <th>82</th>\n      <td>M6P</td>\n      <td>West Toronto</td>\n      <td>High Park,The Junction South</td>\n    </tr>\n    <tr>\n      <th>83</th>\n      <td>M6R</td>\n      <td>West Toronto</td>\n      <td>Parkdale,Roncesvalles</td>\n    </tr>\n    <tr>\n      <th>84</th>\n      <td>M6S</td>\n      <td>West Toronto</td>\n      <td>Runnymede,Swansea</td>\n    </tr>\n    <tr>\n      <th>85</th>\n      <td>M7A</td>\n      <td>Queen's Park</td>\n      <td>Queen's Park</td>\n    </tr>\n    <tr>\n      <th>86</th>\n      <td>M7R</td>\n      <td>Mississauga</td>\n      <td>Canada Post Gateway Processing Centre</td>\n    </tr>\n    <tr>\n      <th>87</th>\n      <td>M7Y</td>\n      <td>East Toronto</td>\n      <td>Business Reply Mail Processing Centre 969 Eastern</td>\n    </tr>\n    <tr>\n      <th>88</th>\n      <td>M8V</td>\n      <td>Etobicoke</td>\n      <td>Humber Bay Shores,Mimico South,New Toronto</td>\n    </tr>\n    <tr>\n      <th>89</th>\n      <td>M8W</td>\n      <td>Etobicoke</td>\n      <td>Alderwood,Long Branch</td>\n    </tr>\n    <tr>\n      <th>90</th>\n      <td>M8X</td>\n      <td>Etobicoke</td>\n      <td>The Kingsway,Montgomery Road,Old Mill North</td>\n    </tr>\n    <tr>\n      <th>91</th>\n      <td>M8Y</td>\n      <td>Etobicoke</td>\n      <td>Humber Bay,King's Mill Park,Kingsway Park Sout...</td>\n    </tr>\n    <tr>\n      <th>92</th>\n      <td>M8Z</td>\n      <td>Etobicoke</td>\n      <td>Kingsway Park South West,Mimico NW,The Queensw...</td>\n    </tr>\n    <tr>\n      <th>93</th>\n      <td>M9A</td>\n      <td>Etobicoke</td>\n      <td>Islington Avenue</td>\n    </tr>\n    <tr>\n      <th>94</th>\n      <td>M9B</td>\n      <td>Etobicoke</td>\n      <td>Cloverdale,Islington,Martin Grove,Princess Gar...</td>\n    </tr>\n    <tr>\n      <th>95</th>\n      <td>M9C</td>\n      <td>Etobicoke</td>\n      <td>Bloordale Gardens,Eringate,Markland Wood,Old B...</td>\n    </tr>\n    <tr>\n      <th>96</th>\n      <td>M9L</td>\n      <td>North York</td>\n      <td>Humber Summit</td>\n    </tr>\n    <tr>\n      <th>97</th>\n      <td>M9M</td>\n      <td>North York</td>\n      <td>Emery,Humberlea</td>\n    </tr>\n    <tr>\n      <th>98</th>\n      <td>M9N</td>\n      <td>York</td>\n      <td>Weston</td>\n    </tr>\n    <tr>\n      <th>99</th>\n      <td>M9P</td>\n      <td>Etobicoke</td>\n      <td>Westmount</td>\n    </tr>\n    <tr>\n      <th>100</th>\n      <td>M9R</td>\n      <td>Etobicoke</td>\n      <td>Kingsview Village,Martin Grove Gardens,Richvie...</td>\n    </tr>\n    <tr>\n      <th>101</th>\n      <td>M9V</td>\n      <td>Etobicoke</td>\n      <td>Albion Gardens,Beaumond Heights,Humbergate,Jam...</td>\n    </tr>\n    <tr>\n      <th>102</th>\n      <td>M9W</td>\n      <td>Etobicoke</td>\n      <td>Northwest</td>\n    </tr>\n  </tbody>\n</table>\n<p>103 rows \u00d7 3 columns</p>\n</div>", 
                        "text/plain": "    Postcode           Borough  \\\n0        M1B       Scarborough   \n1        M1C       Scarborough   \n2        M1E       Scarborough   \n3        M1G       Scarborough   \n4        M1H       Scarborough   \n5        M1J       Scarborough   \n6        M1K       Scarborough   \n7        M1L       Scarborough   \n8        M1M       Scarborough   \n9        M1N       Scarborough   \n10       M1P       Scarborough   \n11       M1R       Scarborough   \n12       M1S       Scarborough   \n13       M1T       Scarborough   \n14       M1V       Scarborough   \n15       M1W       Scarborough   \n16       M1X       Scarborough   \n17       M2H        North York   \n18       M2J        North York   \n19       M2K        North York   \n20       M2L        North York   \n21       M2M        North York   \n22       M2N        North York   \n23       M2P        North York   \n24       M2R        North York   \n25       M3A        North York   \n26       M3B        North York   \n27       M3C        North York   \n28       M3H        North York   \n29       M3J        North York   \n..       ...               ...   \n73       M6C              York   \n74       M6E              York   \n75       M6G  Downtown Toronto   \n76       M6H      West Toronto   \n77       M6J      West Toronto   \n78       M6K      West Toronto   \n79       M6L        North York   \n80       M6M              York   \n81       M6N              York   \n82       M6P      West Toronto   \n83       M6R      West Toronto   \n84       M6S      West Toronto   \n85       M7A      Queen's Park   \n86       M7R       Mississauga   \n87       M7Y      East Toronto   \n88       M8V         Etobicoke   \n89       M8W         Etobicoke   \n90       M8X         Etobicoke   \n91       M8Y         Etobicoke   \n92       M8Z         Etobicoke   \n93       M9A         Etobicoke   \n94       M9B         Etobicoke   \n95       M9C         Etobicoke   \n96       M9L        North York   \n97       M9M        North York   \n98       M9N              York   \n99       M9P         Etobicoke   \n100      M9R         Etobicoke   \n101      M9V         Etobicoke   \n102      M9W         Etobicoke   \n\n                                         Neighbourhood  \n0                                        Rouge,Malvern  \n1                 Highland Creek,Rouge Hill,Port Union  \n2                      Guildwood,Morningside,West Hill  \n3                                               Woburn  \n4                                            Cedarbrae  \n5                                  Scarborough Village  \n6            East Birchmount Park,Ionview,Kennedy Park  \n7                        Clairlea,Golden Mile,Oakridge  \n8        Cliffcrest,Cliffside,Scarborough Village West  \n9                           Birch Cliff,Cliffside West  \n10   Dorset Park,Scarborough Town Centre,Wexford He...  \n11                                    Maryvale,Wexford  \n12                                           Agincourt  \n13               Clarks Corners,Sullivan,Tam O'Shanter  \n14   Agincourt North,L'Amoreaux East,Milliken,Steel...  \n15                                     L'Amoreaux West  \n16                                         Upper Rouge  \n17                                   Hillcrest Village  \n18                          Fairview,Henry Farm,Oriole  \n19                                     Bayview Village  \n20                             Silver Hills,York Mills  \n21                              Newtonbrook,Willowdale  \n22                                    Willowdale South  \n23                                     York Mills West  \n24                                     Willowdale West  \n25                                           Parkwoods  \n26                                     Don Mills North  \n27                     Flemingdon Park,Don Mills South  \n28       Bathurst Manor,Downsview North,Wilson Heights  \n29                      Northwood Park,York University  \n..                                                 ...  \n73                                  Humewood-Cedarvale  \n74                                 Caledonia-Fairbanks  \n75                                            Christie  \n76                         Dovercourt Village,Dufferin  \n77                             Little Portugal,Trinity  \n78          Brockton,Exhibition Place,Parkdale Village  \n79                    Downsview,North Park,Upwood Park  \n80         Del Ray,Keelesdale,Mount Dennis,Silverthorn  \n81                        The Junction North,Runnymede  \n82                        High Park,The Junction South  \n83                               Parkdale,Roncesvalles  \n84                                   Runnymede,Swansea  \n85                                        Queen's Park  \n86               Canada Post Gateway Processing Centre  \n87   Business Reply Mail Processing Centre 969 Eastern  \n88          Humber Bay Shores,Mimico South,New Toronto  \n89                               Alderwood,Long Branch  \n90         The Kingsway,Montgomery Road,Old Mill North  \n91   Humber Bay,King's Mill Park,Kingsway Park Sout...  \n92   Kingsway Park South West,Mimico NW,The Queensw...  \n93                                    Islington Avenue  \n94   Cloverdale,Islington,Martin Grove,Princess Gar...  \n95   Bloordale Gardens,Eringate,Markland Wood,Old B...  \n96                                       Humber Summit  \n97                                     Emery,Humberlea  \n98                                              Weston  \n99                                           Westmount  \n100  Kingsview Village,Martin Grove Gardens,Richvie...  \n101  Albion Gardens,Beaumond Heights,Humbergate,Jam...  \n102                                          Northwest  \n\n[103 rows x 3 columns]"
                    }, 
                    "output_type": "execute_result"
                }
            ], 
            "source": "grouped_df.Neighbourhood.replace('Not assigned',grouped_df.Borough, inplace=True)\ngrouped_df"
        }, 
        {
            "source": "2e: Use the .shape method to print the number of rows of your dataframe", 
            "cell_type": "markdown", 
            "metadata": {}
        }, 
        {
            "execution_count": 66, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [
                {
                    "execution_count": 66, 
                    "metadata": {}, 
                    "data": {
                        "text/plain": "(103, 3)"
                    }, 
                    "output_type": "execute_result"
                }
            ], 
            "source": "grouped_df.shape"
        }, 
        {
            "source": "3. Get the latitude and the longitude coordinates of each neighborhood using Geocoder Python package", 
            "cell_type": "markdown", 
            "metadata": {}
        }, 
        {
            "execution_count": 75, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [
                {
                    "execution_count": 75, 
                    "metadata": {}, 
                    "data": {
                        "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Postcode</th>\n      <th>Latitude</th>\n      <th>Longitude</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>M1B</td>\n      <td>43.806686</td>\n      <td>-79.194353</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>M1C</td>\n      <td>43.784535</td>\n      <td>-79.160497</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>M1E</td>\n      <td>43.763573</td>\n      <td>-79.188711</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>M1G</td>\n      <td>43.770992</td>\n      <td>-79.216917</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>M1H</td>\n      <td>43.773136</td>\n      <td>-79.239476</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>M1J</td>\n      <td>43.744734</td>\n      <td>-79.239476</td>\n    </tr>\n    <tr>\n      <th>6</th>\n      <td>M1K</td>\n      <td>43.727929</td>\n      <td>-79.262029</td>\n    </tr>\n    <tr>\n      <th>7</th>\n      <td>M1L</td>\n      <td>43.711112</td>\n      <td>-79.284577</td>\n    </tr>\n    <tr>\n      <th>8</th>\n      <td>M1M</td>\n      <td>43.716316</td>\n      <td>-79.239476</td>\n    </tr>\n    <tr>\n      <th>9</th>\n      <td>M1N</td>\n      <td>43.692657</td>\n      <td>-79.264848</td>\n    </tr>\n    <tr>\n      <th>10</th>\n      <td>M1P</td>\n      <td>43.757410</td>\n      <td>-79.273304</td>\n    </tr>\n    <tr>\n      <th>11</th>\n      <td>M1R</td>\n      <td>43.750072</td>\n      <td>-79.295849</td>\n    </tr>\n    <tr>\n      <th>12</th>\n      <td>M1S</td>\n      <td>43.794200</td>\n      <td>-79.262029</td>\n    </tr>\n    <tr>\n      <th>13</th>\n      <td>M1T</td>\n      <td>43.781638</td>\n      <td>-79.304302</td>\n    </tr>\n    <tr>\n      <th>14</th>\n      <td>M1V</td>\n      <td>43.815252</td>\n      <td>-79.284577</td>\n    </tr>\n    <tr>\n      <th>15</th>\n      <td>M1W</td>\n      <td>43.799525</td>\n      <td>-79.318389</td>\n    </tr>\n    <tr>\n      <th>16</th>\n      <td>M1X</td>\n      <td>43.836125</td>\n      <td>-79.205636</td>\n    </tr>\n    <tr>\n      <th>17</th>\n      <td>M2H</td>\n      <td>43.803762</td>\n      <td>-79.363452</td>\n    </tr>\n    <tr>\n      <th>18</th>\n      <td>M2J</td>\n      <td>43.778517</td>\n      <td>-79.346556</td>\n    </tr>\n    <tr>\n      <th>19</th>\n      <td>M2K</td>\n      <td>43.786947</td>\n      <td>-79.385975</td>\n    </tr>\n    <tr>\n      <th>20</th>\n      <td>M2L</td>\n      <td>43.757490</td>\n      <td>-79.374714</td>\n    </tr>\n    <tr>\n      <th>21</th>\n      <td>M2M</td>\n      <td>43.789053</td>\n      <td>-79.408493</td>\n    </tr>\n    <tr>\n      <th>22</th>\n      <td>M2N</td>\n      <td>43.770120</td>\n      <td>-79.408493</td>\n    </tr>\n    <tr>\n      <th>23</th>\n      <td>M2P</td>\n      <td>43.752758</td>\n      <td>-79.400049</td>\n    </tr>\n    <tr>\n      <th>24</th>\n      <td>M2R</td>\n      <td>43.782736</td>\n      <td>-79.442259</td>\n    </tr>\n    <tr>\n      <th>25</th>\n      <td>M3A</td>\n      <td>43.753259</td>\n      <td>-79.329656</td>\n    </tr>\n    <tr>\n      <th>26</th>\n      <td>M3B</td>\n      <td>43.745906</td>\n      <td>-79.352188</td>\n    </tr>\n    <tr>\n      <th>27</th>\n      <td>M3C</td>\n      <td>43.725900</td>\n      <td>-79.340923</td>\n    </tr>\n    <tr>\n      <th>28</th>\n      <td>M3H</td>\n      <td>43.754328</td>\n      <td>-79.442259</td>\n    </tr>\n    <tr>\n      <th>29</th>\n      <td>M3J</td>\n      <td>43.767980</td>\n      <td>-79.487262</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>73</th>\n      <td>M6C</td>\n      <td>43.693781</td>\n      <td>-79.428191</td>\n    </tr>\n    <tr>\n      <th>74</th>\n      <td>M6E</td>\n      <td>43.689026</td>\n      <td>-79.453512</td>\n    </tr>\n    <tr>\n      <th>75</th>\n      <td>M6G</td>\n      <td>43.669542</td>\n      <td>-79.422564</td>\n    </tr>\n    <tr>\n      <th>76</th>\n      <td>M6H</td>\n      <td>43.669005</td>\n      <td>-79.442259</td>\n    </tr>\n    <tr>\n      <th>77</th>\n      <td>M6J</td>\n      <td>43.647927</td>\n      <td>-79.419750</td>\n    </tr>\n    <tr>\n      <th>78</th>\n      <td>M6K</td>\n      <td>43.636847</td>\n      <td>-79.428191</td>\n    </tr>\n    <tr>\n      <th>79</th>\n      <td>M6L</td>\n      <td>43.713756</td>\n      <td>-79.490074</td>\n    </tr>\n    <tr>\n      <th>80</th>\n      <td>M6M</td>\n      <td>43.691116</td>\n      <td>-79.476013</td>\n    </tr>\n    <tr>\n      <th>81</th>\n      <td>M6N</td>\n      <td>43.673185</td>\n      <td>-79.487262</td>\n    </tr>\n    <tr>\n      <th>82</th>\n      <td>M6P</td>\n      <td>43.661608</td>\n      <td>-79.464763</td>\n    </tr>\n    <tr>\n      <th>83</th>\n      <td>M6R</td>\n      <td>43.648960</td>\n      <td>-79.456325</td>\n    </tr>\n    <tr>\n      <th>84</th>\n      <td>M6S</td>\n      <td>43.651571</td>\n      <td>-79.484450</td>\n    </tr>\n    <tr>\n      <th>85</th>\n      <td>M7A</td>\n      <td>43.662301</td>\n      <td>-79.389494</td>\n    </tr>\n    <tr>\n      <th>86</th>\n      <td>M7R</td>\n      <td>43.636966</td>\n      <td>-79.615819</td>\n    </tr>\n    <tr>\n      <th>87</th>\n      <td>M7Y</td>\n      <td>43.662744</td>\n      <td>-79.321558</td>\n    </tr>\n    <tr>\n      <th>88</th>\n      <td>M8V</td>\n      <td>43.605647</td>\n      <td>-79.501321</td>\n    </tr>\n    <tr>\n      <th>89</th>\n      <td>M8W</td>\n      <td>43.602414</td>\n      <td>-79.543484</td>\n    </tr>\n    <tr>\n      <th>90</th>\n      <td>M8X</td>\n      <td>43.653654</td>\n      <td>-79.506944</td>\n    </tr>\n    <tr>\n      <th>91</th>\n      <td>M8Y</td>\n      <td>43.636258</td>\n      <td>-79.498509</td>\n    </tr>\n    <tr>\n      <th>92</th>\n      <td>M8Z</td>\n      <td>43.628841</td>\n      <td>-79.520999</td>\n    </tr>\n    <tr>\n      <th>93</th>\n      <td>M9A</td>\n      <td>43.667856</td>\n      <td>-79.532242</td>\n    </tr>\n    <tr>\n      <th>94</th>\n      <td>M9B</td>\n      <td>43.650943</td>\n      <td>-79.554724</td>\n    </tr>\n    <tr>\n      <th>95</th>\n      <td>M9C</td>\n      <td>43.643515</td>\n      <td>-79.577201</td>\n    </tr>\n    <tr>\n      <th>96</th>\n      <td>M9L</td>\n      <td>43.756303</td>\n      <td>-79.565963</td>\n    </tr>\n    <tr>\n      <th>97</th>\n      <td>M9M</td>\n      <td>43.724766</td>\n      <td>-79.532242</td>\n    </tr>\n    <tr>\n      <th>98</th>\n      <td>M9N</td>\n      <td>43.706876</td>\n      <td>-79.518188</td>\n    </tr>\n    <tr>\n      <th>99</th>\n      <td>M9P</td>\n      <td>43.696319</td>\n      <td>-79.532242</td>\n    </tr>\n    <tr>\n      <th>100</th>\n      <td>M9R</td>\n      <td>43.688905</td>\n      <td>-79.554724</td>\n    </tr>\n    <tr>\n      <th>101</th>\n      <td>M9V</td>\n      <td>43.739416</td>\n      <td>-79.588437</td>\n    </tr>\n    <tr>\n      <th>102</th>\n      <td>M9W</td>\n      <td>43.706748</td>\n      <td>-79.594054</td>\n    </tr>\n  </tbody>\n</table>\n<p>103 rows \u00d7 3 columns</p>\n</div>", 
                        "text/plain": "    Postcode   Latitude  Longitude\n0        M1B  43.806686 -79.194353\n1        M1C  43.784535 -79.160497\n2        M1E  43.763573 -79.188711\n3        M1G  43.770992 -79.216917\n4        M1H  43.773136 -79.239476\n5        M1J  43.744734 -79.239476\n6        M1K  43.727929 -79.262029\n7        M1L  43.711112 -79.284577\n8        M1M  43.716316 -79.239476\n9        M1N  43.692657 -79.264848\n10       M1P  43.757410 -79.273304\n11       M1R  43.750072 -79.295849\n12       M1S  43.794200 -79.262029\n13       M1T  43.781638 -79.304302\n14       M1V  43.815252 -79.284577\n15       M1W  43.799525 -79.318389\n16       M1X  43.836125 -79.205636\n17       M2H  43.803762 -79.363452\n18       M2J  43.778517 -79.346556\n19       M2K  43.786947 -79.385975\n20       M2L  43.757490 -79.374714\n21       M2M  43.789053 -79.408493\n22       M2N  43.770120 -79.408493\n23       M2P  43.752758 -79.400049\n24       M2R  43.782736 -79.442259\n25       M3A  43.753259 -79.329656\n26       M3B  43.745906 -79.352188\n27       M3C  43.725900 -79.340923\n28       M3H  43.754328 -79.442259\n29       M3J  43.767980 -79.487262\n..       ...        ...        ...\n73       M6C  43.693781 -79.428191\n74       M6E  43.689026 -79.453512\n75       M6G  43.669542 -79.422564\n76       M6H  43.669005 -79.442259\n77       M6J  43.647927 -79.419750\n78       M6K  43.636847 -79.428191\n79       M6L  43.713756 -79.490074\n80       M6M  43.691116 -79.476013\n81       M6N  43.673185 -79.487262\n82       M6P  43.661608 -79.464763\n83       M6R  43.648960 -79.456325\n84       M6S  43.651571 -79.484450\n85       M7A  43.662301 -79.389494\n86       M7R  43.636966 -79.615819\n87       M7Y  43.662744 -79.321558\n88       M8V  43.605647 -79.501321\n89       M8W  43.602414 -79.543484\n90       M8X  43.653654 -79.506944\n91       M8Y  43.636258 -79.498509\n92       M8Z  43.628841 -79.520999\n93       M9A  43.667856 -79.532242\n94       M9B  43.650943 -79.554724\n95       M9C  43.643515 -79.577201\n96       M9L  43.756303 -79.565963\n97       M9M  43.724766 -79.532242\n98       M9N  43.706876 -79.518188\n99       M9P  43.696319 -79.532242\n100      M9R  43.688905 -79.554724\n101      M9V  43.739416 -79.588437\n102      M9W  43.706748 -79.594054\n\n[103 rows x 3 columns]"
                    }, 
                    "output_type": "execute_result"
                }
            ], 
            "source": "Geo_url = 'http://cocl.us/Geospatial_data'\ngeo_data = pd.read_csv(Geo_url,header=0)\ngeo_data.rename(columns={'Postal Code': 'Postcode'}, inplace=True)\ngeo_data"
        }, 
        {
            "source": "4. Combine the two dataframes into one", 
            "cell_type": "markdown", 
            "metadata": {}
        }, 
        {
            "execution_count": 76, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [
                {
                    "execution_count": 76, 
                    "metadata": {}, 
                    "data": {
                        "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Postcode</th>\n      <th>Borough</th>\n      <th>Neighbourhood</th>\n      <th>Latitude</th>\n      <th>Longitude</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>M1B</td>\n      <td>Scarborough</td>\n      <td>Rouge,Malvern</td>\n      <td>43.806686</td>\n      <td>-79.194353</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>M1C</td>\n      <td>Scarborough</td>\n      <td>Highland Creek,Rouge Hill,Port Union</td>\n      <td>43.784535</td>\n      <td>-79.160497</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>M1E</td>\n      <td>Scarborough</td>\n      <td>Guildwood,Morningside,West Hill</td>\n      <td>43.763573</td>\n      <td>-79.188711</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>M1G</td>\n      <td>Scarborough</td>\n      <td>Woburn</td>\n      <td>43.770992</td>\n      <td>-79.216917</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>M1H</td>\n      <td>Scarborough</td>\n      <td>Cedarbrae</td>\n      <td>43.773136</td>\n      <td>-79.239476</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>M1J</td>\n      <td>Scarborough</td>\n      <td>Scarborough Village</td>\n      <td>43.744734</td>\n      <td>-79.239476</td>\n    </tr>\n    <tr>\n      <th>6</th>\n      <td>M1K</td>\n      <td>Scarborough</td>\n      <td>East Birchmount Park,Ionview,Kennedy Park</td>\n      <td>43.727929</td>\n      <td>-79.262029</td>\n    </tr>\n    <tr>\n      <th>7</th>\n      <td>M1L</td>\n      <td>Scarborough</td>\n      <td>Clairlea,Golden Mile,Oakridge</td>\n      <td>43.711112</td>\n      <td>-79.284577</td>\n    </tr>\n    <tr>\n      <th>8</th>\n      <td>M1M</td>\n      <td>Scarborough</td>\n      <td>Cliffcrest,Cliffside,Scarborough Village West</td>\n      <td>43.716316</td>\n      <td>-79.239476</td>\n    </tr>\n    <tr>\n      <th>9</th>\n      <td>M1N</td>\n      <td>Scarborough</td>\n      <td>Birch Cliff,Cliffside West</td>\n      <td>43.692657</td>\n      <td>-79.264848</td>\n    </tr>\n    <tr>\n      <th>10</th>\n      <td>M1P</td>\n      <td>Scarborough</td>\n      <td>Dorset Park,Scarborough Town Centre,Wexford He...</td>\n      <td>43.757410</td>\n      <td>-79.273304</td>\n    </tr>\n    <tr>\n      <th>11</th>\n      <td>M1R</td>\n      <td>Scarborough</td>\n      <td>Maryvale,Wexford</td>\n      <td>43.750072</td>\n      <td>-79.295849</td>\n    </tr>\n    <tr>\n      <th>12</th>\n      <td>M1S</td>\n      <td>Scarborough</td>\n      <td>Agincourt</td>\n      <td>43.794200</td>\n      <td>-79.262029</td>\n    </tr>\n    <tr>\n      <th>13</th>\n      <td>M1T</td>\n      <td>Scarborough</td>\n      <td>Clarks Corners,Sullivan,Tam O'Shanter</td>\n      <td>43.781638</td>\n      <td>-79.304302</td>\n    </tr>\n    <tr>\n      <th>14</th>\n      <td>M1V</td>\n      <td>Scarborough</td>\n      <td>Agincourt North,L'Amoreaux East,Milliken,Steel...</td>\n      <td>43.815252</td>\n      <td>-79.284577</td>\n    </tr>\n    <tr>\n      <th>15</th>\n      <td>M1W</td>\n      <td>Scarborough</td>\n      <td>L'Amoreaux West</td>\n      <td>43.799525</td>\n      <td>-79.318389</td>\n    </tr>\n    <tr>\n      <th>16</th>\n      <td>M1X</td>\n      <td>Scarborough</td>\n      <td>Upper Rouge</td>\n      <td>43.836125</td>\n      <td>-79.205636</td>\n    </tr>\n    <tr>\n      <th>17</th>\n      <td>M2H</td>\n      <td>North York</td>\n      <td>Hillcrest Village</td>\n      <td>43.803762</td>\n      <td>-79.363452</td>\n    </tr>\n    <tr>\n      <th>18</th>\n      <td>M2J</td>\n      <td>North York</td>\n      <td>Fairview,Henry Farm,Oriole</td>\n      <td>43.778517</td>\n      <td>-79.346556</td>\n    </tr>\n    <tr>\n      <th>19</th>\n      <td>M2K</td>\n      <td>North York</td>\n      <td>Bayview Village</td>\n      <td>43.786947</td>\n      <td>-79.385975</td>\n    </tr>\n    <tr>\n      <th>20</th>\n      <td>M2L</td>\n      <td>North York</td>\n      <td>Silver Hills,York Mills</td>\n      <td>43.757490</td>\n      <td>-79.374714</td>\n    </tr>\n    <tr>\n      <th>21</th>\n      <td>M2M</td>\n      <td>North York</td>\n      <td>Newtonbrook,Willowdale</td>\n      <td>43.789053</td>\n      <td>-79.408493</td>\n    </tr>\n    <tr>\n      <th>22</th>\n      <td>M2N</td>\n      <td>North York</td>\n      <td>Willowdale South</td>\n      <td>43.770120</td>\n      <td>-79.408493</td>\n    </tr>\n    <tr>\n      <th>23</th>\n      <td>M2P</td>\n      <td>North York</td>\n      <td>York Mills West</td>\n      <td>43.752758</td>\n      <td>-79.400049</td>\n    </tr>\n    <tr>\n      <th>24</th>\n      <td>M2R</td>\n      <td>North York</td>\n      <td>Willowdale West</td>\n      <td>43.782736</td>\n      <td>-79.442259</td>\n    </tr>\n    <tr>\n      <th>25</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>26</th>\n      <td>M3B</td>\n      <td>North York</td>\n      <td>Don Mills North</td>\n      <td>43.745906</td>\n      <td>-79.352188</td>\n    </tr>\n    <tr>\n      <th>27</th>\n      <td>M3C</td>\n      <td>North York</td>\n      <td>Flemingdon Park,Don Mills South</td>\n      <td>43.725900</td>\n      <td>-79.340923</td>\n    </tr>\n    <tr>\n      <th>28</th>\n      <td>M3H</td>\n      <td>North York</td>\n      <td>Bathurst Manor,Downsview North,Wilson Heights</td>\n      <td>43.754328</td>\n      <td>-79.442259</td>\n    </tr>\n    <tr>\n      <th>29</th>\n      <td>M3J</td>\n      <td>North York</td>\n      <td>Northwood Park,York University</td>\n      <td>43.767980</td>\n      <td>-79.487262</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>73</th>\n      <td>M6C</td>\n      <td>York</td>\n      <td>Humewood-Cedarvale</td>\n      <td>43.693781</td>\n      <td>-79.428191</td>\n    </tr>\n    <tr>\n      <th>74</th>\n      <td>M6E</td>\n      <td>York</td>\n      <td>Caledonia-Fairbanks</td>\n      <td>43.689026</td>\n      <td>-79.453512</td>\n    </tr>\n    <tr>\n      <th>75</th>\n      <td>M6G</td>\n      <td>Downtown Toronto</td>\n      <td>Christie</td>\n      <td>43.669542</td>\n      <td>-79.422564</td>\n    </tr>\n    <tr>\n      <th>76</th>\n      <td>M6H</td>\n      <td>West Toronto</td>\n      <td>Dovercourt Village,Dufferin</td>\n      <td>43.669005</td>\n      <td>-79.442259</td>\n    </tr>\n    <tr>\n      <th>77</th>\n      <td>M6J</td>\n      <td>West Toronto</td>\n      <td>Little Portugal,Trinity</td>\n      <td>43.647927</td>\n      <td>-79.419750</td>\n    </tr>\n    <tr>\n      <th>78</th>\n      <td>M6K</td>\n      <td>West Toronto</td>\n      <td>Brockton,Exhibition Place,Parkdale Village</td>\n      <td>43.636847</td>\n      <td>-79.428191</td>\n    </tr>\n    <tr>\n      <th>79</th>\n      <td>M6L</td>\n      <td>North York</td>\n      <td>Downsview,North Park,Upwood Park</td>\n      <td>43.713756</td>\n      <td>-79.490074</td>\n    </tr>\n    <tr>\n      <th>80</th>\n      <td>M6M</td>\n      <td>York</td>\n      <td>Del Ray,Keelesdale,Mount Dennis,Silverthorn</td>\n      <td>43.691116</td>\n      <td>-79.476013</td>\n    </tr>\n    <tr>\n      <th>81</th>\n      <td>M6N</td>\n      <td>York</td>\n      <td>The Junction North,Runnymede</td>\n      <td>43.673185</td>\n      <td>-79.487262</td>\n    </tr>\n    <tr>\n      <th>82</th>\n      <td>M6P</td>\n      <td>West Toronto</td>\n      <td>High Park,The Junction South</td>\n      <td>43.661608</td>\n      <td>-79.464763</td>\n    </tr>\n    <tr>\n      <th>83</th>\n      <td>M6R</td>\n      <td>West Toronto</td>\n      <td>Parkdale,Roncesvalles</td>\n      <td>43.648960</td>\n      <td>-79.456325</td>\n    </tr>\n    <tr>\n      <th>84</th>\n      <td>M6S</td>\n      <td>West Toronto</td>\n      <td>Runnymede,Swansea</td>\n      <td>43.651571</td>\n      <td>-79.484450</td>\n    </tr>\n    <tr>\n      <th>85</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    </tr>\n    <tr>\n      <th>86</th>\n      <td>M7R</td>\n      <td>Mississauga</td>\n      <td>Canada Post Gateway Processing Centre</td>\n      <td>43.636966</td>\n      <td>-79.615819</td>\n    </tr>\n    <tr>\n      <th>87</th>\n      <td>M7Y</td>\n      <td>East Toronto</td>\n      <td>Business Reply Mail Processing Centre 969 Eastern</td>\n      <td>43.662744</td>\n      <td>-79.321558</td>\n    </tr>\n    <tr>\n      <th>88</th>\n      <td>M8V</td>\n      <td>Etobicoke</td>\n      <td>Humber Bay Shores,Mimico South,New Toronto</td>\n      <td>43.605647</td>\n      <td>-79.501321</td>\n    </tr>\n    <tr>\n      <th>89</th>\n      <td>M8W</td>\n      <td>Etobicoke</td>\n      <td>Alderwood,Long Branch</td>\n      <td>43.602414</td>\n      <td>-79.543484</td>\n    </tr>\n    <tr>\n      <th>90</th>\n      <td>M8X</td>\n      <td>Etobicoke</td>\n      <td>The Kingsway,Montgomery Road,Old Mill North</td>\n      <td>43.653654</td>\n      <td>-79.506944</td>\n    </tr>\n    <tr>\n      <th>91</th>\n      <td>M8Y</td>\n      <td>Etobicoke</td>\n      <td>Humber Bay,King's Mill Park,Kingsway Park Sout...</td>\n      <td>43.636258</td>\n      <td>-79.498509</td>\n    </tr>\n    <tr>\n      <th>92</th>\n      <td>M8Z</td>\n      <td>Etobicoke</td>\n      <td>Kingsway Park South West,Mimico NW,The Queensw...</td>\n      <td>43.628841</td>\n      <td>-79.520999</td>\n    </tr>\n    <tr>\n      <th>93</th>\n      <td>M9A</td>\n      <td>Etobicoke</td>\n      <td>Islington Avenue</td>\n      <td>43.667856</td>\n      <td>-79.532242</td>\n    </tr>\n    <tr>\n      <th>94</th>\n      <td>M9B</td>\n      <td>Etobicoke</td>\n      <td>Cloverdale,Islington,Martin Grove,Princess Gar...</td>\n      <td>43.650943</td>\n      <td>-79.554724</td>\n    </tr>\n    <tr>\n      <th>95</th>\n      <td>M9C</td>\n      <td>Etobicoke</td>\n      <td>Bloordale Gardens,Eringate,Markland Wood,Old B...</td>\n      <td>43.643515</td>\n      <td>-79.577201</td>\n    </tr>\n    <tr>\n      <th>96</th>\n      <td>M9L</td>\n      <td>North York</td>\n      <td>Humber Summit</td>\n      <td>43.756303</td>\n      <td>-79.565963</td>\n    </tr>\n    <tr>\n      <th>97</th>\n      <td>M9M</td>\n      <td>North York</td>\n      <td>Emery,Humberlea</td>\n      <td>43.724766</td>\n      <td>-79.532242</td>\n    </tr>\n    <tr>\n      <th>98</th>\n      <td>M9N</td>\n      <td>York</td>\n      <td>Weston</td>\n      <td>43.706876</td>\n      <td>-79.518188</td>\n    </tr>\n    <tr>\n      <th>99</th>\n      <td>M9P</td>\n      <td>Etobicoke</td>\n      <td>Westmount</td>\n      <td>43.696319</td>\n      <td>-79.532242</td>\n    </tr>\n    <tr>\n      <th>100</th>\n      <td>M9R</td>\n      <td>Etobicoke</td>\n      <td>Kingsview Village,Martin Grove Gardens,Richvie...</td>\n      <td>43.688905</td>\n      <td>-79.554724</td>\n    </tr>\n    <tr>\n      <th>101</th>\n      <td>M9V</td>\n      <td>Etobicoke</td>\n      <td>Albion Gardens,Beaumond Heights,Humbergate,Jam...</td>\n      <td>43.739416</td>\n      <td>-79.588437</td>\n    </tr>\n    <tr>\n      <th>102</th>\n      <td>M9W</td>\n      <td>Etobicoke</td>\n      <td>Northwest</td>\n      <td>43.706748</td>\n      <td>-79.594054</td>\n    </tr>\n  </tbody>\n</table>\n<p>103 rows \u00d7 5 columns</p>\n</div>", 
                        "text/plain": "    Postcode           Borough  \\\n0        M1B       Scarborough   \n1        M1C       Scarborough   \n2        M1E       Scarborough   \n3        M1G       Scarborough   \n4        M1H       Scarborough   \n5        M1J       Scarborough   \n6        M1K       Scarborough   \n7        M1L       Scarborough   \n8        M1M       Scarborough   \n9        M1N       Scarborough   \n10       M1P       Scarborough   \n11       M1R       Scarborough   \n12       M1S       Scarborough   \n13       M1T       Scarborough   \n14       M1V       Scarborough   \n15       M1W       Scarborough   \n16       M1X       Scarborough   \n17       M2H        North York   \n18       M2J        North York   \n19       M2K        North York   \n20       M2L        North York   \n21       M2M        North York   \n22       M2N        North York   \n23       M2P        North York   \n24       M2R        North York   \n25       M3A        North York   \n26       M3B        North York   \n27       M3C        North York   \n28       M3H        North York   \n29       M3J        North York   \n..       ...               ...   \n73       M6C              York   \n74       M6E              York   \n75       M6G  Downtown Toronto   \n76       M6H      West Toronto   \n77       M6J      West Toronto   \n78       M6K      West Toronto   \n79       M6L        North York   \n80       M6M              York   \n81       M6N              York   \n82       M6P      West Toronto   \n83       M6R      West Toronto   \n84       M6S      West Toronto   \n85       M7A      Queen's Park   \n86       M7R       Mississauga   \n87       M7Y      East Toronto   \n88       M8V         Etobicoke   \n89       M8W         Etobicoke   \n90       M8X         Etobicoke   \n91       M8Y         Etobicoke   \n92       M8Z         Etobicoke   \n93       M9A         Etobicoke   \n94       M9B         Etobicoke   \n95       M9C         Etobicoke   \n96       M9L        North York   \n97       M9M        North York   \n98       M9N              York   \n99       M9P         Etobicoke   \n100      M9R         Etobicoke   \n101      M9V         Etobicoke   \n102      M9W         Etobicoke   \n\n                                         Neighbourhood   Latitude  Longitude  \n0                                        Rouge,Malvern  43.806686 -79.194353  \n1                 Highland Creek,Rouge Hill,Port Union  43.784535 -79.160497  \n2                      Guildwood,Morningside,West Hill  43.763573 -79.188711  \n3                                               Woburn  43.770992 -79.216917  \n4                                            Cedarbrae  43.773136 -79.239476  \n5                                  Scarborough Village  43.744734 -79.239476  \n6            East Birchmount Park,Ionview,Kennedy Park  43.727929 -79.262029  \n7                        Clairlea,Golden Mile,Oakridge  43.711112 -79.284577  \n8        Cliffcrest,Cliffside,Scarborough Village West  43.716316 -79.239476  \n9                           Birch Cliff,Cliffside West  43.692657 -79.264848  \n10   Dorset Park,Scarborough Town Centre,Wexford He...  43.757410 -79.273304  \n11                                    Maryvale,Wexford  43.750072 -79.295849  \n12                                           Agincourt  43.794200 -79.262029  \n13               Clarks Corners,Sullivan,Tam O'Shanter  43.781638 -79.304302  \n14   Agincourt North,L'Amoreaux East,Milliken,Steel...  43.815252 -79.284577  \n15                                     L'Amoreaux West  43.799525 -79.318389  \n16                                         Upper Rouge  43.836125 -79.205636  \n17                                   Hillcrest Village  43.803762 -79.363452  \n18                          Fairview,Henry Farm,Oriole  43.778517 -79.346556  \n19                                     Bayview Village  43.786947 -79.385975  \n20                             Silver Hills,York Mills  43.757490 -79.374714  \n21                              Newtonbrook,Willowdale  43.789053 -79.408493  \n22                                    Willowdale South  43.770120 -79.408493  \n23                                     York Mills West  43.752758 -79.400049  \n24                                     Willowdale West  43.782736 -79.442259  \n25                                           Parkwoods  43.753259 -79.329656  \n26                                     Don Mills North  43.745906 -79.352188  \n27                     Flemingdon Park,Don Mills South  43.725900 -79.340923  \n28       Bathurst Manor,Downsview North,Wilson Heights  43.754328 -79.442259  \n29                      Northwood Park,York University  43.767980 -79.487262  \n..                                                 ...        ...        ...  \n73                                  Humewood-Cedarvale  43.693781 -79.428191  \n74                                 Caledonia-Fairbanks  43.689026 -79.453512  \n75                                            Christie  43.669542 -79.422564  \n76                         Dovercourt Village,Dufferin  43.669005 -79.442259  \n77                             Little Portugal,Trinity  43.647927 -79.419750  \n78          Brockton,Exhibition Place,Parkdale Village  43.636847 -79.428191  \n79                    Downsview,North Park,Upwood Park  43.713756 -79.490074  \n80         Del Ray,Keelesdale,Mount Dennis,Silverthorn  43.691116 -79.476013  \n81                        The Junction North,Runnymede  43.673185 -79.487262  \n82                        High Park,The Junction South  43.661608 -79.464763  \n83                               Parkdale,Roncesvalles  43.648960 -79.456325  \n84                                   Runnymede,Swansea  43.651571 -79.484450  \n85                                        Queen's Park  43.662301 -79.389494  \n86               Canada Post Gateway Processing Centre  43.636966 -79.615819  \n87   Business Reply Mail Processing Centre 969 Eastern  43.662744 -79.321558  \n88          Humber Bay Shores,Mimico South,New Toronto  43.605647 -79.501321  \n89                               Alderwood,Long Branch  43.602414 -79.543484  \n90         The Kingsway,Montgomery Road,Old Mill North  43.653654 -79.506944  \n91   Humber Bay,King's Mill Park,Kingsway Park Sout...  43.636258 -79.498509  \n92   Kingsway Park South West,Mimico NW,The Queensw...  43.628841 -79.520999  \n93                                    Islington Avenue  43.667856 -79.532242  \n94   Cloverdale,Islington,Martin Grove,Princess Gar...  43.650943 -79.554724  \n95   Bloordale Gardens,Eringate,Markland Wood,Old B...  43.643515 -79.577201  \n96                                       Humber Summit  43.756303 -79.565963  \n97                                     Emery,Humberlea  43.724766 -79.532242  \n98                                              Weston  43.706876 -79.518188  \n99                                           Westmount  43.696319 -79.532242  \n100  Kingsview Village,Martin Grove Gardens,Richvie...  43.688905 -79.554724  \n101  Albion Gardens,Beaumond Heights,Humbergate,Jam...  43.739416 -79.588437  \n102                                          Northwest  43.706748 -79.594054  \n\n[103 rows x 5 columns]"
                    }, 
                    "output_type": "execute_result"
                }
            ], 
            "source": "merged_df = pd.merge(grouped_df, geo_data)\nmerged_df"
        }, 
        {
            "source": "5. Explore and cluster the neighborhoods in Toronto", 
            "cell_type": "markdown", 
            "metadata": {}
        }, 
        {
            "source": "5a. Create a map of neighborhoods in Toronto", 
            "cell_type": "markdown", 
            "metadata": {}
        }, 
        {
            "execution_count": 77, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [
                {
                    "output_type": "stream", 
                    "name": "stdout", 
                    "text": "Solving environment: done\n\n## Package Plan ##\n\n  environment location: /opt/conda/envs/Python36\n\n  added / updated specs: \n    - folium=0.5.0\n\n\nThe following packages will be downloaded:\n\n    package                    |            build\n    ---------------------------|-----------------\n    altair-3.2.0               |           py36_0         770 KB  conda-forge\n    vincent-0.4.4              |             py_1          28 KB  conda-forge\n    branca-0.3.1               |             py_0          25 KB  conda-forge\n    ca-certificates-2019.9.11  |       hecc5488_0         144 KB  conda-forge\n    openssl-1.1.1c             |       h516909a_0         2.1 MB  conda-forge\n    certifi-2019.9.11          |           py36_0         147 KB  conda-forge\n    folium-0.5.0               |             py_0          45 KB  conda-forge\n    ------------------------------------------------------------\n                                           Total:         3.3 MB\n\nThe following NEW packages will be INSTALLED:\n\n    altair:          3.2.0-py36_0      conda-forge\n    branca:          0.3.1-py_0        conda-forge\n    folium:          0.5.0-py_0        conda-forge\n    vincent:         0.4.4-py_1        conda-forge\n\nThe following packages will be UPDATED:\n\n    ca-certificates: 2019.8.28-0                   --> 2019.9.11-hecc5488_0 conda-forge\n    certifi:         2019.9.11-py36_0              --> 2019.9.11-py36_0     conda-forge\n\nThe following packages will be DOWNGRADED:\n\n    openssl:         1.1.1d-h7b6447c_2             --> 1.1.1c-h516909a_0    conda-forge\n\n\nDownloading and Extracting Packages\naltair-3.2.0         | 770 KB    | ##################################### | 100% \nvincent-0.4.4        | 28 KB     | ##################################### | 100% \nbranca-0.3.1         | 25 KB     | ##################################### | 100% \nca-certificates-2019 | 144 KB    | ##################################### | 100% \nopenssl-1.1.1c       | 2.1 MB    | ##################################### | 100% \ncertifi-2019.9.11    | 147 KB    | ##################################### | 100% \nfolium-0.5.0         | 45 KB     | ##################################### | 100% \nPreparing transaction: done\nVerifying transaction: done\nExecuting transaction: done\n"
                }
            ], 
            "source": "import matplotlib.cm as cm\nimport matplotlib.colors as colors\n\nfrom sklearn.cluster import KMeans\n\n!conda install -c conda-forge folium=0.5.0 --yes \nimport folium"
        }, 
        {
            "execution_count": 78, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [
                {
                    "output_type": "stream", 
                    "name": "stdout", 
                    "text": "Solving environment: done\n\n## Package Plan ##\n\n  environment location: /opt/conda/envs/Python36\n\n  added / updated specs: \n    - geopy\n\n\nThe following packages will be downloaded:\n\n    package                    |            build\n    ---------------------------|-----------------\n    geopy-1.20.0               |             py_0          57 KB  conda-forge\n    geographiclib-1.50         |             py_0          34 KB  conda-forge\n    ------------------------------------------------------------\n                                           Total:          91 KB\n\nThe following NEW packages will be INSTALLED:\n\n    geographiclib: 1.50-py_0   conda-forge\n    geopy:         1.20.0-py_0 conda-forge\n\n\nDownloading and Extracting Packages\ngeopy-1.20.0         | 57 KB     | ##################################### | 100% \ngeographiclib-1.50   | 34 KB     | ##################################### | 100% \nPreparing transaction: done\nVerifying transaction: done\nExecuting transaction: done\n"
                }
            ], 
            "source": "!conda install -c conda-forge geopy --yes\nfrom geopy.geocoders import Nominatim "
        }, 
        {
            "execution_count": 79, 
            "cell_type": "code", 
            "metadata": {
                "scrolled": true
            }, 
            "outputs": [
                {
                    "execution_count": 79, 
                    "metadata": {}, 
                    "data": {
                        "text/html": "<div style=\"width:100%;\"><div style=\"position:relative;width:100%;height:0;padding-bottom:60%;\"><iframe src=\"data:text/html;charset=utf-8;base64,<!DOCTYPE html>
<head>    
    <meta http-equiv="content-type" content="text/html; charset=UTF-8" />
    <script>L_PREFER_CANVAS = false; L_NO_TOUCH = false; L_DISABLE_3D = false;</script>
    <script src="https://cdn.jsdelivr.net/npm/leaflet@1.2.0/dist/leaflet.js"></script>
    <script src="https://ajax.googleapis.com/ajax/libs/jquery/1.11.1/jquery.min.js"></script>
    <script src="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/js/bootstrap.min.js"></script>
    <script src="https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.js"></script>
    <link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/leaflet@1.2.0/dist/leaflet.css"/>
    <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap.min.css"/>
    <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap-theme.min.css"/>
    <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/font-awesome/4.6.3/css/font-awesome.min.css"/>
    <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.css"/>
    <link rel="stylesheet" href="https://rawgit.com/python-visualization/folium/master/folium/templates/leaflet.awesome.rotate.css"/>
    <style>html, body {width: 100%;height: 100%;margin: 0;padding: 0;}</style>
    <style>#map {position:absolute;top:0;bottom:0;right:0;left:0;}</style>
    
            <style> #map_26e1a5cbd25e485db0bc91f93d50bd24 {
                position : relative;
                width : 100.0%;
                height: 100.0%;
                left: 0.0%;
                top: 0.0%;
                }
            </style>
        
</head>
<body>    
    
            <div class="folium-map" id="map_26e1a5cbd25e485db0bc91f93d50bd24" ></div>
        
</body>
<script>    
    

            
                var bounds = null;
            

            var map_26e1a5cbd25e485db0bc91f93d50bd24 = L.map(
                                  'map_26e1a5cbd25e485db0bc91f93d50bd24',
                                  {center: [43.65107,-79.347015],
                                  zoom: 10,
                                  maxBounds: bounds,
                                  layers: [],
                                  worldCopyJump: false,
                                  crs: L.CRS.EPSG3857
                                 });
            
        
    
            var tile_layer_ff2f4ef8d36b4828ae2b7fa6328cf2b0 = L.tileLayer(
                'https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png',
                {
  "attribution": null,
  "detectRetina": false,
  "maxZoom": 18,
  "minZoom": 1,
  "noWrap": false,
  "subdomains": "abc"
}
                ).addTo(map_26e1a5cbd25e485db0bc91f93d50bd24);
        
    
            var circle_marker_4841f1499cc945a9b848868c2a34bd21 = L.circleMarker(
                [43.806686299999996,-79.19435340000001],
                {
  "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_26e1a5cbd25e485db0bc91f93d50bd24);
            
    
            var popup_2d90dcc078af420b951262377f238bb5 = L.popup({maxWidth: '300'});

            
                var html_294ad8197a064319a7f8b091360286b9 = $('<div id="html_294ad8197a064319a7f8b091360286b9" style="width: 100.0%; height: 100.0%;">Rouge,Malvern,Scarborough</div>')[0];
                popup_2d90dcc078af420b951262377f238bb5.setContent(html_294ad8197a064319a7f8b091360286b9);
            

            circle_marker_4841f1499cc945a9b848868c2a34bd21.bindPopup(popup_2d90dcc078af420b951262377f238bb5);

            
        
    
            var circle_marker_b22cff0250a24642b5853976b0a8fd74 = L.circleMarker(
                [43.7845351,-79.16049709999999],
                {
  "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_26e1a5cbd25e485db0bc91f93d50bd24);
            
    
            var popup_6fdfd8d0b3934612b528dfe2e5b68067 = L.popup({maxWidth: '300'});

            
                var html_f9d39b43f4254cd6a4a66544326feafe = $('<div id="html_f9d39b43f4254cd6a4a66544326feafe" style="width: 100.0%; height: 100.0%;">Highland Creek,Rouge Hill,Port Union,Scarborough</div>')[0];
                popup_6fdfd8d0b3934612b528dfe2e5b68067.setContent(html_f9d39b43f4254cd6a4a66544326feafe);
            

            circle_marker_b22cff0250a24642b5853976b0a8fd74.bindPopup(popup_6fdfd8d0b3934612b528dfe2e5b68067);

            
        
    
            var circle_marker_be031a0c7c684ad892797b3fb8ab1118 = L.circleMarker(
                [43.7635726,-79.1887115],
                {
  "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_26e1a5cbd25e485db0bc91f93d50bd24);
            
    
            var popup_3e7cee22dfd545dd8ed254c407add7dd = L.popup({maxWidth: '300'});

            
                var html_54019e723ae74c6a8dc6afc153d9a50e = $('<div id="html_54019e723ae74c6a8dc6afc153d9a50e" style="width: 100.0%; height: 100.0%;">Guildwood,Morningside,West Hill,Scarborough</div>')[0];
                popup_3e7cee22dfd545dd8ed254c407add7dd.setContent(html_54019e723ae74c6a8dc6afc153d9a50e);
            

            circle_marker_be031a0c7c684ad892797b3fb8ab1118.bindPopup(popup_3e7cee22dfd545dd8ed254c407add7dd);

            
        
    
            var circle_marker_488a0c7e56f3481481110101b81b777f = L.circleMarker(
                [43.7709921,-79.21691740000001],
                {
  "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_26e1a5cbd25e485db0bc91f93d50bd24);
            
    
            var popup_d790bdf6f26f498e977bde03857adf12 = L.popup({maxWidth: '300'});

            
                var html_626acffe9018448f8b0a897e4a38ef26 = $('<div id="html_626acffe9018448f8b0a897e4a38ef26" style="width: 100.0%; height: 100.0%;">Woburn,Scarborough</div>')[0];
                popup_d790bdf6f26f498e977bde03857adf12.setContent(html_626acffe9018448f8b0a897e4a38ef26);
            

            circle_marker_488a0c7e56f3481481110101b81b777f.bindPopup(popup_d790bdf6f26f498e977bde03857adf12);

            
        
    
            var circle_marker_b4026c2a76774e0287d63c99def4adeb = L.circleMarker(
                [43.773136,-79.23947609999999],
                {
  "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_26e1a5cbd25e485db0bc91f93d50bd24);
            
    
            var popup_56225078f549491ba8a7c7bc1f2234c7 = L.popup({maxWidth: '300'});

            
                var html_d5a3e41ef407479085eae386786406dd = $('<div id="html_d5a3e41ef407479085eae386786406dd" style="width: 100.0%; height: 100.0%;">Cedarbrae,Scarborough</div>')[0];
                popup_56225078f549491ba8a7c7bc1f2234c7.setContent(html_d5a3e41ef407479085eae386786406dd);
            

            circle_marker_b4026c2a76774e0287d63c99def4adeb.bindPopup(popup_56225078f549491ba8a7c7bc1f2234c7);

            
        
    
            var circle_marker_c47e29b76726401da725e9335a65f3e9 = L.circleMarker(
                [43.7447342,-79.23947609999999],
                {
  "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_26e1a5cbd25e485db0bc91f93d50bd24);
            
    
            var popup_db3c220429e24a6f80200dc9ce63ccb0 = L.popup({maxWidth: '300'});

            
                var html_2e3b2e6da77f47f1958e75d3e8081555 = $('<div id="html_2e3b2e6da77f47f1958e75d3e8081555" style="width: 100.0%; height: 100.0%;">Scarborough Village,Scarborough</div>')[0];
                popup_db3c220429e24a6f80200dc9ce63ccb0.setContent(html_2e3b2e6da77f47f1958e75d3e8081555);
            

            circle_marker_c47e29b76726401da725e9335a65f3e9.bindPopup(popup_db3c220429e24a6f80200dc9ce63ccb0);

            
        
    
            var circle_marker_6a63a1cc7c8240269ac1e380828b21b6 = L.circleMarker(
                [43.7279292,-79.26202940000002],
                {
  "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_26e1a5cbd25e485db0bc91f93d50bd24);
            
    
            var popup_6a4dff555a5a40848491ba23d2e9a7fa = L.popup({maxWidth: '300'});

            
                var html_3b201d3c92374503aebc33a701b26057 = $('<div id="html_3b201d3c92374503aebc33a701b26057" style="width: 100.0%; height: 100.0%;">East Birchmount Park,Ionview,Kennedy Park,Scarborough</div>')[0];
                popup_6a4dff555a5a40848491ba23d2e9a7fa.setContent(html_3b201d3c92374503aebc33a701b26057);
            

            circle_marker_6a63a1cc7c8240269ac1e380828b21b6.bindPopup(popup_6a4dff555a5a40848491ba23d2e9a7fa);

            
        
    
            var circle_marker_a1f9945aea1548c4b526dca5705a6264 = L.circleMarker(
                [43.711111700000004,-79.2845772],
                {
  "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_26e1a5cbd25e485db0bc91f93d50bd24);
            
    
            var popup_975d592edf9e467b89a0f485a1db490d = L.popup({maxWidth: '300'});

            
                var html_a22daa9df0704cf28f9f2c58302f3f18 = $('<div id="html_a22daa9df0704cf28f9f2c58302f3f18" style="width: 100.0%; height: 100.0%;">Clairlea,Golden Mile,Oakridge,Scarborough</div>')[0];
                popup_975d592edf9e467b89a0f485a1db490d.setContent(html_a22daa9df0704cf28f9f2c58302f3f18);
            

            circle_marker_a1f9945aea1548c4b526dca5705a6264.bindPopup(popup_975d592edf9e467b89a0f485a1db490d);

            
        
    
            var circle_marker_484fdefc11f14589beafce6db4394379 = L.circleMarker(
                [43.716316,-79.23947609999999],
                {
  "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_26e1a5cbd25e485db0bc91f93d50bd24);
            
    
            var popup_90015ce036554a1ebb379b2f155063f0 = L.popup({maxWidth: '300'});

            
                var html_058f9ee6450b4f7ead8e468c75ebacf7 = $('<div id="html_058f9ee6450b4f7ead8e468c75ebacf7" style="width: 100.0%; height: 100.0%;">Cliffcrest,Cliffside,Scarborough Village West,Scarborough</div>')[0];
                popup_90015ce036554a1ebb379b2f155063f0.setContent(html_058f9ee6450b4f7ead8e468c75ebacf7);
            

            circle_marker_484fdefc11f14589beafce6db4394379.bindPopup(popup_90015ce036554a1ebb379b2f155063f0);

            
        
    
            var circle_marker_00ab3dd31ed0421ba6f8f66a8c46dfe0 = L.circleMarker(
                [43.692657000000004,-79.2648481],
                {
  "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_26e1a5cbd25e485db0bc91f93d50bd24);
            
    
            var popup_47a141928e4b49bf8c9c2519f3229755 = L.popup({maxWidth: '300'});

            
                var html_0f5364562c5f4343b2fd17e3c889c27d = $('<div id="html_0f5364562c5f4343b2fd17e3c889c27d" style="width: 100.0%; height: 100.0%;">Birch Cliff,Cliffside West,Scarborough</div>')[0];
                popup_47a141928e4b49bf8c9c2519f3229755.setContent(html_0f5364562c5f4343b2fd17e3c889c27d);
            

            circle_marker_00ab3dd31ed0421ba6f8f66a8c46dfe0.bindPopup(popup_47a141928e4b49bf8c9c2519f3229755);

            
        
    
            var circle_marker_081aa846c08c4bc99461bc0e38f26200 = L.circleMarker(
                [43.7574096,-79.27330400000001],
                {
  "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_26e1a5cbd25e485db0bc91f93d50bd24);
            
    
            var popup_59c79c3c2cd74913bc5fc0452e0223db = L.popup({maxWidth: '300'});

            
                var html_936e2f4cc87c4e8dbece9ee28e037067 = $('<div id="html_936e2f4cc87c4e8dbece9ee28e037067" style="width: 100.0%; height: 100.0%;">Dorset Park,Scarborough Town Centre,Wexford Heights,Scarborough</div>')[0];
                popup_59c79c3c2cd74913bc5fc0452e0223db.setContent(html_936e2f4cc87c4e8dbece9ee28e037067);
            

            circle_marker_081aa846c08c4bc99461bc0e38f26200.bindPopup(popup_59c79c3c2cd74913bc5fc0452e0223db);

            
        
    
            var circle_marker_1192630b0b2449c3af640764abeb4fa0 = L.circleMarker(
                [43.750071500000004,-79.2958491],
                {
  "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_26e1a5cbd25e485db0bc91f93d50bd24);
            
    
            var popup_d7ab48ce367c4691bacc5ddc0a24c05e = L.popup({maxWidth: '300'});

            
                var html_40640f8a3d854d5c92b2328aa0f3a98e = $('<div id="html_40640f8a3d854d5c92b2328aa0f3a98e" style="width: 100.0%; height: 100.0%;">Maryvale,Wexford,Scarborough</div>')[0];
                popup_d7ab48ce367c4691bacc5ddc0a24c05e.setContent(html_40640f8a3d854d5c92b2328aa0f3a98e);
            

            circle_marker_1192630b0b2449c3af640764abeb4fa0.bindPopup(popup_d7ab48ce367c4691bacc5ddc0a24c05e);

            
        
    
            var circle_marker_1f21ba4dbef94222b0f55af9c6523e52 = L.circleMarker(
                [43.7942003,-79.26202940000002],
                {
  "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_26e1a5cbd25e485db0bc91f93d50bd24);
            
    
            var popup_c8ed38a327e9461e8caec02df959ce3d = L.popup({maxWidth: '300'});

            
                var html_efd5aad25ff54a318601e2796cdb4798 = $('<div id="html_efd5aad25ff54a318601e2796cdb4798" style="width: 100.0%; height: 100.0%;">Agincourt,Scarborough</div>')[0];
                popup_c8ed38a327e9461e8caec02df959ce3d.setContent(html_efd5aad25ff54a318601e2796cdb4798);
            

            circle_marker_1f21ba4dbef94222b0f55af9c6523e52.bindPopup(popup_c8ed38a327e9461e8caec02df959ce3d);

            
        
    
            var circle_marker_620c110918f741a69d8ee99323abd6df = L.circleMarker(
                [43.7816375,-79.3043021],
                {
  "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_26e1a5cbd25e485db0bc91f93d50bd24);
            
    
            var popup_f1008024ebab43d79ba5b6030578b46d = L.popup({maxWidth: '300'});

            
                var html_cd099788ebeb49548affab1e57c1ced1 = $('<div id="html_cd099788ebeb49548affab1e57c1ced1" style="width: 100.0%; height: 100.0%;">Clarks Corners,Sullivan,Tam O&#39;Shanter,Scarborough</div>')[0];
                popup_f1008024ebab43d79ba5b6030578b46d.setContent(html_cd099788ebeb49548affab1e57c1ced1);
            

            circle_marker_620c110918f741a69d8ee99323abd6df.bindPopup(popup_f1008024ebab43d79ba5b6030578b46d);

            
        
    
            var circle_marker_633e4521a9434a1983b188aaff0767df = L.circleMarker(
                [43.8152522,-79.2845772],
                {
  "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_26e1a5cbd25e485db0bc91f93d50bd24);
            
    
            var popup_f4094ba1b7e944c6b919f629fba80225 = L.popup({maxWidth: '300'});

            
                var html_f33ccc29606848d29ea62528bc647abb = $('<div id="html_f33ccc29606848d29ea62528bc647abb" style="width: 100.0%; height: 100.0%;">Agincourt North,L&#39;Amoreaux East,Milliken,Steeles East,Scarborough</div>')[0];
                popup_f4094ba1b7e944c6b919f629fba80225.setContent(html_f33ccc29606848d29ea62528bc647abb);
            

            circle_marker_633e4521a9434a1983b188aaff0767df.bindPopup(popup_f4094ba1b7e944c6b919f629fba80225);

            
        
    
            var circle_marker_5536d2b666a84c35afac003968ede0bc = L.circleMarker(
                [43.799525200000005,-79.3183887],
                {
  "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_26e1a5cbd25e485db0bc91f93d50bd24);
            
    
            var popup_f10ac4ffcd814bdb8d83cb06c778c022 = L.popup({maxWidth: '300'});

            
                var html_606b0d904bf64cf9b7f6467437cd06f4 = $('<div id="html_606b0d904bf64cf9b7f6467437cd06f4" style="width: 100.0%; height: 100.0%;">L&#39;Amoreaux West,Scarborough</div>')[0];
                popup_f10ac4ffcd814bdb8d83cb06c778c022.setContent(html_606b0d904bf64cf9b7f6467437cd06f4);
            

            circle_marker_5536d2b666a84c35afac003968ede0bc.bindPopup(popup_f10ac4ffcd814bdb8d83cb06c778c022);

            
        
    
            var circle_marker_bf7b03fb065c44b4aa7808f48c7ad5d7 = L.circleMarker(
                [43.836124700000006,-79.20563609999999],
                {
  "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_26e1a5cbd25e485db0bc91f93d50bd24);
            
    
            var popup_68916984b2834af5a2dce2bffefea89b = L.popup({maxWidth: '300'});

            
                var html_51074eed3e474cd3ab8c58da350e89cf = $('<div id="html_51074eed3e474cd3ab8c58da350e89cf" style="width: 100.0%; height: 100.0%;">Upper Rouge,Scarborough</div>')[0];
                popup_68916984b2834af5a2dce2bffefea89b.setContent(html_51074eed3e474cd3ab8c58da350e89cf);
            

            circle_marker_bf7b03fb065c44b4aa7808f48c7ad5d7.bindPopup(popup_68916984b2834af5a2dce2bffefea89b);

            
        
    
            var circle_marker_58b482b64a7d47bd8411ba928449b897 = L.circleMarker(
                [43.8037622,-79.3634517],
                {
  "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_26e1a5cbd25e485db0bc91f93d50bd24);
            
    
            var popup_d61f891ab99f4239be865dd29093dbea = L.popup({maxWidth: '300'});

            
                var html_39a9e959d1fa4a3389d57e0879986d34 = $('<div id="html_39a9e959d1fa4a3389d57e0879986d34" style="width: 100.0%; height: 100.0%;">Hillcrest Village,North York</div>')[0];
                popup_d61f891ab99f4239be865dd29093dbea.setContent(html_39a9e959d1fa4a3389d57e0879986d34);
            

            circle_marker_58b482b64a7d47bd8411ba928449b897.bindPopup(popup_d61f891ab99f4239be865dd29093dbea);

            
        
    
            var circle_marker_165ec3e496d9457fa0c048f32076379a = L.circleMarker(
                [43.7785175,-79.3465557],
                {
  "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_26e1a5cbd25e485db0bc91f93d50bd24);
            
    
            var popup_4012a9a892a8458ca1159e0b2daafded = L.popup({maxWidth: '300'});

            
                var html_4a7c2716853c4aa59e65a799ffab3f47 = $('<div id="html_4a7c2716853c4aa59e65a799ffab3f47" style="width: 100.0%; height: 100.0%;">Fairview,Henry Farm,Oriole,North York</div>')[0];
                popup_4012a9a892a8458ca1159e0b2daafded.setContent(html_4a7c2716853c4aa59e65a799ffab3f47);
            

            circle_marker_165ec3e496d9457fa0c048f32076379a.bindPopup(popup_4012a9a892a8458ca1159e0b2daafded);

            
        
    
            var circle_marker_7f846441c8c745c1a8a4034a47dcb12c = L.circleMarker(
                [43.7869473,-79.385975],
                {
  "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_26e1a5cbd25e485db0bc91f93d50bd24);
            
    
            var popup_fdb9ac0655ba494297a738c95a482c37 = L.popup({maxWidth: '300'});

            
                var html_6c698f7794d54fc28529eb859965e0cd = $('<div id="html_6c698f7794d54fc28529eb859965e0cd" style="width: 100.0%; height: 100.0%;">Bayview Village,North York</div>')[0];
                popup_fdb9ac0655ba494297a738c95a482c37.setContent(html_6c698f7794d54fc28529eb859965e0cd);
            

            circle_marker_7f846441c8c745c1a8a4034a47dcb12c.bindPopup(popup_fdb9ac0655ba494297a738c95a482c37);

            
        
    
            var circle_marker_936935ed0b6d43cdb1eee9d445a2988d = L.circleMarker(
                [43.7574902,-79.37471409999999],
                {
  "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_26e1a5cbd25e485db0bc91f93d50bd24);
            
    
            var popup_ca91c9789b394a31844ddec3afefc0cd = L.popup({maxWidth: '300'});

            
                var html_7eaa3d760efb44bf8e51775fa3dda94f = $('<div id="html_7eaa3d760efb44bf8e51775fa3dda94f" style="width: 100.0%; height: 100.0%;">Silver Hills,York Mills,North York</div>')[0];
                popup_ca91c9789b394a31844ddec3afefc0cd.setContent(html_7eaa3d760efb44bf8e51775fa3dda94f);
            

            circle_marker_936935ed0b6d43cdb1eee9d445a2988d.bindPopup(popup_ca91c9789b394a31844ddec3afefc0cd);

            
        
    
            var circle_marker_05e863c65fae49e497483e0db6805353 = L.circleMarker(
                [43.789053,-79.40849279999999],
                {
  "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_26e1a5cbd25e485db0bc91f93d50bd24);
            
    
            var popup_6808113108654d589792b6dcc0e73e6c = L.popup({maxWidth: '300'});

            
                var html_34c88c18ee934b59a1063c17e7ab0f88 = $('<div id="html_34c88c18ee934b59a1063c17e7ab0f88" style="width: 100.0%; height: 100.0%;">Newtonbrook,Willowdale,North York</div>')[0];
                popup_6808113108654d589792b6dcc0e73e6c.setContent(html_34c88c18ee934b59a1063c17e7ab0f88);
            

            circle_marker_05e863c65fae49e497483e0db6805353.bindPopup(popup_6808113108654d589792b6dcc0e73e6c);

            
        
    
            var circle_marker_f24c170967d4468099aa364077a1d3b4 = L.circleMarker(
                [43.7701199,-79.40849279999999],
                {
  "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_26e1a5cbd25e485db0bc91f93d50bd24);
            
    
            var popup_238cd194b8bd410ea8fdeb1d2d75e46d = L.popup({maxWidth: '300'});

            
                var html_8ada1b95ddde4f37b02f3cbedad8e445 = $('<div id="html_8ada1b95ddde4f37b02f3cbedad8e445" style="width: 100.0%; height: 100.0%;">Willowdale South,North York</div>')[0];
                popup_238cd194b8bd410ea8fdeb1d2d75e46d.setContent(html_8ada1b95ddde4f37b02f3cbedad8e445);
            

            circle_marker_f24c170967d4468099aa364077a1d3b4.bindPopup(popup_238cd194b8bd410ea8fdeb1d2d75e46d);

            
        
    
            var circle_marker_b6125343844e4e9aa0a5166ee216a365 = L.circleMarker(
                [43.752758299999996,-79.4000493],
                {
  "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_26e1a5cbd25e485db0bc91f93d50bd24);
            
    
            var popup_edbaebca4d19470fbe22d36dbb7fc22e = L.popup({maxWidth: '300'});

            
                var html_a3a991a74e5f4c1494f49ca5a01e818b = $('<div id="html_a3a991a74e5f4c1494f49ca5a01e818b" style="width: 100.0%; height: 100.0%;">York Mills West,North York</div>')[0];
                popup_edbaebca4d19470fbe22d36dbb7fc22e.setContent(html_a3a991a74e5f4c1494f49ca5a01e818b);
            

            circle_marker_b6125343844e4e9aa0a5166ee216a365.bindPopup(popup_edbaebca4d19470fbe22d36dbb7fc22e);

            
        
    
            var circle_marker_a7ea7348a37c4e05962da0e3b2ab33c9 = L.circleMarker(
                [43.7827364,-79.4422593],
                {
  "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_26e1a5cbd25e485db0bc91f93d50bd24);
            
    
            var popup_7c1f4c73fb104dda8894c5a6de6553ca = L.popup({maxWidth: '300'});

            
                var html_c4ddd27c517d4229a822d565b270c34e = $('<div id="html_c4ddd27c517d4229a822d565b270c34e" style="width: 100.0%; height: 100.0%;">Willowdale West,North York</div>')[0];
                popup_7c1f4c73fb104dda8894c5a6de6553ca.setContent(html_c4ddd27c517d4229a822d565b270c34e);
            

            circle_marker_a7ea7348a37c4e05962da0e3b2ab33c9.bindPopup(popup_7c1f4c73fb104dda8894c5a6de6553ca);

            
        
    
            var circle_marker_fbcfab19159b40358a8a1681ff2dac61 = L.circleMarker(
                [43.7532586,-79.3296565],
                {
  "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_26e1a5cbd25e485db0bc91f93d50bd24);
            
    
            var popup_13e2a48478484a5b8258c87bac3c669f = L.popup({maxWidth: '300'});

            
                var html_5677cc51fdf94282bff550a50d174b0d = $('<div id="html_5677cc51fdf94282bff550a50d174b0d" style="width: 100.0%; height: 100.0%;">Parkwoods,North York</div>')[0];
                popup_13e2a48478484a5b8258c87bac3c669f.setContent(html_5677cc51fdf94282bff550a50d174b0d);
            

            circle_marker_fbcfab19159b40358a8a1681ff2dac61.bindPopup(popup_13e2a48478484a5b8258c87bac3c669f);

            
        
    
            var circle_marker_1b24e11a35ce431996ef80d716af867f = L.circleMarker(
                [43.745905799999996,-79.352188],
                {
  "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_26e1a5cbd25e485db0bc91f93d50bd24);
            
    
            var popup_5b3e993f7fad4b08b60e141a04c852f1 = L.popup({maxWidth: '300'});

            
                var html_61cac03c852842bcac97828ec268e5dc = $('<div id="html_61cac03c852842bcac97828ec268e5dc" style="width: 100.0%; height: 100.0%;">Don Mills North,North York</div>')[0];
                popup_5b3e993f7fad4b08b60e141a04c852f1.setContent(html_61cac03c852842bcac97828ec268e5dc);
            

            circle_marker_1b24e11a35ce431996ef80d716af867f.bindPopup(popup_5b3e993f7fad4b08b60e141a04c852f1);

            
        
    
            var circle_marker_72b919d1e2e147429658d16d7017093e = L.circleMarker(
                [43.72589970000001,-79.340923],
                {
  "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_26e1a5cbd25e485db0bc91f93d50bd24);
            
    
            var popup_7c9c6d4c66be468a9a8169e6d98b0e1a = L.popup({maxWidth: '300'});

            
                var html_6e3599f80c2343d88f6c1ea03952ecb8 = $('<div id="html_6e3599f80c2343d88f6c1ea03952ecb8" style="width: 100.0%; height: 100.0%;">Flemingdon Park,Don Mills South,North York</div>')[0];
                popup_7c9c6d4c66be468a9a8169e6d98b0e1a.setContent(html_6e3599f80c2343d88f6c1ea03952ecb8);
            

            circle_marker_72b919d1e2e147429658d16d7017093e.bindPopup(popup_7c9c6d4c66be468a9a8169e6d98b0e1a);

            
        
    
            var circle_marker_04a4842c23ec42d08c3928e41d820840 = L.circleMarker(
                [43.7543283,-79.4422593],
                {
  "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_26e1a5cbd25e485db0bc91f93d50bd24);
            
    
            var popup_c8446a129244498a804ea9bf35a5a3b0 = L.popup({maxWidth: '300'});

            
                var html_1e74727fda6e4366b511fd8bd60b3cdd = $('<div id="html_1e74727fda6e4366b511fd8bd60b3cdd" style="width: 100.0%; height: 100.0%;">Bathurst Manor,Downsview North,Wilson Heights,North York</div>')[0];
                popup_c8446a129244498a804ea9bf35a5a3b0.setContent(html_1e74727fda6e4366b511fd8bd60b3cdd);
            

            circle_marker_04a4842c23ec42d08c3928e41d820840.bindPopup(popup_c8446a129244498a804ea9bf35a5a3b0);

            
        
    
            var circle_marker_e9d2eb9d54a8447386f9916c07edf445 = L.circleMarker(
                [43.7679803,-79.48726190000001],
                {
  "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_26e1a5cbd25e485db0bc91f93d50bd24);
            
    
            var popup_13d17c1e4f4f4e369ea54489ec095894 = L.popup({maxWidth: '300'});

            
                var html_10a3725a2ede4942a58302bfb7cc0fe4 = $('<div id="html_10a3725a2ede4942a58302bfb7cc0fe4" style="width: 100.0%; height: 100.0%;">Northwood Park,York University,North York</div>')[0];
                popup_13d17c1e4f4f4e369ea54489ec095894.setContent(html_10a3725a2ede4942a58302bfb7cc0fe4);
            

            circle_marker_e9d2eb9d54a8447386f9916c07edf445.bindPopup(popup_13d17c1e4f4f4e369ea54489ec095894);

            
        
    
            var circle_marker_8c1677df99a54636a69ef4198ff4a77e = L.circleMarker(
                [43.737473200000004,-79.46476329999999],
                {
  "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_26e1a5cbd25e485db0bc91f93d50bd24);
            
    
            var popup_3a068f51dd084f9ab5cee759c479a86b = L.popup({maxWidth: '300'});

            
                var html_513fe07e7e88498c9bb9f50a8ed06f4f = $('<div id="html_513fe07e7e88498c9bb9f50a8ed06f4f" style="width: 100.0%; height: 100.0%;">CFB Toronto,Downsview East,North York</div>')[0];
                popup_3a068f51dd084f9ab5cee759c479a86b.setContent(html_513fe07e7e88498c9bb9f50a8ed06f4f);
            

            circle_marker_8c1677df99a54636a69ef4198ff4a77e.bindPopup(popup_3a068f51dd084f9ab5cee759c479a86b);

            
        
    
            var circle_marker_e42bdb1118ca482bb5679b556e66ddbf = L.circleMarker(
                [43.7390146,-79.5069436],
                {
  "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_26e1a5cbd25e485db0bc91f93d50bd24);
            
    
            var popup_8ef9a878991d47ad8dc5c7203013c7ae = L.popup({maxWidth: '300'});

            
                var html_68ed54e3b89246ed8d29d5a0f83fd703 = $('<div id="html_68ed54e3b89246ed8d29d5a0f83fd703" style="width: 100.0%; height: 100.0%;">Downsview West,North York</div>')[0];
                popup_8ef9a878991d47ad8dc5c7203013c7ae.setContent(html_68ed54e3b89246ed8d29d5a0f83fd703);
            

            circle_marker_e42bdb1118ca482bb5679b556e66ddbf.bindPopup(popup_8ef9a878991d47ad8dc5c7203013c7ae);

            
        
    
            var circle_marker_a18b3790d768437897a39ebcd68dd5fc = L.circleMarker(
                [43.7284964,-79.49569740000001],
                {
  "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_26e1a5cbd25e485db0bc91f93d50bd24);
            
    
            var popup_b0bb41197e924ce6b75864cb085d186a = L.popup({maxWidth: '300'});

            
                var html_5c560c27789f470594739375e1094787 = $('<div id="html_5c560c27789f470594739375e1094787" style="width: 100.0%; height: 100.0%;">Downsview Central,North York</div>')[0];
                popup_b0bb41197e924ce6b75864cb085d186a.setContent(html_5c560c27789f470594739375e1094787);
            

            circle_marker_a18b3790d768437897a39ebcd68dd5fc.bindPopup(popup_b0bb41197e924ce6b75864cb085d186a);

            
        
    
            var circle_marker_c3d97934013d426b9e4ab4916082a38c = L.circleMarker(
                [43.7616313,-79.52099940000001],
                {
  "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_26e1a5cbd25e485db0bc91f93d50bd24);
            
    
            var popup_0d5ad216cd72471381e295efe70b158c = L.popup({maxWidth: '300'});

            
                var html_72dd433b1858444e9cf7906a45ee2470 = $('<div id="html_72dd433b1858444e9cf7906a45ee2470" style="width: 100.0%; height: 100.0%;">Downsview Northwest,North York</div>')[0];
                popup_0d5ad216cd72471381e295efe70b158c.setContent(html_72dd433b1858444e9cf7906a45ee2470);
            

            circle_marker_c3d97934013d426b9e4ab4916082a38c.bindPopup(popup_0d5ad216cd72471381e295efe70b158c);

            
        
    
            var circle_marker_1fe7d0a1b527438f87f9bf6812c51553 = L.circleMarker(
                [43.725882299999995,-79.31557159999998],
                {
  "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_26e1a5cbd25e485db0bc91f93d50bd24);
            
    
            var popup_deff64ace66f4c5fb5c0b522207f325b = L.popup({maxWidth: '300'});

            
                var html_9f94eadec033406fa737b976a1979d67 = $('<div id="html_9f94eadec033406fa737b976a1979d67" style="width: 100.0%; height: 100.0%;">Victoria Village,North York</div>')[0];
                popup_deff64ace66f4c5fb5c0b522207f325b.setContent(html_9f94eadec033406fa737b976a1979d67);
            

            circle_marker_1fe7d0a1b527438f87f9bf6812c51553.bindPopup(popup_deff64ace66f4c5fb5c0b522207f325b);

            
        
    
            var circle_marker_f227e9f3039448668e7d7d71af01f16e = L.circleMarker(
                [43.7063972,-79.309937],
                {
  "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_26e1a5cbd25e485db0bc91f93d50bd24);
            
    
            var popup_e98b5667725e441fb9704c09d8b33eba = L.popup({maxWidth: '300'});

            
                var html_c1b43baa4c53477ea14de1c9022cb95b = $('<div id="html_c1b43baa4c53477ea14de1c9022cb95b" style="width: 100.0%; height: 100.0%;">Woodbine Gardens,Parkview Hill,East York</div>')[0];
                popup_e98b5667725e441fb9704c09d8b33eba.setContent(html_c1b43baa4c53477ea14de1c9022cb95b);
            

            circle_marker_f227e9f3039448668e7d7d71af01f16e.bindPopup(popup_e98b5667725e441fb9704c09d8b33eba);

            
        
    
            var circle_marker_b29e21c5b53f44908e7981c75bce383f = L.circleMarker(
                [43.695343900000005,-79.3183887],
                {
  "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_26e1a5cbd25e485db0bc91f93d50bd24);
            
    
            var popup_d6608ce78657434d96af3a11fb15e56b = L.popup({maxWidth: '300'});

            
                var html_a3fb3cb8988649bd9e64b6227e065893 = $('<div id="html_a3fb3cb8988649bd9e64b6227e065893" style="width: 100.0%; height: 100.0%;">Woodbine Heights,East York</div>')[0];
                popup_d6608ce78657434d96af3a11fb15e56b.setContent(html_a3fb3cb8988649bd9e64b6227e065893);
            

            circle_marker_b29e21c5b53f44908e7981c75bce383f.bindPopup(popup_d6608ce78657434d96af3a11fb15e56b);

            
        
    
            var circle_marker_16016f99d66e4989bfa32b36e5ca0e59 = L.circleMarker(
                [43.67635739999999,-79.2930312],
                {
  "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_26e1a5cbd25e485db0bc91f93d50bd24);
            
    
            var popup_4d41e2e5d4af4dcc8a15ac9e180e5ba0 = L.popup({maxWidth: '300'});

            
                var html_eac8a6b8dc134bb3b0f9b752da0284f7 = $('<div id="html_eac8a6b8dc134bb3b0f9b752da0284f7" style="width: 100.0%; height: 100.0%;">The Beaches,East Toronto</div>')[0];
                popup_4d41e2e5d4af4dcc8a15ac9e180e5ba0.setContent(html_eac8a6b8dc134bb3b0f9b752da0284f7);
            

            circle_marker_16016f99d66e4989bfa32b36e5ca0e59.bindPopup(popup_4d41e2e5d4af4dcc8a15ac9e180e5ba0);

            
        
    
            var circle_marker_eff36145f61240b49e2c3d5cc7fa17e2 = L.circleMarker(
                [43.7090604,-79.3634517],
                {
  "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_26e1a5cbd25e485db0bc91f93d50bd24);
            
    
            var popup_d1fb3cd34306479481069f61f062d665 = L.popup({maxWidth: '300'});

            
                var html_5e9006afe63a4e80aa47007517fdce8d = $('<div id="html_5e9006afe63a4e80aa47007517fdce8d" style="width: 100.0%; height: 100.0%;">Leaside,East York</div>')[0];
                popup_d1fb3cd34306479481069f61f062d665.setContent(html_5e9006afe63a4e80aa47007517fdce8d);
            

            circle_marker_eff36145f61240b49e2c3d5cc7fa17e2.bindPopup(popup_d1fb3cd34306479481069f61f062d665);

            
        
    
            var circle_marker_b27f311f015247faad2aa68ea66f7b38 = L.circleMarker(
                [43.7053689,-79.34937190000001],
                {
  "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_26e1a5cbd25e485db0bc91f93d50bd24);
            
    
            var popup_ecf08dcc631d4dbebd6e77aac37a0c62 = L.popup({maxWidth: '300'});

            
                var html_8aca481008044197aab2b0f5f67e800f = $('<div id="html_8aca481008044197aab2b0f5f67e800f" style="width: 100.0%; height: 100.0%;">Thorncliffe Park,East York</div>')[0];
                popup_ecf08dcc631d4dbebd6e77aac37a0c62.setContent(html_8aca481008044197aab2b0f5f67e800f);
            

            circle_marker_b27f311f015247faad2aa68ea66f7b38.bindPopup(popup_ecf08dcc631d4dbebd6e77aac37a0c62);

            
        
    
            var circle_marker_63dc19297bc143f0a6e1a2a375546d9d = L.circleMarker(
                [43.685347,-79.3381065],
                {
  "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_26e1a5cbd25e485db0bc91f93d50bd24);
            
    
            var popup_7b3451ab09914e5997bfa2d8bec3358f = L.popup({maxWidth: '300'});

            
                var html_c00a6510d6334d599f49625f73fea8e6 = $('<div id="html_c00a6510d6334d599f49625f73fea8e6" style="width: 100.0%; height: 100.0%;">East Toronto,East York</div>')[0];
                popup_7b3451ab09914e5997bfa2d8bec3358f.setContent(html_c00a6510d6334d599f49625f73fea8e6);
            

            circle_marker_63dc19297bc143f0a6e1a2a375546d9d.bindPopup(popup_7b3451ab09914e5997bfa2d8bec3358f);

            
        
    
            var circle_marker_5fb2dcc7c1884a0987a77685de565e2b = L.circleMarker(
                [43.6795571,-79.352188],
                {
  "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_26e1a5cbd25e485db0bc91f93d50bd24);
            
    
            var popup_3d0f1fa505a64072b155e3c067aaae44 = L.popup({maxWidth: '300'});

            
                var html_b12c06af6e484c5f82ab1f317fdcb539 = $('<div id="html_b12c06af6e484c5f82ab1f317fdcb539" style="width: 100.0%; height: 100.0%;">The Danforth West,Riverdale,East Toronto</div>')[0];
                popup_3d0f1fa505a64072b155e3c067aaae44.setContent(html_b12c06af6e484c5f82ab1f317fdcb539);
            

            circle_marker_5fb2dcc7c1884a0987a77685de565e2b.bindPopup(popup_3d0f1fa505a64072b155e3c067aaae44);

            
        
    
            var circle_marker_68b63ed5931a404db8654ebff7704c4d = L.circleMarker(
                [43.6689985,-79.31557159999998],
                {
  "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_26e1a5cbd25e485db0bc91f93d50bd24);
            
    
            var popup_93d69f431bae4961bca8c8319775139c = L.popup({maxWidth: '300'});

            
                var html_d642aff079e14e7f96936bd81a41284d = $('<div id="html_d642aff079e14e7f96936bd81a41284d" style="width: 100.0%; height: 100.0%;">The Beaches West,India Bazaar,East Toronto</div>')[0];
                popup_93d69f431bae4961bca8c8319775139c.setContent(html_d642aff079e14e7f96936bd81a41284d);
            

            circle_marker_68b63ed5931a404db8654ebff7704c4d.bindPopup(popup_93d69f431bae4961bca8c8319775139c);

            
        
    
            var circle_marker_83616103de0246d6b60036b9806c08f5 = L.circleMarker(
                [43.6595255,-79.340923],
                {
  "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_26e1a5cbd25e485db0bc91f93d50bd24);
            
    
            var popup_dd966f4f410a41e5b0cc2ba8560ea64d = L.popup({maxWidth: '300'});

            
                var html_f61a36b3d6264a8fbead63cf13a3a3a5 = $('<div id="html_f61a36b3d6264a8fbead63cf13a3a3a5" style="width: 100.0%; height: 100.0%;">Studio District,East Toronto</div>')[0];
                popup_dd966f4f410a41e5b0cc2ba8560ea64d.setContent(html_f61a36b3d6264a8fbead63cf13a3a3a5);
            

            circle_marker_83616103de0246d6b60036b9806c08f5.bindPopup(popup_dd966f4f410a41e5b0cc2ba8560ea64d);

            
        
    
            var circle_marker_f1778613e3b54907b57367431c18715c = L.circleMarker(
                [43.7280205,-79.3887901],
                {
  "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_26e1a5cbd25e485db0bc91f93d50bd24);
            
    
            var popup_419a8cff26f14073aa02299446c6758e = L.popup({maxWidth: '300'});

            
                var html_2a5fa0b36e3145eea916cc6e3d8e548d = $('<div id="html_2a5fa0b36e3145eea916cc6e3d8e548d" style="width: 100.0%; height: 100.0%;">Lawrence Park,Central Toronto</div>')[0];
                popup_419a8cff26f14073aa02299446c6758e.setContent(html_2a5fa0b36e3145eea916cc6e3d8e548d);
            

            circle_marker_f1778613e3b54907b57367431c18715c.bindPopup(popup_419a8cff26f14073aa02299446c6758e);

            
        
    
            var circle_marker_e4854313cb6542729d5154a682b6d60f = L.circleMarker(
                [43.7127511,-79.3901975],
                {
  "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_26e1a5cbd25e485db0bc91f93d50bd24);
            
    
            var popup_c6487ec89ce34d1687882c396e5dab68 = L.popup({maxWidth: '300'});

            
                var html_da6f375c00414340ba65da678af4e33b = $('<div id="html_da6f375c00414340ba65da678af4e33b" style="width: 100.0%; height: 100.0%;">Davisville North,Central Toronto</div>')[0];
                popup_c6487ec89ce34d1687882c396e5dab68.setContent(html_da6f375c00414340ba65da678af4e33b);
            

            circle_marker_e4854313cb6542729d5154a682b6d60f.bindPopup(popup_c6487ec89ce34d1687882c396e5dab68);

            
        
    
            var circle_marker_7e4f898dfa9243df8ad85c9e42db7e90 = L.circleMarker(
                [43.7153834,-79.40567840000001],
                {
  "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_26e1a5cbd25e485db0bc91f93d50bd24);
            
    
            var popup_f0a85860a5af4feab7215f9fc31feabb = L.popup({maxWidth: '300'});

            
                var html_ac029021a76c4beeb0cbcb94fcaed52f = $('<div id="html_ac029021a76c4beeb0cbcb94fcaed52f" style="width: 100.0%; height: 100.0%;">North Toronto West,Central Toronto</div>')[0];
                popup_f0a85860a5af4feab7215f9fc31feabb.setContent(html_ac029021a76c4beeb0cbcb94fcaed52f);
            

            circle_marker_7e4f898dfa9243df8ad85c9e42db7e90.bindPopup(popup_f0a85860a5af4feab7215f9fc31feabb);

            
        
    
            var circle_marker_fd2392f8c9564620ab1fe721de9c2536 = L.circleMarker(
                [43.7043244,-79.3887901],
                {
  "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_26e1a5cbd25e485db0bc91f93d50bd24);
            
    
            var popup_09fe46b528054e83951559568c4a5966 = L.popup({maxWidth: '300'});

            
                var html_efc396f7f2cb45a7b0658bf30596bd45 = $('<div id="html_efc396f7f2cb45a7b0658bf30596bd45" style="width: 100.0%; height: 100.0%;">Davisville,Central Toronto</div>')[0];
                popup_09fe46b528054e83951559568c4a5966.setContent(html_efc396f7f2cb45a7b0658bf30596bd45);
            

            circle_marker_fd2392f8c9564620ab1fe721de9c2536.bindPopup(popup_09fe46b528054e83951559568c4a5966);

            
        
    
            var circle_marker_d79a6be54aa44449ac4c9a8a99c4533f = L.circleMarker(
                [43.6895743,-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_26e1a5cbd25e485db0bc91f93d50bd24);
            
    
            var popup_39dbe23595854125892177403c715df0 = L.popup({maxWidth: '300'});

            
                var html_d8e465e3e24149058b332af7a7efad14 = $('<div id="html_d8e465e3e24149058b332af7a7efad14" style="width: 100.0%; height: 100.0%;">Moore Park,Summerhill East,Central Toronto</div>')[0];
                popup_39dbe23595854125892177403c715df0.setContent(html_d8e465e3e24149058b332af7a7efad14);
            

            circle_marker_d79a6be54aa44449ac4c9a8a99c4533f.bindPopup(popup_39dbe23595854125892177403c715df0);

            
        
    
            var circle_marker_acf5613164a349029163bc9e5fe8ec13 = L.circleMarker(
                [43.68641229999999,-79.4000493],
                {
  "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_26e1a5cbd25e485db0bc91f93d50bd24);
            
    
            var popup_cdedc47033554eedbd41364045069e4c = L.popup({maxWidth: '300'});

            
                var html_bb3812449ba94797b8bdcb72fe9cdfbd = $('<div id="html_bb3812449ba94797b8bdcb72fe9cdfbd" style="width: 100.0%; height: 100.0%;">Deer Park,Forest Hill SE,Rathnelly,South Hill,Summerhill West,Central Toronto</div>')[0];
                popup_cdedc47033554eedbd41364045069e4c.setContent(html_bb3812449ba94797b8bdcb72fe9cdfbd);
            

            circle_marker_acf5613164a349029163bc9e5fe8ec13.bindPopup(popup_cdedc47033554eedbd41364045069e4c);

            
        
    
            var circle_marker_a9f150d3df694458bbb4040f28c59816 = 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
}
                ).addTo(map_26e1a5cbd25e485db0bc91f93d50bd24);
            
    
            var popup_7fb48642af724895bc5d31a06e8ff6aa = L.popup({maxWidth: '300'});

            
                var html_c4bb0d3e79054dbf9c836231e8a0606e = $('<div id="html_c4bb0d3e79054dbf9c836231e8a0606e" style="width: 100.0%; height: 100.0%;">Rosedale,Downtown Toronto</div>')[0];
                popup_7fb48642af724895bc5d31a06e8ff6aa.setContent(html_c4bb0d3e79054dbf9c836231e8a0606e);
            

            circle_marker_a9f150d3df694458bbb4040f28c59816.bindPopup(popup_7fb48642af724895bc5d31a06e8ff6aa);

            
        
    
            var circle_marker_6d57384dd25845a9a0e0447618a04099 = 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_26e1a5cbd25e485db0bc91f93d50bd24);
            
    
            var popup_4bda99565fd14b63918ad60a0c8c38d4 = L.popup({maxWidth: '300'});

            
                var html_d453f4caf22645ca913ade4048c57779 = $('<div id="html_d453f4caf22645ca913ade4048c57779" style="width: 100.0%; height: 100.0%;">Cabbagetown,St. James Town,Downtown Toronto</div>')[0];
                popup_4bda99565fd14b63918ad60a0c8c38d4.setContent(html_d453f4caf22645ca913ade4048c57779);
            

            circle_marker_6d57384dd25845a9a0e0447618a04099.bindPopup(popup_4bda99565fd14b63918ad60a0c8c38d4);

            
        
    
            var circle_marker_42ce3d6cb34d421896b4e2e0a915f710 = 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_26e1a5cbd25e485db0bc91f93d50bd24);
            
    
            var popup_c9a6d0e9484b4cf8b3933f92da102df9 = L.popup({maxWidth: '300'});

            
                var html_c8a84a14dafa4cb9b84a2dac813b75f1 = $('<div id="html_c8a84a14dafa4cb9b84a2dac813b75f1" style="width: 100.0%; height: 100.0%;">Church and Wellesley,Downtown Toronto</div>')[0];
                popup_c9a6d0e9484b4cf8b3933f92da102df9.setContent(html_c8a84a14dafa4cb9b84a2dac813b75f1);
            

            circle_marker_42ce3d6cb34d421896b4e2e0a915f710.bindPopup(popup_c9a6d0e9484b4cf8b3933f92da102df9);

            
        
    
            var circle_marker_7d13bfc4cb7645c8883121488f95f7ec = L.circleMarker(
                [43.6542599,-79.3606359],
                {
  "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_26e1a5cbd25e485db0bc91f93d50bd24);
            
    
            var popup_673fd365288a4338a6a4f282f234e96c = L.popup({maxWidth: '300'});

            
                var html_c84b7c0dd2fb4dbc8a16038564aa1e88 = $('<div id="html_c84b7c0dd2fb4dbc8a16038564aa1e88" style="width: 100.0%; height: 100.0%;">Harbourfront,Regent Park,Downtown Toronto</div>')[0];
                popup_673fd365288a4338a6a4f282f234e96c.setContent(html_c84b7c0dd2fb4dbc8a16038564aa1e88);
            

            circle_marker_7d13bfc4cb7645c8883121488f95f7ec.bindPopup(popup_673fd365288a4338a6a4f282f234e96c);

            
        
    
            var circle_marker_dea7e69a2c354fc2bd8be559d3b5713c = L.circleMarker(
                [43.6571618,-79.37893709999999],
                {
  "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_26e1a5cbd25e485db0bc91f93d50bd24);
            
    
            var popup_411668ab32c549e7be746eb7fda26dec = L.popup({maxWidth: '300'});

            
                var html_5aff103cf8ff4935904ca49043088d73 = $('<div id="html_5aff103cf8ff4935904ca49043088d73" style="width: 100.0%; height: 100.0%;">Ryerson,Garden District,Downtown Toronto</div>')[0];
                popup_411668ab32c549e7be746eb7fda26dec.setContent(html_5aff103cf8ff4935904ca49043088d73);
            

            circle_marker_dea7e69a2c354fc2bd8be559d3b5713c.bindPopup(popup_411668ab32c549e7be746eb7fda26dec);

            
        
    
            var circle_marker_2ee0b478f6314fa3aa51ec1463cde640 = L.circleMarker(
                [43.6514939,-79.3754179],
                {
  "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_26e1a5cbd25e485db0bc91f93d50bd24);
            
    
            var popup_446bd7095fa14996bed07d1182a20092 = L.popup({maxWidth: '300'});

            
                var html_736df0a43d9b4a10a8209445045ddde4 = $('<div id="html_736df0a43d9b4a10a8209445045ddde4" style="width: 100.0%; height: 100.0%;">St. James Town,Downtown Toronto</div>')[0];
                popup_446bd7095fa14996bed07d1182a20092.setContent(html_736df0a43d9b4a10a8209445045ddde4);
            

            circle_marker_2ee0b478f6314fa3aa51ec1463cde640.bindPopup(popup_446bd7095fa14996bed07d1182a20092);

            
        
    
            var circle_marker_a5ab9092b9fb4835b49cc25bba3cdbe0 = L.circleMarker(
                [43.644770799999996,-79.3733064],
                {
  "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_26e1a5cbd25e485db0bc91f93d50bd24);
            
    
            var popup_9cb82d094b164c538008ffe9705b2c49 = L.popup({maxWidth: '300'});

            
                var html_60fa6e48c4554426a0c3c3745f155e0d = $('<div id="html_60fa6e48c4554426a0c3c3745f155e0d" style="width: 100.0%; height: 100.0%;">Berczy Park,Downtown Toronto</div>')[0];
                popup_9cb82d094b164c538008ffe9705b2c49.setContent(html_60fa6e48c4554426a0c3c3745f155e0d);
            

            circle_marker_a5ab9092b9fb4835b49cc25bba3cdbe0.bindPopup(popup_9cb82d094b164c538008ffe9705b2c49);

            
        
    
            var circle_marker_aaa351c5f9324131b23f11eb78a429ac = L.circleMarker(
                [43.6579524,-79.3873826],
                {
  "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_26e1a5cbd25e485db0bc91f93d50bd24);
            
    
            var popup_65bb0a717bc24c63ba85e05ed851fbc0 = L.popup({maxWidth: '300'});

            
                var html_ed25851613414f6a95a74a49cfd68895 = $('<div id="html_ed25851613414f6a95a74a49cfd68895" style="width: 100.0%; height: 100.0%;">Central Bay Street,Downtown Toronto</div>')[0];
                popup_65bb0a717bc24c63ba85e05ed851fbc0.setContent(html_ed25851613414f6a95a74a49cfd68895);
            

            circle_marker_aaa351c5f9324131b23f11eb78a429ac.bindPopup(popup_65bb0a717bc24c63ba85e05ed851fbc0);

            
        
    
            var circle_marker_64fc2edf4d8c4b138840e5aedf477f94 = L.circleMarker(
                [43.65057120000001,-79.3845675],
                {
  "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_26e1a5cbd25e485db0bc91f93d50bd24);
            
    
            var popup_996f6d1045b14c1ea590d221a06a2b79 = L.popup({maxWidth: '300'});

            
                var html_a8734b25cf744d7180a1b02bdf6494b3 = $('<div id="html_a8734b25cf744d7180a1b02bdf6494b3" style="width: 100.0%; height: 100.0%;">Adelaide,King,Richmond,Downtown Toronto</div>')[0];
                popup_996f6d1045b14c1ea590d221a06a2b79.setContent(html_a8734b25cf744d7180a1b02bdf6494b3);
            

            circle_marker_64fc2edf4d8c4b138840e5aedf477f94.bindPopup(popup_996f6d1045b14c1ea590d221a06a2b79);

            
        
    
            var circle_marker_5d3799a58c844f23a15573a21de217ab = L.circleMarker(
                [43.6408157,-79.38175229999999],
                {
  "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_26e1a5cbd25e485db0bc91f93d50bd24);
            
    
            var popup_b75c9ae362f24a24b3c2bc6afe431507 = L.popup({maxWidth: '300'});

            
                var html_2c3e71f159f542c4b4513f8359ffab9f = $('<div id="html_2c3e71f159f542c4b4513f8359ffab9f" style="width: 100.0%; height: 100.0%;">Harbourfront East,Toronto Islands,Union Station,Downtown Toronto</div>')[0];
                popup_b75c9ae362f24a24b3c2bc6afe431507.setContent(html_2c3e71f159f542c4b4513f8359ffab9f);
            

            circle_marker_5d3799a58c844f23a15573a21de217ab.bindPopup(popup_b75c9ae362f24a24b3c2bc6afe431507);

            
        
    
            var circle_marker_f1b0328afc744bcb959a726983400405 = L.circleMarker(
                [43.6471768,-79.38157640000001],
                {
  "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_26e1a5cbd25e485db0bc91f93d50bd24);
            
    
            var popup_bf96e8e093ca451b9ac27b925811fb00 = L.popup({maxWidth: '300'});

            
                var html_4aae18568d2b4f89b43191ee85f09cca = $('<div id="html_4aae18568d2b4f89b43191ee85f09cca" style="width: 100.0%; height: 100.0%;">Design Exchange,Toronto Dominion Centre,Downtown Toronto</div>')[0];
                popup_bf96e8e093ca451b9ac27b925811fb00.setContent(html_4aae18568d2b4f89b43191ee85f09cca);
            

            circle_marker_f1b0328afc744bcb959a726983400405.bindPopup(popup_bf96e8e093ca451b9ac27b925811fb00);

            
        
    
            var circle_marker_3ccacd4587a045df8ed371324eb992dc = L.circleMarker(
                [43.6481985,-79.37981690000001],
                {
  "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_26e1a5cbd25e485db0bc91f93d50bd24);
            
    
            var popup_6a4fccd0585b4bb5918406a237e63ef2 = L.popup({maxWidth: '300'});

            
                var html_8fbb2bebb97545d181111e451d1d89a1 = $('<div id="html_8fbb2bebb97545d181111e451d1d89a1" style="width: 100.0%; height: 100.0%;">Commerce Court,Victoria Hotel,Downtown Toronto</div>')[0];
                popup_6a4fccd0585b4bb5918406a237e63ef2.setContent(html_8fbb2bebb97545d181111e451d1d89a1);
            

            circle_marker_3ccacd4587a045df8ed371324eb992dc.bindPopup(popup_6a4fccd0585b4bb5918406a237e63ef2);

            
        
    
            var circle_marker_0c753090c12948859bd58415feb175e0 = L.circleMarker(
                [43.7332825,-79.4197497],
                {
  "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_26e1a5cbd25e485db0bc91f93d50bd24);
            
    
            var popup_f6f5f5d81d634c1e946bc3f6f65803b5 = L.popup({maxWidth: '300'});

            
                var html_21dafc70d1dc4954903ece30c7f9463b = $('<div id="html_21dafc70d1dc4954903ece30c7f9463b" style="width: 100.0%; height: 100.0%;">Bedford Park,Lawrence Manor East,North York</div>')[0];
                popup_f6f5f5d81d634c1e946bc3f6f65803b5.setContent(html_21dafc70d1dc4954903ece30c7f9463b);
            

            circle_marker_0c753090c12948859bd58415feb175e0.bindPopup(popup_f6f5f5d81d634c1e946bc3f6f65803b5);

            
        
    
            var circle_marker_b0c5cd9090a74779b8006c68a0062363 = L.circleMarker(
                [43.7116948,-79.41693559999999],
                {
  "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_26e1a5cbd25e485db0bc91f93d50bd24);
            
    
            var popup_53fc3d5b473e4d57ad6593ebf7ee534c = L.popup({maxWidth: '300'});

            
                var html_2efd548911224b8bb3a9aeaa267dc293 = $('<div id="html_2efd548911224b8bb3a9aeaa267dc293" style="width: 100.0%; height: 100.0%;">Roselawn,Central Toronto</div>')[0];
                popup_53fc3d5b473e4d57ad6593ebf7ee534c.setContent(html_2efd548911224b8bb3a9aeaa267dc293);
            

            circle_marker_b0c5cd9090a74779b8006c68a0062363.bindPopup(popup_53fc3d5b473e4d57ad6593ebf7ee534c);

            
        
    
            var circle_marker_dccbb4a974ef49d88ce4c7eedbe8a79d = L.circleMarker(
                [43.6969476,-79.41130720000001],
                {
  "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_26e1a5cbd25e485db0bc91f93d50bd24);
            
    
            var popup_733012399ae6447b9ad46ea95e36ac29 = L.popup({maxWidth: '300'});

            
                var html_b5b2a7d8aea04a60a7d65c7d20ac0834 = $('<div id="html_b5b2a7d8aea04a60a7d65c7d20ac0834" style="width: 100.0%; height: 100.0%;">Forest Hill North,Forest Hill West,Central Toronto</div>')[0];
                popup_733012399ae6447b9ad46ea95e36ac29.setContent(html_b5b2a7d8aea04a60a7d65c7d20ac0834);
            

            circle_marker_dccbb4a974ef49d88ce4c7eedbe8a79d.bindPopup(popup_733012399ae6447b9ad46ea95e36ac29);

            
        
    
            var circle_marker_a78c7e62bf054ada8c756ea053d44f6a = L.circleMarker(
                [43.6727097,-79.40567840000001],
                {
  "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_26e1a5cbd25e485db0bc91f93d50bd24);
            
    
            var popup_566d1c86d8c44eab8e9347b5dacab429 = L.popup({maxWidth: '300'});

            
                var html_be52fb4c750243f59f714d693724db0b = $('<div id="html_be52fb4c750243f59f714d693724db0b" style="width: 100.0%; height: 100.0%;">The Annex,North Midtown,Yorkville,Central Toronto</div>')[0];
                popup_566d1c86d8c44eab8e9347b5dacab429.setContent(html_be52fb4c750243f59f714d693724db0b);
            

            circle_marker_a78c7e62bf054ada8c756ea053d44f6a.bindPopup(popup_566d1c86d8c44eab8e9347b5dacab429);

            
        
    
            var circle_marker_0ecc2659ba7e44de95868fd31a2db204 = L.circleMarker(
                [43.6626956,-79.4000493],
                {
  "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_26e1a5cbd25e485db0bc91f93d50bd24);
            
    
            var popup_8ba9513382714fcfa44fef247205a9ac = L.popup({maxWidth: '300'});

            
                var html_c5ff0b27f6e04170ac177a58e7ce7aad = $('<div id="html_c5ff0b27f6e04170ac177a58e7ce7aad" style="width: 100.0%; height: 100.0%;">Harbord,University of Toronto,Downtown Toronto</div>')[0];
                popup_8ba9513382714fcfa44fef247205a9ac.setContent(html_c5ff0b27f6e04170ac177a58e7ce7aad);
            

            circle_marker_0ecc2659ba7e44de95868fd31a2db204.bindPopup(popup_8ba9513382714fcfa44fef247205a9ac);

            
        
    
            var circle_marker_4f5ba30e3caf4e69838d6fc2561ce750 = L.circleMarker(
                [43.6532057,-79.4000493],
                {
  "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_26e1a5cbd25e485db0bc91f93d50bd24);
            
    
            var popup_bc610bf760d3443bae7e58744e63b970 = L.popup({maxWidth: '300'});

            
                var html_42808e2ec1374f488eb7afce54b626d2 = $('<div id="html_42808e2ec1374f488eb7afce54b626d2" style="width: 100.0%; height: 100.0%;">Chinatown,Grange Park,Kensington Market,Downtown Toronto</div>')[0];
                popup_bc610bf760d3443bae7e58744e63b970.setContent(html_42808e2ec1374f488eb7afce54b626d2);
            

            circle_marker_4f5ba30e3caf4e69838d6fc2561ce750.bindPopup(popup_bc610bf760d3443bae7e58744e63b970);

            
        
    
            var circle_marker_f77531c5b0cf4552a02b949ec3ca30d5 = L.circleMarker(
                [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_26e1a5cbd25e485db0bc91f93d50bd24);
            
    
            var popup_15fb16f0ffb740ae95997f5a069b0b3f = L.popup({maxWidth: '300'});

            
                var html_9006f1476f514f1da65156b298c6491b = $('<div id="html_9006f1476f514f1da65156b298c6491b" style="width: 100.0%; height: 100.0%;">CN Tower,Bathurst Quay,Island airport,Harbourfront West,King and Spadina,Railway Lands,South Niagara,Downtown Toronto</div>')[0];
                popup_15fb16f0ffb740ae95997f5a069b0b3f.setContent(html_9006f1476f514f1da65156b298c6491b);
            

            circle_marker_f77531c5b0cf4552a02b949ec3ca30d5.bindPopup(popup_15fb16f0ffb740ae95997f5a069b0b3f);

            
        
    
            var circle_marker_6c0f88a6dd76445f86473e49360de109 = 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_26e1a5cbd25e485db0bc91f93d50bd24);
            
    
            var popup_252e242daf114f5481e5934d2274087f = L.popup({maxWidth: '300'});

            
                var html_7ba667bf1c5c47e19e9e18effbc42e67 = $('<div id="html_7ba667bf1c5c47e19e9e18effbc42e67" style="width: 100.0%; height: 100.0%;">Stn A PO Boxes 25 The Esplanade,Downtown Toronto</div>')[0];
                popup_252e242daf114f5481e5934d2274087f.setContent(html_7ba667bf1c5c47e19e9e18effbc42e67);
            

            circle_marker_6c0f88a6dd76445f86473e49360de109.bindPopup(popup_252e242daf114f5481e5934d2274087f);

            
        
    
            var circle_marker_2aa1bc16b23a44fab14ee0d1ac2faa90 = 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_26e1a5cbd25e485db0bc91f93d50bd24);
            
    
            var popup_68e982bbe85b44f7a1a66c2496a7209e = L.popup({maxWidth: '300'});

            
                var html_b53aeb8e8559434c9d270f14a3c2c6d6 = $('<div id="html_b53aeb8e8559434c9d270f14a3c2c6d6" style="width: 100.0%; height: 100.0%;">First Canadian Place,Underground city,Downtown Toronto</div>')[0];
                popup_68e982bbe85b44f7a1a66c2496a7209e.setContent(html_b53aeb8e8559434c9d270f14a3c2c6d6);
            

            circle_marker_2aa1bc16b23a44fab14ee0d1ac2faa90.bindPopup(popup_68e982bbe85b44f7a1a66c2496a7209e);

            
        
    
            var circle_marker_5a750a21b6d941b8a9124a1b2aff017e = L.circleMarker(
                [43.718517999999996,-79.46476329999999],
                {
  "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_26e1a5cbd25e485db0bc91f93d50bd24);
            
    
            var popup_7188081116b74597a0df1309a19974d0 = L.popup({maxWidth: '300'});

            
                var html_67f2492fc4d948c4ba629c53d5b0c98c = $('<div id="html_67f2492fc4d948c4ba629c53d5b0c98c" style="width: 100.0%; height: 100.0%;">Lawrence Heights,Lawrence Manor,North York</div>')[0];
                popup_7188081116b74597a0df1309a19974d0.setContent(html_67f2492fc4d948c4ba629c53d5b0c98c);
            

            circle_marker_5a750a21b6d941b8a9124a1b2aff017e.bindPopup(popup_7188081116b74597a0df1309a19974d0);

            
        
    
            var circle_marker_16d5a13fad1b46abb9c4f0fc1aff65b9 = L.circleMarker(
                [43.709577,-79.44507259999999],
                {
  "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_26e1a5cbd25e485db0bc91f93d50bd24);
            
    
            var popup_690e9e3ed1614607ac165a17d5b3d348 = L.popup({maxWidth: '300'});

            
                var html_1c5cb98a48494bb6b73f5f205efc017e = $('<div id="html_1c5cb98a48494bb6b73f5f205efc017e" style="width: 100.0%; height: 100.0%;">Glencairn,North York</div>')[0];
                popup_690e9e3ed1614607ac165a17d5b3d348.setContent(html_1c5cb98a48494bb6b73f5f205efc017e);
            

            circle_marker_16d5a13fad1b46abb9c4f0fc1aff65b9.bindPopup(popup_690e9e3ed1614607ac165a17d5b3d348);

            
        
    
            var circle_marker_25e2f4b87ef14f3aa6b60912aa023040 = L.circleMarker(
                [43.6937813,-79.42819140000002],
                {
  "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_26e1a5cbd25e485db0bc91f93d50bd24);
            
    
            var popup_7011e9227f3f4d5b9b06163d56a3e83b = L.popup({maxWidth: '300'});

            
                var html_84fe36f9b3924994b7c255d07d8c5748 = $('<div id="html_84fe36f9b3924994b7c255d07d8c5748" style="width: 100.0%; height: 100.0%;">Humewood-Cedarvale,York</div>')[0];
                popup_7011e9227f3f4d5b9b06163d56a3e83b.setContent(html_84fe36f9b3924994b7c255d07d8c5748);
            

            circle_marker_25e2f4b87ef14f3aa6b60912aa023040.bindPopup(popup_7011e9227f3f4d5b9b06163d56a3e83b);

            
        
    
            var circle_marker_8cef2b1d91424c10821ac34745d2ce96 = L.circleMarker(
                [43.6890256,-79.453512],
                {
  "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_26e1a5cbd25e485db0bc91f93d50bd24);
            
    
            var popup_36af4469676a404e8f555b0e1e71393c = L.popup({maxWidth: '300'});

            
                var html_0884b03afa2445a89c04dd3d7cc627aa = $('<div id="html_0884b03afa2445a89c04dd3d7cc627aa" style="width: 100.0%; height: 100.0%;">Caledonia-Fairbanks,York</div>')[0];
                popup_36af4469676a404e8f555b0e1e71393c.setContent(html_0884b03afa2445a89c04dd3d7cc627aa);
            

            circle_marker_8cef2b1d91424c10821ac34745d2ce96.bindPopup(popup_36af4469676a404e8f555b0e1e71393c);

            
        
    
            var circle_marker_5f738ce0b7044fc5b6de8a3ea22c1137 = L.circleMarker(
                [43.669542,-79.4225637],
                {
  "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_26e1a5cbd25e485db0bc91f93d50bd24);
            
    
            var popup_a8f17146310f4bd1bafbf3624c7d2d62 = L.popup({maxWidth: '300'});

            
                var html_b505d25086234c85b9b4fa31848f206e = $('<div id="html_b505d25086234c85b9b4fa31848f206e" style="width: 100.0%; height: 100.0%;">Christie,Downtown Toronto</div>')[0];
                popup_a8f17146310f4bd1bafbf3624c7d2d62.setContent(html_b505d25086234c85b9b4fa31848f206e);
            

            circle_marker_5f738ce0b7044fc5b6de8a3ea22c1137.bindPopup(popup_a8f17146310f4bd1bafbf3624c7d2d62);

            
        
    
            var circle_marker_3b81cd00963744328b7564bc50af5657 = L.circleMarker(
                [43.66900510000001,-79.4422593],
                {
  "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_26e1a5cbd25e485db0bc91f93d50bd24);
            
    
            var popup_ff3e12161a37498fa53fdff5d3ff2ea0 = L.popup({maxWidth: '300'});

            
                var html_c448fb74adc7479785121e1b713482d3 = $('<div id="html_c448fb74adc7479785121e1b713482d3" style="width: 100.0%; height: 100.0%;">Dovercourt Village,Dufferin,West Toronto</div>')[0];
                popup_ff3e12161a37498fa53fdff5d3ff2ea0.setContent(html_c448fb74adc7479785121e1b713482d3);
            

            circle_marker_3b81cd00963744328b7564bc50af5657.bindPopup(popup_ff3e12161a37498fa53fdff5d3ff2ea0);

            
        
    
            var circle_marker_256e2357197544349ed3d8c2bdfaf819 = L.circleMarker(
                [43.647926700000006,-79.4197497],
                {
  "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_26e1a5cbd25e485db0bc91f93d50bd24);
            
    
            var popup_1d01bbcda9a34d0e89d8899a99f8ee22 = L.popup({maxWidth: '300'});

            
                var html_d255f9c434e54c5c953242f474e02329 = $('<div id="html_d255f9c434e54c5c953242f474e02329" style="width: 100.0%; height: 100.0%;">Little Portugal,Trinity,West Toronto</div>')[0];
                popup_1d01bbcda9a34d0e89d8899a99f8ee22.setContent(html_d255f9c434e54c5c953242f474e02329);
            

            circle_marker_256e2357197544349ed3d8c2bdfaf819.bindPopup(popup_1d01bbcda9a34d0e89d8899a99f8ee22);

            
        
    
            var circle_marker_08c24b0880d647b9b5c60fbcd2f2b576 = L.circleMarker(
                [43.6368472,-79.42819140000002],
                {
  "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_26e1a5cbd25e485db0bc91f93d50bd24);
            
    
            var popup_3b7f169a865745feaffc26d45a13a3fe = L.popup({maxWidth: '300'});

            
                var html_4eb1569aa248432ab7db1718b6dbb0b5 = $('<div id="html_4eb1569aa248432ab7db1718b6dbb0b5" style="width: 100.0%; height: 100.0%;">Brockton,Exhibition Place,Parkdale Village,West Toronto</div>')[0];
                popup_3b7f169a865745feaffc26d45a13a3fe.setContent(html_4eb1569aa248432ab7db1718b6dbb0b5);
            

            circle_marker_08c24b0880d647b9b5c60fbcd2f2b576.bindPopup(popup_3b7f169a865745feaffc26d45a13a3fe);

            
        
    
            var circle_marker_93759f1d5d41493d804c3131819c9b4c = L.circleMarker(
                [43.713756200000006,-79.4900738],
                {
  "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_26e1a5cbd25e485db0bc91f93d50bd24);
            
    
            var popup_f007f98be9d94e6a991bedcdc06dfcb8 = L.popup({maxWidth: '300'});

            
                var html_d202cc6782e64f7e80e467676db5d810 = $('<div id="html_d202cc6782e64f7e80e467676db5d810" style="width: 100.0%; height: 100.0%;">Downsview,North Park,Upwood Park,North York</div>')[0];
                popup_f007f98be9d94e6a991bedcdc06dfcb8.setContent(html_d202cc6782e64f7e80e467676db5d810);
            

            circle_marker_93759f1d5d41493d804c3131819c9b4c.bindPopup(popup_f007f98be9d94e6a991bedcdc06dfcb8);

            
        
    
            var circle_marker_131911d667e74c6c8a099eb01949c048 = L.circleMarker(
                [43.6911158,-79.47601329999999],
                {
  "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_26e1a5cbd25e485db0bc91f93d50bd24);
            
    
            var popup_43f2e8b5e2254abd85298da69227b71f = L.popup({maxWidth: '300'});

            
                var html_d9d4c259147c4cf2aa112f7ef9a51c3d = $('<div id="html_d9d4c259147c4cf2aa112f7ef9a51c3d" style="width: 100.0%; height: 100.0%;">Del Ray,Keelesdale,Mount Dennis,Silverthorn,York</div>')[0];
                popup_43f2e8b5e2254abd85298da69227b71f.setContent(html_d9d4c259147c4cf2aa112f7ef9a51c3d);
            

            circle_marker_131911d667e74c6c8a099eb01949c048.bindPopup(popup_43f2e8b5e2254abd85298da69227b71f);

            
        
    
            var circle_marker_8b836ab993f74315ba6d80a2cf324184 = L.circleMarker(
                [43.67318529999999,-79.48726190000001],
                {
  "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_26e1a5cbd25e485db0bc91f93d50bd24);
            
    
            var popup_19270f60a4ce45fda09200d28ece351f = L.popup({maxWidth: '300'});

            
                var html_953f239752eb41638541e188b2d78e8a = $('<div id="html_953f239752eb41638541e188b2d78e8a" style="width: 100.0%; height: 100.0%;">The Junction North,Runnymede,York</div>')[0];
                popup_19270f60a4ce45fda09200d28ece351f.setContent(html_953f239752eb41638541e188b2d78e8a);
            

            circle_marker_8b836ab993f74315ba6d80a2cf324184.bindPopup(popup_19270f60a4ce45fda09200d28ece351f);

            
        
    
            var circle_marker_5a3a638e7345404daca01fe04e9aa6dd = L.circleMarker(
                [43.6616083,-79.46476329999999],
                {
  "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_26e1a5cbd25e485db0bc91f93d50bd24);
            
    
            var popup_17325770f64644e68f6c2dbe9831acd6 = L.popup({maxWidth: '300'});

            
                var html_71188b66a7ea4e82b5a590f3f5f6aee4 = $('<div id="html_71188b66a7ea4e82b5a590f3f5f6aee4" style="width: 100.0%; height: 100.0%;">High Park,The Junction South,West Toronto</div>')[0];
                popup_17325770f64644e68f6c2dbe9831acd6.setContent(html_71188b66a7ea4e82b5a590f3f5f6aee4);
            

            circle_marker_5a3a638e7345404daca01fe04e9aa6dd.bindPopup(popup_17325770f64644e68f6c2dbe9831acd6);

            
        
    
            var circle_marker_a36e66dcf06545f397c387cb7f0c9dc5 = L.circleMarker(
                [43.6489597,-79.456325],
                {
  "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_26e1a5cbd25e485db0bc91f93d50bd24);
            
    
            var popup_e13607cafb07400ea6d99d9760e8c42f = L.popup({maxWidth: '300'});

            
                var html_dcb04b3da72a4245b7bd91b4d588a2c1 = $('<div id="html_dcb04b3da72a4245b7bd91b4d588a2c1" style="width: 100.0%; height: 100.0%;">Parkdale,Roncesvalles,West Toronto</div>')[0];
                popup_e13607cafb07400ea6d99d9760e8c42f.setContent(html_dcb04b3da72a4245b7bd91b4d588a2c1);
            

            circle_marker_a36e66dcf06545f397c387cb7f0c9dc5.bindPopup(popup_e13607cafb07400ea6d99d9760e8c42f);

            
        
    
            var circle_marker_c08ffc6e2aa3472d80cfc9200e19b71c = L.circleMarker(
                [43.6515706,-79.4844499],
                {
  "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_26e1a5cbd25e485db0bc91f93d50bd24);
            
    
            var popup_9fb1bc2affb7416d9cb18cb0f237f01c = L.popup({maxWidth: '300'});

            
                var html_e935477900304f3e8bfe784434247644 = $('<div id="html_e935477900304f3e8bfe784434247644" style="width: 100.0%; height: 100.0%;">Runnymede,Swansea,West Toronto</div>')[0];
                popup_9fb1bc2affb7416d9cb18cb0f237f01c.setContent(html_e935477900304f3e8bfe784434247644);
            

            circle_marker_c08ffc6e2aa3472d80cfc9200e19b71c.bindPopup(popup_9fb1bc2affb7416d9cb18cb0f237f01c);

            
        
    
            var circle_marker_4e5e663ec6e14354a3ba555e30005b05 = L.circleMarker(
                [43.6623015,-79.3894938],
                {
  "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_26e1a5cbd25e485db0bc91f93d50bd24);
            
    
            var popup_8ca1b9fc66c148c58c9b9af73996e00c = L.popup({maxWidth: '300'});

            
                var html_97dfa5823dc34605a46c88c9ad5f2e0d = $('<div id="html_97dfa5823dc34605a46c88c9ad5f2e0d" style="width: 100.0%; height: 100.0%;">Queen&#39;s Park,Queen&#39;s Park</div>')[0];
                popup_8ca1b9fc66c148c58c9b9af73996e00c.setContent(html_97dfa5823dc34605a46c88c9ad5f2e0d);
            

            circle_marker_4e5e663ec6e14354a3ba555e30005b05.bindPopup(popup_8ca1b9fc66c148c58c9b9af73996e00c);

            
        
    
            var circle_marker_22cc930647144da5a718fd1170dc4a03 = L.circleMarker(
                [43.6369656,-79.61581899999999],
                {
  "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_26e1a5cbd25e485db0bc91f93d50bd24);
            
    
            var popup_2b5c34926efb481f92928ca24792424e = L.popup({maxWidth: '300'});

            
                var html_bf423dc0df054cfbb063778fa13053cf = $('<div id="html_bf423dc0df054cfbb063778fa13053cf" style="width: 100.0%; height: 100.0%;">Canada Post Gateway Processing Centre,Mississauga</div>')[0];
                popup_2b5c34926efb481f92928ca24792424e.setContent(html_bf423dc0df054cfbb063778fa13053cf);
            

            circle_marker_22cc930647144da5a718fd1170dc4a03.bindPopup(popup_2b5c34926efb481f92928ca24792424e);

            
        
    
            var circle_marker_e0239e205c554a528d47ca1fe19cf858 = 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_26e1a5cbd25e485db0bc91f93d50bd24);
            
    
            var popup_89bdcc61e22e4f039d2ea8eb74e5e82c = L.popup({maxWidth: '300'});

            
                var html_491166ff890743fc9dccc0554737153b = $('<div id="html_491166ff890743fc9dccc0554737153b" style="width: 100.0%; height: 100.0%;">Business Reply Mail Processing Centre 969 Eastern,East Toronto</div>')[0];
                popup_89bdcc61e22e4f039d2ea8eb74e5e82c.setContent(html_491166ff890743fc9dccc0554737153b);
            

            circle_marker_e0239e205c554a528d47ca1fe19cf858.bindPopup(popup_89bdcc61e22e4f039d2ea8eb74e5e82c);

            
        
    
            var circle_marker_9238e6c8188547b78a3e8b3ab8986074 = L.circleMarker(
                [43.6056466,-79.50132070000001],
                {
  "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_26e1a5cbd25e485db0bc91f93d50bd24);
            
    
            var popup_1b8ba714da7d47d1abafe6d12e26b348 = L.popup({maxWidth: '300'});

            
                var html_b2c9288f683044e2a286dff314c2ab16 = $('<div id="html_b2c9288f683044e2a286dff314c2ab16" style="width: 100.0%; height: 100.0%;">Humber Bay Shores,Mimico South,New Toronto,Etobicoke</div>')[0];
                popup_1b8ba714da7d47d1abafe6d12e26b348.setContent(html_b2c9288f683044e2a286dff314c2ab16);
            

            circle_marker_9238e6c8188547b78a3e8b3ab8986074.bindPopup(popup_1b8ba714da7d47d1abafe6d12e26b348);

            
        
    
            var circle_marker_1d5c833ddd4749e28a63ccf84acbd311 = L.circleMarker(
                [43.60241370000001,-79.54348409999999],
                {
  "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_26e1a5cbd25e485db0bc91f93d50bd24);
            
    
            var popup_ccf8608b7f6e46e1800c1112c0d5cbf5 = L.popup({maxWidth: '300'});

            
                var html_4db9ee6f202b4534b1a0f8fe1e37a658 = $('<div id="html_4db9ee6f202b4534b1a0f8fe1e37a658" style="width: 100.0%; height: 100.0%;">Alderwood,Long Branch,Etobicoke</div>')[0];
                popup_ccf8608b7f6e46e1800c1112c0d5cbf5.setContent(html_4db9ee6f202b4534b1a0f8fe1e37a658);
            

            circle_marker_1d5c833ddd4749e28a63ccf84acbd311.bindPopup(popup_ccf8608b7f6e46e1800c1112c0d5cbf5);

            
        
    
            var circle_marker_6aa0836dc0ad42b68112bcf4f636748a = L.circleMarker(
                [43.653653600000005,-79.5069436],
                {
  "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_26e1a5cbd25e485db0bc91f93d50bd24);
            
    
            var popup_2c946e65d76947679d0407c24532b6af = L.popup({maxWidth: '300'});

            
                var html_75ce0447a3634703a8eff8ce6c161dd9 = $('<div id="html_75ce0447a3634703a8eff8ce6c161dd9" style="width: 100.0%; height: 100.0%;">The Kingsway,Montgomery Road,Old Mill North,Etobicoke</div>')[0];
                popup_2c946e65d76947679d0407c24532b6af.setContent(html_75ce0447a3634703a8eff8ce6c161dd9);
            

            circle_marker_6aa0836dc0ad42b68112bcf4f636748a.bindPopup(popup_2c946e65d76947679d0407c24532b6af);

            
        
    
            var circle_marker_106aedacb61f4379a2ce9792123a33c6 = L.circleMarker(
                [43.6362579,-79.49850909999999],
                {
  "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_26e1a5cbd25e485db0bc91f93d50bd24);
            
    
            var popup_943f4a3c26054092ac2143a073213c52 = L.popup({maxWidth: '300'});

            
                var html_d396a44b4fd84d15bb54a3c0d2594170 = $('<div id="html_d396a44b4fd84d15bb54a3c0d2594170" style="width: 100.0%; height: 100.0%;">Humber Bay,King&#39;s Mill Park,Kingsway Park South East,Mimico NE,Old Mill South,The Queensway East,Royal York South East,Sunnylea,Etobicoke</div>')[0];
                popup_943f4a3c26054092ac2143a073213c52.setContent(html_d396a44b4fd84d15bb54a3c0d2594170);
            

            circle_marker_106aedacb61f4379a2ce9792123a33c6.bindPopup(popup_943f4a3c26054092ac2143a073213c52);

            
        
    
            var circle_marker_ae8538831e3946e5bed73b37692c049f = L.circleMarker(
                [43.6288408,-79.52099940000001],
                {
  "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_26e1a5cbd25e485db0bc91f93d50bd24);
            
    
            var popup_5fefb1e2b39145618efc243fcf8f22ef = L.popup({maxWidth: '300'});

            
                var html_e44302a0f25d4574aeade9ab660c1766 = $('<div id="html_e44302a0f25d4574aeade9ab660c1766" style="width: 100.0%; height: 100.0%;">Kingsway Park South West,Mimico NW,The Queensway West,Royal York South West,South of Bloor,Etobicoke</div>')[0];
                popup_5fefb1e2b39145618efc243fcf8f22ef.setContent(html_e44302a0f25d4574aeade9ab660c1766);
            

            circle_marker_ae8538831e3946e5bed73b37692c049f.bindPopup(popup_5fefb1e2b39145618efc243fcf8f22ef);

            
        
    
            var circle_marker_ad3fea3909d4480295edb9d25c9defe6 = L.circleMarker(
                [43.6678556,-79.53224240000002],
                {
  "bubblingMouseEvents": true,
  "color": "blue",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#3186cc",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_26e1a5cbd25e485db0bc91f93d50bd24);
            
    
            var popup_d572399212a24442a14c3e1527e146f9 = L.popup({maxWidth: '300'});

            
                var html_1e302e0789f64b619a3da93fbaa86bd2 = $('<div id="html_1e302e0789f64b619a3da93fbaa86bd2" style="width: 100.0%; height: 100.0%;">Islington Avenue,Etobicoke</div>')[0];
                popup_d572399212a24442a14c3e1527e146f9.setContent(html_1e302e0789f64b619a3da93fbaa86bd2);
            

            circle_marker_ad3fea3909d4480295edb9d25c9defe6.bindPopup(popup_d572399212a24442a14c3e1527e146f9);

            
        
    
            var circle_marker_39275a57f7c547dca0d3eb8f0decf072 = L.circleMarker(
                [43.6509432,-79.55472440000001],
                {
  "bubblingMouseEvents": true,
  "color": "blue",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#3186cc",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_26e1a5cbd25e485db0bc91f93d50bd24);
            
    
            var popup_5774480101ac4c199c6a198db00503c9 = L.popup({maxWidth: '300'});

            
                var html_fd754c2885ee42cdb8c279f433529c62 = $('<div id="html_fd754c2885ee42cdb8c279f433529c62" style="width: 100.0%; height: 100.0%;">Cloverdale,Islington,Martin Grove,Princess Gardens,West Deane Park,Etobicoke</div>')[0];
                popup_5774480101ac4c199c6a198db00503c9.setContent(html_fd754c2885ee42cdb8c279f433529c62);
            

            circle_marker_39275a57f7c547dca0d3eb8f0decf072.bindPopup(popup_5774480101ac4c199c6a198db00503c9);

            
        
    
            var circle_marker_501fa28df3a14c6292d3b99da8afc343 = L.circleMarker(
                [43.6435152,-79.57720079999999],
                {
  "bubblingMouseEvents": true,
  "color": "blue",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#3186cc",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_26e1a5cbd25e485db0bc91f93d50bd24);
            
    
            var popup_31b227847277411bb65cf46dd15daffb = L.popup({maxWidth: '300'});

            
                var html_1f435c08c8954b0ebb481c0f5903fc6e = $('<div id="html_1f435c08c8954b0ebb481c0f5903fc6e" style="width: 100.0%; height: 100.0%;">Bloordale Gardens,Eringate,Markland Wood,Old Burnhamthorpe,Etobicoke</div>')[0];
                popup_31b227847277411bb65cf46dd15daffb.setContent(html_1f435c08c8954b0ebb481c0f5903fc6e);
            

            circle_marker_501fa28df3a14c6292d3b99da8afc343.bindPopup(popup_31b227847277411bb65cf46dd15daffb);

            
        
    
            var circle_marker_5e22a667a4c2414392ee2cc00e7d1fb6 = L.circleMarker(
                [43.7563033,-79.56596329999999],
                {
  "bubblingMouseEvents": true,
  "color": "blue",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#3186cc",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_26e1a5cbd25e485db0bc91f93d50bd24);
            
    
            var popup_917319c4597549328529f1d1665b398e = L.popup({maxWidth: '300'});

            
                var html_7128b011ed514eb493f9e3ad7ef6f173 = $('<div id="html_7128b011ed514eb493f9e3ad7ef6f173" style="width: 100.0%; height: 100.0%;">Humber Summit,North York</div>')[0];
                popup_917319c4597549328529f1d1665b398e.setContent(html_7128b011ed514eb493f9e3ad7ef6f173);
            

            circle_marker_5e22a667a4c2414392ee2cc00e7d1fb6.bindPopup(popup_917319c4597549328529f1d1665b398e);

            
        
    
            var circle_marker_55ca124868d043f7b4c4ccac107117bf = L.circleMarker(
                [43.7247659,-79.53224240000002],
                {
  "bubblingMouseEvents": true,
  "color": "blue",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#3186cc",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_26e1a5cbd25e485db0bc91f93d50bd24);
            
    
            var popup_4703b665905540c584f88b052b5c78e9 = L.popup({maxWidth: '300'});

            
                var html_d23d29d16db748ce86a7f3a2e425b892 = $('<div id="html_d23d29d16db748ce86a7f3a2e425b892" style="width: 100.0%; height: 100.0%;">Emery,Humberlea,North York</div>')[0];
                popup_4703b665905540c584f88b052b5c78e9.setContent(html_d23d29d16db748ce86a7f3a2e425b892);
            

            circle_marker_55ca124868d043f7b4c4ccac107117bf.bindPopup(popup_4703b665905540c584f88b052b5c78e9);

            
        
    
            var circle_marker_93edd507438b419bb3b41b4c00187084 = L.circleMarker(
                [43.706876,-79.51818840000001],
                {
  "bubblingMouseEvents": true,
  "color": "blue",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#3186cc",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_26e1a5cbd25e485db0bc91f93d50bd24);
            
    
            var popup_eccf176274f348bf9e513aeac1344e1f = L.popup({maxWidth: '300'});

            
                var html_4758552cae654a6590424cf41837680d = $('<div id="html_4758552cae654a6590424cf41837680d" style="width: 100.0%; height: 100.0%;">Weston,York</div>')[0];
                popup_eccf176274f348bf9e513aeac1344e1f.setContent(html_4758552cae654a6590424cf41837680d);
            

            circle_marker_93edd507438b419bb3b41b4c00187084.bindPopup(popup_eccf176274f348bf9e513aeac1344e1f);

            
        
    
            var circle_marker_7aee8bed8ec64f39bcb07c67ba8e116a = L.circleMarker(
                [43.696319,-79.53224240000002],
                {
  "bubblingMouseEvents": true,
  "color": "blue",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#3186cc",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_26e1a5cbd25e485db0bc91f93d50bd24);
            
    
            var popup_a00d46712b1341ca88617c34ec24bf2f = L.popup({maxWidth: '300'});

            
                var html_54f4a9ff2b444bfca85d37cb4f504a8b = $('<div id="html_54f4a9ff2b444bfca85d37cb4f504a8b" style="width: 100.0%; height: 100.0%;">Westmount,Etobicoke</div>')[0];
                popup_a00d46712b1341ca88617c34ec24bf2f.setContent(html_54f4a9ff2b444bfca85d37cb4f504a8b);
            

            circle_marker_7aee8bed8ec64f39bcb07c67ba8e116a.bindPopup(popup_a00d46712b1341ca88617c34ec24bf2f);

            
        
    
            var circle_marker_e1400e94765a443c82c30eb5ca9bbc15 = L.circleMarker(
                [43.6889054,-79.55472440000001],
                {
  "bubblingMouseEvents": true,
  "color": "blue",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#3186cc",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_26e1a5cbd25e485db0bc91f93d50bd24);
            
    
            var popup_243746b57c8f4598aa7015caa06489c6 = L.popup({maxWidth: '300'});

            
                var html_3431580b1d6c4a02bbbcef7221844848 = $('<div id="html_3431580b1d6c4a02bbbcef7221844848" style="width: 100.0%; height: 100.0%;">Kingsview Village,Martin Grove Gardens,Richview Gardens,St. Phillips,Etobicoke</div>')[0];
                popup_243746b57c8f4598aa7015caa06489c6.setContent(html_3431580b1d6c4a02bbbcef7221844848);
            

            circle_marker_e1400e94765a443c82c30eb5ca9bbc15.bindPopup(popup_243746b57c8f4598aa7015caa06489c6);

            
        
    
            var circle_marker_e3639fbdffd94479ade31e2e4be058e1 = L.circleMarker(
                [43.739416399999996,-79.5884369],
                {
  "bubblingMouseEvents": true,
  "color": "blue",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#3186cc",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_26e1a5cbd25e485db0bc91f93d50bd24);
            
    
            var popup_a6704b2a9d434eacbf8daefe95a7af23 = L.popup({maxWidth: '300'});

            
                var html_1f63a3fe4e7945f1ba80946dccd6d499 = $('<div id="html_1f63a3fe4e7945f1ba80946dccd6d499" style="width: 100.0%; height: 100.0%;">Albion Gardens,Beaumond Heights,Humbergate,Jamestown,Mount Olive,Silverstone,South Steeles,Thistletown,Etobicoke</div>')[0];
                popup_a6704b2a9d434eacbf8daefe95a7af23.setContent(html_1f63a3fe4e7945f1ba80946dccd6d499);
            

            circle_marker_e3639fbdffd94479ade31e2e4be058e1.bindPopup(popup_a6704b2a9d434eacbf8daefe95a7af23);

            
        
    
            var circle_marker_a5ea994f03e9480c8fc78395bdfd4e79 = L.circleMarker(
                [43.706748299999994,-79.5940544],
                {
  "bubblingMouseEvents": true,
  "color": "blue",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#3186cc",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_26e1a5cbd25e485db0bc91f93d50bd24);
            
    
            var popup_a736b4045c3844eeaac3060fddb1b617 = L.popup({maxWidth: '300'});

            
                var html_3eec9b5b9d15440d9d9adc946ebeb125 = $('<div id="html_3eec9b5b9d15440d9d9adc946ebeb125" style="width: 100.0%; height: 100.0%;">Northwest,Etobicoke</div>')[0];
                popup_a736b4045c3844eeaac3060fddb1b617.setContent(html_3eec9b5b9d15440d9d9adc946ebeb125);
            

            circle_marker_a5ea994f03e9480c8fc78395bdfd4e79.bindPopup(popup_a736b4045c3844eeaac3060fddb1b617);

            
        
</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 0x7fb654bebb70>"
                    }, 
                    "output_type": "execute_result"
                }
            ], 
            "source": "latitude = 43.651070\nlongitude = -79.347015\n\nmap_toronto = folium.Map(location=[latitude, longitude], zoom_start=10)\n\nfor lat, lng, borough, neighbourhood in zip(merged_df['Latitude'], merged_df['Longitude'], merged_df['Borough'], merged_df['Neighbourhood']):\n    label = '{},{}'.format(neighbourhood,borough)\n    label = folium.Popup(label,parse_html=True)\n    folium.CircleMarker(\n        [lat, lng],\n        radius=5,\n        popup=label,\n        color='blue',\n        fill=True,\n        fill_color='#3186cc',\n        fill_opacity=0.7,\n        parse_html=False).add_to(map_toronto)\n\nmap_toronto"
        }, 
        {
            "source": "5b. Segment and cluster only neighbourhoods in North York", 
            "cell_type": "markdown", 
            "metadata": {}
        }, 
        {
            "execution_count": 80, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [
                {
                    "execution_count": 80, 
                    "metadata": {}, 
                    "data": {
                        "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Postcode</th>\n      <th>Borough</th>\n      <th>Neighbourhood</th>\n      <th>Latitude</th>\n      <th>Longitude</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>M2H</td>\n      <td>North York</td>\n      <td>Hillcrest Village</td>\n      <td>43.803762</td>\n      <td>-79.363452</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>M2J</td>\n      <td>North York</td>\n      <td>Fairview,Henry Farm,Oriole</td>\n      <td>43.778517</td>\n      <td>-79.346556</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>M2K</td>\n      <td>North York</td>\n      <td>Bayview Village</td>\n      <td>43.786947</td>\n      <td>-79.385975</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>M2L</td>\n      <td>North York</td>\n      <td>Silver Hills,York Mills</td>\n      <td>43.757490</td>\n      <td>-79.374714</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>M2M</td>\n      <td>North York</td>\n      <td>Newtonbrook,Willowdale</td>\n      <td>43.789053</td>\n      <td>-79.408493</td>\n    </tr>\n  </tbody>\n</table>\n</div>", 
                        "text/plain": "  Postcode     Borough               Neighbourhood   Latitude  Longitude\n0      M2H  North York           Hillcrest Village  43.803762 -79.363452\n1      M2J  North York  Fairview,Henry Farm,Oriole  43.778517 -79.346556\n2      M2K  North York             Bayview Village  43.786947 -79.385975\n3      M2L  North York     Silver Hills,York Mills  43.757490 -79.374714\n4      M2M  North York      Newtonbrook,Willowdale  43.789053 -79.408493"
                    }, 
                    "output_type": "execute_result"
                }
            ], 
            "source": "NorthYork_data = merged_df[merged_df['Borough'] == 'North York'].reset_index(drop=True)\nNorthYork_data.head()"
        }, 
        {
            "source": "5b-1: Visualise North York", 
            "cell_type": "markdown", 
            "metadata": {}
        }, 
        {
            "execution_count": 81, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [
                {
                    "execution_count": 81, 
                    "metadata": {}, 
                    "data": {
                        "text/html": "<div style=\"width:100%;\"><div style=\"position:relative;width:100%;height:0;padding-bottom:60%;\"><iframe src=\"data:text/html;charset=utf-8;base64,<!DOCTYPE html>
<head>    
    <meta http-equiv="content-type" content="text/html; charset=UTF-8" />
    <script>L_PREFER_CANVAS = false; L_NO_TOUCH = false; L_DISABLE_3D = false;</script>
    <script src="https://cdn.jsdelivr.net/npm/leaflet@1.2.0/dist/leaflet.js"></script>
    <script src="https://ajax.googleapis.com/ajax/libs/jquery/1.11.1/jquery.min.js"></script>
    <script src="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/js/bootstrap.min.js"></script>
    <script src="https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.js"></script>
    <link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/leaflet@1.2.0/dist/leaflet.css"/>
    <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap.min.css"/>
    <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap-theme.min.css"/>
    <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/font-awesome/4.6.3/css/font-awesome.min.css"/>
    <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.css"/>
    <link rel="stylesheet" href="https://rawgit.com/python-visualization/folium/master/folium/templates/leaflet.awesome.rotate.css"/>
    <style>html, body {width: 100%;height: 100%;margin: 0;padding: 0;}</style>
    <style>#map {position:absolute;top:0;bottom:0;right:0;left:0;}</style>
    
            <style> #map_61ba7a8b75b9428d85f918a8e41f0dc5 {
                position : relative;
                width : 100.0%;
                height: 100.0%;
                left: 0.0%;
                top: 0.0%;
                }
            </style>
        
</head>
<body>    
    
            <div class="folium-map" id="map_61ba7a8b75b9428d85f918a8e41f0dc5" ></div>
        
</body>
<script>    
    

            
                var bounds = null;
            

            var map_61ba7a8b75b9428d85f918a8e41f0dc5 = L.map(
                                  'map_61ba7a8b75b9428d85f918a8e41f0dc5',
                                  {center: [43.761539,-79.411079],
                                  zoom: 11,
                                  maxBounds: bounds,
                                  layers: [],
                                  worldCopyJump: false,
                                  crs: L.CRS.EPSG3857
                                 });
            
        
    
            var tile_layer_d259b97280654e9c961b36d63453e62f = L.tileLayer(
                'https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png',
                {
  "attribution": null,
  "detectRetina": false,
  "maxZoom": 18,
  "minZoom": 1,
  "noWrap": false,
  "subdomains": "abc"
}
                ).addTo(map_61ba7a8b75b9428d85f918a8e41f0dc5);
        
    
            var circle_marker_10e49192ccbb4353bc4aa10d80153d3c = L.circleMarker(
                [43.8037622,-79.3634517],
                {
  "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_61ba7a8b75b9428d85f918a8e41f0dc5);
            
    
            var popup_f8decaed22a64fd58a148bf8d4e4a9bf = L.popup({maxWidth: '300'});

            
                var html_2f33df75f2b64576980099182837cbae = $('<div id="html_2f33df75f2b64576980099182837cbae" style="width: 100.0%; height: 100.0%;">Hillcrest Village</div>')[0];
                popup_f8decaed22a64fd58a148bf8d4e4a9bf.setContent(html_2f33df75f2b64576980099182837cbae);
            

            circle_marker_10e49192ccbb4353bc4aa10d80153d3c.bindPopup(popup_f8decaed22a64fd58a148bf8d4e4a9bf);

            
        
    
            var circle_marker_f4a37e4aa5744d449ae8b167ddfad368 = L.circleMarker(
                [43.7785175,-79.3465557],
                {
  "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_61ba7a8b75b9428d85f918a8e41f0dc5);
            
    
            var popup_fff0a826da9449a79eff0dc771231f59 = L.popup({maxWidth: '300'});

            
                var html_26db538b95064d7893da71250feda029 = $('<div id="html_26db538b95064d7893da71250feda029" style="width: 100.0%; height: 100.0%;">Fairview,Henry Farm,Oriole</div>')[0];
                popup_fff0a826da9449a79eff0dc771231f59.setContent(html_26db538b95064d7893da71250feda029);
            

            circle_marker_f4a37e4aa5744d449ae8b167ddfad368.bindPopup(popup_fff0a826da9449a79eff0dc771231f59);

            
        
    
            var circle_marker_6cc8fe39a1334baaa781e15c3fb2de65 = L.circleMarker(
                [43.7869473,-79.385975],
                {
  "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_61ba7a8b75b9428d85f918a8e41f0dc5);
            
    
            var popup_8778000a65e34779b58e776b0ace3a45 = L.popup({maxWidth: '300'});

            
                var html_2e515d118cff49f680b8006fa4f79777 = $('<div id="html_2e515d118cff49f680b8006fa4f79777" style="width: 100.0%; height: 100.0%;">Bayview Village</div>')[0];
                popup_8778000a65e34779b58e776b0ace3a45.setContent(html_2e515d118cff49f680b8006fa4f79777);
            

            circle_marker_6cc8fe39a1334baaa781e15c3fb2de65.bindPopup(popup_8778000a65e34779b58e776b0ace3a45);

            
        
    
            var circle_marker_f0a4f63e3c7246e8908adf77dbebde17 = L.circleMarker(
                [43.7574902,-79.37471409999999],
                {
  "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_61ba7a8b75b9428d85f918a8e41f0dc5);
            
    
            var popup_7002690e8db14e58b2af7275e8644554 = L.popup({maxWidth: '300'});

            
                var html_ee84e583bcb348718b1bb7cdb4633747 = $('<div id="html_ee84e583bcb348718b1bb7cdb4633747" style="width: 100.0%; height: 100.0%;">Silver Hills,York Mills</div>')[0];
                popup_7002690e8db14e58b2af7275e8644554.setContent(html_ee84e583bcb348718b1bb7cdb4633747);
            

            circle_marker_f0a4f63e3c7246e8908adf77dbebde17.bindPopup(popup_7002690e8db14e58b2af7275e8644554);

            
        
    
            var circle_marker_7c189428cc754a2bb2a4e3d18d767849 = L.circleMarker(
                [43.789053,-79.40849279999999],
                {
  "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_61ba7a8b75b9428d85f918a8e41f0dc5);
            
    
            var popup_d14032ce05714aaeb638ca7cffce5f3a = L.popup({maxWidth: '300'});

            
                var html_64fae19220e7445dbe2816166dd82547 = $('<div id="html_64fae19220e7445dbe2816166dd82547" style="width: 100.0%; height: 100.0%;">Newtonbrook,Willowdale</div>')[0];
                popup_d14032ce05714aaeb638ca7cffce5f3a.setContent(html_64fae19220e7445dbe2816166dd82547);
            

            circle_marker_7c189428cc754a2bb2a4e3d18d767849.bindPopup(popup_d14032ce05714aaeb638ca7cffce5f3a);

            
        
    
            var circle_marker_457ae957d7f4418c91fdc328e8725fc6 = L.circleMarker(
                [43.7701199,-79.40849279999999],
                {
  "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_61ba7a8b75b9428d85f918a8e41f0dc5);
            
    
            var popup_89a97bf241a3484d91be1a2d68d97db3 = L.popup({maxWidth: '300'});

            
                var html_462ed3add4a44f6e9afa98deb270ea18 = $('<div id="html_462ed3add4a44f6e9afa98deb270ea18" style="width: 100.0%; height: 100.0%;">Willowdale South</div>')[0];
                popup_89a97bf241a3484d91be1a2d68d97db3.setContent(html_462ed3add4a44f6e9afa98deb270ea18);
            

            circle_marker_457ae957d7f4418c91fdc328e8725fc6.bindPopup(popup_89a97bf241a3484d91be1a2d68d97db3);

            
        
    
            var circle_marker_b75041272d0a42a8af6b03536f1b6442 = L.circleMarker(
                [43.752758299999996,-79.4000493],
                {
  "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_61ba7a8b75b9428d85f918a8e41f0dc5);
            
    
            var popup_a9a484dd61eb42a2bbb06b848f7418cf = L.popup({maxWidth: '300'});

            
                var html_0305651683fe4374b87e2d28100aacc9 = $('<div id="html_0305651683fe4374b87e2d28100aacc9" style="width: 100.0%; height: 100.0%;">York Mills West</div>')[0];
                popup_a9a484dd61eb42a2bbb06b848f7418cf.setContent(html_0305651683fe4374b87e2d28100aacc9);
            

            circle_marker_b75041272d0a42a8af6b03536f1b6442.bindPopup(popup_a9a484dd61eb42a2bbb06b848f7418cf);

            
        
    
            var circle_marker_5e4ccd49689c43959266bc9b293fe6d5 = L.circleMarker(
                [43.7827364,-79.4422593],
                {
  "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_61ba7a8b75b9428d85f918a8e41f0dc5);
            
    
            var popup_ea7e38c95dff4e8f9f3180a5630c0c6b = L.popup({maxWidth: '300'});

            
                var html_02bbee5fc60845af8bf5c3dad2a59fcb = $('<div id="html_02bbee5fc60845af8bf5c3dad2a59fcb" style="width: 100.0%; height: 100.0%;">Willowdale West</div>')[0];
                popup_ea7e38c95dff4e8f9f3180a5630c0c6b.setContent(html_02bbee5fc60845af8bf5c3dad2a59fcb);
            

            circle_marker_5e4ccd49689c43959266bc9b293fe6d5.bindPopup(popup_ea7e38c95dff4e8f9f3180a5630c0c6b);

            
        
    
            var circle_marker_5901e92ac7f54fb185e38d1da4c27a22 = L.circleMarker(
                [43.7532586,-79.3296565],
                {
  "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_61ba7a8b75b9428d85f918a8e41f0dc5);
            
    
            var popup_e3730b482a82431d9ba188e65a092528 = L.popup({maxWidth: '300'});

            
                var html_db86942079494746b0e046adc7a4fe65 = $('<div id="html_db86942079494746b0e046adc7a4fe65" style="width: 100.0%; height: 100.0%;">Parkwoods</div>')[0];
                popup_e3730b482a82431d9ba188e65a092528.setContent(html_db86942079494746b0e046adc7a4fe65);
            

            circle_marker_5901e92ac7f54fb185e38d1da4c27a22.bindPopup(popup_e3730b482a82431d9ba188e65a092528);

            
        
    
            var circle_marker_b6778788be5940338f2e66dd41fc8c23 = L.circleMarker(
                [43.745905799999996,-79.352188],
                {
  "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_61ba7a8b75b9428d85f918a8e41f0dc5);
            
    
            var popup_27e9a5d552b846efadcfc6fe9fd2be19 = L.popup({maxWidth: '300'});

            
                var html_d3bb7217e699479bbac6aa282c500408 = $('<div id="html_d3bb7217e699479bbac6aa282c500408" style="width: 100.0%; height: 100.0%;">Don Mills North</div>')[0];
                popup_27e9a5d552b846efadcfc6fe9fd2be19.setContent(html_d3bb7217e699479bbac6aa282c500408);
            

            circle_marker_b6778788be5940338f2e66dd41fc8c23.bindPopup(popup_27e9a5d552b846efadcfc6fe9fd2be19);

            
        
    
            var circle_marker_f97a437b7da8495a84116b8ba4880348 = L.circleMarker(
                [43.72589970000001,-79.340923],
                {
  "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_61ba7a8b75b9428d85f918a8e41f0dc5);
            
    
            var popup_3ff22afb16e54742bb6956a8a40c4c88 = L.popup({maxWidth: '300'});

            
                var html_4e6950f5949648edabbdee25441ead4d = $('<div id="html_4e6950f5949648edabbdee25441ead4d" style="width: 100.0%; height: 100.0%;">Flemingdon Park,Don Mills South</div>')[0];
                popup_3ff22afb16e54742bb6956a8a40c4c88.setContent(html_4e6950f5949648edabbdee25441ead4d);
            

            circle_marker_f97a437b7da8495a84116b8ba4880348.bindPopup(popup_3ff22afb16e54742bb6956a8a40c4c88);

            
        
    
            var circle_marker_40e7068eb7fd456c9ac2cbf0696b2e5c = L.circleMarker(
                [43.7543283,-79.4422593],
                {
  "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_61ba7a8b75b9428d85f918a8e41f0dc5);
            
    
            var popup_d9cdcfc6c203487185217b28c6b16637 = L.popup({maxWidth: '300'});

            
                var html_48b588c794bd407fb430cc5c9417c90f = $('<div id="html_48b588c794bd407fb430cc5c9417c90f" style="width: 100.0%; height: 100.0%;">Bathurst Manor,Downsview North,Wilson Heights</div>')[0];
                popup_d9cdcfc6c203487185217b28c6b16637.setContent(html_48b588c794bd407fb430cc5c9417c90f);
            

            circle_marker_40e7068eb7fd456c9ac2cbf0696b2e5c.bindPopup(popup_d9cdcfc6c203487185217b28c6b16637);

            
        
    
            var circle_marker_f3201c1760e842cf9f7a8c32c7322c1b = L.circleMarker(
                [43.7679803,-79.48726190000001],
                {
  "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_61ba7a8b75b9428d85f918a8e41f0dc5);
            
    
            var popup_c389f536743644248031a2f472869a4e = L.popup({maxWidth: '300'});

            
                var html_fb71d21cdd7a4420b18b9fdef774b983 = $('<div id="html_fb71d21cdd7a4420b18b9fdef774b983" style="width: 100.0%; height: 100.0%;">Northwood Park,York University</div>')[0];
                popup_c389f536743644248031a2f472869a4e.setContent(html_fb71d21cdd7a4420b18b9fdef774b983);
            

            circle_marker_f3201c1760e842cf9f7a8c32c7322c1b.bindPopup(popup_c389f536743644248031a2f472869a4e);

            
        
    
            var circle_marker_4722bc82f7ca4664b15d8308b782e121 = L.circleMarker(
                [43.737473200000004,-79.46476329999999],
                {
  "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_61ba7a8b75b9428d85f918a8e41f0dc5);
            
    
            var popup_4a62c38664e14dc3b0be6ed0360b0ee4 = L.popup({maxWidth: '300'});

            
                var html_1f195e6e2b38404d91e3b27f091d1a20 = $('<div id="html_1f195e6e2b38404d91e3b27f091d1a20" style="width: 100.0%; height: 100.0%;">CFB Toronto,Downsview East</div>')[0];
                popup_4a62c38664e14dc3b0be6ed0360b0ee4.setContent(html_1f195e6e2b38404d91e3b27f091d1a20);
            

            circle_marker_4722bc82f7ca4664b15d8308b782e121.bindPopup(popup_4a62c38664e14dc3b0be6ed0360b0ee4);

            
        
    
            var circle_marker_67e0850e2d604caaa0c6da787c64fb5b = L.circleMarker(
                [43.7390146,-79.5069436],
                {
  "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_61ba7a8b75b9428d85f918a8e41f0dc5);
            
    
            var popup_c84928eb4f02430fb88f3caa36403d30 = L.popup({maxWidth: '300'});

            
                var html_0b8acaf1f0834a6db4b1700d41a157fe = $('<div id="html_0b8acaf1f0834a6db4b1700d41a157fe" style="width: 100.0%; height: 100.0%;">Downsview West</div>')[0];
                popup_c84928eb4f02430fb88f3caa36403d30.setContent(html_0b8acaf1f0834a6db4b1700d41a157fe);
            

            circle_marker_67e0850e2d604caaa0c6da787c64fb5b.bindPopup(popup_c84928eb4f02430fb88f3caa36403d30);

            
        
    
            var circle_marker_2592d0bef91b431baf0c03febac6f892 = L.circleMarker(
                [43.7284964,-79.49569740000001],
                {
  "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_61ba7a8b75b9428d85f918a8e41f0dc5);
            
    
            var popup_b20325e1f0a44287ab3b0fe7a1a58aa7 = L.popup({maxWidth: '300'});

            
                var html_2d1d1e4b3bf74782b8f193fe4afaf27b = $('<div id="html_2d1d1e4b3bf74782b8f193fe4afaf27b" style="width: 100.0%; height: 100.0%;">Downsview Central</div>')[0];
                popup_b20325e1f0a44287ab3b0fe7a1a58aa7.setContent(html_2d1d1e4b3bf74782b8f193fe4afaf27b);
            

            circle_marker_2592d0bef91b431baf0c03febac6f892.bindPopup(popup_b20325e1f0a44287ab3b0fe7a1a58aa7);

            
        
    
            var circle_marker_6260bb3ddb294f20b44a1a6263725fc1 = L.circleMarker(
                [43.7616313,-79.52099940000001],
                {
  "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_61ba7a8b75b9428d85f918a8e41f0dc5);
            
    
            var popup_edb0ca90265a4e9b91cf37d2f0466071 = L.popup({maxWidth: '300'});

            
                var html_2cf0d0ef58db43258e30394476ea717a = $('<div id="html_2cf0d0ef58db43258e30394476ea717a" style="width: 100.0%; height: 100.0%;">Downsview Northwest</div>')[0];
                popup_edb0ca90265a4e9b91cf37d2f0466071.setContent(html_2cf0d0ef58db43258e30394476ea717a);
            

            circle_marker_6260bb3ddb294f20b44a1a6263725fc1.bindPopup(popup_edb0ca90265a4e9b91cf37d2f0466071);

            
        
    
            var circle_marker_adb341300b9d494eb6b21285d7f86c31 = L.circleMarker(
                [43.725882299999995,-79.31557159999998],
                {
  "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_61ba7a8b75b9428d85f918a8e41f0dc5);
            
    
            var popup_c1dea241fcc34929a56abed2029a93c6 = L.popup({maxWidth: '300'});

            
                var html_979610b8e1a6442a82d3eeb209b7b40e = $('<div id="html_979610b8e1a6442a82d3eeb209b7b40e" style="width: 100.0%; height: 100.0%;">Victoria Village</div>')[0];
                popup_c1dea241fcc34929a56abed2029a93c6.setContent(html_979610b8e1a6442a82d3eeb209b7b40e);
            

            circle_marker_adb341300b9d494eb6b21285d7f86c31.bindPopup(popup_c1dea241fcc34929a56abed2029a93c6);

            
        
    
            var circle_marker_11e017d6b48846fea624ae04758bffae = L.circleMarker(
                [43.7332825,-79.4197497],
                {
  "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_61ba7a8b75b9428d85f918a8e41f0dc5);
            
    
            var popup_8b8db25387bf43e1bc701f2024a57c9a = L.popup({maxWidth: '300'});

            
                var html_dbcf37c11c224875b3911584726b5d05 = $('<div id="html_dbcf37c11c224875b3911584726b5d05" style="width: 100.0%; height: 100.0%;">Bedford Park,Lawrence Manor East</div>')[0];
                popup_8b8db25387bf43e1bc701f2024a57c9a.setContent(html_dbcf37c11c224875b3911584726b5d05);
            

            circle_marker_11e017d6b48846fea624ae04758bffae.bindPopup(popup_8b8db25387bf43e1bc701f2024a57c9a);

            
        
    
            var circle_marker_e0097fb1b40c472f91c244fee565b285 = L.circleMarker(
                [43.718517999999996,-79.46476329999999],
                {
  "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_61ba7a8b75b9428d85f918a8e41f0dc5);
            
    
            var popup_52e6fa32ca8c44359ea09f4937822601 = L.popup({maxWidth: '300'});

            
                var html_d46c13fe347049cabfc466a5a4b29cc3 = $('<div id="html_d46c13fe347049cabfc466a5a4b29cc3" style="width: 100.0%; height: 100.0%;">Lawrence Heights,Lawrence Manor</div>')[0];
                popup_52e6fa32ca8c44359ea09f4937822601.setContent(html_d46c13fe347049cabfc466a5a4b29cc3);
            

            circle_marker_e0097fb1b40c472f91c244fee565b285.bindPopup(popup_52e6fa32ca8c44359ea09f4937822601);

            
        
    
            var circle_marker_a8d2767807144288864491015e6bd9d1 = L.circleMarker(
                [43.709577,-79.44507259999999],
                {
  "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_61ba7a8b75b9428d85f918a8e41f0dc5);
            
    
            var popup_a8290e4ee9504dd3be3f283e6b56b63a = L.popup({maxWidth: '300'});

            
                var html_288e8fdb1ca24557bf959c83d88d5f2b = $('<div id="html_288e8fdb1ca24557bf959c83d88d5f2b" style="width: 100.0%; height: 100.0%;">Glencairn</div>')[0];
                popup_a8290e4ee9504dd3be3f283e6b56b63a.setContent(html_288e8fdb1ca24557bf959c83d88d5f2b);
            

            circle_marker_a8d2767807144288864491015e6bd9d1.bindPopup(popup_a8290e4ee9504dd3be3f283e6b56b63a);

            
        
    
            var circle_marker_45120c438b1e4f27a70774386cbe28d7 = L.circleMarker(
                [43.713756200000006,-79.4900738],
                {
  "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_61ba7a8b75b9428d85f918a8e41f0dc5);
            
    
            var popup_de906f6fe1bf4f3088390418556c5fdd = L.popup({maxWidth: '300'});

            
                var html_1ff20f1028b8476dbc648e03673566e0 = $('<div id="html_1ff20f1028b8476dbc648e03673566e0" style="width: 100.0%; height: 100.0%;">Downsview,North Park,Upwood Park</div>')[0];
                popup_de906f6fe1bf4f3088390418556c5fdd.setContent(html_1ff20f1028b8476dbc648e03673566e0);
            

            circle_marker_45120c438b1e4f27a70774386cbe28d7.bindPopup(popup_de906f6fe1bf4f3088390418556c5fdd);

            
        
    
            var circle_marker_6e1d8c16b9464f9383175943e014164d = L.circleMarker(
                [43.7563033,-79.56596329999999],
                {
  "bubblingMouseEvents": true,
  "color": "blue",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#3186cc",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_61ba7a8b75b9428d85f918a8e41f0dc5);
            
    
            var popup_f2acf1d98f794aa5b939efed3c480040 = L.popup({maxWidth: '300'});

            
                var html_8077795530c0467d80797b47f199f58b = $('<div id="html_8077795530c0467d80797b47f199f58b" style="width: 100.0%; height: 100.0%;">Humber Summit</div>')[0];
                popup_f2acf1d98f794aa5b939efed3c480040.setContent(html_8077795530c0467d80797b47f199f58b);
            

            circle_marker_6e1d8c16b9464f9383175943e014164d.bindPopup(popup_f2acf1d98f794aa5b939efed3c480040);

            
        
    
            var circle_marker_9fceaff851b742509d19ad340ae8e752 = L.circleMarker(
                [43.7247659,-79.53224240000002],
                {
  "bubblingMouseEvents": true,
  "color": "blue",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#3186cc",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_61ba7a8b75b9428d85f918a8e41f0dc5);
            
    
            var popup_c8f53049f97947a7b94a29bb95d2a43e = L.popup({maxWidth: '300'});

            
                var html_987d8fbe98904669a5698a392db92138 = $('<div id="html_987d8fbe98904669a5698a392db92138" style="width: 100.0%; height: 100.0%;">Emery,Humberlea</div>')[0];
                popup_c8f53049f97947a7b94a29bb95d2a43e.setContent(html_987d8fbe98904669a5698a392db92138);
            

            circle_marker_9fceaff851b742509d19ad340ae8e752.bindPopup(popup_c8f53049f97947a7b94a29bb95d2a43e);

            
        
</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 0x7fb654beb160>"
                    }, 
                    "output_type": "execute_result"
                }
            ], 
            "source": "latitude = 43.761539\nlongitude = -79.411079\n\nmap_NorthYork = folium.Map(location=[latitude, longitude], zoom_start=11)\n\nfor lat, lng, label in zip(NorthYork_data['Latitude'], NorthYork_data['Longitude'], NorthYork_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_NorthYork)  \n    \nmap_NorthYork"
        }, 
        {
            "source": "5b-2: define Foursquare and explore first neighbourhood in dataframe", 
            "cell_type": "markdown", 
            "metadata": {}
        }, 
        {
            "execution_count": 82, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [
                {
                    "execution_count": 82, 
                    "metadata": {}, 
                    "data": {
                        "text/plain": "'Hillcrest Village'"
                    }, 
                    "output_type": "execute_result"
                }
            ], 
            "source": "CLIENT_ID = 'ERP4VLV1V2S50EPBVX0WP1PSBSKGF3AHZBIXU5CGOYS3LMEZ' # your Foursquare ID\nCLIENT_SECRET = 'Z5NGERSC4UNC1ZZUB0SDGUY11OZ1GQ1M3AMJQCQ02RQIB4S4' # your Foursquare Secret\nVERSION = '20180605' # Foursquare API version\n\nNorthYork_data.loc[0, 'Neighbourhood']"
        }, 
        {
            "execution_count": 85, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [
                {
                    "output_type": "stream", 
                    "name": "stdout", 
                    "text": "Latitude and longitude values of Hillcrest Village are 43.8037622,-79.3634517\n"
                }
            ], 
            "source": "neighbourhood_latitude = NorthYork_data.loc[0, 'Latitude']\nneighbourhood_longitude = NorthYork_data.loc[0, 'Longitude']\nneighbourhood_name = NorthYork_data.loc[0, 'Neighbourhood']\n\nprint('Latitude and longitude values of {} are {},{}'.format(neighbourhood_name, neighbourhood_latitude, neighbourhood_longitude))"
        }, 
        {
            "source": "5b-3: Get top 100 venues in Hillcrest Village within radius of 500 meters", 
            "cell_type": "markdown", 
            "metadata": {}
        }, 
        {
            "execution_count": 88, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [
                {
                    "execution_count": 88, 
                    "metadata": {}, 
                    "data": {
                        "text/plain": "'https://api.foursquare.com/v2/venues/explore?&client_id=ERP4VLV1V2S50EPBVX0WP1PSBSKGF3AHZBIXU5CGOYS3LMEZ&client_secret=Z5NGERSC4UNC1ZZUB0SDGUY11OZ1GQ1M3AMJQCQ02RQIB4S4&v=20180605&ll=43.8037622,-79.3634517&radius=500&limit=100'"
                    }, 
                    "output_type": "execute_result"
                }
            ], 
            "source": "LIMIT = 100\nradius = 500\nurl = '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    neighbourhood_latitude, \n    neighbourhood_longitude, \n    radius, \n    LIMIT)\nurl"
        }, 
        {
            "execution_count": 89, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [], 
            "source": "import requests # library to handle requests\nfrom pandas.io.json import json_normalize"
        }, 
        {
            "execution_count": 92, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [], 
            "source": "results = requests.get(url).json()"
        }, 
        {
            "execution_count": 93, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [], 
            "source": "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']"
        }, 
        {
            "execution_count": 94, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [
                {
                    "execution_count": 94, 
                    "metadata": {}, 
                    "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>Eagle's Nest Golf Club</td>\n      <td>Golf Course</td>\n      <td>43.805455</td>\n      <td>-79.364186</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>AY Jackson Pool</td>\n      <td>Pool</td>\n      <td>43.804515</td>\n      <td>-79.366138</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>Villa Madina</td>\n      <td>Mediterranean Restaurant</td>\n      <td>43.801685</td>\n      <td>-79.363938</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>Duncan Creek Park</td>\n      <td>Dog Run</td>\n      <td>43.805539</td>\n      <td>-79.360695</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>A.Y. Jackson Secondary School Track</td>\n      <td>Athletics &amp; Sports</td>\n      <td>43.805068</td>\n      <td>-79.366677</td>\n    </tr>\n  </tbody>\n</table>\n</div>", 
                        "text/plain": "                                  name                categories        lat  \\\n0               Eagle's Nest Golf Club               Golf Course  43.805455   \n1                      AY Jackson Pool                      Pool  43.804515   \n2                         Villa Madina  Mediterranean Restaurant  43.801685   \n3                    Duncan Creek Park                   Dog Run  43.805539   \n4  A.Y. Jackson Secondary School Track        Athletics & Sports  43.805068   \n\n         lng  \n0 -79.364186  \n1 -79.366138  \n2 -79.363938  \n3 -79.360695  \n4 -79.366677  "
                    }, 
                    "output_type": "execute_result"
                }
            ], 
            "source": "venues = results['response']['groups'][0]['items']\n    \nnearby_venues = json_normalize(venues) # flatten JSON\n\n# filter columns\nfiltered_columns = ['venue.name', 'venue.categories', 'venue.location.lat', 'venue.location.lng']\nnearby_venues =nearby_venues.loc[:, filtered_columns]\n\n# filter the category for each row\nnearby_venues['venue.categories'] = nearby_venues.apply(get_category_type, axis=1)\n\n# clean columns\nnearby_venues.columns = [col.split(\".\")[-1] for col in nearby_venues.columns]\n\nnearby_venues.head()"
        }, 
        {
            "execution_count": 95, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [
                {
                    "output_type": "stream", 
                    "name": "stdout", 
                    "text": "5 venues were returned by Foursquare.\n"
                }
            ], 
            "source": "print('{} venues were returned by Foursquare.'.format(nearby_venues.shape[0]))"
        }, 
        {
            "source": "6. Explore neighbourhoods in North York", 
            "cell_type": "markdown", 
            "metadata": {}
        }, 
        {
            "execution_count": 98, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [], 
            "source": "def getNearbyVenues(names, latitudes, longitudes, radius=500):\n    \n    venues_list=[]\n    for name, lat, lng in zip(names, latitudes, longitudes):\n        print(name)\n            \n        # create the API request URL\n        url = 'https://api.foursquare.com/v2/venues/explore?&client_id={}&client_secret={}&v={}&ll={},{}&radius={}&limit={}'.format(\n            CLIENT_ID, \n            CLIENT_SECRET, \n            VERSION, \n            lat, \n            lng, \n            radius, \n            LIMIT)\n            \n        # make the GET request\n        results = requests.get(url).json()[\"response\"]['groups'][0]['items']\n        \n        # return only relevant information for each nearby venue\n        venues_list.append([(\n            name, \n            lat, \n            lng, \n            v['venue']['name'], \n            v['venue']['location']['lat'], \n            v['venue']['location']['lng'],  \n            v['venue']['categories'][0]['name']) for v in results])\n\n    nearby_venues = pd.DataFrame([item for venue_list in venues_list for item in venue_list])\n    nearby_venues.columns = ['Neighborhood', \n                  'Neighborhood Latitude', \n                  'Neighborhood Longitude', \n                  'Venue', \n                  'Venue Latitude', \n                  'Venue Longitude', \n                  'Venue Category']\n    \n    return(nearby_venues)"
        }, 
        {
            "execution_count": 99, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [
                {
                    "output_type": "stream", 
                    "name": "stdout", 
                    "text": "Hillcrest Village\nFairview,Henry Farm,Oriole\nBayview Village\nSilver Hills,York Mills\nNewtonbrook,Willowdale\nWillowdale South\nYork Mills West\nWillowdale West\nParkwoods\nDon Mills North\nFlemingdon Park,Don Mills South\nBathurst Manor,Downsview North,Wilson Heights\nNorthwood Park,York University\nCFB Toronto,Downsview East\nDownsview West\nDownsview Central\nDownsview Northwest\nVictoria Village\nBedford Park,Lawrence Manor East\nLawrence Heights,Lawrence Manor\nGlencairn\nDownsview,North Park,Upwood Park\nHumber Summit\nEmery,Humberlea\n"
                }
            ], 
            "source": "NorthYork_venues = getNearbyVenues(names=NorthYork_data['Neighbourhood'],\n                                   latitudes=NorthYork_data['Latitude'],\n                                   longitudes=NorthYork_data['Longitude'])"
        }, 
        {
            "execution_count": 100, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [
                {
                    "output_type": "stream", 
                    "name": "stdout", 
                    "text": "(245, 7)\n"
                }, 
                {
                    "execution_count": 100, 
                    "metadata": {}, 
                    "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>Hillcrest Village</td>\n      <td>43.803762</td>\n      <td>-79.363452</td>\n      <td>Eagle's Nest Golf Club</td>\n      <td>43.805455</td>\n      <td>-79.364186</td>\n      <td>Golf Course</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Hillcrest Village</td>\n      <td>43.803762</td>\n      <td>-79.363452</td>\n      <td>AY Jackson Pool</td>\n      <td>43.804515</td>\n      <td>-79.366138</td>\n      <td>Pool</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>Hillcrest Village</td>\n      <td>43.803762</td>\n      <td>-79.363452</td>\n      <td>Villa Madina</td>\n      <td>43.801685</td>\n      <td>-79.363938</td>\n      <td>Mediterranean Restaurant</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>Hillcrest Village</td>\n      <td>43.803762</td>\n      <td>-79.363452</td>\n      <td>Duncan Creek Park</td>\n      <td>43.805539</td>\n      <td>-79.360695</td>\n      <td>Dog Run</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>Hillcrest Village</td>\n      <td>43.803762</td>\n      <td>-79.363452</td>\n      <td>A.Y. Jackson Secondary School Track</td>\n      <td>43.805068</td>\n      <td>-79.366677</td>\n      <td>Athletics &amp; Sports</td>\n    </tr>\n  </tbody>\n</table>\n</div>", 
                        "text/plain": "        Neighborhood  Neighborhood Latitude  Neighborhood Longitude  \\\n0  Hillcrest Village              43.803762              -79.363452   \n1  Hillcrest Village              43.803762              -79.363452   \n2  Hillcrest Village              43.803762              -79.363452   \n3  Hillcrest Village              43.803762              -79.363452   \n4  Hillcrest Village              43.803762              -79.363452   \n\n                                 Venue  Venue Latitude  Venue Longitude  \\\n0               Eagle's Nest Golf Club       43.805455       -79.364186   \n1                      AY Jackson Pool       43.804515       -79.366138   \n2                         Villa Madina       43.801685       -79.363938   \n3                    Duncan Creek Park       43.805539       -79.360695   \n4  A.Y. Jackson Secondary School Track       43.805068       -79.366677   \n\n             Venue Category  \n0               Golf Course  \n1                      Pool  \n2  Mediterranean Restaurant  \n3                   Dog Run  \n4        Athletics & Sports  "
                    }, 
                    "output_type": "execute_result"
                }
            ], 
            "source": "print(NorthYork_venues.shape)\nNorthYork_venues.head()\n\n"
        }, 
        {
            "execution_count": 101, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [
                {
                    "execution_count": 101, 
                    "metadata": {}, 
                    "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>Bathurst Manor,Downsview North,Wilson Heights</th>\n      <td>18</td>\n      <td>18</td>\n      <td>18</td>\n      <td>18</td>\n      <td>18</td>\n      <td>18</td>\n    </tr>\n    <tr>\n      <th>Bayview Village</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>Bedford Park,Lawrence Manor East</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>CFB Toronto,Downsview 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>Don Mills North</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>Downsview Central</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>Downsview Northwest</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>Downsview West</th>\n      <td>6</td>\n      <td>6</td>\n      <td>6</td>\n      <td>6</td>\n      <td>6</td>\n      <td>6</td>\n    </tr>\n    <tr>\n      <th>Downsview,North Park,Upwood 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>Emery,Humberlea</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>Fairview,Henry Farm,Oriole</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>Flemingdon Park,Don Mills South</th>\n      <td>23</td>\n      <td>23</td>\n      <td>23</td>\n      <td>23</td>\n      <td>23</td>\n      <td>23</td>\n    </tr>\n    <tr>\n      <th>Glencairn</th>\n      <td>6</td>\n      <td>6</td>\n      <td>6</td>\n      <td>6</td>\n      <td>6</td>\n      <td>6</td>\n    </tr>\n    <tr>\n      <th>Hillcrest Village</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>Humber Summit</th>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>Lawrence Heights,Lawrence Manor</th>\n      <td>12</td>\n      <td>12</td>\n      <td>12</td>\n      <td>12</td>\n      <td>12</td>\n      <td>12</td>\n    </tr>\n    <tr>\n      <th>Northwood Park,York University</th>\n      <td>6</td>\n      <td>6</td>\n      <td>6</td>\n      <td>6</td>\n      <td>6</td>\n      <td>6</td>\n    </tr>\n    <tr>\n      <th>Parkwoods</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>Victoria Village</th>\n      <td>6</td>\n      <td>6</td>\n      <td>6</td>\n      <td>6</td>\n      <td>6</td>\n      <td>6</td>\n    </tr>\n    <tr>\n      <th>Willowdale South</th>\n      <td>36</td>\n      <td>36</td>\n      <td>36</td>\n      <td>36</td>\n      <td>36</td>\n      <td>36</td>\n    </tr>\n    <tr>\n      <th>Willowdale West</th>\n      <td>6</td>\n      <td>6</td>\n      <td>6</td>\n      <td>6</td>\n      <td>6</td>\n      <td>6</td>\n    </tr>\n    <tr>\n      <th>York Mills West</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  </tbody>\n</table>\n</div>", 
                        "text/plain": "                                               Neighborhood Latitude  \\\nNeighborhood                                                           \nBathurst Manor,Downsview North,Wilson Heights                     18   \nBayview Village                                                    4   \nBedford Park,Lawrence Manor East                                  24   \nCFB Toronto,Downsview East                                         3   \nDon Mills North                                                    5   \nDownsview Central                                                  4   \nDownsview Northwest                                                4   \nDownsview West                                                     6   \nDownsview,North Park,Upwood Park                                   4   \nEmery,Humberlea                                                    2   \nFairview,Henry Farm,Oriole                                        65   \nFlemingdon Park,Don Mills South                                   23   \nGlencairn                                                          6   \nHillcrest Village                                                  5   \nHumber Summit                                                      1   \nLawrence Heights,Lawrence Manor                                   12   \nNorthwood Park,York University                                     6   \nParkwoods                                                          2   \nVictoria Village                                                   6   \nWillowdale South                                                  36   \nWillowdale West                                                    6   \nYork Mills West                                                    3   \n\n                                               Neighborhood Longitude  Venue  \\\nNeighborhood                                                                   \nBathurst Manor,Downsview North,Wilson Heights                      18     18   \nBayview Village                                                     4      4   \nBedford Park,Lawrence Manor East                                   24     24   \nCFB Toronto,Downsview East                                          3      3   \nDon Mills North                                                     5      5   \nDownsview Central                                                   4      4   \nDownsview Northwest                                                 4      4   \nDownsview West                                                      6      6   \nDownsview,North Park,Upwood Park                                    4      4   \nEmery,Humberlea                                                     2      2   \nFairview,Henry Farm,Oriole                                         65     65   \nFlemingdon Park,Don Mills South                                    23     23   \nGlencairn                                                           6      6   \nHillcrest Village                                                   5      5   \nHumber Summit                                                       1      1   \nLawrence Heights,Lawrence Manor                                    12     12   \nNorthwood Park,York University                                      6      6   \nParkwoods                                                           2      2   \nVictoria Village                                                    6      6   \nWillowdale South                                                   36     36   \nWillowdale West                                                     6      6   \nYork Mills West                                                     3      3   \n\n                                               Venue Latitude  \\\nNeighborhood                                                    \nBathurst Manor,Downsview North,Wilson Heights              18   \nBayview Village                                             4   \nBedford Park,Lawrence Manor East                           24   \nCFB Toronto,Downsview East                                  3   \nDon Mills North                                             5   \nDownsview Central                                           4   \nDownsview Northwest                                         4   \nDownsview West                                              6   \nDownsview,North Park,Upwood Park                            4   \nEmery,Humberlea                                             2   \nFairview,Henry Farm,Oriole                                 65   \nFlemingdon Park,Don Mills South                            23   \nGlencairn                                                   6   \nHillcrest Village                                           5   \nHumber Summit                                               1   \nLawrence Heights,Lawrence Manor                            12   \nNorthwood Park,York University                              6   \nParkwoods                                                   2   \nVictoria Village                                            6   \nWillowdale South                                           36   \nWillowdale West                                             6   \nYork Mills West                                             3   \n\n                                               Venue Longitude  Venue Category  \nNeighborhood                                                                    \nBathurst Manor,Downsview North,Wilson Heights               18              18  \nBayview Village                                              4               4  \nBedford Park,Lawrence Manor East                            24              24  \nCFB Toronto,Downsview East                                   3               3  \nDon Mills North                                              5               5  \nDownsview Central                                            4               4  \nDownsview Northwest                                          4               4  \nDownsview West                                               6               6  \nDownsview,North Park,Upwood Park                             4               4  \nEmery,Humberlea                                              2               2  \nFairview,Henry Farm,Oriole                                  65              65  \nFlemingdon Park,Don Mills South                             23              23  \nGlencairn                                                    6               6  \nHillcrest Village                                            5               5  \nHumber Summit                                                1               1  \nLawrence Heights,Lawrence Manor                             12              12  \nNorthwood Park,York University                               6               6  \nParkwoods                                                    2               2  \nVictoria Village                                             6               6  \nWillowdale South                                            36              36  \nWillowdale West                                              6               6  \nYork Mills West                                              3               3  "
                    }, 
                    "output_type": "execute_result"
                }
            ], 
            "source": "NorthYork_venues.groupby('Neighborhood').count()"
        }, 
        {
            "execution_count": 102, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [
                {
                    "output_type": "stream", 
                    "name": "stdout", 
                    "text": "There are 109 uniques categories.\n"
                }
            ], 
            "source": "print('There are {} uniques categories.'.format(len(NorthYork_venues['Venue Category'].unique())))"
        }, 
        {
            "source": "7. Analyse each neighbourhood", 
            "cell_type": "markdown", 
            "metadata": {}
        }, 
        {
            "execution_count": 103, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [
                {
                    "execution_count": 103, 
                    "metadata": {}, 
                    "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>Accessories Store</th>\n      <th>Airport</th>\n      <th>American Restaurant</th>\n      <th>Arts &amp; Crafts Store</th>\n      <th>Asian Restaurant</th>\n      <th>Athletics &amp; Sports</th>\n      <th>Bakery</th>\n      <th>Bank</th>\n      <th>Bar</th>\n      <th>...</th>\n      <th>Sushi Restaurant</th>\n      <th>Tea Room</th>\n      <th>Thai Restaurant</th>\n      <th>Theater</th>\n      <th>Toy / Game Store</th>\n      <th>Video Game Store</th>\n      <th>Video Store</th>\n      <th>Vietnamese Restaurant</th>\n      <th>Wings Joint</th>\n      <th>Women's Store</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Hillcrest Village</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Hillcrest Village</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>Hillcrest Village</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>Hillcrest Village</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>Hillcrest Village</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n  </tbody>\n</table>\n<p>5 rows \u00d7 110 columns</p>\n</div>", 
                        "text/plain": "        Neighborhood  Accessories Store  Airport  American Restaurant  \\\n0  Hillcrest Village                  0        0                    0   \n1  Hillcrest Village                  0        0                    0   \n2  Hillcrest Village                  0        0                    0   \n3  Hillcrest Village                  0        0                    0   \n4  Hillcrest Village                  0        0                    0   \n\n   Arts & Crafts Store  Asian Restaurant  Athletics & Sports  Bakery  Bank  \\\n0                    0                 0                   0       0     0   \n1                    0                 0                   0       0     0   \n2                    0                 0                   0       0     0   \n3                    0                 0                   0       0     0   \n4                    0                 0                   1       0     0   \n\n   Bar  ...  Sushi Restaurant  Tea Room  Thai Restaurant  Theater  \\\n0    0  ...                 0         0                0        0   \n1    0  ...                 0         0                0        0   \n2    0  ...                 0         0                0        0   \n3    0  ...                 0         0                0        0   \n4    0  ...                 0         0                0        0   \n\n   Toy / Game Store  Video Game Store  Video Store  Vietnamese Restaurant  \\\n0                 0                 0            0                      0   \n1                 0                 0            0                      0   \n2                 0                 0            0                      0   \n3                 0                 0            0                      0   \n4                 0                 0            0                      0   \n\n   Wings Joint  Women's Store  \n0            0              0  \n1            0              0  \n2            0              0  \n3            0              0  \n4            0              0  \n\n[5 rows x 110 columns]"
                    }, 
                    "output_type": "execute_result"
                }
            ], 
            "source": "# one hot encoding\nNorthYork_onehot = pd.get_dummies(NorthYork_venues[['Venue Category']], prefix=\"\", prefix_sep=\"\")\n\n# add neighborhood column back to dataframe\nNorthYork_onehot['Neighborhood'] = NorthYork_venues['Neighborhood'] \n\n# move neighborhood column to the first column\nfixed_columns = [NorthYork_onehot.columns[-1]] + list(NorthYork_onehot.columns[:-1])\nNorthYork_onehot = NorthYork_onehot[fixed_columns]\n\nNorthYork_onehot.head()"
        }, 
        {
            "execution_count": 105, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [
                {
                    "execution_count": 105, 
                    "metadata": {}, 
                    "data": {
                        "text/plain": "(245, 110)"
                    }, 
                    "output_type": "execute_result"
                }
            ], 
            "source": "NorthYork_onehot.shape"
        }, 
        {
            "execution_count": 106, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [
                {
                    "execution_count": 106, 
                    "metadata": {}, 
                    "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>Accessories Store</th>\n      <th>Airport</th>\n      <th>American Restaurant</th>\n      <th>Arts &amp; Crafts Store</th>\n      <th>Asian Restaurant</th>\n      <th>Athletics &amp; Sports</th>\n      <th>Bakery</th>\n      <th>Bank</th>\n      <th>Bar</th>\n      <th>...</th>\n      <th>Sushi Restaurant</th>\n      <th>Tea Room</th>\n      <th>Thai Restaurant</th>\n      <th>Theater</th>\n      <th>Toy / Game Store</th>\n      <th>Video Game Store</th>\n      <th>Video Store</th>\n      <th>Vietnamese Restaurant</th>\n      <th>Wings Joint</th>\n      <th>Women's Store</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Bathurst Manor,Downsview North,Wilson Heights</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.055556</td>\n      <td>0.000000</td>\n      <td>...</td>\n      <td>0.055556</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.055556</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Bayview Village</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.250000</td>\n      <td>0.000000</td>\n      <td>...</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>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>2</th>\n      <td>Bedford Park,Lawrence Manor East</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.041667</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>...</td>\n      <td>0.041667</td>\n      <td>0.000000</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      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>CFB Toronto,Downsview East</td>\n      <td>0.000000</td>\n      <td>0.333333</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>...</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>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>Don Mills 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>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>...</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>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>Downsview Central</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>...</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>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>Downsview Northwest</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.25</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>...</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>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>7</th>\n      <td>Downsview 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>0.00</td>\n      <td>0.000000</td>\n      <td>0.166667</td>\n      <td>0.000000</td>\n      <td>...</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>8</th>\n      <td>Downsview,North Park,Upwood 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>0.00</td>\n      <td>0.250000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>...</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>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>Emery,Humberlea</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>...</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>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>10</th>\n      <td>Fairview,Henry Farm,Oriole</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.015385</td>\n      <td>0.000000</td>\n      <td>0.015385</td>\n      <td>0.00</td>\n      <td>0.030769</td>\n      <td>0.015385</td>\n      <td>0.000000</td>\n      <td>...</td>\n      <td>0.000000</td>\n      <td>0.015385</td>\n      <td>0.000000</td>\n      <td>0.015385</td>\n      <td>0.015385</td>\n      <td>0.015385</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.015385</td>\n      <td>0.046154</td>\n    </tr>\n    <tr>\n      <th>11</th>\n      <td>Flemingdon Park,Don Mills South</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.086957</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>...</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>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>Glencairn</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.166667</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>...</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>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>Hillcrest Village</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.20</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>...</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>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>14</th>\n      <td>Humber Summit</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>...</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>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>15</th>\n      <td>Lawrence Heights,Lawrence Manor</td>\n      <td>0.083333</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>...</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.083333</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>16</th>\n      <td>Northwood Park,York University</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.166667</td>\n      <td>...</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>17</th>\n      <td>Parkwoods</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>...</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>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>Victoria Village</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>...</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>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>19</th>\n      <td>Willowdale South</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.027778</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>...</td>\n      <td>0.055556</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.027778</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>20</th>\n      <td>Willowdale 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>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>...</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>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>York Mills 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>0.00</td>\n      <td>0.000000</td>\n      <td>0.333333</td>\n      <td>0.000000</td>\n      <td>...</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>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>22 rows \u00d7 110 columns</p>\n</div>", 
                        "text/plain": "                                     Neighborhood  Accessories Store  \\\n0   Bathurst Manor,Downsview North,Wilson Heights           0.000000   \n1                                 Bayview Village           0.000000   \n2                Bedford Park,Lawrence Manor East           0.000000   \n3                      CFB Toronto,Downsview East           0.000000   \n4                                 Don Mills North           0.000000   \n5                               Downsview Central           0.000000   \n6                             Downsview Northwest           0.000000   \n7                                  Downsview West           0.000000   \n8                Downsview,North Park,Upwood Park           0.000000   \n9                                 Emery,Humberlea           0.000000   \n10                     Fairview,Henry Farm,Oriole           0.000000   \n11                Flemingdon Park,Don Mills South           0.000000   \n12                                      Glencairn           0.000000   \n13                              Hillcrest Village           0.000000   \n14                                  Humber Summit           0.000000   \n15                Lawrence Heights,Lawrence Manor           0.083333   \n16                 Northwood Park,York University           0.000000   \n17                                      Parkwoods           0.000000   \n18                               Victoria Village           0.000000   \n19                               Willowdale South           0.000000   \n20                                Willowdale West           0.000000   \n21                                York Mills West           0.000000   \n\n     Airport  American Restaurant  Arts & Crafts Store  Asian Restaurant  \\\n0   0.000000             0.000000             0.000000          0.000000   \n1   0.000000             0.000000             0.000000          0.000000   \n2   0.000000             0.041667             0.000000          0.000000   \n3   0.333333             0.000000             0.000000          0.000000   \n4   0.000000             0.000000             0.000000          0.000000   \n5   0.000000             0.000000             0.000000          0.000000   \n6   0.000000             0.000000             0.000000          0.000000   \n7   0.000000             0.000000             0.000000          0.000000   \n8   0.000000             0.000000             0.000000          0.000000   \n9   0.000000             0.000000             0.000000          0.000000   \n10  0.000000             0.015385             0.000000          0.015385   \n11  0.000000             0.000000             0.000000          0.086957   \n12  0.000000             0.000000             0.000000          0.000000   \n13  0.000000             0.000000             0.000000          0.000000   \n14  0.000000             0.000000             0.000000          0.000000   \n15  0.000000             0.000000             0.000000          0.000000   \n16  0.000000             0.000000             0.000000          0.000000   \n17  0.000000             0.000000             0.000000          0.000000   \n18  0.000000             0.000000             0.000000          0.000000   \n19  0.000000             0.000000             0.027778          0.000000   \n20  0.000000             0.000000             0.000000          0.000000   \n21  0.000000             0.000000             0.000000          0.000000   \n\n    Athletics & Sports    Bakery      Bank       Bar  ...  Sushi Restaurant  \\\n0                 0.00  0.000000  0.055556  0.000000  ...          0.055556   \n1                 0.00  0.000000  0.250000  0.000000  ...          0.000000   \n2                 0.00  0.000000  0.000000  0.000000  ...          0.041667   \n3                 0.00  0.000000  0.000000  0.000000  ...          0.000000   \n4                 0.00  0.000000  0.000000  0.000000  ...          0.000000   \n5                 0.00  0.000000  0.000000  0.000000  ...          0.000000   \n6                 0.25  0.000000  0.000000  0.000000  ...          0.000000   \n7                 0.00  0.000000  0.166667  0.000000  ...          0.000000   \n8                 0.00  0.250000  0.000000  0.000000  ...          0.000000   \n9                 0.00  0.000000  0.000000  0.000000  ...          0.000000   \n10                0.00  0.030769  0.015385  0.000000  ...          0.000000   \n11                0.00  0.000000  0.000000  0.000000  ...          0.000000   \n12                0.00  0.166667  0.000000  0.000000  ...          0.000000   \n13                0.20  0.000000  0.000000  0.000000  ...          0.000000   \n14                0.00  0.000000  0.000000  0.000000  ...          0.000000   \n15                0.00  0.000000  0.000000  0.000000  ...          0.000000   \n16                0.00  0.000000  0.000000  0.166667  ...          0.000000   \n17                0.00  0.000000  0.000000  0.000000  ...          0.000000   \n18                0.00  0.000000  0.000000  0.000000  ...          0.000000   \n19                0.00  0.000000  0.000000  0.000000  ...          0.055556   \n20                0.00  0.000000  0.000000  0.000000  ...          0.000000   \n21                0.00  0.000000  0.333333  0.000000  ...          0.000000   \n\n    Tea Room  Thai Restaurant   Theater  Toy / Game Store  Video Game Store  \\\n0   0.000000         0.000000  0.000000          0.000000          0.000000   \n1   0.000000         0.000000  0.000000          0.000000          0.000000   \n2   0.000000         0.041667  0.000000          0.000000          0.000000   \n3   0.000000         0.000000  0.000000          0.000000          0.000000   \n4   0.000000         0.000000  0.000000          0.000000          0.000000   \n5   0.000000         0.000000  0.000000          0.000000          0.000000   \n6   0.000000         0.000000  0.000000          0.000000          0.000000   \n7   0.000000         0.000000  0.000000          0.000000          0.000000   \n8   0.000000         0.000000  0.000000          0.000000          0.000000   \n9   0.000000         0.000000  0.000000          0.000000          0.000000   \n10  0.015385         0.000000  0.015385          0.015385          0.015385   \n11  0.000000         0.000000  0.000000          0.000000          0.000000   \n12  0.000000         0.000000  0.000000          0.000000          0.000000   \n13  0.000000         0.000000  0.000000          0.000000          0.000000   \n14  0.000000         0.000000  0.000000          0.000000          0.000000   \n15  0.000000         0.000000  0.000000          0.000000          0.000000   \n16  0.000000         0.000000  0.000000          0.000000          0.000000   \n17  0.000000         0.000000  0.000000          0.000000          0.000000   \n18  0.000000         0.000000  0.000000          0.000000          0.000000   \n19  0.000000         0.000000  0.000000          0.000000          0.000000   \n20  0.000000         0.000000  0.000000          0.000000          0.000000   \n21  0.000000         0.000000  0.000000          0.000000          0.000000   \n\n    Video Store  Vietnamese Restaurant  Wings Joint  Women's Store  \n0      0.055556               0.000000     0.000000       0.000000  \n1      0.000000               0.000000     0.000000       0.000000  \n2      0.000000               0.000000     0.000000       0.000000  \n3      0.000000               0.000000     0.000000       0.000000  \n4      0.000000               0.000000     0.000000       0.000000  \n5      0.000000               0.000000     0.000000       0.000000  \n6      0.000000               0.000000     0.000000       0.000000  \n7      0.000000               0.000000     0.000000       0.000000  \n8      0.000000               0.000000     0.000000       0.000000  \n9      0.000000               0.000000     0.000000       0.000000  \n10     0.000000               0.000000     0.015385       0.046154  \n11     0.000000               0.000000     0.000000       0.000000  \n12     0.000000               0.000000     0.000000       0.000000  \n13     0.000000               0.000000     0.000000       0.000000  \n14     0.000000               0.000000     0.000000       0.000000  \n15     0.000000               0.083333     0.000000       0.000000  \n16     0.000000               0.000000     0.000000       0.000000  \n17     0.000000               0.000000     0.000000       0.000000  \n18     0.000000               0.000000     0.000000       0.000000  \n19     0.000000               0.027778     0.000000       0.000000  \n20     0.000000               0.000000     0.000000       0.000000  \n21     0.000000               0.000000     0.000000       0.000000  \n\n[22 rows x 110 columns]"
                    }, 
                    "output_type": "execute_result"
                }
            ], 
            "source": "NorthYork_grouped = NorthYork_onehot.groupby('Neighborhood').mean().reset_index()\nNorthYork_grouped\n\n"
        }, 
        {
            "execution_count": 107, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [
                {
                    "execution_count": 107, 
                    "metadata": {}, 
                    "data": {
                        "text/plain": "(22, 110)"
                    }, 
                    "output_type": "execute_result"
                }
            ], 
            "source": "NorthYork_grouped.shape"
        }, 
        {
            "source": "7a: print each neighbourhood along with top 5 most common venues", 
            "cell_type": "markdown", 
            "metadata": {}
        }, 
        {
            "execution_count": 109, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [
                {
                    "output_type": "stream", 
                    "name": "stdout", 
                    "text": "----Bathurst Manor,Downsview North,Wilson Heights----\n                 venue  freq\n0          Coffee Shop  0.11\n1  Fried Chicken Joint  0.06\n2          Supermarket  0.06\n3        Deli / Bodega  0.06\n4             Pharmacy  0.06\n\n\n----Bayview Village----\n                 venue  freq\n0   Chinese Restaurant  0.25\n1                 Bank  0.25\n2  Japanese Restaurant  0.25\n3                 Caf\u00e9  0.25\n4    Accessories Store  0.00\n\n\n----Bedford Park,Lawrence Manor East----\n                venue  freq\n0         Coffee Shop  0.08\n1  Italian Restaurant  0.08\n2   Indian Restaurant  0.04\n3        Liquor Store  0.04\n4                 Pub  0.04\n\n\n----CFB Toronto,Downsview East----\n         venue  freq\n0      Airport  0.33\n1         Park  0.33\n2  Snack Place  0.33\n3        Plaza  0.00\n4  Pizza Place  0.00\n\n\n----Don Mills North----\n                  venue  freq\n0  Gym / Fitness Center   0.2\n1  Caribbean Restaurant   0.2\n2   Japanese Restaurant   0.2\n3                  Caf\u00e9   0.2\n4      Basketball Court   0.2\n\n\n----Downsview Central----\n              venue  freq\n0      Home Service  0.25\n1    Baseball Field  0.25\n2  Business Service  0.25\n3        Food Truck  0.25\n4    Massage Studio  0.00\n\n\n----Downsview Northwest----\n                  venue  freq\n0  Gym / Fitness Center  0.25\n1         Grocery Store  0.25\n2    Athletics & Sports  0.25\n3        Discount Store  0.25\n4         Luggage Store  0.00\n\n\n----Downsview West----\n           venue  freq\n0  Grocery Store  0.33\n1          Hotel  0.17\n2           Bank  0.17\n3           Park  0.17\n4  Shopping Mall  0.17\n\n\n----Downsview,North Park,Upwood Park----\n                        venue  freq\n0                      Bakery  0.25\n1                        Park  0.25\n2            Basketball Court  0.25\n3  Construction & Landscaping  0.25\n4           Accessories Store  0.00\n\n\n----Emery,Humberlea----\n                           venue  freq\n0  Paper / Office Supplies Store   0.5\n1                 Baseball Field   0.5\n2              Accessories Store   0.0\n3                  Luggage Store   0.0\n4                     Playground   0.0\n\n\n----Fairview,Henry Farm,Oriole----\n                  venue  freq\n0        Clothing Store  0.17\n1           Coffee Shop  0.08\n2  Fast Food Restaurant  0.08\n3         Women's Store  0.05\n4                Bakery  0.03\n\n\n----Flemingdon Park,Don Mills South----\n              venue  freq\n0        Beer Store  0.09\n1  Asian Restaurant  0.09\n2       Coffee Shop  0.09\n3               Gym  0.09\n4         Bike Shop  0.04\n\n\n----Glencairn----\n                venue  freq\n0          Playground  0.17\n1                 Pub  0.17\n2              Bakery  0.17\n3                Park  0.17\n4  Italian Restaurant  0.17\n\n\n----Hillcrest Village----\n                      venue  freq\n0                      Pool   0.2\n1        Athletics & Sports   0.2\n2               Golf Course   0.2\n3                   Dog Run   0.2\n4  Mediterranean Restaurant   0.2\n\n\n----Humber Summit----\n               venue  freq\n0        Pizza Place   1.0\n1  Accessories Store   0.0\n2      Luggage Store   0.0\n3         Playground   0.0\n4           Pharmacy   0.0\n\n\n----Lawrence Heights,Lawrence Manor----\n                    venue  freq\n0  Furniture / Home Store  0.25\n1       Accessories Store  0.08\n2          Clothing Store  0.08\n3             Event Space  0.08\n4              Shoe Store  0.08\n\n\n----Northwood Park,York University----\n                    venue  freq\n0          Massage Studio  0.17\n1             Coffee Shop  0.17\n2    Caribbean Restaurant  0.17\n3                     Bar  0.17\n4  Furniture / Home Store  0.17\n\n\n----Parkwoods----\n               venue  freq\n0  Food & Drink Shop   0.5\n1               Park   0.5\n2             Lounge   0.0\n3        Pizza Place   0.0\n4           Pharmacy   0.0\n\n\n----Victoria Village----\n                   venue  freq\n0  Portuguese Restaurant  0.17\n1           Intersection  0.17\n2            Coffee Shop  0.17\n3            Pizza Place  0.17\n4      French Restaurant  0.17\n\n\n----Willowdale South----\n              venue  freq\n0  Ramen Restaurant  0.08\n1       Coffee Shop  0.08\n2       Pizza Place  0.06\n3        Restaurant  0.06\n4  Sushi Restaurant  0.06\n\n\n----Willowdale West----\n            venue  freq\n0     Coffee Shop  0.17\n1   Grocery Store  0.17\n2     Pizza Place  0.17\n3        Pharmacy  0.17\n4  Discount Store  0.17\n\n\n----York Mills West----\n               venue  freq\n0  Convenience Store  0.33\n1               Bank  0.33\n2               Park  0.33\n3  Accessories Store  0.00\n4     Massage Studio  0.00\n\n\n"
                }
            ], 
            "source": "num_top_venues = 5\n\nfor hood in NorthYork_grouped['Neighborhood']:\n    print(\"----\"+hood+\"----\")\n    temp = NorthYork_grouped[NorthYork_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')"
        }, 
        {
            "source": "7b: put the above in pandas dataframe", 
            "cell_type": "markdown", 
            "metadata": {}
        }, 
        {
            "execution_count": 110, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [], 
            "source": "def return_most_common_venues(row, num_top_venues):\n    row_categories = row.iloc[1:]\n    row_categories_sorted = row_categories.sort_values(ascending=False)\n    \n    return row_categories_sorted.index.values[0:num_top_venues]"
        }, 
        {
            "execution_count": 111, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [
                {
                    "execution_count": 111, 
                    "metadata": {}, 
                    "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>Bathurst Manor,Downsview North,Wilson Heights</td>\n      <td>Coffee Shop</td>\n      <td>Supermarket</td>\n      <td>Middle Eastern Restaurant</td>\n      <td>Pharmacy</td>\n      <td>Deli / Bodega</td>\n      <td>Restaurant</td>\n      <td>Diner</td>\n      <td>Sandwich Place</td>\n      <td>Bridal Shop</td>\n      <td>Shopping Mall</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Bayview Village</td>\n      <td>Chinese Restaurant</td>\n      <td>Caf\u00e9</td>\n      <td>Bank</td>\n      <td>Japanese Restaurant</td>\n      <td>Women's Store</td>\n      <td>Event Space</td>\n      <td>Convenience Store</td>\n      <td>Cosmetics Shop</td>\n      <td>Deli / Bodega</td>\n      <td>Department Store</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>Bedford Park,Lawrence Manor East</td>\n      <td>Coffee Shop</td>\n      <td>Italian Restaurant</td>\n      <td>Indian Restaurant</td>\n      <td>Spa</td>\n      <td>Liquor Store</td>\n      <td>Pharmacy</td>\n      <td>Pizza Place</td>\n      <td>Caf\u00e9</td>\n      <td>Butcher</td>\n      <td>Juice Bar</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>CFB Toronto,Downsview East</td>\n      <td>Snack Place</td>\n      <td>Airport</td>\n      <td>Park</td>\n      <td>Women's Store</td>\n      <td>Construction &amp; Landscaping</td>\n      <td>Convenience Store</td>\n      <td>Cosmetics Shop</td>\n      <td>Deli / Bodega</td>\n      <td>Department Store</td>\n      <td>Dim Sum Restaurant</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>Don Mills North</td>\n      <td>Gym / Fitness Center</td>\n      <td>Caribbean Restaurant</td>\n      <td>Caf\u00e9</td>\n      <td>Basketball Court</td>\n      <td>Japanese Restaurant</td>\n      <td>Event Space</td>\n      <td>Convenience Store</td>\n      <td>Cosmetics Shop</td>\n      <td>Deli / Bodega</td>\n      <td>Department Store</td>\n    </tr>\n  </tbody>\n</table>\n</div>", 
                        "text/plain": "                                    Neighborhood 1st Most Common Venue  \\\n0  Bathurst Manor,Downsview North,Wilson Heights           Coffee Shop   \n1                                Bayview Village    Chinese Restaurant   \n2               Bedford Park,Lawrence Manor East           Coffee Shop   \n3                     CFB Toronto,Downsview East           Snack Place   \n4                                Don Mills North  Gym / Fitness Center   \n\n  2nd Most Common Venue      3rd Most Common Venue 4th Most Common Venue  \\\n0           Supermarket  Middle Eastern Restaurant              Pharmacy   \n1                  Caf\u00e9                       Bank   Japanese Restaurant   \n2    Italian Restaurant          Indian Restaurant                   Spa   \n3               Airport                       Park         Women's Store   \n4  Caribbean Restaurant                       Caf\u00e9      Basketball Court   \n\n        5th Most Common Venue 6th Most Common Venue 7th Most Common Venue  \\\n0               Deli / Bodega            Restaurant                 Diner   \n1               Women's Store           Event Space     Convenience Store   \n2                Liquor Store              Pharmacy           Pizza Place   \n3  Construction & Landscaping     Convenience Store        Cosmetics Shop   \n4         Japanese Restaurant           Event Space     Convenience Store   \n\n  8th Most Common Venue 9th Most Common Venue 10th Most Common Venue  \n0        Sandwich Place           Bridal Shop          Shopping Mall  \n1        Cosmetics Shop         Deli / Bodega       Department Store  \n2                  Caf\u00e9               Butcher              Juice Bar  \n3         Deli / Bodega      Department Store     Dim Sum Restaurant  \n4        Cosmetics Shop         Deli / Bodega       Department Store  "
                    }, 
                    "output_type": "execute_result"
                }
            ], 
            "source": "num_top_venues = 10\n\nindicators = ['st', 'nd', 'rd']\n\n# create columns according to number of top venues\ncolumns = ['Neighborhood']\nfor ind in np.arange(num_top_venues):\n    try:\n        columns.append('{}{} Most Common Venue'.format(ind+1, indicators[ind]))\n    except:\n        columns.append('{}th Most Common Venue'.format(ind+1))\n\n# create a new dataframe\nneighborhoods_venues_sorted = pd.DataFrame(columns=columns)\nneighborhoods_venues_sorted['Neighborhood'] = NorthYork_grouped['Neighborhood']\n\nfor ind in np.arange(NorthYork_grouped.shape[0]):\n    neighborhoods_venues_sorted.iloc[ind, 1:] = return_most_common_venues(NorthYork_grouped.iloc[ind, :], num_top_venues)\n\nneighborhoods_venues_sorted.head()"
        }, 
        {
            "source": "8. Cluster Neighbourhoods", 
            "cell_type": "markdown", 
            "metadata": {}
        }, 
        {
            "execution_count": 120, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [
                {
                    "execution_count": 120, 
                    "metadata": {}, 
                    "data": {
                        "text/plain": "array([1, 3, 1, 3, 3, 4, 1, 1, 3, 4], dtype=int32)"
                    }, 
                    "output_type": "execute_result"
                }
            ], 
            "source": "# set number of clusters\nkclusters = 5\n\nNorthYork_grouped_clustering = NorthYork_grouped.drop('Neighborhood', 1)\n\n# run k-means clustering\nkmeans = KMeans(n_clusters=kclusters, random_state=0).fit(NorthYork_grouped_clustering)\n\n# check cluster labels generated for each row in the dataframe\nkmeans.labels_[0:10] "
        }, 
        {
            "execution_count": null, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [], 
            "source": "neighborhoods_venues_sorted.insert(0, 'Cluster Labels', kmeans.labels_)"
        }, 
        {
            "execution_count": 126, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [
                {
                    "execution_count": 126, 
                    "metadata": {}, 
                    "data": {
                        "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Postcode</th>\n      <th>Borough</th>\n      <th>Neighbourhood</th>\n      <th>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>M2H</td>\n      <td>North York</td>\n      <td>Hillcrest Village</td>\n      <td>43.803762</td>\n      <td>-79.363452</td>\n      <td>1.0</td>\n      <td>Golf Course</td>\n      <td>Pool</td>\n      <td>Athletics &amp; Sports</td>\n      <td>Mediterranean Restaurant</td>\n      <td>Dog Run</td>\n      <td>Women's Store</td>\n      <td>Electronics Store</td>\n      <td>Construction &amp; Landscaping</td>\n      <td>Convenience Store</td>\n      <td>Cosmetics Shop</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>M2J</td>\n      <td>North York</td>\n      <td>Fairview,Henry Farm,Oriole</td>\n      <td>43.778517</td>\n      <td>-79.346556</td>\n      <td>1.0</td>\n      <td>Clothing Store</td>\n      <td>Fast Food Restaurant</td>\n      <td>Coffee Shop</td>\n      <td>Women's Store</td>\n      <td>Bakery</td>\n      <td>Japanese Restaurant</td>\n      <td>Food Court</td>\n      <td>Deli / Bodega</td>\n      <td>Greek Restaurant</td>\n      <td>Gift Shop</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>M2K</td>\n      <td>North York</td>\n      <td>Bayview Village</td>\n      <td>43.786947</td>\n      <td>-79.385975</td>\n      <td>3.0</td>\n      <td>Chinese Restaurant</td>\n      <td>Caf\u00e9</td>\n      <td>Bank</td>\n      <td>Japanese Restaurant</td>\n      <td>Women's Store</td>\n      <td>Event Space</td>\n      <td>Convenience Store</td>\n      <td>Cosmetics Shop</td>\n      <td>Deli / Bodega</td>\n      <td>Department Store</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>M2L</td>\n      <td>North York</td>\n      <td>Silver Hills,York Mills</td>\n      <td>43.757490</td>\n      <td>-79.374714</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>M2M</td>\n      <td>North York</td>\n      <td>Newtonbrook,Willowdale</td>\n      <td>43.789053</td>\n      <td>-79.408493</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n  </tbody>\n</table>\n</div>", 
                        "text/plain": "  Postcode     Borough               Neighbourhood   Latitude  Longitude  \\\n0      M2H  North York           Hillcrest Village  43.803762 -79.363452   \n1      M2J  North York  Fairview,Henry Farm,Oriole  43.778517 -79.346556   \n2      M2K  North York             Bayview Village  43.786947 -79.385975   \n3      M2L  North York     Silver Hills,York Mills  43.757490 -79.374714   \n4      M2M  North York      Newtonbrook,Willowdale  43.789053 -79.408493   \n\n   Cluster Labels 1st Most Common Venue 2nd Most Common Venue  \\\n0             1.0           Golf Course                  Pool   \n1             1.0        Clothing Store  Fast Food Restaurant   \n2             3.0    Chinese Restaurant                  Caf\u00e9   \n3             NaN                   NaN                   NaN   \n4             NaN                   NaN                   NaN   \n\n  3rd Most Common Venue     4th Most Common Venue 5th Most Common Venue  \\\n0    Athletics & Sports  Mediterranean Restaurant               Dog Run   \n1           Coffee Shop             Women's Store                Bakery   \n2                  Bank       Japanese Restaurant         Women's Store   \n3                   NaN                       NaN                   NaN   \n4                   NaN                       NaN                   NaN   \n\n  6th Most Common Venue 7th Most Common Venue       8th Most Common Venue  \\\n0         Women's Store     Electronics Store  Construction & Landscaping   \n1   Japanese Restaurant            Food Court               Deli / Bodega   \n2           Event Space     Convenience Store              Cosmetics Shop   \n3                   NaN                   NaN                         NaN   \n4                   NaN                   NaN                         NaN   \n\n  9th Most Common Venue 10th Most Common Venue  \n0     Convenience Store         Cosmetics Shop  \n1      Greek Restaurant              Gift Shop  \n2         Deli / Bodega       Department Store  \n3                   NaN                    NaN  \n4                   NaN                    NaN  "
                    }, 
                    "output_type": "execute_result"
                }
            ], 
            "source": "NorthYork_merged = NorthYork_data\n\n# merge NorthYork_grouped with NorthYork_data to add latitude/longitude for each neighborhood\nNorthYork_merged = NorthYork_merged.join(neighborhoods_venues_sorted.set_index('Neighborhood'), on='Neighbourhood')\n\nNorthYork_merged.head() # check the last columns!"
        }, 
        {
            "source": "8b: visualise resulting clusters", 
            "cell_type": "markdown", 
            "metadata": {}
        }, 
        {
            "execution_count": 132, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [], 
            "source": "map_clusters = folium.Map(location=[latitude, longitude], zoom_start=11)\n\n# set color scheme for the clusters\nx = np.arange(kclusters)\nys = [i + x + (i*x)**2 for i in range(kclusters)]\ncolors_array = cm.rainbow(np.linspace(0, 1, len(ys)))\nrainbow = [colors.rgb2hex(i) for i in colors_array]\n"
        }, 
        {
            "execution_count": 136, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [
                {
                    "execution_count": 136, 
                    "metadata": {}, 
                    "data": {
                        "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Postcode</th>\n      <th>Borough</th>\n      <th>Neighbourhood</th>\n      <th>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>M2H</td>\n      <td>North York</td>\n      <td>Hillcrest Village</td>\n      <td>43.803762</td>\n      <td>-79.363452</td>\n      <td>1.0</td>\n      <td>Golf Course</td>\n      <td>Pool</td>\n      <td>Athletics &amp; Sports</td>\n      <td>Mediterranean Restaurant</td>\n      <td>Dog Run</td>\n      <td>Women's Store</td>\n      <td>Electronics Store</td>\n      <td>Construction &amp; Landscaping</td>\n      <td>Convenience Store</td>\n      <td>Cosmetics Shop</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>M2J</td>\n      <td>North York</td>\n      <td>Fairview,Henry Farm,Oriole</td>\n      <td>43.778517</td>\n      <td>-79.346556</td>\n      <td>1.0</td>\n      <td>Clothing Store</td>\n      <td>Fast Food Restaurant</td>\n      <td>Coffee Shop</td>\n      <td>Women's Store</td>\n      <td>Bakery</td>\n      <td>Japanese Restaurant</td>\n      <td>Food Court</td>\n      <td>Deli / Bodega</td>\n      <td>Greek Restaurant</td>\n      <td>Gift Shop</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>M2K</td>\n      <td>North York</td>\n      <td>Bayview Village</td>\n      <td>43.786947</td>\n      <td>-79.385975</td>\n      <td>3.0</td>\n      <td>Chinese Restaurant</td>\n      <td>Caf\u00e9</td>\n      <td>Bank</td>\n      <td>Japanese Restaurant</td>\n      <td>Women's Store</td>\n      <td>Event Space</td>\n      <td>Convenience Store</td>\n      <td>Cosmetics Shop</td>\n      <td>Deli / Bodega</td>\n      <td>Department Store</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>M2N</td>\n      <td>North York</td>\n      <td>Willowdale South</td>\n      <td>43.770120</td>\n      <td>-79.408493</td>\n      <td>1.0</td>\n      <td>Coffee Shop</td>\n      <td>Ramen Restaurant</td>\n      <td>Pizza Place</td>\n      <td>Sandwich Place</td>\n      <td>Restaurant</td>\n      <td>Caf\u00e9</td>\n      <td>Sushi Restaurant</td>\n      <td>Japanese Restaurant</td>\n      <td>Pet Store</td>\n      <td>Juice Bar</td>\n    </tr>\n    <tr>\n      <th>6</th>\n      <td>M2P</td>\n      <td>North York</td>\n      <td>York Mills West</td>\n      <td>43.752758</td>\n      <td>-79.400049</td>\n      <td>3.0</td>\n      <td>Convenience Store</td>\n      <td>Park</td>\n      <td>Bank</td>\n      <td>Women's Store</td>\n      <td>Event Space</td>\n      <td>Construction &amp; Landscaping</td>\n      <td>Cosmetics Shop</td>\n      <td>Deli / Bodega</td>\n      <td>Department Store</td>\n      <td>Dim Sum Restaurant</td>\n    </tr>\n    <tr>\n      <th>7</th>\n      <td>M2R</td>\n      <td>North York</td>\n      <td>Willowdale West</td>\n      <td>43.782736</td>\n      <td>-79.442259</td>\n      <td>1.0</td>\n      <td>Coffee Shop</td>\n      <td>Pizza Place</td>\n      <td>Pharmacy</td>\n      <td>Butcher</td>\n      <td>Discount Store</td>\n      <td>Grocery Store</td>\n      <td>Fried Chicken Joint</td>\n      <td>French Restaurant</td>\n      <td>Golf Course</td>\n      <td>Concert Hall</td>\n    </tr>\n    <tr>\n      <th>8</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      <td>0.0</td>\n      <td>Park</td>\n      <td>Food &amp; Drink Shop</td>\n      <td>Women's Store</td>\n      <td>Event Space</td>\n      <td>Construction &amp; Landscaping</td>\n      <td>Convenience Store</td>\n      <td>Cosmetics Shop</td>\n      <td>Deli / Bodega</td>\n      <td>Department Store</td>\n      <td>Dim Sum Restaurant</td>\n    </tr>\n    <tr>\n      <th>9</th>\n      <td>M3B</td>\n      <td>North York</td>\n      <td>Don Mills North</td>\n      <td>43.745906</td>\n      <td>-79.352188</td>\n      <td>3.0</td>\n      <td>Gym / Fitness Center</td>\n      <td>Caribbean Restaurant</td>\n      <td>Caf\u00e9</td>\n      <td>Basketball Court</td>\n      <td>Japanese Restaurant</td>\n      <td>Event Space</td>\n      <td>Convenience Store</td>\n      <td>Cosmetics Shop</td>\n      <td>Deli / Bodega</td>\n      <td>Department Store</td>\n    </tr>\n    <tr>\n      <th>10</th>\n      <td>M3C</td>\n      <td>North York</td>\n      <td>Flemingdon Park,Don Mills South</td>\n      <td>43.725900</td>\n      <td>-79.340923</td>\n      <td>1.0</td>\n      <td>Coffee Shop</td>\n      <td>Gym</td>\n      <td>Asian Restaurant</td>\n      <td>Beer Store</td>\n      <td>Smoke Shop</td>\n      <td>Bike Shop</td>\n      <td>Clothing Store</td>\n      <td>Chinese Restaurant</td>\n      <td>Caf\u00e9</td>\n      <td>Dim Sum Restaurant</td>\n    </tr>\n    <tr>\n      <th>11</th>\n      <td>M3H</td>\n      <td>North York</td>\n      <td>Bathurst Manor,Downsview North,Wilson Heights</td>\n      <td>43.754328</td>\n      <td>-79.442259</td>\n      <td>1.0</td>\n      <td>Coffee Shop</td>\n      <td>Supermarket</td>\n      <td>Middle Eastern Restaurant</td>\n      <td>Pharmacy</td>\n      <td>Deli / Bodega</td>\n      <td>Restaurant</td>\n      <td>Diner</td>\n      <td>Sandwich Place</td>\n      <td>Bridal Shop</td>\n      <td>Shopping Mall</td>\n    </tr>\n    <tr>\n      <th>12</th>\n      <td>M3J</td>\n      <td>North York</td>\n      <td>Northwood Park,York University</td>\n      <td>43.767980</td>\n      <td>-79.487262</td>\n      <td>1.0</td>\n      <td>Coffee Shop</td>\n      <td>Furniture / Home Store</td>\n      <td>Caribbean Restaurant</td>\n      <td>Massage Studio</td>\n      <td>Bar</td>\n      <td>Falafel Restaurant</td>\n      <td>Frozen Yogurt Shop</td>\n      <td>Fried Chicken Joint</td>\n      <td>Convenience Store</td>\n      <td>Cosmetics Shop</td>\n    </tr>\n    <tr>\n      <th>13</th>\n      <td>M3K</td>\n      <td>North York</td>\n      <td>CFB Toronto,Downsview East</td>\n      <td>43.737473</td>\n      <td>-79.464763</td>\n      <td>3.0</td>\n      <td>Snack Place</td>\n      <td>Airport</td>\n      <td>Park</td>\n      <td>Women's Store</td>\n      <td>Construction &amp; Landscaping</td>\n      <td>Convenience Store</td>\n      <td>Cosmetics Shop</td>\n      <td>Deli / Bodega</td>\n      <td>Department Store</td>\n      <td>Dim Sum Restaurant</td>\n    </tr>\n    <tr>\n      <th>14</th>\n      <td>M3L</td>\n      <td>North York</td>\n      <td>Downsview West</td>\n      <td>43.739015</td>\n      <td>-79.506944</td>\n      <td>1.0</td>\n      <td>Grocery Store</td>\n      <td>Park</td>\n      <td>Hotel</td>\n      <td>Bank</td>\n      <td>Shopping Mall</td>\n      <td>Electronics Store</td>\n      <td>Construction &amp; Landscaping</td>\n      <td>Convenience Store</td>\n      <td>Cosmetics Shop</td>\n      <td>Deli / Bodega</td>\n    </tr>\n    <tr>\n      <th>15</th>\n      <td>M3M</td>\n      <td>North York</td>\n      <td>Downsview Central</td>\n      <td>43.728496</td>\n      <td>-79.495697</td>\n      <td>4.0</td>\n      <td>Home Service</td>\n      <td>Business Service</td>\n      <td>Baseball Field</td>\n      <td>Food Truck</td>\n      <td>Women's Store</td>\n      <td>Event Space</td>\n      <td>Convenience Store</td>\n      <td>Cosmetics Shop</td>\n      <td>Deli / Bodega</td>\n      <td>Department Store</td>\n    </tr>\n    <tr>\n      <th>16</th>\n      <td>M3N</td>\n      <td>North York</td>\n      <td>Downsview Northwest</td>\n      <td>43.761631</td>\n      <td>-79.520999</td>\n      <td>1.0</td>\n      <td>Gym / Fitness Center</td>\n      <td>Athletics &amp; Sports</td>\n      <td>Discount Store</td>\n      <td>Grocery Store</td>\n      <td>Arts &amp; Crafts Store</td>\n      <td>Falafel Restaurant</td>\n      <td>Convenience Store</td>\n      <td>Cosmetics Shop</td>\n      <td>Deli / Bodega</td>\n      <td>Department Store</td>\n    </tr>\n    <tr>\n      <th>17</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      <td>1.0</td>\n      <td>Coffee Shop</td>\n      <td>Portuguese Restaurant</td>\n      <td>Hockey Arena</td>\n      <td>French Restaurant</td>\n      <td>Intersection</td>\n      <td>Pizza Place</td>\n      <td>Dog Run</td>\n      <td>Concert Hall</td>\n      <td>Construction &amp; Landscaping</td>\n      <td>Convenience Store</td>\n    </tr>\n    <tr>\n      <th>18</th>\n      <td>M5M</td>\n      <td>North York</td>\n      <td>Bedford Park,Lawrence Manor East</td>\n      <td>43.733283</td>\n      <td>-79.419750</td>\n      <td>1.0</td>\n      <td>Coffee Shop</td>\n      <td>Italian Restaurant</td>\n      <td>Indian Restaurant</td>\n      <td>Spa</td>\n      <td>Liquor Store</td>\n      <td>Pharmacy</td>\n      <td>Pizza Place</td>\n      <td>Caf\u00e9</td>\n      <td>Butcher</td>\n      <td>Juice Bar</td>\n    </tr>\n    <tr>\n      <th>19</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      <td>1.0</td>\n      <td>Furniture / Home Store</td>\n      <td>Accessories Store</td>\n      <td>Boutique</td>\n      <td>Gift Shop</td>\n      <td>Event Space</td>\n      <td>Miscellaneous Shop</td>\n      <td>Coffee Shop</td>\n      <td>Shoe Store</td>\n      <td>Clothing Store</td>\n      <td>Vietnamese Restaurant</td>\n    </tr>\n    <tr>\n      <th>20</th>\n      <td>M6B</td>\n      <td>North York</td>\n      <td>Glencairn</td>\n      <td>43.709577</td>\n      <td>-79.445073</td>\n      <td>3.0</td>\n      <td>Playground</td>\n      <td>Bakery</td>\n      <td>Park</td>\n      <td>Pub</td>\n      <td>Italian Restaurant</td>\n      <td>Japanese Restaurant</td>\n      <td>French Restaurant</td>\n      <td>Discount Store</td>\n      <td>Gift Shop</td>\n      <td>Construction &amp; Landscaping</td>\n    </tr>\n    <tr>\n      <th>21</th>\n      <td>M6L</td>\n      <td>North York</td>\n      <td>Downsview,North Park,Upwood Park</td>\n      <td>43.713756</td>\n      <td>-79.490074</td>\n      <td>3.0</td>\n      <td>Construction &amp; Landscaping</td>\n      <td>Park</td>\n      <td>Bakery</td>\n      <td>Basketball Court</td>\n      <td>Falafel Restaurant</td>\n      <td>Convenience Store</td>\n      <td>Cosmetics Shop</td>\n      <td>Deli / Bodega</td>\n      <td>Department Store</td>\n      <td>Dim Sum Restaurant</td>\n    </tr>\n    <tr>\n      <th>22</th>\n      <td>M9L</td>\n      <td>North York</td>\n      <td>Humber Summit</td>\n      <td>43.756303</td>\n      <td>-79.565963</td>\n      <td>2.0</td>\n      <td>Pizza Place</td>\n      <td>Event Space</td>\n      <td>Concert Hall</td>\n      <td>Construction &amp; Landscaping</td>\n      <td>Convenience Store</td>\n      <td>Cosmetics Shop</td>\n      <td>Deli / Bodega</td>\n      <td>Department Store</td>\n      <td>Dim Sum Restaurant</td>\n      <td>Diner</td>\n    </tr>\n    <tr>\n      <th>23</th>\n      <td>M9M</td>\n      <td>North York</td>\n      <td>Emery,Humberlea</td>\n      <td>43.724766</td>\n      <td>-79.532242</td>\n      <td>4.0</td>\n      <td>Paper / Office Supplies Store</td>\n      <td>Baseball Field</td>\n      <td>Women's Store</td>\n      <td>Event Space</td>\n      <td>Construction &amp; Landscaping</td>\n      <td>Convenience Store</td>\n      <td>Cosmetics Shop</td>\n      <td>Deli / Bodega</td>\n      <td>Department Store</td>\n      <td>Dim Sum Restaurant</td>\n    </tr>\n  </tbody>\n</table>\n</div>", 
                        "text/plain": "   Postcode     Borough                                  Neighbourhood  \\\n0       M2H  North York                              Hillcrest Village   \n1       M2J  North York                     Fairview,Henry Farm,Oriole   \n2       M2K  North York                                Bayview Village   \n5       M2N  North York                               Willowdale South   \n6       M2P  North York                                York Mills West   \n7       M2R  North York                                Willowdale West   \n8       M3A  North York                                      Parkwoods   \n9       M3B  North York                                Don Mills North   \n10      M3C  North York                Flemingdon Park,Don Mills South   \n11      M3H  North York  Bathurst Manor,Downsview North,Wilson Heights   \n12      M3J  North York                 Northwood Park,York University   \n13      M3K  North York                     CFB Toronto,Downsview East   \n14      M3L  North York                                 Downsview West   \n15      M3M  North York                              Downsview Central   \n16      M3N  North York                            Downsview Northwest   \n17      M4A  North York                               Victoria Village   \n18      M5M  North York               Bedford Park,Lawrence Manor East   \n19      M6A  North York                Lawrence Heights,Lawrence Manor   \n20      M6B  North York                                      Glencairn   \n21      M6L  North York               Downsview,North Park,Upwood Park   \n22      M9L  North York                                  Humber Summit   \n23      M9M  North York                                Emery,Humberlea   \n\n     Latitude  Longitude  Cluster Labels          1st Most Common Venue  \\\n0   43.803762 -79.363452             1.0                    Golf Course   \n1   43.778517 -79.346556             1.0                 Clothing Store   \n2   43.786947 -79.385975             3.0             Chinese Restaurant   \n5   43.770120 -79.408493             1.0                    Coffee Shop   \n6   43.752758 -79.400049             3.0              Convenience Store   \n7   43.782736 -79.442259             1.0                    Coffee Shop   \n8   43.753259 -79.329656             0.0                           Park   \n9   43.745906 -79.352188             3.0           Gym / Fitness Center   \n10  43.725900 -79.340923             1.0                    Coffee Shop   \n11  43.754328 -79.442259             1.0                    Coffee Shop   \n12  43.767980 -79.487262             1.0                    Coffee Shop   \n13  43.737473 -79.464763             3.0                    Snack Place   \n14  43.739015 -79.506944             1.0                  Grocery Store   \n15  43.728496 -79.495697             4.0                   Home Service   \n16  43.761631 -79.520999             1.0           Gym / Fitness Center   \n17  43.725882 -79.315572             1.0                    Coffee Shop   \n18  43.733283 -79.419750             1.0                    Coffee Shop   \n19  43.718518 -79.464763             1.0         Furniture / Home Store   \n20  43.709577 -79.445073             3.0                     Playground   \n21  43.713756 -79.490074             3.0     Construction & Landscaping   \n22  43.756303 -79.565963             2.0                    Pizza Place   \n23  43.724766 -79.532242             4.0  Paper / Office Supplies Store   \n\n     2nd Most Common Venue      3rd Most Common Venue  \\\n0                     Pool         Athletics & Sports   \n1     Fast Food Restaurant                Coffee Shop   \n2                     Caf\u00e9                       Bank   \n5         Ramen Restaurant                Pizza Place   \n6                     Park                       Bank   \n7              Pizza Place                   Pharmacy   \n8        Food & Drink Shop              Women's Store   \n9     Caribbean Restaurant                       Caf\u00e9   \n10                     Gym           Asian Restaurant   \n11             Supermarket  Middle Eastern Restaurant   \n12  Furniture / Home Store       Caribbean Restaurant   \n13                 Airport                       Park   \n14                    Park                      Hotel   \n15        Business Service             Baseball Field   \n16      Athletics & Sports             Discount Store   \n17   Portuguese Restaurant               Hockey Arena   \n18      Italian Restaurant          Indian Restaurant   \n19       Accessories Store                   Boutique   \n20                  Bakery                       Park   \n21                    Park                     Bakery   \n22             Event Space               Concert Hall   \n23          Baseball Field              Women's Store   \n\n         4th Most Common Venue       5th Most Common Venue  \\\n0     Mediterranean Restaurant                     Dog Run   \n1                Women's Store                      Bakery   \n2          Japanese Restaurant               Women's Store   \n5               Sandwich Place                  Restaurant   \n6                Women's Store                 Event Space   \n7                      Butcher              Discount Store   \n8                  Event Space  Construction & Landscaping   \n9             Basketball Court         Japanese Restaurant   \n10                  Beer Store                  Smoke Shop   \n11                    Pharmacy               Deli / Bodega   \n12              Massage Studio                         Bar   \n13               Women's Store  Construction & Landscaping   \n14                        Bank               Shopping Mall   \n15                  Food Truck               Women's Store   \n16               Grocery Store         Arts & Crafts Store   \n17           French Restaurant                Intersection   \n18                         Spa                Liquor Store   \n19                   Gift Shop                 Event Space   \n20                         Pub          Italian Restaurant   \n21            Basketball Court          Falafel Restaurant   \n22  Construction & Landscaping           Convenience Store   \n23                 Event Space  Construction & Landscaping   \n\n         6th Most Common Venue       7th Most Common Venue  \\\n0                Women's Store           Electronics Store   \n1          Japanese Restaurant                  Food Court   \n2                  Event Space           Convenience Store   \n5                         Caf\u00e9            Sushi Restaurant   \n6   Construction & Landscaping              Cosmetics Shop   \n7                Grocery Store         Fried Chicken Joint   \n8            Convenience Store              Cosmetics Shop   \n9                  Event Space           Convenience Store   \n10                   Bike Shop              Clothing Store   \n11                  Restaurant                       Diner   \n12          Falafel Restaurant          Frozen Yogurt Shop   \n13           Convenience Store              Cosmetics Shop   \n14           Electronics Store  Construction & Landscaping   \n15                 Event Space           Convenience Store   \n16          Falafel Restaurant           Convenience Store   \n17                 Pizza Place                     Dog Run   \n18                    Pharmacy                 Pizza Place   \n19          Miscellaneous Shop                 Coffee Shop   \n20         Japanese Restaurant           French Restaurant   \n21           Convenience Store              Cosmetics Shop   \n22              Cosmetics Shop               Deli / Bodega   \n23           Convenience Store              Cosmetics Shop   \n\n         8th Most Common Venue       9th Most Common Venue  \\\n0   Construction & Landscaping           Convenience Store   \n1                Deli / Bodega            Greek Restaurant   \n2               Cosmetics Shop               Deli / Bodega   \n5          Japanese Restaurant                   Pet Store   \n6                Deli / Bodega            Department Store   \n7            French Restaurant                 Golf Course   \n8                Deli / Bodega            Department Store   \n9               Cosmetics Shop               Deli / Bodega   \n10          Chinese Restaurant                        Caf\u00e9   \n11              Sandwich Place                 Bridal Shop   \n12         Fried Chicken Joint           Convenience Store   \n13               Deli / Bodega            Department Store   \n14           Convenience Store              Cosmetics Shop   \n15              Cosmetics Shop               Deli / Bodega   \n16              Cosmetics Shop               Deli / Bodega   \n17                Concert Hall  Construction & Landscaping   \n18                        Caf\u00e9                     Butcher   \n19                  Shoe Store              Clothing Store   \n20              Discount Store                   Gift Shop   \n21               Deli / Bodega            Department Store   \n22            Department Store          Dim Sum Restaurant   \n23               Deli / Bodega            Department Store   \n\n        10th Most Common Venue  \n0               Cosmetics Shop  \n1                    Gift Shop  \n2             Department Store  \n5                    Juice Bar  \n6           Dim Sum Restaurant  \n7                 Concert Hall  \n8           Dim Sum Restaurant  \n9             Department Store  \n10          Dim Sum Restaurant  \n11               Shopping Mall  \n12              Cosmetics Shop  \n13          Dim Sum Restaurant  \n14               Deli / Bodega  \n15            Department Store  \n16            Department Store  \n17           Convenience Store  \n18                   Juice Bar  \n19       Vietnamese Restaurant  \n20  Construction & Landscaping  \n21          Dim Sum Restaurant  \n22                       Diner  \n23          Dim Sum Restaurant  "
                    }, 
                    "output_type": "execute_result"
                }
            ], 
            "source": "NorthYork_merged_no_missing = NorthYork_merged.dropna()\nNorthYork_merged_no_missing\n"
        }, 
        {
            "execution_count": 137, 
            "cell_type": "code", 
            "metadata": {
                "scrolled": true
            }, 
            "outputs": [
                {
                    "execution_count": 137, 
                    "metadata": {}, 
                    "data": {
                        "text/html": "<div style=\"width:100%;\"><div style=\"position:relative;width:100%;height:0;padding-bottom:60%;\"><iframe src=\"data:text/html;charset=utf-8;base64,<!DOCTYPE html>
<head>    
    <meta http-equiv="content-type" content="text/html; charset=UTF-8" />
    <script>L_PREFER_CANVAS = false; L_NO_TOUCH = false; L_DISABLE_3D = false;</script>
    <script src="https://cdn.jsdelivr.net/npm/leaflet@1.2.0/dist/leaflet.js"></script>
    <script src="https://ajax.googleapis.com/ajax/libs/jquery/1.11.1/jquery.min.js"></script>
    <script src="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/js/bootstrap.min.js"></script>
    <script src="https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.js"></script>
    <link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/leaflet@1.2.0/dist/leaflet.css"/>
    <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap.min.css"/>
    <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap-theme.min.css"/>
    <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/font-awesome/4.6.3/css/font-awesome.min.css"/>
    <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.css"/>
    <link rel="stylesheet" href="https://rawgit.com/python-visualization/folium/master/folium/templates/leaflet.awesome.rotate.css"/>
    <style>html, body {width: 100%;height: 100%;margin: 0;padding: 0;}</style>
    <style>#map {position:absolute;top:0;bottom:0;right:0;left:0;}</style>
    
            <style> #map_a7bc1bcbe6b34f78948322716c43dcdf {
                position : relative;
                width : 100.0%;
                height: 100.0%;
                left: 0.0%;
                top: 0.0%;
                }
            </style>
        
</head>
<body>    
    
            <div class="folium-map" id="map_a7bc1bcbe6b34f78948322716c43dcdf" ></div>
        
</body>
<script>    
    

            
                var bounds = null;
            

            var map_a7bc1bcbe6b34f78948322716c43dcdf = L.map(
                                  'map_a7bc1bcbe6b34f78948322716c43dcdf',
                                  {center: [43.761539,-79.411079],
                                  zoom: 11,
                                  maxBounds: bounds,
                                  layers: [],
                                  worldCopyJump: false,
                                  crs: L.CRS.EPSG3857
                                 });
            
        
    
            var tile_layer_86451ae7c90b4bb59dfce2c00eacf96a = L.tileLayer(
                'https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png',
                {
  "attribution": null,
  "detectRetina": false,
  "maxZoom": 18,
  "minZoom": 1,
  "noWrap": false,
  "subdomains": "abc"
}
                ).addTo(map_a7bc1bcbe6b34f78948322716c43dcdf);
        
    
            var circle_marker_3aad30ccaedf418ba1205ffca4d1c859 = L.circleMarker(
                [43.8037622,-79.3634517],
                {
  "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_a7bc1bcbe6b34f78948322716c43dcdf);
            
    
            var popup_a805911895014a4d93b7e2b1c6297b01 = L.popup({maxWidth: '300'});

            
                var html_6b5e32ce4a1b43e0bcf64a907006af77 = $('<div id="html_6b5e32ce4a1b43e0bcf64a907006af77" style="width: 100.0%; height: 100.0%;">Hillcrest Village Cluster 1.0</div>')[0];
                popup_a805911895014a4d93b7e2b1c6297b01.setContent(html_6b5e32ce4a1b43e0bcf64a907006af77);
            

            circle_marker_3aad30ccaedf418ba1205ffca4d1c859.bindPopup(popup_a805911895014a4d93b7e2b1c6297b01);

            
        
    
            var circle_marker_298916e915b14f5f87d13613e315c99f = L.circleMarker(
                [43.7785175,-79.3465557],
                {
  "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_a7bc1bcbe6b34f78948322716c43dcdf);
            
    
            var popup_43c8bb7f06a34c05a57b85d0779b1ed5 = L.popup({maxWidth: '300'});

            
                var html_0d6a8118f3e8461bbb94c83455ddc43b = $('<div id="html_0d6a8118f3e8461bbb94c83455ddc43b" style="width: 100.0%; height: 100.0%;">Fairview,Henry Farm,Oriole Cluster 1.0</div>')[0];
                popup_43c8bb7f06a34c05a57b85d0779b1ed5.setContent(html_0d6a8118f3e8461bbb94c83455ddc43b);
            

            circle_marker_298916e915b14f5f87d13613e315c99f.bindPopup(popup_43c8bb7f06a34c05a57b85d0779b1ed5);

            
        
    
            var circle_marker_c0abdf4f03dc40178a13ce79f3f8fb91 = L.circleMarker(
                [43.7869473,-79.385975],
                {
  "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_a7bc1bcbe6b34f78948322716c43dcdf);
            
    
            var popup_c47296b60683498c8f89ab5522a0a39e = L.popup({maxWidth: '300'});

            
                var html_b94e5cc8651140248bdb90c36756db61 = $('<div id="html_b94e5cc8651140248bdb90c36756db61" style="width: 100.0%; height: 100.0%;">Bayview Village Cluster 3.0</div>')[0];
                popup_c47296b60683498c8f89ab5522a0a39e.setContent(html_b94e5cc8651140248bdb90c36756db61);
            

            circle_marker_c0abdf4f03dc40178a13ce79f3f8fb91.bindPopup(popup_c47296b60683498c8f89ab5522a0a39e);

            
        
    
            var circle_marker_3ac4d86b2ab1427391a4bd7e9bc41277 = L.circleMarker(
                [43.8037622,-79.3634517],
                {
  "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_a7bc1bcbe6b34f78948322716c43dcdf);
            
    
            var popup_2d307112966740f886c40fa38b8c8175 = L.popup({maxWidth: '300'});

            
                var html_a3ecb9370d7040e6955e7f71325c2e77 = $('<div id="html_a3ecb9370d7040e6955e7f71325c2e77" style="width: 100.0%; height: 100.0%;">Hillcrest Village Cluster 1.0</div>')[0];
                popup_2d307112966740f886c40fa38b8c8175.setContent(html_a3ecb9370d7040e6955e7f71325c2e77);
            

            circle_marker_3ac4d86b2ab1427391a4bd7e9bc41277.bindPopup(popup_2d307112966740f886c40fa38b8c8175);

            
        
    
            var circle_marker_c1c4137ec68b452e8ab076b6b876060b = L.circleMarker(
                [43.7785175,-79.3465557],
                {
  "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_a7bc1bcbe6b34f78948322716c43dcdf);
            
    
            var popup_d316c8352b904225a037973d001934b5 = L.popup({maxWidth: '300'});

            
                var html_07a557c005ab41fa8977c842c6391a58 = $('<div id="html_07a557c005ab41fa8977c842c6391a58" style="width: 100.0%; height: 100.0%;">Fairview,Henry Farm,Oriole Cluster 1.0</div>')[0];
                popup_d316c8352b904225a037973d001934b5.setContent(html_07a557c005ab41fa8977c842c6391a58);
            

            circle_marker_c1c4137ec68b452e8ab076b6b876060b.bindPopup(popup_d316c8352b904225a037973d001934b5);

            
        
    
            var circle_marker_78206442840347d78177f29499b3e5e1 = L.circleMarker(
                [43.7869473,-79.385975],
                {
  "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_a7bc1bcbe6b34f78948322716c43dcdf);
            
    
            var popup_9abc1c41a8b842cf8e0c2e8b1254892d = L.popup({maxWidth: '300'});

            
                var html_e601934b21ac4aec877e667352fb3282 = $('<div id="html_e601934b21ac4aec877e667352fb3282" style="width: 100.0%; height: 100.0%;">Bayview Village Cluster 3.0</div>')[0];
                popup_9abc1c41a8b842cf8e0c2e8b1254892d.setContent(html_e601934b21ac4aec877e667352fb3282);
            

            circle_marker_78206442840347d78177f29499b3e5e1.bindPopup(popup_9abc1c41a8b842cf8e0c2e8b1254892d);

            
        
    
            var circle_marker_da68e1e29744480a85234d06fc1d02ad = L.circleMarker(
                [43.7701199,-79.40849279999999],
                {
  "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_a7bc1bcbe6b34f78948322716c43dcdf);
            
    
            var popup_c7b1a87f8acc4d3dac23fcf3ca5f05e5 = L.popup({maxWidth: '300'});

            
                var html_37e84945306949cfbd96f8d30416c2cf = $('<div id="html_37e84945306949cfbd96f8d30416c2cf" style="width: 100.0%; height: 100.0%;">Willowdale South Cluster 1.0</div>')[0];
                popup_c7b1a87f8acc4d3dac23fcf3ca5f05e5.setContent(html_37e84945306949cfbd96f8d30416c2cf);
            

            circle_marker_da68e1e29744480a85234d06fc1d02ad.bindPopup(popup_c7b1a87f8acc4d3dac23fcf3ca5f05e5);

            
        
    
            var circle_marker_fef24b97f2284b61bfc86d79f3e6ae84 = L.circleMarker(
                [43.752758299999996,-79.4000493],
                {
  "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_a7bc1bcbe6b34f78948322716c43dcdf);
            
    
            var popup_cfbf61c82940425da6d00aaf3637dcc2 = L.popup({maxWidth: '300'});

            
                var html_5e12c9abb9774fc88118c276724a455e = $('<div id="html_5e12c9abb9774fc88118c276724a455e" style="width: 100.0%; height: 100.0%;">York Mills West Cluster 3.0</div>')[0];
                popup_cfbf61c82940425da6d00aaf3637dcc2.setContent(html_5e12c9abb9774fc88118c276724a455e);
            

            circle_marker_fef24b97f2284b61bfc86d79f3e6ae84.bindPopup(popup_cfbf61c82940425da6d00aaf3637dcc2);

            
        
    
            var circle_marker_335338d0f9a54f3a91ef4cb2078f087f = L.circleMarker(
                [43.7827364,-79.4422593],
                {
  "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_a7bc1bcbe6b34f78948322716c43dcdf);
            
    
            var popup_17372c7072b842009632e83d8f0ad647 = L.popup({maxWidth: '300'});

            
                var html_94779462a43b48d89e85167fd3f00b1b = $('<div id="html_94779462a43b48d89e85167fd3f00b1b" style="width: 100.0%; height: 100.0%;">Willowdale West Cluster 1.0</div>')[0];
                popup_17372c7072b842009632e83d8f0ad647.setContent(html_94779462a43b48d89e85167fd3f00b1b);
            

            circle_marker_335338d0f9a54f3a91ef4cb2078f087f.bindPopup(popup_17372c7072b842009632e83d8f0ad647);

            
        
    
            var circle_marker_04c56a2b0d9c4439a772da017ebc0048 = L.circleMarker(
                [43.7532586,-79.3296565],
                {
  "bubblingMouseEvents": true,
  "color": "#ff0000",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#ff0000",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_a7bc1bcbe6b34f78948322716c43dcdf);
            
    
            var popup_b5f8b49c128246dfae6a482827922e52 = L.popup({maxWidth: '300'});

            
                var html_a61d93df238147338ec67ae5a4c19da3 = $('<div id="html_a61d93df238147338ec67ae5a4c19da3" style="width: 100.0%; height: 100.0%;">Parkwoods Cluster 0.0</div>')[0];
                popup_b5f8b49c128246dfae6a482827922e52.setContent(html_a61d93df238147338ec67ae5a4c19da3);
            

            circle_marker_04c56a2b0d9c4439a772da017ebc0048.bindPopup(popup_b5f8b49c128246dfae6a482827922e52);

            
        
    
            var circle_marker_fd9b8dba895a4c0a9605f3a7e3ee48ee = L.circleMarker(
                [43.745905799999996,-79.352188],
                {
  "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_a7bc1bcbe6b34f78948322716c43dcdf);
            
    
            var popup_1b362b2fa22b414497c80eed77e9f57e = L.popup({maxWidth: '300'});

            
                var html_12d211c5bfec4cd48fae274b254e026a = $('<div id="html_12d211c5bfec4cd48fae274b254e026a" style="width: 100.0%; height: 100.0%;">Don Mills North Cluster 3.0</div>')[0];
                popup_1b362b2fa22b414497c80eed77e9f57e.setContent(html_12d211c5bfec4cd48fae274b254e026a);
            

            circle_marker_fd9b8dba895a4c0a9605f3a7e3ee48ee.bindPopup(popup_1b362b2fa22b414497c80eed77e9f57e);

            
        
    
            var circle_marker_c9fbc1f69fc24f80b9dcb57869c6265a = L.circleMarker(
                [43.72589970000001,-79.340923],
                {
  "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_a7bc1bcbe6b34f78948322716c43dcdf);
            
    
            var popup_cbd828f0466047f0a7b9d71d291b4639 = L.popup({maxWidth: '300'});

            
                var html_ce9587655ab24d2a867c0d89ae1e51ea = $('<div id="html_ce9587655ab24d2a867c0d89ae1e51ea" style="width: 100.0%; height: 100.0%;">Flemingdon Park,Don Mills South Cluster 1.0</div>')[0];
                popup_cbd828f0466047f0a7b9d71d291b4639.setContent(html_ce9587655ab24d2a867c0d89ae1e51ea);
            

            circle_marker_c9fbc1f69fc24f80b9dcb57869c6265a.bindPopup(popup_cbd828f0466047f0a7b9d71d291b4639);

            
        
    
            var circle_marker_39ec5d5607a146868d6fef0020ba0838 = L.circleMarker(
                [43.7543283,-79.4422593],
                {
  "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_a7bc1bcbe6b34f78948322716c43dcdf);
            
    
            var popup_1bf737ef995a4ad980a4f44a6bed220b = L.popup({maxWidth: '300'});

            
                var html_717b8750a0dc48b1add6913e319773a6 = $('<div id="html_717b8750a0dc48b1add6913e319773a6" style="width: 100.0%; height: 100.0%;">Bathurst Manor,Downsview North,Wilson Heights Cluster 1.0</div>')[0];
                popup_1bf737ef995a4ad980a4f44a6bed220b.setContent(html_717b8750a0dc48b1add6913e319773a6);
            

            circle_marker_39ec5d5607a146868d6fef0020ba0838.bindPopup(popup_1bf737ef995a4ad980a4f44a6bed220b);

            
        
    
            var circle_marker_871a39bde03b4b8abb27c31427812695 = L.circleMarker(
                [43.7679803,-79.48726190000001],
                {
  "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_a7bc1bcbe6b34f78948322716c43dcdf);
            
    
            var popup_76757da478324645b64445bffc713c73 = L.popup({maxWidth: '300'});

            
                var html_830efa86c8964b7fb1a7d8749e07cfd3 = $('<div id="html_830efa86c8964b7fb1a7d8749e07cfd3" style="width: 100.0%; height: 100.0%;">Northwood Park,York University Cluster 1.0</div>')[0];
                popup_76757da478324645b64445bffc713c73.setContent(html_830efa86c8964b7fb1a7d8749e07cfd3);
            

            circle_marker_871a39bde03b4b8abb27c31427812695.bindPopup(popup_76757da478324645b64445bffc713c73);

            
        
    
            var circle_marker_02072ffef68e4f72aa9076238affc517 = L.circleMarker(
                [43.737473200000004,-79.46476329999999],
                {
  "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_a7bc1bcbe6b34f78948322716c43dcdf);
            
    
            var popup_31704ca8d77142c99272f41fbac5de40 = L.popup({maxWidth: '300'});

            
                var html_c82aabe6fd384dfcb4b7cd6f81dfe1f9 = $('<div id="html_c82aabe6fd384dfcb4b7cd6f81dfe1f9" style="width: 100.0%; height: 100.0%;">CFB Toronto,Downsview East Cluster 3.0</div>')[0];
                popup_31704ca8d77142c99272f41fbac5de40.setContent(html_c82aabe6fd384dfcb4b7cd6f81dfe1f9);
            

            circle_marker_02072ffef68e4f72aa9076238affc517.bindPopup(popup_31704ca8d77142c99272f41fbac5de40);

            
        
    
            var circle_marker_1a3a935d17554bc68aeaa251f5e5a55c = L.circleMarker(
                [43.7390146,-79.5069436],
                {
  "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_a7bc1bcbe6b34f78948322716c43dcdf);
            
    
            var popup_6ff489f4541049db8805de8736bdc5f9 = L.popup({maxWidth: '300'});

            
                var html_c2b90e8f11794f03b330a40cfe02aa01 = $('<div id="html_c2b90e8f11794f03b330a40cfe02aa01" style="width: 100.0%; height: 100.0%;">Downsview West Cluster 1.0</div>')[0];
                popup_6ff489f4541049db8805de8736bdc5f9.setContent(html_c2b90e8f11794f03b330a40cfe02aa01);
            

            circle_marker_1a3a935d17554bc68aeaa251f5e5a55c.bindPopup(popup_6ff489f4541049db8805de8736bdc5f9);

            
        
    
            var circle_marker_5dc4a19194384dd2ac291a4a25d19218 = L.circleMarker(
                [43.7284964,-79.49569740000001],
                {
  "bubblingMouseEvents": true,
  "color": "#ffb360",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#ffb360",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_a7bc1bcbe6b34f78948322716c43dcdf);
            
    
            var popup_63a669ee991f41abb30753cd545c1ca1 = L.popup({maxWidth: '300'});

            
                var html_6bc62cdd405e46dd98ba13e27abd42e1 = $('<div id="html_6bc62cdd405e46dd98ba13e27abd42e1" style="width: 100.0%; height: 100.0%;">Downsview Central Cluster 4.0</div>')[0];
                popup_63a669ee991f41abb30753cd545c1ca1.setContent(html_6bc62cdd405e46dd98ba13e27abd42e1);
            

            circle_marker_5dc4a19194384dd2ac291a4a25d19218.bindPopup(popup_63a669ee991f41abb30753cd545c1ca1);

            
        
    
            var circle_marker_855551a65f6d4047bdc22c522bf5b493 = L.circleMarker(
                [43.7616313,-79.52099940000001],
                {
  "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_a7bc1bcbe6b34f78948322716c43dcdf);
            
    
            var popup_8a2058e607a44e9fbe467a6152cb9e49 = L.popup({maxWidth: '300'});

            
                var html_c693adc81bba4602a4bdb620dd0573c8 = $('<div id="html_c693adc81bba4602a4bdb620dd0573c8" style="width: 100.0%; height: 100.0%;">Downsview Northwest Cluster 1.0</div>')[0];
                popup_8a2058e607a44e9fbe467a6152cb9e49.setContent(html_c693adc81bba4602a4bdb620dd0573c8);
            

            circle_marker_855551a65f6d4047bdc22c522bf5b493.bindPopup(popup_8a2058e607a44e9fbe467a6152cb9e49);

            
        
    
            var circle_marker_7b74da44c0b54da4850b6ea4aa97ee0a = L.circleMarker(
                [43.725882299999995,-79.31557159999998],
                {
  "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_a7bc1bcbe6b34f78948322716c43dcdf);
            
    
            var popup_faf92ed4526f4beea4abb01d4e9f5b7b = L.popup({maxWidth: '300'});

            
                var html_696e187617ac402395b1be7e624434e4 = $('<div id="html_696e187617ac402395b1be7e624434e4" style="width: 100.0%; height: 100.0%;">Victoria Village Cluster 1.0</div>')[0];
                popup_faf92ed4526f4beea4abb01d4e9f5b7b.setContent(html_696e187617ac402395b1be7e624434e4);
            

            circle_marker_7b74da44c0b54da4850b6ea4aa97ee0a.bindPopup(popup_faf92ed4526f4beea4abb01d4e9f5b7b);

            
        
    
            var circle_marker_3014031b27ca46fa97c84b55daf2a866 = L.circleMarker(
                [43.7332825,-79.4197497],
                {
  "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_a7bc1bcbe6b34f78948322716c43dcdf);
            
    
            var popup_ca3b448cbf72428db76ee8ccdcb44a5b = L.popup({maxWidth: '300'});

            
                var html_f2aade0d24144c00aad5a09fe4275f8a = $('<div id="html_f2aade0d24144c00aad5a09fe4275f8a" style="width: 100.0%; height: 100.0%;">Bedford Park,Lawrence Manor East Cluster 1.0</div>')[0];
                popup_ca3b448cbf72428db76ee8ccdcb44a5b.setContent(html_f2aade0d24144c00aad5a09fe4275f8a);
            

            circle_marker_3014031b27ca46fa97c84b55daf2a866.bindPopup(popup_ca3b448cbf72428db76ee8ccdcb44a5b);

            
        
    
            var circle_marker_b5ecc6bae57f4583a7d217b01924ae8f = L.circleMarker(
                [43.718517999999996,-79.46476329999999],
                {
  "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_a7bc1bcbe6b34f78948322716c43dcdf);
            
    
            var popup_2e7d9823d7cd4849a502f0e51c3408fb = L.popup({maxWidth: '300'});

            
                var html_2c5f0450ead446fcad6319ccc264c10c = $('<div id="html_2c5f0450ead446fcad6319ccc264c10c" style="width: 100.0%; height: 100.0%;">Lawrence Heights,Lawrence Manor Cluster 1.0</div>')[0];
                popup_2e7d9823d7cd4849a502f0e51c3408fb.setContent(html_2c5f0450ead446fcad6319ccc264c10c);
            

            circle_marker_b5ecc6bae57f4583a7d217b01924ae8f.bindPopup(popup_2e7d9823d7cd4849a502f0e51c3408fb);

            
        
    
            var circle_marker_a2cdbde426384b919cc6f7e503dd1da5 = L.circleMarker(
                [43.709577,-79.44507259999999],
                {
  "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_a7bc1bcbe6b34f78948322716c43dcdf);
            
    
            var popup_063b195eaee64e0c993e700684228a78 = L.popup({maxWidth: '300'});

            
                var html_2c4c641eb49f45be98e3b4f709b16dc9 = $('<div id="html_2c4c641eb49f45be98e3b4f709b16dc9" style="width: 100.0%; height: 100.0%;">Glencairn Cluster 3.0</div>')[0];
                popup_063b195eaee64e0c993e700684228a78.setContent(html_2c4c641eb49f45be98e3b4f709b16dc9);
            

            circle_marker_a2cdbde426384b919cc6f7e503dd1da5.bindPopup(popup_063b195eaee64e0c993e700684228a78);

            
        
    
            var circle_marker_92bd595e90a24f7b93984c30ac49a3f8 = L.circleMarker(
                [43.713756200000006,-79.4900738],
                {
  "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_a7bc1bcbe6b34f78948322716c43dcdf);
            
    
            var popup_b26ce8c7aefd4392881e2562d91b7ae8 = L.popup({maxWidth: '300'});

            
                var html_d0e7a29a74cc4cf0b6183541cdc963ba = $('<div id="html_d0e7a29a74cc4cf0b6183541cdc963ba" style="width: 100.0%; height: 100.0%;">Downsview,North Park,Upwood Park Cluster 3.0</div>')[0];
                popup_b26ce8c7aefd4392881e2562d91b7ae8.setContent(html_d0e7a29a74cc4cf0b6183541cdc963ba);
            

            circle_marker_92bd595e90a24f7b93984c30ac49a3f8.bindPopup(popup_b26ce8c7aefd4392881e2562d91b7ae8);

            
        
    
            var circle_marker_2e791c8d7b2c4202ba677f9040ea4fd4 = L.circleMarker(
                [43.7563033,-79.56596329999999],
                {
  "bubblingMouseEvents": true,
  "color": "#00b5eb",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#00b5eb",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_a7bc1bcbe6b34f78948322716c43dcdf);
            
    
            var popup_11f991aa8e6942c6ab834a00606321a3 = L.popup({maxWidth: '300'});

            
                var html_ec5c66dc92bb496f81372f2320de709a = $('<div id="html_ec5c66dc92bb496f81372f2320de709a" style="width: 100.0%; height: 100.0%;">Humber Summit Cluster 2.0</div>')[0];
                popup_11f991aa8e6942c6ab834a00606321a3.setContent(html_ec5c66dc92bb496f81372f2320de709a);
            

            circle_marker_2e791c8d7b2c4202ba677f9040ea4fd4.bindPopup(popup_11f991aa8e6942c6ab834a00606321a3);

            
        
    
            var circle_marker_af8a744343e34b9a9456a342989ae873 = L.circleMarker(
                [43.7247659,-79.53224240000002],
                {
  "bubblingMouseEvents": true,
  "color": "#ffb360",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#ffb360",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_a7bc1bcbe6b34f78948322716c43dcdf);
            
    
            var popup_68ab521dbaa6421aab666bfb3c973c2c = L.popup({maxWidth: '300'});

            
                var html_75e8471a0bcf4166b5e367d3d0aa3b8b = $('<div id="html_75e8471a0bcf4166b5e367d3d0aa3b8b" style="width: 100.0%; height: 100.0%;">Emery,Humberlea Cluster 4.0</div>')[0];
                popup_68ab521dbaa6421aab666bfb3c973c2c.setContent(html_75e8471a0bcf4166b5e367d3d0aa3b8b);
            

            circle_marker_af8a744343e34b9a9456a342989ae873.bindPopup(popup_68ab521dbaa6421aab666bfb3c973c2c);

            
        
</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 0x7fb654888080>"
                    }, 
                    "output_type": "execute_result"
                }
            ], 
            "source": "# add markers to the map\nmarkers_colors = []\nfor lat, lon, poi, cluster in zip(NorthYork_merged_no_missing['Latitude'], NorthYork_merged_no_missing['Longitude'], NorthYork_merged_no_missing['Neighbourhood'], NorthYork_merged_no_missing['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[int(cluster) -1],\n        fill=True,\n        fill_color=rainbow[int(cluster)-1],\n        fill_opacity=0.7).add_to(map_clusters)\n       \nmap_clusters"
        }, 
        {
            "source": "9. Examine Clusters", 
            "cell_type": "markdown", 
            "metadata": {}
        }, 
        {
            "source": "Cluster 1", 
            "cell_type": "markdown", 
            "metadata": {}
        }, 
        {
            "execution_count": 138, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [
                {
                    "execution_count": 138, 
                    "metadata": {}, 
                    "data": {
                        "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Borough</th>\n      <th>Cluster Labels</th>\n      <th>1st Most Common Venue</th>\n      <th>2nd Most Common Venue</th>\n      <th>3rd Most Common Venue</th>\n      <th>4th Most Common Venue</th>\n      <th>5th Most Common Venue</th>\n      <th>6th Most Common Venue</th>\n      <th>7th Most Common Venue</th>\n      <th>8th Most Common Venue</th>\n      <th>9th Most Common Venue</th>\n      <th>10th Most Common Venue</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>8</th>\n      <td>North York</td>\n      <td>0.0</td>\n      <td>Park</td>\n      <td>Food &amp; Drink Shop</td>\n      <td>Women's Store</td>\n      <td>Event Space</td>\n      <td>Construction &amp; Landscaping</td>\n      <td>Convenience Store</td>\n      <td>Cosmetics Shop</td>\n      <td>Deli / Bodega</td>\n      <td>Department Store</td>\n      <td>Dim Sum Restaurant</td>\n    </tr>\n  </tbody>\n</table>\n</div>", 
                        "text/plain": "      Borough  Cluster Labels 1st Most Common Venue 2nd Most Common Venue  \\\n8  North York             0.0                  Park     Food & Drink Shop   \n\n  3rd Most Common Venue 4th Most Common Venue       5th Most Common Venue  \\\n8         Women's Store           Event Space  Construction & Landscaping   \n\n  6th Most Common Venue 7th Most Common Venue 8th Most Common Venue  \\\n8     Convenience Store        Cosmetics Shop         Deli / Bodega   \n\n  9th Most Common Venue 10th Most Common Venue  \n8      Department Store     Dim Sum Restaurant  "
                    }, 
                    "output_type": "execute_result"
                }
            ], 
            "source": "NorthYork_merged_no_missing.loc[NorthYork_merged_no_missing['Cluster Labels'] == 0, NorthYork_merged_no_missing.columns[[1] + list(range(5, NorthYork_merged_no_missing.shape[1]))]]"
        }, 
        {
            "source": "Cluster 2", 
            "cell_type": "markdown", 
            "metadata": {}
        }, 
        {
            "execution_count": 139, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [
                {
                    "execution_count": 139, 
                    "metadata": {}, 
                    "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>North York</td>\n      <td>1.0</td>\n      <td>Golf Course</td>\n      <td>Pool</td>\n      <td>Athletics &amp; Sports</td>\n      <td>Mediterranean Restaurant</td>\n      <td>Dog Run</td>\n      <td>Women's Store</td>\n      <td>Electronics Store</td>\n      <td>Construction &amp; Landscaping</td>\n      <td>Convenience Store</td>\n      <td>Cosmetics Shop</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>North York</td>\n      <td>1.0</td>\n      <td>Clothing Store</td>\n      <td>Fast Food Restaurant</td>\n      <td>Coffee Shop</td>\n      <td>Women's Store</td>\n      <td>Bakery</td>\n      <td>Japanese Restaurant</td>\n      <td>Food Court</td>\n      <td>Deli / Bodega</td>\n      <td>Greek Restaurant</td>\n      <td>Gift Shop</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>North York</td>\n      <td>1.0</td>\n      <td>Coffee Shop</td>\n      <td>Ramen Restaurant</td>\n      <td>Pizza Place</td>\n      <td>Sandwich Place</td>\n      <td>Restaurant</td>\n      <td>Caf\u00e9</td>\n      <td>Sushi Restaurant</td>\n      <td>Japanese Restaurant</td>\n      <td>Pet Store</td>\n      <td>Juice Bar</td>\n    </tr>\n    <tr>\n      <th>7</th>\n      <td>North York</td>\n      <td>1.0</td>\n      <td>Coffee Shop</td>\n      <td>Pizza Place</td>\n      <td>Pharmacy</td>\n      <td>Butcher</td>\n      <td>Discount Store</td>\n      <td>Grocery Store</td>\n      <td>Fried Chicken Joint</td>\n      <td>French Restaurant</td>\n      <td>Golf Course</td>\n      <td>Concert Hall</td>\n    </tr>\n    <tr>\n      <th>10</th>\n      <td>North York</td>\n      <td>1.0</td>\n      <td>Coffee Shop</td>\n      <td>Gym</td>\n      <td>Asian Restaurant</td>\n      <td>Beer Store</td>\n      <td>Smoke Shop</td>\n      <td>Bike Shop</td>\n      <td>Clothing Store</td>\n      <td>Chinese Restaurant</td>\n      <td>Caf\u00e9</td>\n      <td>Dim Sum Restaurant</td>\n    </tr>\n    <tr>\n      <th>11</th>\n      <td>North York</td>\n      <td>1.0</td>\n      <td>Coffee Shop</td>\n      <td>Supermarket</td>\n      <td>Middle Eastern Restaurant</td>\n      <td>Pharmacy</td>\n      <td>Deli / Bodega</td>\n      <td>Restaurant</td>\n      <td>Diner</td>\n      <td>Sandwich Place</td>\n      <td>Bridal Shop</td>\n      <td>Shopping Mall</td>\n    </tr>\n    <tr>\n      <th>12</th>\n      <td>North York</td>\n      <td>1.0</td>\n      <td>Coffee Shop</td>\n      <td>Furniture / Home Store</td>\n      <td>Caribbean Restaurant</td>\n      <td>Massage Studio</td>\n      <td>Bar</td>\n      <td>Falafel Restaurant</td>\n      <td>Frozen Yogurt Shop</td>\n      <td>Fried Chicken Joint</td>\n      <td>Convenience Store</td>\n      <td>Cosmetics Shop</td>\n    </tr>\n    <tr>\n      <th>14</th>\n      <td>North York</td>\n      <td>1.0</td>\n      <td>Grocery Store</td>\n      <td>Park</td>\n      <td>Hotel</td>\n      <td>Bank</td>\n      <td>Shopping Mall</td>\n      <td>Electronics Store</td>\n      <td>Construction &amp; Landscaping</td>\n      <td>Convenience Store</td>\n      <td>Cosmetics Shop</td>\n      <td>Deli / Bodega</td>\n    </tr>\n    <tr>\n      <th>16</th>\n      <td>North York</td>\n      <td>1.0</td>\n      <td>Gym / Fitness Center</td>\n      <td>Athletics &amp; Sports</td>\n      <td>Discount Store</td>\n      <td>Grocery Store</td>\n      <td>Arts &amp; Crafts Store</td>\n      <td>Falafel Restaurant</td>\n      <td>Convenience Store</td>\n      <td>Cosmetics Shop</td>\n      <td>Deli / Bodega</td>\n      <td>Department Store</td>\n    </tr>\n    <tr>\n      <th>17</th>\n      <td>North York</td>\n      <td>1.0</td>\n      <td>Coffee Shop</td>\n      <td>Portuguese Restaurant</td>\n      <td>Hockey Arena</td>\n      <td>French Restaurant</td>\n      <td>Intersection</td>\n      <td>Pizza Place</td>\n      <td>Dog Run</td>\n      <td>Concert Hall</td>\n      <td>Construction &amp; Landscaping</td>\n      <td>Convenience Store</td>\n    </tr>\n    <tr>\n      <th>18</th>\n      <td>North York</td>\n      <td>1.0</td>\n      <td>Coffee Shop</td>\n      <td>Italian Restaurant</td>\n      <td>Indian Restaurant</td>\n      <td>Spa</td>\n      <td>Liquor Store</td>\n      <td>Pharmacy</td>\n      <td>Pizza Place</td>\n      <td>Caf\u00e9</td>\n      <td>Butcher</td>\n      <td>Juice Bar</td>\n    </tr>\n    <tr>\n      <th>19</th>\n      <td>North York</td>\n      <td>1.0</td>\n      <td>Furniture / Home Store</td>\n      <td>Accessories Store</td>\n      <td>Boutique</td>\n      <td>Gift Shop</td>\n      <td>Event Space</td>\n      <td>Miscellaneous Shop</td>\n      <td>Coffee Shop</td>\n      <td>Shoe Store</td>\n      <td>Clothing Store</td>\n      <td>Vietnamese Restaurant</td>\n    </tr>\n  </tbody>\n</table>\n</div>", 
                        "text/plain": "       Borough  Cluster Labels   1st Most Common Venue  \\\n0   North York             1.0             Golf Course   \n1   North York             1.0          Clothing Store   \n5   North York             1.0             Coffee Shop   \n7   North York             1.0             Coffee Shop   \n10  North York             1.0             Coffee Shop   \n11  North York             1.0             Coffee Shop   \n12  North York             1.0             Coffee Shop   \n14  North York             1.0           Grocery Store   \n16  North York             1.0    Gym / Fitness Center   \n17  North York             1.0             Coffee Shop   \n18  North York             1.0             Coffee Shop   \n19  North York             1.0  Furniture / Home Store   \n\n     2nd Most Common Venue      3rd Most Common Venue  \\\n0                     Pool         Athletics & Sports   \n1     Fast Food Restaurant                Coffee Shop   \n5         Ramen Restaurant                Pizza Place   \n7              Pizza Place                   Pharmacy   \n10                     Gym           Asian Restaurant   \n11             Supermarket  Middle Eastern Restaurant   \n12  Furniture / Home Store       Caribbean Restaurant   \n14                    Park                      Hotel   \n16      Athletics & Sports             Discount Store   \n17   Portuguese Restaurant               Hockey Arena   \n18      Italian Restaurant          Indian Restaurant   \n19       Accessories Store                   Boutique   \n\n       4th Most Common Venue 5th Most Common Venue 6th Most Common Venue  \\\n0   Mediterranean Restaurant               Dog Run         Women's Store   \n1              Women's Store                Bakery   Japanese Restaurant   \n5             Sandwich Place            Restaurant                  Caf\u00e9   \n7                    Butcher        Discount Store         Grocery Store   \n10                Beer Store            Smoke Shop             Bike Shop   \n11                  Pharmacy         Deli / Bodega            Restaurant   \n12            Massage Studio                   Bar    Falafel Restaurant   \n14                      Bank         Shopping Mall     Electronics Store   \n16             Grocery Store   Arts & Crafts Store    Falafel Restaurant   \n17         French Restaurant          Intersection           Pizza Place   \n18                       Spa          Liquor Store              Pharmacy   \n19                 Gift Shop           Event Space    Miscellaneous Shop   \n\n         7th Most Common Venue       8th Most Common Venue  \\\n0            Electronics Store  Construction & Landscaping   \n1                   Food Court               Deli / Bodega   \n5             Sushi Restaurant         Japanese Restaurant   \n7          Fried Chicken Joint           French Restaurant   \n10              Clothing Store          Chinese Restaurant   \n11                       Diner              Sandwich Place   \n12          Frozen Yogurt Shop         Fried Chicken Joint   \n14  Construction & Landscaping           Convenience Store   \n16           Convenience Store              Cosmetics Shop   \n17                     Dog Run                Concert Hall   \n18                 Pizza Place                        Caf\u00e9   \n19                 Coffee Shop                  Shoe Store   \n\n         9th Most Common Venue 10th Most Common Venue  \n0            Convenience Store         Cosmetics Shop  \n1             Greek Restaurant              Gift Shop  \n5                    Pet Store              Juice Bar  \n7                  Golf Course           Concert Hall  \n10                        Caf\u00e9     Dim Sum Restaurant  \n11                 Bridal Shop          Shopping Mall  \n12           Convenience Store         Cosmetics Shop  \n14              Cosmetics Shop          Deli / Bodega  \n16               Deli / Bodega       Department Store  \n17  Construction & Landscaping      Convenience Store  \n18                     Butcher              Juice Bar  \n19              Clothing Store  Vietnamese Restaurant  "
                    }, 
                    "output_type": "execute_result"
                }
            ], 
            "source": "NorthYork_merged_no_missing.loc[NorthYork_merged_no_missing['Cluster Labels'] == 1, NorthYork_merged_no_missing.columns[[1] + list(range(5, NorthYork_merged_no_missing.shape[1]))]]"
        }, 
        {
            "source": "Cluster 3", 
            "cell_type": "markdown", 
            "metadata": {}
        }, 
        {
            "execution_count": 140, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [
                {
                    "execution_count": 140, 
                    "metadata": {}, 
                    "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>22</th>\n      <td>North York</td>\n      <td>2.0</td>\n      <td>Pizza Place</td>\n      <td>Event Space</td>\n      <td>Concert Hall</td>\n      <td>Construction &amp; Landscaping</td>\n      <td>Convenience Store</td>\n      <td>Cosmetics Shop</td>\n      <td>Deli / Bodega</td>\n      <td>Department Store</td>\n      <td>Dim Sum Restaurant</td>\n      <td>Diner</td>\n    </tr>\n  </tbody>\n</table>\n</div>", 
                        "text/plain": "       Borough  Cluster Labels 1st Most Common Venue 2nd Most Common Venue  \\\n22  North York             2.0           Pizza Place           Event Space   \n\n   3rd Most Common Venue       4th Most Common Venue 5th Most Common Venue  \\\n22          Concert Hall  Construction & Landscaping     Convenience Store   \n\n   6th Most Common Venue 7th Most Common Venue 8th Most Common Venue  \\\n22        Cosmetics Shop         Deli / Bodega      Department Store   \n\n   9th Most Common Venue 10th Most Common Venue  \n22    Dim Sum Restaurant                  Diner  "
                    }, 
                    "output_type": "execute_result"
                }
            ], 
            "source": "NorthYork_merged_no_missing.loc[NorthYork_merged_no_missing['Cluster Labels'] == 2, NorthYork_merged_no_missing.columns[[1] + list(range(5, NorthYork_merged_no_missing.shape[1]))]]"
        }, 
        {
            "source": "Cluster 4", 
            "cell_type": "markdown", 
            "metadata": {}
        }, 
        {
            "execution_count": 141, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [
                {
                    "execution_count": 141, 
                    "metadata": {}, 
                    "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>2</th>\n      <td>North York</td>\n      <td>3.0</td>\n      <td>Chinese Restaurant</td>\n      <td>Caf\u00e9</td>\n      <td>Bank</td>\n      <td>Japanese Restaurant</td>\n      <td>Women's Store</td>\n      <td>Event Space</td>\n      <td>Convenience Store</td>\n      <td>Cosmetics Shop</td>\n      <td>Deli / Bodega</td>\n      <td>Department Store</td>\n    </tr>\n    <tr>\n      <th>6</th>\n      <td>North York</td>\n      <td>3.0</td>\n      <td>Convenience Store</td>\n      <td>Park</td>\n      <td>Bank</td>\n      <td>Women's Store</td>\n      <td>Event Space</td>\n      <td>Construction &amp; Landscaping</td>\n      <td>Cosmetics Shop</td>\n      <td>Deli / Bodega</td>\n      <td>Department Store</td>\n      <td>Dim Sum Restaurant</td>\n    </tr>\n    <tr>\n      <th>9</th>\n      <td>North York</td>\n      <td>3.0</td>\n      <td>Gym / Fitness Center</td>\n      <td>Caribbean Restaurant</td>\n      <td>Caf\u00e9</td>\n      <td>Basketball Court</td>\n      <td>Japanese Restaurant</td>\n      <td>Event Space</td>\n      <td>Convenience Store</td>\n      <td>Cosmetics Shop</td>\n      <td>Deli / Bodega</td>\n      <td>Department Store</td>\n    </tr>\n    <tr>\n      <th>13</th>\n      <td>North York</td>\n      <td>3.0</td>\n      <td>Snack Place</td>\n      <td>Airport</td>\n      <td>Park</td>\n      <td>Women's Store</td>\n      <td>Construction &amp; Landscaping</td>\n      <td>Convenience Store</td>\n      <td>Cosmetics Shop</td>\n      <td>Deli / Bodega</td>\n      <td>Department Store</td>\n      <td>Dim Sum Restaurant</td>\n    </tr>\n    <tr>\n      <th>20</th>\n      <td>North York</td>\n      <td>3.0</td>\n      <td>Playground</td>\n      <td>Bakery</td>\n      <td>Park</td>\n      <td>Pub</td>\n      <td>Italian Restaurant</td>\n      <td>Japanese Restaurant</td>\n      <td>French Restaurant</td>\n      <td>Discount Store</td>\n      <td>Gift Shop</td>\n      <td>Construction &amp; Landscaping</td>\n    </tr>\n    <tr>\n      <th>21</th>\n      <td>North York</td>\n      <td>3.0</td>\n      <td>Construction &amp; Landscaping</td>\n      <td>Park</td>\n      <td>Bakery</td>\n      <td>Basketball Court</td>\n      <td>Falafel Restaurant</td>\n      <td>Convenience Store</td>\n      <td>Cosmetics Shop</td>\n      <td>Deli / Bodega</td>\n      <td>Department Store</td>\n      <td>Dim Sum Restaurant</td>\n    </tr>\n  </tbody>\n</table>\n</div>", 
                        "text/plain": "       Borough  Cluster Labels       1st Most Common Venue  \\\n2   North York             3.0          Chinese Restaurant   \n6   North York             3.0           Convenience Store   \n9   North York             3.0        Gym / Fitness Center   \n13  North York             3.0                 Snack Place   \n20  North York             3.0                  Playground   \n21  North York             3.0  Construction & Landscaping   \n\n   2nd Most Common Venue 3rd Most Common Venue 4th Most Common Venue  \\\n2                   Caf\u00e9                  Bank   Japanese Restaurant   \n6                   Park                  Bank         Women's Store   \n9   Caribbean Restaurant                  Caf\u00e9      Basketball Court   \n13               Airport                  Park         Women's Store   \n20                Bakery                  Park                   Pub   \n21                  Park                Bakery      Basketball Court   \n\n         5th Most Common Venue       6th Most Common Venue  \\\n2                Women's Store                 Event Space   \n6                  Event Space  Construction & Landscaping   \n9          Japanese Restaurant                 Event Space   \n13  Construction & Landscaping           Convenience Store   \n20          Italian Restaurant         Japanese Restaurant   \n21          Falafel Restaurant           Convenience Store   \n\n   7th Most Common Venue 8th Most Common Venue 9th Most Common Venue  \\\n2      Convenience Store        Cosmetics Shop         Deli / Bodega   \n6         Cosmetics Shop         Deli / Bodega      Department Store   \n9      Convenience Store        Cosmetics Shop         Deli / Bodega   \n13        Cosmetics Shop         Deli / Bodega      Department Store   \n20     French Restaurant        Discount Store             Gift Shop   \n21        Cosmetics Shop         Deli / Bodega      Department Store   \n\n        10th Most Common Venue  \n2             Department Store  \n6           Dim Sum Restaurant  \n9             Department Store  \n13          Dim Sum Restaurant  \n20  Construction & Landscaping  \n21          Dim Sum Restaurant  "
                    }, 
                    "output_type": "execute_result"
                }
            ], 
            "source": "NorthYork_merged_no_missing.loc[NorthYork_merged_no_missing['Cluster Labels'] == 3, NorthYork_merged_no_missing.columns[[1] + list(range(5, NorthYork_merged_no_missing.shape[1]))]]"
        }, 
        {
            "source": "Cluster 5", 
            "cell_type": "markdown", 
            "metadata": {}
        }, 
        {
            "execution_count": 142, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [
                {
                    "execution_count": 142, 
                    "metadata": {}, 
                    "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>15</th>\n      <td>North York</td>\n      <td>4.0</td>\n      <td>Home Service</td>\n      <td>Business Service</td>\n      <td>Baseball Field</td>\n      <td>Food Truck</td>\n      <td>Women's Store</td>\n      <td>Event Space</td>\n      <td>Convenience Store</td>\n      <td>Cosmetics Shop</td>\n      <td>Deli / Bodega</td>\n      <td>Department Store</td>\n    </tr>\n    <tr>\n      <th>23</th>\n      <td>North York</td>\n      <td>4.0</td>\n      <td>Paper / Office Supplies Store</td>\n      <td>Baseball Field</td>\n      <td>Women's Store</td>\n      <td>Event Space</td>\n      <td>Construction &amp; Landscaping</td>\n      <td>Convenience Store</td>\n      <td>Cosmetics Shop</td>\n      <td>Deli / Bodega</td>\n      <td>Department Store</td>\n      <td>Dim Sum Restaurant</td>\n    </tr>\n  </tbody>\n</table>\n</div>", 
                        "text/plain": "       Borough  Cluster Labels          1st Most Common Venue  \\\n15  North York             4.0                   Home Service   \n23  North York             4.0  Paper / Office Supplies Store   \n\n   2nd Most Common Venue 3rd Most Common Venue 4th Most Common Venue  \\\n15      Business Service        Baseball Field            Food Truck   \n23        Baseball Field         Women's Store           Event Space   \n\n         5th Most Common Venue 6th Most Common Venue 7th Most Common Venue  \\\n15               Women's Store           Event Space     Convenience Store   \n23  Construction & Landscaping     Convenience Store        Cosmetics Shop   \n\n   8th Most Common Venue 9th Most Common Venue 10th Most Common Venue  \n15        Cosmetics Shop         Deli / Bodega       Department Store  \n23         Deli / Bodega      Department Store     Dim Sum Restaurant  "
                    }, 
                    "output_type": "execute_result"
                }
            ], 
            "source": "NorthYork_merged_no_missing.loc[NorthYork_merged_no_missing['Cluster Labels'] == 4, NorthYork_merged_no_missing.columns[[1] + list(range(5, NorthYork_merged_no_missing.shape[1]))]]"
        }, 
        {
            "execution_count": null, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [], 
            "source": ""
        }, 
        {
            "execution_count": null, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [], 
            "source": ""
        }
    ], 
    "metadata": {
        "kernelspec": {
            "display_name": "Python 3.6", 
            "name": "python3", 
            "language": "python"
        }, 
        "language_info": {
            "mimetype": "text/x-python", 
            "nbconvert_exporter": "python", 
            "version": "3.6.8", 
            "name": "python", 
            "file_extension": ".py", 
            "pygments_lexer": "ipython3", 
            "codemirror_mode": {
                "version": 3, 
                "name": "ipython"
            }
        }
    }, 
    "nbformat": 4
}