robsalasco/Google Street View sampling from polygon.ipynb

## br.geojson

      
Display the source blob

    
Display the rendered blob

    
    Raw
  

              br.geojson
            
          
      Sorry, something went wrong. Reload?
      Sorry, we cannot display this file.
      Sorry, this file is invalid so it cannot be displayed.
      
          Viewer requires iframe.
      
    
## Google Street View sampling from polygon.ipynb
{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Id</th>\n",
       "      <th>BARRIO</th>\n",
       "      <th>CIUDAD</th>\n",
       "      <th>COMUNA</th>\n",
       "      <th>geometry</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>Villa Esperanza</td>\n",
       "      <td>Copiapó</td>\n",
       "      <td>Copiapó</td>\n",
       "      <td>POLYGON ((-70.31073096714138 -27.3696254183294...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Id           BARRIO   CIUDAD   COMUNA  \\\n",
       "0   0  Villa Esperanza  Copiapó  Copiapó   \n",
       "\n",
       "                                            geometry  \n",
       "0  POLYGON ((-70.31073096714138 -27.3696254183294...  "
      ]
     },
     "execution_count": 83,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import geopandas as gpd\n",
    "import matplotlib.pyplot as plt \n",
    "import numpy as np\n",
    "import math\n",
    "import pandas as pd\n",
    "from shapely.geometry import Point\n",
    "from shapely.geometry.polygon import Polygon\n",
    "\n",
    "%config InlineBackend.figure_format = 'retina'\n",
    "%matplotlib inline\n",
    "\n",
    "fname = \"br.geojson\"\n",
    "\n",
    "shp = gpd.read_file(fname)\n",
    "\n",
    "shp"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x11cf2f2b0>"
      ]
     },
     "execution_count": 84,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 585,
       "width": 671
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.rcParams['figure.figsize'] = (20, 10)\n",
    "\n",
    "shp.plot(color='red')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[[-70.31153258680925, -70.3064693762354],\n",
       " [-27.37412746463687, -27.36962541832947]]"
      ]
     },
     "execution_count": 85,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bb = [[shp.bounds['minx'].values[0], shp.bounds['maxx'].values[0]], [shp.bounds['miny'].values[0], shp.bounds['maxy'].values[0]]]\n",
    "\n",
    "bb\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>x</th>\n",
       "      <th>y</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>-70.311037</td>\n",
       "      <td>-27.373357</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>-70.310363</td>\n",
       "      <td>-27.373357</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>-70.309690</td>\n",
       "      <td>-27.373357</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>-70.309016</td>\n",
       "      <td>-27.373357</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>-70.308343</td>\n",
       "      <td>-27.373357</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>-70.307669</td>\n",
       "      <td>-27.373357</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>-70.306996</td>\n",
       "      <td>-27.373357</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>-70.306322</td>\n",
       "      <td>-27.373357</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>-70.310700</td>\n",
       "      <td>-27.372773</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>-70.310027</td>\n",
       "      <td>-27.372773</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>-70.309353</td>\n",
       "      <td>-27.372773</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>-70.308680</td>\n",
       "      <td>-27.372773</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>-70.308006</td>\n",
       "      <td>-27.372773</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>-70.307333</td>\n",
       "      <td>-27.372773</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>-70.306659</td>\n",
       "      <td>-27.372773</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>-70.305986</td>\n",
       "      <td>-27.372773</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>-70.311037</td>\n",
       "      <td>-27.372190</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>-70.310363</td>\n",
       "      <td>-27.372190</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>-70.309690</td>\n",
       "      <td>-27.372190</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>-70.309016</td>\n",
       "      <td>-27.372190</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>-70.308343</td>\n",
       "      <td>-27.372190</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>-70.307669</td>\n",
       "      <td>-27.372190</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>-70.306996</td>\n",
       "      <td>-27.372190</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>-70.306322</td>\n",
       "      <td>-27.372190</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>-70.310700</td>\n",
       "      <td>-27.371607</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>-70.310027</td>\n",
       "      <td>-27.371607</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>-70.309353</td>\n",
       "      <td>-27.371607</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>-70.308680</td>\n",
       "      <td>-27.371607</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>-70.308006</td>\n",
       "      <td>-27.371607</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>-70.307333</td>\n",
       "      <td>-27.371607</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>-70.309690</td>\n",
       "      <td>-27.371023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>-70.309016</td>\n",
       "      <td>-27.371023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>-70.308343</td>\n",
       "      <td>-27.371023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>-70.307669</td>\n",
       "      <td>-27.371023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>-70.306996</td>\n",
       "      <td>-27.371023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>-70.306322</td>\n",
       "      <td>-27.371023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>-70.310700</td>\n",
       "      <td>-27.370440</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>-70.310027</td>\n",
       "      <td>-27.370440</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>-70.309353</td>\n",
       "      <td>-27.370440</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>-70.308680</td>\n",
       "      <td>-27.370440</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>-70.308006</td>\n",
       "      <td>-27.370440</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>-70.307333</td>\n",
       "      <td>-27.370440</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>-70.306659</td>\n",
       "      <td>-27.370440</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>-70.305986</td>\n",
       "      <td>-27.370440</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>-70.311037</td>\n",
       "      <td>-27.369857</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>-70.310363</td>\n",
       "      <td>-27.369857</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>-70.309690</td>\n",
       "      <td>-27.369857</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>-70.309016</td>\n",
       "      <td>-27.369857</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>-70.308343</td>\n",
       "      <td>-27.369857</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>-70.307669</td>\n",
       "      <td>-27.369857</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>-70.306996</td>\n",
       "      <td>-27.369857</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>-70.306322</td>\n",
       "      <td>-27.369857</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>-70.310700</td>\n",
       "      <td>-27.369274</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>-70.310027</td>\n",
       "      <td>-27.369274</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>-70.309353</td>\n",
       "      <td>-27.369274</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>-70.308680</td>\n",
       "      <td>-27.369274</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>-70.308006</td>\n",
       "      <td>-27.369274</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>-70.307333</td>\n",
       "      <td>-27.369274</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>-70.306659</td>\n",
       "      <td>-27.369274</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>-70.305986</td>\n",
       "      <td>-27.369274</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>64 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            x          y\n",
       "0  -70.311037 -27.373357\n",
       "1  -70.310363 -27.373357\n",
       "2  -70.309690 -27.373357\n",
       "3  -70.309016 -27.373357\n",
       "4  -70.308343 -27.373357\n",
       "5  -70.307669 -27.373357\n",
       "6  -70.306996 -27.373357\n",
       "7  -70.306322 -27.373357\n",
       "8  -70.310700 -27.372773\n",
       "9  -70.310027 -27.372773\n",
       "10 -70.309353 -27.372773\n",
       "11 -70.308680 -27.372773\n",
       "12 -70.308006 -27.372773\n",
       "13 -70.307333 -27.372773\n",
       "14 -70.306659 -27.372773\n",
       "15 -70.305986 -27.372773\n",
       "16 -70.311037 -27.372190\n",
       "17 -70.310363 -27.372190\n",
       "18 -70.309690 -27.372190\n",
       "19 -70.309016 -27.372190\n",
       "20 -70.308343 -27.372190\n",
       "21 -70.307669 -27.372190\n",
       "22 -70.306996 -27.372190\n",
       "23 -70.306322 -27.372190\n",
       "24 -70.310700 -27.371607\n",
       "25 -70.310027 -27.371607\n",
       "26 -70.309353 -27.371607\n",
       "27 -70.308680 -27.371607\n",
       "28 -70.308006 -27.371607\n",
       "29 -70.307333 -27.371607\n",
       "..        ...        ...\n",
       "34 -70.309690 -27.371023\n",
       "35 -70.309016 -27.371023\n",
       "36 -70.308343 -27.371023\n",
       "37 -70.307669 -27.371023\n",
       "38 -70.306996 -27.371023\n",
       "39 -70.306322 -27.371023\n",
       "40 -70.310700 -27.370440\n",
       "41 -70.310027 -27.370440\n",
       "42 -70.309353 -27.370440\n",
       "43 -70.308680 -27.370440\n",
       "44 -70.308006 -27.370440\n",
       "45 -70.307333 -27.370440\n",
       "46 -70.306659 -27.370440\n",
       "47 -70.305986 -27.370440\n",
       "48 -70.311037 -27.369857\n",
       "49 -70.310363 -27.369857\n",
       "50 -70.309690 -27.369857\n",
       "51 -70.309016 -27.369857\n",
       "52 -70.308343 -27.369857\n",
       "53 -70.307669 -27.369857\n",
       "54 -70.306996 -27.369857\n",
       "55 -70.306322 -27.369857\n",
       "56 -70.310700 -27.369274\n",
       "57 -70.310027 -27.369274\n",
       "58 -70.309353 -27.369274\n",
       "59 -70.308680 -27.369274\n",
       "60 -70.308006 -27.369274\n",
       "61 -70.307333 -27.369274\n",
       "62 -70.306659 -27.369274\n",
       "63 -70.305986 -27.369274\n",
       "\n",
       "[64 rows x 2 columns]"
      ]
     },
     "execution_count": 86,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Check the values of the functions because they work different than R\n",
    "\n",
    "def genHexGrid(dx,ll,ur):\n",
    "    dy = math.sqrt(3) * dx / 2\n",
    "    x = np.arange(ll[0], ur[0] - dx / 2, dx)\n",
    "    y = np.arange(ll[1], ur[1], dy)\n",
    "    \n",
    "    y = np.repeat(y, len(x), axis=0)\n",
    "    x = np.resize(np.append(x, x + dx / 2).flatten(), len(y))\n",
    "    \n",
    "    x = x + (ur[0] - np.amax(x)) / 2\n",
    "    y = y + (ur[1] - np.amax(y)) / 2\n",
    "    \n",
    "    xy = pd.DataFrame({'x':x, 'y':y})\n",
    "    \n",
    "    return(xy)\n",
    "\n",
    "def hexGrid(n):\n",
    "    area = np.prod(np.array([[bb[0][1] - bb[0][0]],[bb[1][1] - bb[1][0]]]))/n\n",
    "    dx = math.sqrt(area)/(math.sqrt(3)/2)\n",
    "    xy = genHexGrid(dx, [bb[0][0],bb[1][0]], [bb[0][1],bb[1][1]])\n",
    "    \n",
    "    offset = np.random.random(2)\n",
    "    xy.x = xy.x + offset[0] * dx \n",
    "    xy.y = xy.y + offset[1] * dx * math.sqrt(3)/2\n",
    "\n",
    "    return xy\n",
    "\n",
    "n = 20\n",
    "table = hexGrid(math.ceil(n*(10/3)))\n",
    "table"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {},
   "outputs": [],
   "source": [
    "geometry = [Point(xy) for xy in zip(table.x, table.y)]\n",
    "df = table.drop(['x', 'y'], axis=1)\n",
    "crs = {'init': 'epsg:4326'}\n",
    "gdf = gpd.GeoDataFrame(df, crs=crs, geometry=geometry)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5,1,'Plot')"
      ]
     },
     "execution_count": 88,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 318,
       "width": 379
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = shp.plot(color='gray', figsize=(15,5))\n",
    "\n",
    "gdf.plot(marker=\"o\",\n",
    "        markersize=25,\n",
    "        color=\"black\", \n",
    "        ax=ax)\n",
    "_ = ax.axis('off')\n",
    "ax.set_title(\"Plot\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5,1,'Plot')"
      ]
     },
     "execution_count": 89,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 318,
       "width": 366
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "subset = gdf[gdf.intersects(shp.unary_union)]\n",
    "\n",
    "ax = shp.plot(color='gray', figsize=(15,5))\n",
    "\n",
    "subset.plot(marker=\"o\",\n",
    "        markersize=25,\n",
    "        color=\"black\", \n",
    "        ax=ax)\n",
    "_ = ax.axis('off')\n",
    "ax.set_title(\"Plot\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "metadata": {},
   "outputs": [],
   "source": [
    "pointspoly = pd.DataFrame({'x':subset.geometry.x.values, 'y':subset.geometry.y.values})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 610.204x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 340,
       "width": 423
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import osmnx as ox\n",
    "import networkx as nx\n",
    "import geojsonio\n",
    "import gpd_lite_toolbox as glt\n",
    "\n",
    "G1 = ox.graph_from_polygon(shp.geometry[0], network_type='drive_service')\n",
    "G1 = ox.project_graph(G1,to_crs={'init': 'epsg:4326'})\n",
    "fig, ax = ox.plot_graph(G1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {},
   "outputs": [],
   "source": [
    "nodes, edges = ox.graph_to_gdfs(G1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x11ce9fa58>"
      ]
     },
     "execution_count": 93,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 313,
       "width": 367
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "test = glt.snap_to_nearest(subset,edges)\n",
    "\n",
    "ax = shp.plot(color='gray', figsize=(15,5))\n",
    "edges.plot(ax=ax)\n",
    "test.plot(ax=ax,color=\"pink\")\n"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}