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jaircastruita/geopandas_folium

Created May 4, 2016 04:38
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geopandas_folium
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{
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"worksheets": [
{
"cells": [
{
"cell_type": "code",
"collapsed": false,
"input": [
"from geopandas import GeoDataFrame\n",
"import matplotlib.pyplot as plt\n",
"import pandas as pd\n",
"import numpy as np\n",
"%matplotlib inline"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 1
},
{
"cell_type": "code",
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"input": [
"path = r'D:\\ownCloud\\Documentos posgrado\\Posgrado 2do semestre\\INEGI shapefiles\\agebsymas\\scince\\shps\\df'\n",
"boros = GeoDataFrame.from_file(path+'\\\\df_servicios_a.shp')\n",
"agebs = GeoDataFrame.from_file(path+'\\\\df_ageb_urb.shp')"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 2
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"geo_boros = boros.to_json()\n",
"geo_agebs = agebs.to_json()"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 10
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"import folium"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 5
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"CDMX_COORDINATES = (19.4186, -99.1686) \n",
"\n",
"#create empty map zoomed in on Mexico City\n",
"station_coords = pd.read_csv('C:\\Users\\ghost\\Google Drive\\JairCastruitaGastelum\\Progress Reports\\Clustering_ECOBICI\\DATA\\estacion_coordenadas.csv')\n",
"map = folium.Map(location=CDMX_COORDINATES, tiles='Stamen Toner', zoom_start=14)"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 7
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"folium.GeoJson(geo_boros,\n",
" name='geojson'\n",
" ).add_to(map)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 12,
"text": [
"<folium.features.GeoJson at 0x116c3b70>"
]
}
],
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{
"cell_type": "code",
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"input": [
"station_coords"
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" <td>-99.171410</td>\n",
" <td>19.425600</td>\n",
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" <td>19.426460</td>\n",
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" <td>252</td>\n",
" <td>-99.177020</td>\n",
" <td>19.427575</td>\n",
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" <td>-99.177924</td>\n",
" <td>19.425835</td>\n",
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" <td>-99.160074</td>\n",
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" <td>-99.165099</td>\n",
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" <td>-99.154680</td>\n",
" <td>19.437569</td>\n",
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" <td>260</td>\n",
" <td>-99.148570</td>\n",
" <td>19.433013</td>\n",
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" <th>258</th>\n",
" <td>261</td>\n",
" <td>-99.175196</td>\n",
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" <td>262</td>\n",
" <td>-99.133952</td>\n",
" <td>19.436931</td>\n",
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" <th>260</th>\n",
" <td>263</td>\n",
" <td>-99.158425</td>\n",
" <td>19.436274</td>\n",
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" <td>264</td>\n",
" <td>-99.152935</td>\n",
" <td>19.440985</td>\n",
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" <td>19.440839</td>\n",
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" <th>263</th>\n",
" <td>266</td>\n",
" <td>-99.152187</td>\n",
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" <td>267</td>\n",
" <td>-99.179143</td>\n",
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" <th>265</th>\n",
" <td>268</td>\n",
" <td>-99.153082</td>\n",
" <td>19.444272</td>\n",
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" <tr>\n",
" <th>266</th>\n",
" <td>269</td>\n",
" <td>-99.152187</td>\n",
" <td>19.444031</td>\n",
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" <tr>\n",
" <th>267</th>\n",
" <td>270</td>\n",
" <td>-99.152640</td>\n",
" <td>19.444199</td>\n",
" </tr>\n",
" <tr>\n",
" <th>268</th>\n",
" <td>271</td>\n",
" <td>-99.152894</td>\n",
" <td>19.444244</td>\n",
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" <tr>\n",
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" <td>275</td>\n",
" <td>-99.153865</td>\n",
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" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>273 rows \u00d7 3 columns</p>\n",
"</div>"
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"text": [
" id longitud latitud\n",
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"2 3 -99.158750 19.431660\n",
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"18 19 -99.161600 19.430070\n",
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"25 26 -99.155000 19.432600\n",
"26 27 -99.162700 19.429160\n",
"27 28 -99.172570 19.423660\n",
"28 29 -99.150300 19.434940\n",
"29 30 -99.164260 19.426380\n",
".. ... ... ...\n",
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"248 251 -99.175380 19.429261\n",
"249 252 -99.177020 19.427575\n",
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"252 255 -99.165099 19.437880\n",
"253 256 -99.158313 19.437167\n",
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"267 270 -99.152640 19.444199\n",
"268 271 -99.152894 19.444244\n",
"269 272 -99.152265 19.440839\n",
"270 273 -99.152935 19.440985\n",
"271 274 -99.158425 19.436274\n",
"272 275 -99.153865 19.436764\n",
"\n",
"[273 rows x 3 columns]"
]
}
],
"prompt_number": 17
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"map"
],
"language": "python",
"metadata": {},
"outputs": [
{
"html": [
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