In [1]:

    

import json

from bs4 import BeautifulSoup
import numpy as np


    

In [2]:

    

def read4json(file_path):
    "Read configuration data form json file and return a list"
    with open(file_path, 'r') as data_file:
        data = json.load(data_file)
    return data

def save2json(file_path, data):
    "Save configuration data to a json file"
    with open(file_path, 'w') as data_file:
        json.dump(data, data_file, indent=4)


    

In [3]:

    

# Abro el archivo y lo inicializo con BeautifulSoup
data_path = '../datos/crudos/salud.kml'

data = open(data_path).read()
bs = BeautifulSoup(data, "lxml")


    

In [4]:

    

# Extraigo los nombres y las coordinadas

names = [name.text for name in bs.find_all('name')][2:]
coordinates = [coord.text for coord in bs.find_all('coordinates')]


    

In [5]:

    

len(names), len(coordinates)


    

    
Out[5]:





(107, 107)

In [6]:

    

# las coordinadas tienen el valor en z y no lo necesito
coordinates[0]


    

    
Out[6]:





'-64.213899,-31.412584,0.0'

In [7]:

    

features = []

for name, coord in zip(names, coordinates):
    # elimino el parametro de z
    lat, lng, z = coord.split(',')
    
    new_element = {
        "geometry": {
            "coordinates": [float(lat), float(lng)],
            "type": "Point"
        },
        "type": "Feature",
        "properties": {
            "name": "Centro de Salud " + name,
            "type": "salud"
        }
    }
    
    features.append(new_element)


    

In [8]:

    

geojson = {
    "type": "FeatureCollection",
    "features": features
    }

save2json('../datos/salud.geojson', geojson)


    

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