In [2]:

    

import emapy as epy


    

In [4]:

    

T = epy.getDatabase('barris', 'geojson','../data/raw/barris.geojson', '',True, 0, 1, 'neighbourhood')      
map = epy.mapCreation(41.388790,2.158990)
cluster = epy.mapWithMarkerCluster(map, "Restaurants Barcelona")


    

In [8]:

    

maxP = len(T[1])
porc = 0
x = 0
maxSee = 10
for barri in T[1]: #all barcelona polygons
    if x < maxSee:
        data = epy.getDatabaseFromOSM('restaurantes', 'amenity', True, True, T[1][barri],'restaurant')
        for d in data:
            epy.mapAddMarkerToCluster(cluster, d["geometry"][0], d["geometry"][1], 'glyphicon-glass', 'green', "")
        porc +=1
        print ( porc * 1.0 / min(maxP, maxSee) * 1.0) * 100
    x += 1


    

In [6]:

    

map
epy.mapSave(map, '../reports/maps/mapOfRestaurantsBCNByPolygon.html')


    

    
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