Calculate Isochrones

In [1]:

    

from cartoframes.auth import set_default_credentials

set_default_credentials('creds.json')


    

In [2]:

    

from geopandas import GeoDataFrame, points_from_xy

gdf = GeoDataFrame([
         ['Calle Serrano 15', -3.68831, 40.42478],
         ['Calle de San Pedro 21', -3.69488, 40.41089],
         ['Calle Gran Vía 46', -3.70588, 40.42049],
         ['Paseo de la Castellana 200', -3.68898, 40.46239],
         ['Calle Ntra. Sra. del Carmen 7', -3.70221, 40.45840],
         ['Calle de San Germán 12', -3.69286, 40.45651],
         ['Calle de Bravo Murillo 377', -3.69093, 40.46575],
    ],
    columns=['address', 'lng', 'lat']
)
gdf.set_geometry(points_from_xy(gdf['lng'], gdf['lat']), inplace=True)


    

In [3]:

    

from cartoframes.viz import Layer

Layer(gdf)


    

    
Out[3]:





  
    
    

      

        

        
        
      
 
    
 
  

  

  

  

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In [4]:

    

from cartoframes.data.services import Isolines

iso_service = Isolines()
isochrones_gdf, isochrones_metadata = iso_service.isochrones(gdf, [100, 200, 300], mode='walk', exclusive=True)


    

    




Success! Isolines created correctly

In [5]:

    

isochrones_gdf.head(5)


    

    
Out[5]:







  

    

      

      
source_id
      
data_range
      
lower_data_range
      
the_geom
      
range_label
    
  
  

    

      
0
      
6
      
300
      
200
      
POLYGON ((-3.69355 40.46556, -3.69347 40.46608...
      
5 min.
    
    

      
1
      
3
      
300
      
200
      
POLYGON ((-3.69201 40.46265, -3.69072 40.46265...
      
5 min.
    
    

      
2
      
0
      
300
      
200
      
POLYGON ((-3.69063 40.42625, -3.69020 40.42643...
      
5 min.
    
    

      
3
      
5
      
300
      
200
      
MULTIPOLYGON (((-3.69544 40.45715, -3.69518 40...
      
5 min.
    
    

      
4
      
1
      
300
      
200
      
POLYGON ((-3.69681 40.41183, -3.69638 40.41201...
      
5 min.
    
  

In [6]:

    

isochrones_metadata


    

    
Out[6]:





{'required_quota': 21}

In [9]:

    

from cartoframes.viz import Map, Layer, basic_style

Map([
    Layer(isochrones_gdf, basic_style(color='green', opacity='0.3')),
    Layer(gdf, basic_style(size=3))
])


    

    
Out[9]:





  
    
    

      

        

        
        
          

            

              


  
    
      
        
        
        

          
            
              
                
                
              
            
          
        
      
    
      
        
        
        

          
            
              
                
                
              
            
          
        
      
    
  

            
 
          
 
        
      
 
    
 
  

  

  

  

    :
    

      
      
    
  

  

    
StackTrace
    

  






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