Geocoding and Isolines Services

In [1]:

    

from cartoframes.auth import set_default_credentials

set_default_credentials('creds.json')


    

In [2]:

    

import pandas

df = pandas.DataFrame([
         ['Calle Serrano 15'],
         ['Calle de San Pedro 21'],
         ['Calle Gran Vía 46'],
         ['Paseo de la Castellana 200'],
         ['Calle Ntra. Sra. del Carmen 7'],
         ['Calle de San Germán 12'],
         ['Calle de Bravo Murillo 377'],
    ],
    columns=['address']
)
df


    

    
Out[2]:







  

    

      

      
address
    
  
  

    

      
0
      
Calle Serrano 15
    
    

      
1
      
Calle de San Pedro 21
    
    

      
2
      
Calle Gran Vía 46
    
    

      
3
      
Paseo de la Castellana 200
    
    

      
4
      
Calle Ntra. Sra. del Carmen 7
    
    

      
5
      
Calle de San Germán 12
    
    

      
6
      
Calle de Bravo Murillo 377
    
  

In [3]:

    

from cartoframes.data.services import Geocoding

gc = Geocoding()
gdf, metadata = gc.geocode(df, street='address', city={'value': 'Madrid'}, country={'value': 'Spain'})


    

    




Success! Data geocoded correctly

In [4]:

    

gdf


    

    
Out[4]:







  

    

      

      
the_geom
      
address
      
gc_status_rel
      
carto_geocode_hash
    
  
  

    

      
0
      
POINT (-3.68831 40.42478)
      
Calle Serrano 15
      
0.82
      
26a9e50f26e86d071fa0ff46b9291863
    
    

      
1
      
POINT (-3.69488 40.41089)
      
Calle de San Pedro 21
      
0.95
      
905794cd20618c2d43d7e4c8db56436c
    
    

      
2
      
POINT (-3.70588 40.42049)
      
Calle Gran Vía 46
      
0.92
      
8bcb00020040f7a01edb6085c7833d2a
    
    

      
3
      
POINT (-3.68898 40.46239)
      
Paseo de la Castellana 200
      
0.95
      
35861fd39af822c3fa5c7b562625cdcc
    
    

      
4
      
POINT (-3.70221 40.45840)
      
Calle Ntra. Sra. del Carmen 7
      
0.98
      
7abee54b2d67041fe1ad4f8f5f19a981
    
    

      
5
      
POINT (-3.69286 40.45651)
      
Calle de San Germán 12
      
0.95
      
3db89bbedd49ce477cc3f35f4f4a3aae
    
    

      
6
      
POINT (-3.69093 40.46575)
      
Calle de Bravo Murillo 377
      
0.95
      
b1e0a4698eb9a56278614aeb35106bf6
    
  

In [5]:

    

metadata


    

    
Out[5]:





{'total_rows': 7,
 'required_quota': 7,
 'previously_geocoded': 0,
 'previously_failed': 0,
 'records_with_geometry': 0,
 'final_records_with_geometry': 7,
 'geocoded_increment': 7,
 'successfully_geocoded': 7,
 'failed_geocodings': 0}

In [6]:

    

from cartoframes.viz import Layer

Layer(gdf)


    

    
Out[6]:





  
    
    

      

        

        
        
      
 
    
 
  

  

  

  

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StackTrace
    

  






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In [7]:

    

from cartoframes.data.services import Isolines

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

print('Available Quota: {0}'.format(iso_service.available_quota()))
print('Required Quota: {0}'.format(isochrones.metadata.get('required_quota')))


    

    




Available Quota: 77725
Required Quota: 21

In [8]:

    

isochrones = iso_service.isochrones(gdf, [100, 200, 300], mode='walk')

isochrones.data.head()


    

    




Success! Isolines created correctly






    
Out[8]:







  

    

      

      
source_id
      
data_range
      
the_geom
    
  
  

    

      
0
      
6
      
300
      
MULTIPOLYGON (((-3.69355 40.46556, -3.69347 40...
    
    

      
1
      
3
      
300
      
MULTIPOLYGON (((-3.69201 40.46265, -3.69072 40...
    
    

      
2
      
0
      
300
      
MULTIPOLYGON (((-3.69063 40.42625, -3.69020 40...
    
    

      
3
      
5
      
300
      
MULTIPOLYGON (((-3.69544 40.45715, -3.69484 40...
    
    

      
4
      
1
      
300
      
MULTIPOLYGON (((-3.69681 40.41183, -3.69638 40...
    
  

In [9]:

    

from cartoframes.viz import Map, Layer, basic_style

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


    

    
Out[9]:





  
    
    

      

        

        
        
          

            

              


  
    
      
        
        
        

          
            
              
                
                
              
            
          
        
      
    
      
        
        
        

          
            
              
                
                
              
            
          
        
      
    
  

            
 
          
 
        
      
 
    
 
  

  

  

  

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StackTrace
    

  






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