In [61]:

    

import numpy as np
import pandas as pd
import altair as alt
from vega_datasets import data

countries = alt.topo_feature(data.world_110m.url, 'countries')

# download from https://bl.ocks.org/mbostock/raw/4090846/world-country-names.tsv
some_data = pd.read_csv('world-country-names.tsv', sep='\t')  
some_data.head()


    

    
Out[61]:







  

    

      

      
id
      
name
    
  
  

    

      
0
      
-1
      
Northern Cyprus
    
    

      
1
      
-2
      
Kosovo
    
    

      
2
      
-3
      
Somaliland
    
    

      
3
      
4
      
Afghanistan
    
    

      
4
      
8
      
Albania
    
  

In [62]:

    

some_data['rate'] = np.random.random(len(some_data))
some_data.head()


    

    
Out[62]:







  

    

      

      
id
      
name
      
rate
    
  
  

    

      
0
      
-1
      
Northern Cyprus
      
0.893815
    
    

      
1
      
-2
      
Kosovo
      
0.033565
    
    

      
2
      
-3
      
Somaliland
      
0.733582
    
    

      
3
      
4
      
Afghanistan
      
0.383214
    
    

      
4
      
8
      
Albania
      
0.411592
    
  

In [63]:

    

alt.Chart(countries).mark_geoshape().encode(
    color='rate:Q'
).transform_lookup(
    lookup='id',
    from_=alt.LookupData(some_data, 'id', ['rate'])
).properties(
    width=800,
    height=500
).project('mercator')


    

    
Out[63]:

In [ ]: