Folium example.py

import pandas as pd
import json
from urllib.request import urlopen
import numpy as np


#Load GeoJson 
with urlopen('https://opendata.arcgis.com/datasets/48b6b85bb7ea43699ee85f4ecd12fd36_4.geojson') as response:
    counties = json.load(response)
 
#Load data to be charted    
dummy_data=pd.read_csv('https://opendata.arcgis.com/datasets/48b6b85bb7ea43699ee85f4ecd12fd36_0.csv?outSR=%7B%22latestWkid%22%3A27700%2C%22wkid%22%3A27700%7D')
#add dummy data
dummy_data['value']=np.random.randint(10, 100, size=len(dummy_data))

#With Folium
import folium
m = folium.Map(tiles='cartodbpositron',location=[54.38, -2.7], zoom_start = 6.499)

folium.Choropleth(geo_data=counties, name='choropleth', data=dummy_data, columns=['nuts218cd', 'value'],
 key_on='feature.properties.nuts218cd', fill_color='YlGnBu', fill_opacity=0.7, line_opacity=0.2,
 legend_name='LEGEND',highlight=True).add_to(m)

m.save('#292_folium_chloropleth_4USA1.html')