Plotly Example

Create UK_map.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 Plotly
import plotly.express as px
from geojson_rewind import rewind

#Make the rings clockwwise (to make it compatible with plotly)    
counties_corrected=rewind(counties,rfc7946=False)

fig = px.choropleth(dummy_data, geojson=counties_corrected, locations='nuts218cd', featureidkey="properties.nuts218cd", color='value',
                            color_continuous_scale="PurPor", labels={'label name':'label name'}, title='MAP TITLE',
                            scope="europe")

fig.update_geos(fitbounds="locations", visible=False)