Choropleth plotly express

plotly-choropleth.py

import pandas as pd
import geopandas as gpd
import plotly.express as px

# read data
df = pd.read_csv('data/population.csv',header=2)
df.rename(columns={'Country Code':'iso3'}, inplace=True)
# read shapefile
map = gpd.read_file('data/world-administrative-boundaries/world-administrative-boundaries.shp')
# merge df and shapefile 
df_map = pd.merge(df,map,on='iso3')

# plot 
fig = px.choropleth(df_map, locations='iso3', color='2021',
                    color_continuous_scale='Reds',
                    scope='world',projection='equirectangular')
fig.update_layout(margin={'r':0,'t':0,'l':0,'b':0})
fig.update_geos(resolution=50,
                showcoastlines=True, coastlinecolor='black',
                showland=True, landcolor='#e6e6e6',
                showlakes=True, lakecolor='LightBlue')
fig.show()