FCM 161 - foliumchoro.py

#! /usr/bin/env python
#  -*- coding: utf-8 -*-
# ======================================================
#     foliumchoro.py
#  ------------------------------------------------------
# Created for Full Circle Magazine Issue #
# Written by G.D. Walters
# Copyright (c) 2020 by G.D. Walters
# This source code is released under the MIT License
# ======================================================

import folium
import pandas as pd
import webbrowser

url = 'https://raw.githubusercontent.com/python-visualization/folium/master/examples/data'
state_geo = f'{url}/us-states.json'
state_unemployment = f'{url}/US_Unemployment_Oct2012.csv'
state_data = pd.read_csv(state_unemployment)

m = folium.Map(location=[48, -102], zoom_start=3)

folium.Choropleth(geo_data=state_geo,
                  name='choropleth',
                  data=state_data,
                  columns=['State', 'Unemployment'],
                  key_on='feature.id',
                  fill_color='YlGn',
                  fill_opacity=0.7,
                  line_opacity=0.2,
                  legend_name='Unemployment Rate (%)').add_to(m)

folium.LayerControl().add_to(m)

output_file = "map2.html"
m.save(output_file)
webbrowser.open(output_file, new=2)