import folium
import json
import pandas as pd
from pyodide.http import open_url
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(open_url(state_unemployment))
geo_json = json.loads(open_url(state_geo).read())
m = folium.Map(location=[48, -102], zoom_start=3)
folium.Choropleth(
geo_data=geo_json,
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)
m