TRANS GHIOANCĂ S.R.L.

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Folium

- folium - pandas

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