This library provides all countries's national and prefectural boundaries in the form of geopandas dataframe, by dynamically fetching from GADM dataset.
pip install gadm
import geopandas as gpd from gadm import GADMDownloader downloader = GADMDownloader(version="4.0") country_name = "Vietnam" ad_level = 0 gdf = downloader.get_shape_data_by_country_name(country_name=country_name, ad_level=ad_level) assert isinstance(gdf, gpd.GeoDataFrame) gdf.plot()
GADM's data frame can be interactively visualized on a jupyter notebook with folium
import folium as fl import geopandas as gpd from gadm import GADMDownloader downloader = GADMDownloader(version="4.0") country_name = "Vietnam" ad_level = 1 gdf = downloader.get_shape_data_by_country_name(country_name=country_name, ad_level=ad_level) m = fl.Map(zoom_start=10, tiles="OpenStreetMap") for _, r in gdf.iterrows(): sim_geo = gpd.GeoSeries(r["geometry"]).simplify(tolerance=0.001) geo_j = sim_geo.to_json() geo_j = fl.GeoJson(data=geo_j, style_function=lambda x: {"fillColor": "orange"}) fl.Popup(r["VARNAME_1"]).add_to(geo_j) geo_j.add_to(m) m
Check the following example
conda env create --file environment.yml conda activate gadm