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import hvplot.pandas  # noqa

Using hvplot with geopandas is as simple as loading a geopandas dataframe and calling hvplot on it with geo=True.

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import geopandas as gpd

cities = gpd.read_file(gpd.datasets.get_path('naturalearth_cities'))
cities.sample(5)
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cities.hvplot(geo=True, tiles=True)

You can easily change the tiles, add coastlines, or which fields show up in the hover text:

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cities.hvplot(tiles='EsriTerrain', coastline=True, hover_cols='all')

We can also alter the projection of the data using cartopy:

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import cartopy.crs as ccrs
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cities.hvplot(coastline=True, projection=ccrs.Geostationary(central_longitude=-30), global_extent=True)