

In [ ]:

    
import geopandas as gpd
import geoviews as gv
import cartopy.crs as ccrs

gv.extension('matplotlib')
gv.output(dpi=120, fig='svg')

Define data



In [ ]:

    
tiles = gv.tile_sources.Wikipedia 

# Project data to Web Mercator
nybb = gpd.read_file(gpd.datasets.get_path('nybb'))
poly_data = nybb.to_crs(ccrs.GOOGLE_MERCATOR.proj4_init)
polys = gv.Polygons(poly_data, vdims='BoroName', crs=ccrs.GOOGLE_MERCATOR)

Plot



In [ ]:

    
tiles.opts(zoom=10) * polys.opts(color='BoroName', cmap='tab20', fig_size=200, padding=0.1)