URL: https://docs.bokeh.org/en/latest/docs/examples/topics/geo/texas_hover_map.html

Most examples work across multiple plotting backends, this example is also available for:

Matplotlib - texas choropleth example

In [ ]:

import holoviews as hv
from holoviews import opts
hv.extension('bokeh')

Declaring data¶

In [ ]:

from bokeh.sampledata.us_counties import data as counties
from bokeh.sampledata.unemployment import data as unemployment

counties = [dict(county, Unemployment=unemployment[cid])
            for cid, county in counties.items()
            if county["state"] == "tx"]

detailed_name = 'detailed_name' if counties[0].get('detailed_name') else 'detailed name' # detailed name was changed in Bokeh 3.0
choropleth = hv.Polygons(counties, ['lons', 'lats'], [(detailed_name, 'County'), 'Unemployment'])

Plot¶

In [ ]:

choropleth.opts(
    opts.Polygons(logz=True, tools=['hover'], xaxis=None, yaxis=None,
                   show_grid=False, show_frame=False, width=500, height=500,
                   color_index='Unemployment', colorbar=True, toolbar='above', line_color='white'))