URL: http://bokeh.pydata.org/en/latest/docs/gallery/texas.html

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

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"]

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'))