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

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

Bokeh - texas choropleth example

In [ ]:

import holoviews as hv
hv.extension('matplotlib')
hv.output(fig='svg')

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(
    color='Unemployment', edgecolor='white',
    xaxis=None, yaxis=None, show_grid=False,
    show_frame=False, colorbar=True, fig_size=200)