Texas Choropleth Example

Download this notebook from GitHub (right-click to download).

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

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

• Matplotlib - texas choropleth example

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

Declaring data

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

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'))

WARNING:param.PolygonPlot: The `color_index` parameter is deprecated in favor of color style mapping, e.g. `color=dim('color')` or `line_color=dim('color')`

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Download this notebook from GitHub (right-click to download).