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Bokeh Docs

choropleth

< anscombe | back to Gallery | texas >

          from bokeh.plotting import figure, show, output_file
          from bokeh.sampledata.us_counties import data as counties
          from bokeh.sampledata.us_states import data as states
          from bokeh.sampledata.unemployment import data as unemployment
          
          del states["HI"]
          del states["AK"]
          
          EXCLUDED = ("ak", "hi", "pr", "gu", "vi", "mp", "as")
          
          state_xs = [states[code]["lons"] for code in states]
          state_ys = [states[code]["lats"] for code in states]
          
          county_xs=[counties[code]["lons"] for code in counties if counties[code]["state"] not in EXCLUDED]
          county_ys=[counties[code]["lats"] for code in counties if counties[code]["state"] not in EXCLUDED]
          
          colors = ["#F1EEF6", "#D4B9DA", "#C994C7", "#DF65B0", "#DD1C77", "#980043"]
          
          county_colors = []
          for county_id in counties:
              if counties[county_id]["state"] in EXCLUDED:
                  continue
              try:
                  rate = unemployment[county_id]
                  idx = int(rate/6)
                  county_colors.append(colors[idx])
              except KeyError:
                  county_colors.append("black")
          
          p = figure(title="US Unemployment 2009", toolbar_location="left",
                     plot_width=1100, plot_height=700)
          
          p.patches(county_xs, county_ys,
                    fill_color=county_colors, fill_alpha=0.7,
                    line_color="white", line_width=0.5)
          
          p.patches(state_xs, state_ys, fill_alpha=0.0,
                    line_color="#884444", line_width=2, line_alpha=0.3)
          
          output_file("choropleth.html", title="choropleth.py example")
          
          show(p)