old_contents: from __future__ import print_function
  
  from bokeh.browserlib import view
  from bokeh.document import Document
  from bokeh.embed import file_html
  from bokeh.models.glyphs import Patches
  from bokeh.models import (
      Plot, DataRange1d, ColumnDataSource, ResizeTool
  )
  from bokeh.resources import INLINE
  from bokeh.sampledata import us_states, us_counties, unemployment
  
  us_states = us_states.data.copy()
  us_counties = us_counties.data
  unemployment = unemployment.data
  
  del us_states["HI"]
  del us_states["AK"]
  
  state_source = ColumnDataSource(
      data=dict(
          state_xs=[us_states[code]["lons"] for code in us_states],
          state_ys=[us_states[code]["lats"] for code in us_states],
      )
  )
  
  colors = ["#F1EEF6", "#D4B9DA", "#C994C7", "#DF65B0", "#DD1C77", "#980043"]
  
  county_colors = []
  for county_id in us_counties:
      if us_counties[county_id]["state"] in ["ak", "hi", "pr", "gu", "vi", "mp", "as"]:
          continue
      try:
          rate = unemployment[county_id]
          idx = min(int(rate/2), 5)
          county_colors.append(colors[idx])
      except KeyError:
          county_colors.append("black")
  
  county_source = ColumnDataSource(
      data=dict(
          county_xs=[us_counties[code]["lons"] for code in us_counties if us_counties[code]["state"] not in ["ak", "hi", "pr", "gu", "vi", "mp", "as"]],
          county_ys=[us_counties[code]["lats"] for code in us_counties if us_counties[code]["state"] not in ["ak", "hi", "pr", "gu", "vi", "mp", "as"]],
          county_colors=county_colors
      )
  )
  
  xdr = DataRange1d()
  ydr = DataRange1d()
  
  plot = Plot(x_range=xdr, y_range=ydr, min_border=0, border_fill="white",
              title="2009 Unemployment Data", plot_width=1300, plot_height=800, toolbar_location="left")
  
  county_patches = Patches(xs="county_xs", ys="county_ys", fill_color="county_colors", fill_alpha=0.7, line_color="white", line_width=0.5)
  plot.add_glyph(county_source, county_patches)
  
  state_patches = Patches(xs="state_xs", ys="state_ys", fill_alpha=0.0, line_color="#884444", line_width=2)
  plot.add_glyph(state_source, state_patches)
  
  plot.add_tools(ResizeTool())
  
  doc = Document()
  doc.add(plot)
  
  if __name__ == "__main__":
      filename = "choropleth.html"
      with open(filename, "w") as f:
          f.write(file_html(doc, INLINE, "Choropleth of all US counties, Unemployment 2009"))
      print("Wrote %s" % filename)
      view(filename)
  
new_contents: from __future__ import print_function
  
  from bokeh.browserlib import view
  from bokeh.document import Document
  from bokeh.embed import file_html
  from bokeh.models.glyphs import Patches
  from bokeh.models import (
      Plot, DataRange1d, ColumnDataSource, ResizeTool
  )
  from bokeh.resources import INLINE
  from bokeh.sampledata import us_states, us_counties, unemployment
  
  us_states = us_states.data.copy()
  us_counties = us_counties.data
  unemployment = unemployment.data
  
  del us_states["HI"]
  del us_states["AK"]
  
  state_source = ColumnDataSource(
      data=dict(
          state_xs=[us_states[code]["lons"] for code in us_states],
          state_ys=[us_states[code]["lats"] for code in us_states],
      )
  )
  
  colors = ["#F1EEF6", "#D4B9DA", "#C994C7", "#DF65B0", "#DD1C77", "#980043"]
  
  county_colors = []
  for county_id in us_counties:
      if us_counties[county_id]["state"] in ["ak", "hi", "pr", "gu", "vi", "mp", "as"]:
          continue
      try:
          rate = unemployment[county_id]
          idx = min(int(rate/2), 5)
          county_colors.append(colors[idx])
      except KeyError:
          county_colors.append("black")
  
  county_source = ColumnDataSource(
      data=dict(
          county_xs=[us_counties[code]["lons"] for code in us_counties if us_counties[code]["state"] not in ["ak", "hi", "pr", "gu", "vi", "mp", "as"]],
          county_ys=[us_counties[code]["lats"] for code in us_counties if us_counties[code]["state"] not in ["ak", "hi", "pr", "gu", "vi", "mp", "as"]],
          county_colors=county_colors
      )
  )
  
  xdr = DataRange1d()
  ydr = DataRange1d()
  
  plot = Plot(x_range=xdr, y_range=ydr, min_border=0, border_fill_color="white",
              title="2009 Unemployment Data", plot_width=1300, plot_height=800, toolbar_location="left")
  
  county_patches = Patches(xs="county_xs", ys="county_ys", fill_color="county_colors", fill_alpha=0.7, line_color="white", line_width=0.5)
  plot.add_glyph(county_source, county_patches)
  
  state_patches = Patches(xs="state_xs", ys="state_ys", fill_alpha=0.0, line_color="#884444", line_width=2)
  plot.add_glyph(state_source, state_patches)
  
  plot.add_tools(ResizeTool())
  
  doc = Document()
  doc.add(plot)
  
  if __name__ == "__main__":
      filename = "choropleth.html"
      with open(filename, "w") as f:
          f.write(file_html(doc, INLINE, "Choropleth of all US counties, Unemployment 2009"))
      print("Wrote %s" % filename)
      view(filename)
  
subject: update border_fill property setting to border_fill_color