等值区域图

此示例显示了 2009 年美国各县的失业率地图。它演示了如何使用多边形数据绘制形状，以及如何使用颜色比例来指示不同的整数范围

详情

示例数据:

bokeh.sampledata.us_counties, bokeh.sampledata.us_states, bokeh.sampledata.unemployment

Bokeh API:

figure.patches, bokeh.palettes.Viridis6, bokeh.plotting.show

更多信息:

补丁 (Patches)

关键词:

colormap, shapes, vector, polygon

from bokeh.palettes import Viridis6
from bokeh.plotting import figure, show
from bokeh.sampledata.unemployment import data as unemployment
from bokeh.sampledata.us_counties import data as counties
from bokeh.sampledata.us_states import data as states

states = states.copy()

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]

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(Viridis6[idx])
    except KeyError:
        county_colors.append("black")

p = figure(title="US Unemployment 2009",
           x_axis_location=None, y_axis_location=None,
           width=1000, height=600)
p.grid.grid_line_color = None

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)

show(p)  # Change to save(p) to save but not show the HTML file