texas_hover_map

基于失业率数据的彩色映射地图图。此示例演示了如何使用 LogColorMapper 和悬停工具。

细节

示例数据：

bokeh.sampledata.unemployment, bokeh.sampledata.us_counties

Bokeh API：

figure.patches, bokeh.models.LogColorMapper

更多信息：

悬停工具

关键词：

colormap, map, patches

from bokeh.models import LogColorMapper
from bokeh.palettes import Viridis6 as palette
from bokeh.plotting import figure, show
from bokeh.sampledata.unemployment import data as unemployment
from bokeh.sampledata.us_counties import data as counties

palette = tuple(reversed(palette))

counties = {
    code: county for code, county in counties.items() if county["state"] == "tx"
}

county_xs = [county["lons"] for county in counties.values()]
county_ys = [county["lats"] for county in counties.values()]

county_names = [county['name'] for county in counties.values()]
county_rates = [unemployment[county_id] for county_id in counties]
color_mapper = LogColorMapper(palette=palette)

data=dict(
    x=county_xs,
    y=county_ys,
    name=county_names,
    rate=county_rates,
)

TOOLS = "pan,wheel_zoom,reset,hover,save"

p = figure(
    title="Texas Unemployment, 2009", tools=TOOLS,
    x_axis_location=None, y_axis_location=None,
    tooltips=[
        ("Name", "@name"), ("Unemployment rate", "@rate%"), ("(Long, Lat)", "($x, $y)"),
    ])
p.grid.grid_line_color = None
p.hover.point_policy = "follow_mouse"

p.patches('x', 'y', source=data,
          fill_color={'field': 'rate', 'transform': color_mapper},
          fill_alpha=0.7, line_color="white", line_width=0.5)

show(p)