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如何使用bokeh在绘图上显示各种悬停标识符?

bokeh python

1

PyRsquared · 技术社区 · 7 年前

如果我们采取 this geographic example from Bokeh documentation ,当您将鼠标悬停在该县上时,我们会在文本框中看到德克萨斯县的名称,以及失业率和经纬度。

除了 Name 在那个文本框里? 为了简单起见,为了辩论,假设你 Mayor 和 Largest Town 作为数据,想把它们也显示在下面 名字 . 以上面例子中的代码为例,假设我们有类似的东西(请参考所有代码的链接,我只是在这里使用一个示例)

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

source = ColumnDataSource(data=dict(
x=county_xs,
y=county_ys,
name=county_names,
identifier_2 = county_mayor # guessing here
rate=county_rates,
))

...

hover = p.select_one(HoverTool)
hover.point_policy = "follow_mouse"
hover.tooltips = [
    ("Name", "@name"),
    ("Unemployment rate)", "@rate%"),
    ("Mayor", "@identifier_2"), # guessing here
    ("(Long, Lat)", "($x, $y)"),
]

虽然这不起作用,因为 identifier_2 未知/未定义。

1 回复 | 直到 7 年前

1

2

Pierre Chevallier 7 年前

如何进行

通过首先将其他变量的引用确实传递给columndatasource,可以将它们添加到悬停工具中。

首先将数据添加到ColumnDataSource(确保变量的维度与其他变量的维度相同)
将源添加到图形中
之后在悬停工具中引用它

代码

from bokeh.io import show
from bokeh.models import (
    ColumnDataSource,
    HoverTool,
    LogColorMapper
)
from bokeh.palettes import Viridis6 as palette
from bokeh.plotting import figure

from bokeh.sampledata.us_counties import data as counties
from bokeh.sampledata.unemployment import data as unemployment

palette.reverse()

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()]
# Creating a fake mayor variable
county_mayor = ["Mayor of " + county["name"]  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)

# We add the mayor variable
source = ColumnDataSource(data=dict(
    x=county_xs,
    y=county_ys,
    name=county_names,
    rate=county_rates,
    mayor=county_mayor,
))

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

p = figure(
    title="Texas Unemployment, 2009", tools=TOOLS,
    x_axis_location=None, y_axis_location=None
)
p.grid.grid_line_color = None

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

hover = p.select_one(HoverTool)
hover.point_policy = "follow_mouse"
# And we reference the mayor in the tooltip
hover.tooltips = [
    ("Name", "@name"),
    ("Unemployment rate)", "@rate%"),
    ("(Long, Lat)", "($x, $y)"),
    ("Mayor", "@mayor")
]

show(p)

产量

预期的结果应该是这样的:

参考文献

此处悬停工具的参考 link from the documentation .