添加 LassoSelectTool

使用 Bokeh 进行交互式数据可视化

George Boorman

Core Curriculum Manager, DataCamp

检查器

CrosshairTool
- crosshair

HoverTool
- hover

CrosshairTool

¹ https://docs.bokeh.org/en/latest/docs/user_guide/tools.html#userguide-tools-inspectors

Bokeh 数据源对象

from bokeh.models import ColumnDataSource

source = ColumnDataSource(data=nba)

fig = figure(x_axis_label="Minutes Played", y_axis_label="Points Per Game")

fig.circle(x="assists", y="points", source=source)

output_file(filename="ColumnDataSource.html")
show(fig)

nba_scatter

设置 HoverTool

from bokeh.models import ColumnDataSource
source = ColumnDataSource(data=nba)

TOOLTIPS = [("Name", "@player"), ("Team", "@team")]

fig = figure(x_axis_label="Assists", y_axis_label="Points",

             tooltips=TOOLTIPS)

fig.circle(x="assists", y="points", source=source)
output_file("name_and_team.html")
show(fig)

HoverTool 演示

HoverTool

显示数值数据

TOOLTIPS = [("Name", "@player"), ("Team", "@team"),

            ("Points", "@points"), ("Assists", "@assists")]

fig = figure(x_axis_label="Assists", y_axis_label="Points", tooltips=TOOLTIPS)
fig.circle(x="assists", y="points", source=source)
output_file("hovertool.html")
show(fig)

未格式化的 HoverTool

格式化 HoverTool

TOOLTIPS = [("Name", "@player"), ("Team", "@team"),

            ("Points", "@points{0.2f}"), ("Assists", "@assists{0.2f}")]

fig = figure(x_axis_label="Assists", y_axis_label="Points", tooltips=TOOLTIPS)
fig.circle(x="assists", y="points", source=source)
output_file("formatted_hovertool.html")
show(fig)

已格式化的 HoverTool

让我们练习！

使用 Bokeh 进行交互式数据可视化