多个HoverTools用于不同的线路(散景)

tho*_*hor 1 python hover python-3.x bokeh

我在散景图上有多行,我希望HoverTool显示每行的值,但使用前一个stackoverflow答案的方法不起作用:

/sf/answers/1928447041/

以下是该答案的相关代码段:

fig = bp.figure(tools="reset,hover")
s1 = fig.scatter(x=x,y=y1,color='#0000ff',size=10,legend='sine')
s1.select(dict(type=HoverTool)).tooltips = {"x":"$x", "y":"$y"}
s2 = fig.scatter(x=x,y=y2,color='#ff0000',size=10,legend='cosine')
fig.select(dict(type=HoverTool)).tooltips = {"x":"$x", "y":"$y"}
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这是我的代码:

from bokeh.models import HoverTool
from bokeh.plotting import figure

source = ColumnDataSource(data=dict(
    x = [list of datetimes]
    wind = [some list]
    coal = [some other list]
    )
)

hover = HoverTool(mode = "vline")

plot = figure(tools=[hover], toolbar_location=None,
    x_axis_type='datetime')

plot.line('x', 'wind')
plot.select(dict(type=HoverTool)).tooltips = {"y":"@wind"}
plot.line('x', 'coal')
plot.select(dict(type=HoverTool)).tooltips = {"y":"@coal"}
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据我所知,它相当于我链接的答案中的代码,但当我将鼠标悬停在图上时,两个悬停工具框都显示相同的值,即wind.

San*_*apa 7

您需要为每个绘图添加渲染器.检查一下.也不要使用相同y label的两个值更改名称.

from bokeh.models import HoverTool
from bokeh.plotting import figure

source = ColumnDataSource(data=df)

plot = figure(x_axis_type='datetime',plot_width=800, plot_height=300)

plot1 =plot.line(x='x',y= 'wind',source=source,color='blue')
plot.add_tools(HoverTool(renderers=[plot1], tooltips=[('wind',"@wind")],mode='vline'))

plot2 = plot.line(x='x',y= 'coal',source=source,color='red')
plot.add_tools(HoverTool(renderers=[plot2], tooltips=[("coal","@coal")],mode='vline'))

show(plot)
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输出看起来像这样. OUTPUT