散景图:仅为某些字形启用工具提示

Question

我有一些带有一些字形的图形,但只想要显示某些字形的工具提示.目前有没有办法在Bokeh中实现这一目标？

或者,有没有办法将两个数字叠加在一起？似乎这会让我完成我想做的事情.

Answer 1

感谢Google网上论坛的这个页面,我想出了如何做到这一点. 链接在这里

编辑2015-10-20:遗憾的是,谷歌群组链接看起来不再有用了.这是来自Sarah Bird @bokehplot的消息.

编辑2017-01-18:目前,这会在工具栏中添加多个悬停工具图标.这可能会导致问题.github已经在这里提出了一个问题.或者,在下面的答案中尝试@ tterry的解决方案.

基本上你需要(散景版0.9.2):

1. hover在tools创建图形时不要添加
2. 单独创建字形
3. 为你的身材添加字形
4. 为这组字形设置悬停工具
5. 将悬停工具添加到您的图中

例:

import bokeh.models as bkm
import bokeh.plotting as bkp

source = bkm.ColumnDataSource(data=your_frame)
p = bkp.figure(tools='add the tools you want here, but no hover!')
g1 = bkm.Cross(x='col1', y='col2')
g1_r = p.add_glyph(source_or_glyph=source, glyph=g1)
g1_hover = bkm.HoverTool(renderers=[g1_r],
                         tooltips=[('x', '@col1'), ('y', '@col2')])
p.add_tools(g1_hover)

# now repeat the above for the next sets of glyphs you want to add. 
# for those you don't want tooltips to show when hovering over, just don't 
# add hover tool for them!

此外,如果您需要为要添加的每个字形添加图例,请尝试使用bokeh.plotting_helpers._update_legend()方法.github来源例如:

_update_legend(plot=p, legend_name='data1', glyph_renderer=g1_r)

Answer 2

张的回答是否有效,但最终会有多个悬停工具.如果这是不合需要的,您可以将渲染器添加到现有的悬停工具:

from bokeh import plotting
from bokeh.models import HoverTool, PanTool, ResetTool, WheelZoomTool

hover_tool = HoverTool(tooltips=[('col', '@x'),('row', '@y')])  # instantiate HoverTool without its renderers
tools = [hover_tool, WheelZoomTool(), PanTool(), ResetTool()]  # collect the tools in a list: you can still update hover_tool

plot = plotting.figure(tools=tools)
plot.line(x_range, y_range)  # we don't want to put tooltips on the line because they can behave a little strange
scatter = plot.scatter(x_range, y_range)  # we assign this renderer to a name...
hover_tool.renderers.append(scatter)  # ...so we can add it to hover_tool's renderers.

所以这里的差异:

1. 您可以使用plotting界面以高级方式创建您的字形,这仍然有效.
2. 您不必每次都创建一个新的HoverTool(除非您需要不同的工具提示),只需将其添加到现有工具的渲染器即可.

Answer 3

您需要使用希望name=激活悬停工具的字形上的属性来命名该字形，然后在悬停工具的names=属性中设置该名称。（请注意以下示例中字形的name=属性fig.line。

hover = HoverTool( mode='vline', line_policy='nearest', names=['ytd_ave'],
    tooltips=[
        ("Week Number", "@WeekNumber"),
        ("OH for the Week", "@OverHead{0.00}%"),
        ("OH Average", "@AveOverHead{0.00}%"),
        ("Non-Controllable Hours", "@NonControllableHours{0.0}"),
        ("Controllable Hours", "@ControllableHours{0.0}"),
        ("Total Hours", "@TotalHours{0.0}"),
    ]
)

fig = Figure(title='Weekly Overhead', plot_width=950, plot_height=400,
         x_minor_ticks=2, tools=['pan', 'box_zoom', 'wheel_zoom', 'save',
                                 'reset', hover])

ch = fig.vbar('WeekNumber', top='ControllableHours', name='Over Head', 
         color='LightCoral', source=sources, width=.5)
nch = fig.vbar('WeekNumber', bottom='ControllableHours', top='TotalOHHours',
         name='Non-Controllable Over Head', color='LightGray', 
         source=sources, width=.5)
bh = fig.vbar('WeekNumber', bottom='TotalOHHours', top='TotalHours',
         name='Project Hours', color='LightGreen', source=sources,
         width=.5)

ave = fig.line('WeekNumber', 'AveOverHead', source=sources, color='red',
         y_range_name='Percent_OH', name='ytd_ave')