散景绘图:仅对某些字形启用工具提示

Bokeh Plotting: Enable tooltips for only some glyphs(散景绘图:仅对某些字形启用工具提示)

问题描述

我有一个带有一些字形的图形，但只想显示某些字形的工具提示.目前有没有办法在 Bokeh 中实现这一点?

I have a figure with some glyphs, but only want tooltips to display for certain glyphs. Is there currently a way to accomplish this in Bokeh?

或者，有没有办法将两个图形相互叠加?看来这会让我完成我想做的事情.

Alternatively, is there a way to plot two figures on top of each other? It seems like that would let me accomplish what I want to do.

推荐答案

感谢 Google Groups 中的这个页面，我想出了如何做到这一点.链接在这里

Thanks to this page in Google Groups I figured out how this can be done. Link here

编辑 2015-10-20:不幸的是，谷歌群组链接似乎不再有效.这是来自 Sarah Bird @bokehplot 的消息.

Edit 2015-10-20: looks like the google group link doesn't work anymore unfortunately. It was a message from Sarah Bird @bokehplot.

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 here 已经存在一个问题.或者，在下面的答案中尝试@terry 的解决方案.

Edit 2017-01-18: Currently this would add multiple hover tool icons to the tool bar. This may cause problems. There is already an issue filed at github here. Alternatively, try @tterry's solution in the answer below.

基本上你需要(散景版本 0.9.2):

Essentially you need to (bokeh version 0.9.2):

1. 创建图形时不要在 tools 中添加 hover
2. 单独创建字形
3. 为您的图形添加字形
4. 为这组字形设置悬停工具
5. 为您的人物添加悬停工具

例子:

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源码 例如:

Also if you need to add legend to each of the glyphs you are adding, try using bokeh.plotting_helpers._update_legend() method. github source Eg:

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

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