使用HoverTool()工具时仅显示一个工具提示 [英] Displaying only one tooltip when using the HoverTool() tool
问题描述
I am plotting very many points in Bokeh, and I have added the HoverTool to the list of tools of the figure, so that the mouse shows the x,y
coordinates of the mouse when close to a glyph.
当鼠标靠近紧密堆积在一起的一组字形时,我得到的提示与字形一样多.我只需要一个工具提示,即最接近的字形之一.这不仅是演示文稿的细节,因为在很多方面都会得到以下结果:
When the mouse gets close to a set of glyphs closely packed together, I get as many tooltips as glyphs. I want instead only one tooltip, the one of the closest glyph. This isn't just a presentation detail, because for very many points this results:
- 与绘图的交互缓慢,在生成所有工具提示时浏览器会卡住
- 在很长的工具提示中,相同的信息被重复的次数是靠近游标的字形的次数
下面是一个示例,其中包含用于复制行为的代码:
An example follows, with the code to replicate the behaviour:
import numpy.random
from bokeh.plotting import figure, output_notebook, show
from bokeh.models import HoverTool
output_notebook()
hover = HoverTool()
hover.tooltips = [("(x,y)", "($x, $y)")]
x = numpy.random.randn(500)
y = numpy.random.randn(500)
p = figure(tools=[hover])
p.circle(x,y, color='red', size=14, alpha=0.4)
show(p)
推荐答案
我遇到了类似的问题,并提出了使用自定义工具提示的解决方案.我在顶部插入一个样式标签,该标签仅显示.bk-tooltip
类下的第一个子元素div
,这是第一个工具提示.
I was having a similar problem and came up with a solution using a custom tooltip. I insert a style tag at the top that only displays the first child div
under the .bk-tooltip
class, which is the first tooltip.
这是一个可行的示例:
from bokeh.plotting import figure, show
from bokeh.models import HoverTool, Range1d
custom_hover = HoverTool()
custom_hover.tooltips = """
<style>
.bk-tooltip>div:not(:first-child) {display:none;}
</style>
<b>X: </b> @x <br>
<b>Y: </b> @y
"""
p = figure(tools=[custom_hover]) #Custom behavior
#p = figure(tools=['hover']) #Default behavior
p.circle(x=[0.75,0.75,1.25,1.25], y=[0.75,1.25,0.75,1.25], size=230, color='red', fill_alpha=0.2)
p.y_range = Range1d(0,2)
p.x_range = Range1d(0,2)
show(p)
这是一种骇人听闻的解决方案,但可以在Safari,Firefox和Chrome浏览器中使用.我认为他们会推出更长期的
This is kind of a hacky solution, but it works in Safari, Firefox and Chrome. I think they'll be coming out with a more long-term solution soon.
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