为点散景添加标签

Question

我根据他们的文档提供以下内容：

album_name

我想用x轴上的效价和y轴上的能量制作散点图。此外，当您将鼠标悬停在每个点上时，我希望它为album_name说出它的值。并且该点的颜色基于from bokeh.models import ColumnDataSource, Range1d, LabelSet, Label from bokeh.io import output_notebook, show from bokeh.plotting import figure from bokeh.palettes import brewer source = ColumnDataSource(data=dict(valence=valence, energy=energy, names=album_names)) p = figure() p.scatter(x='valence', y='energy', size=8, source=source) labels = LabelSet(x='valence', y='energy', text='names', level='glyph', x_offset=5, y_offset=5, source=source, render_mode='canvas') p.add_layout(labels) show(p) 。

我尝试了以下内容：

{{1}}

但是，当您将鼠标悬停在该点上时，这不会显示相册名称。它修复了该点旁边的专辑名称。任何帮助，只有当鼠标悬停在该点上并且根据album_name的值更改颜色时才能显示album_name

注意：它类似于下面的内容

Answer 1

检查一下它会起作用：

from bokeh.plotting import figure, ColumnDataSource, output_notebook, show
from bokeh.models import HoverTool, WheelZoomTool, PanTool, BoxZoomTool, ResetTool, TapTool, SaveTool
from bokeh.palettes import brewer

output_notebook()

#preprocessing the data with column album_name
category = 'album_name'

category_items = df[category].unique()
#selecting the colors for each unique category in album_name
palette = brewer['Set2'][len(category_items) + 1]
#mapping each category with a color of Set2
colormap = dict(zip(category_items, palette))
#making a color column based on album_name
df['color'] = df[category].map(colormap)

title = "Album_names"
#feeding data into ColumnDataSource
source = ColumnDataSource(df)
#Editing the hover that need to displayed while hovering
hover = HoverTool(tooltips=[('Album_name', '@album_name')])
#tools that are need to explote data
tools = [hover, WheelZoomTool(), PanTool(), BoxZoomTool(), ResetTool(), SaveTool()]

#finally making figure with scatter plot
p = figure(tools=tools,title=title,plot_width=700,plot_height=400,toolbar_location='right',toolbar_sticky=False, )
p.scatter(x='valence',y='energy',source=source,size=10,color='color',legend=category)

#displaying the graph
show(p)

输出将显示为album_name Ctrl 所示 输出将显示为album_name Z

Answer 2

试试这个：

public WindowViewModel(Label userName)
{
    var us = GetUser(u => u.Id == 1);
    userName.Content = us.Name.ToString();
}

from bokeh.io import show from bokeh.models import ColumnDataSource, HoverTool from bokeh.plotting import figure album_names = [...] valence = [...] energy = [...] source = ColumnDataSource(data=dict(valence=valence, energy=energy, names=album_names)) p = figure(tools=[HoverTool(tooltips=[('Album Name', '@names'), ('Valence', '@valence'), ('Energy', '@energy')])]) p.scatter(x='valence', y='energy', size=8, source=source) show(p) 显示所有工具提示，因此您必须添加它并配置它以显示您想要的内容。 您可以在documentation。

中找到更多详细信息