如何设置散景中选定/未选定字形的属性

我有一个由一些可观测值的时间序列组成的数据集，我想使用散景来查看时间序列中不同点的相图。我想知道的是如何更改选定或未选定字形的属性（在这种情况下，我想减少未选定点的 alpha 或更改选定点的颜色）。

下面的代码创建了我想要在 ipython 笔记本中的界面，并且基于中的示例用户手册 http://docs.bokeh.org/en/latest/docs/user_guide/interaction/linking.htmlhttp://docs.bokeh.org/en/latest/docs/user_guide/interaction/linking.html http://docs.bokeh.org/en/latest/docs/user_guide/interaction/linking.html。我找不到任何明显的选项来设置，我真的不想为了这一件事而学习 javascript。

import numpy as np
from pandas import DataFrame
from bokeh.plotting import figure, output_notebook, show, gridplot
from bokeh.models import ColumnDataSource, widgets

def znzt_ts():#, plot_antisym=False, **kwargs):
    t = np.arange(1000)
    Eu = np.sin(t * np.pi/10) + np.random.random(1000)
    Ez = np.cos(t * np.pi/10) + np.random.random(1000)
    ts = DataFrame({'t': t, 'Eu': Eu, 'Ez': Ez})
    tools = 'box_zoom,pan,reset,save,box_select'
    source = ColumnDataSource(data=ts)
    original_source = ColumnDataSource(data=ts)

    p1 = figure(plot_width=300, plot_height=300, 
                tools=tools)
    p2 = figure(plot_width=300, plot_height=300, tools=tools,)
    p1.circle('t', 'Eu', source=source, size=1)
    p2.circle('Eu', 'Ez', source=source, size=1)
    return gridplot([[p1, p2]])

gp = znzt_ts()
output_notebook()
show(gp)

本节向您展示如何执行此操作：

https://docs.bokeh.org/en/latest/docs/user_guide/styling.html#selected-and-unselected-glyphs https://docs.bokeh.org/en/latest/docs/user_guide/styling.html#selected-and-unselected-glyphs

您需要设置selection_glyph and nonselection_glyph将圆形渲染器转换为具有所需属性的字形。

在手册中，通过在p.circle(..., name="mycircle")调用然后使用renderer = p.select(name="mycircle")。您还可以在渲染器返回时保存对渲染器的引用p.circle(...)功能：renderer = p.circle('t', 'Eu', source=source, line_color=None).

一旦获得了渲染器的引用，您就可以分配字形：

renderer.selection_glyph = Circle(fill_color='firebrick', line_color=None)
renderer.nonselection_glyph = Circle(fill_color='#1f77b4', fill_alpha=0.1, line_color=None)

import numpy as np
from pandas import DataFrame
from bokeh.plotting import figure, output_notebook, show, gridplot
from bokeh.models import ColumnDataSource, widgets
from bokeh.models.glyphs import Circle

def znzt_ts():#, plot_antisym=False, **kwargs):
    t = np.arange(1000)
    Eu = np.sin(t * np.pi/10) + np.random.random(1000)
    Ez = np.cos(t * np.pi/10) + np.random.random(1000)
    ts = DataFrame({'t': t, 'Eu': Eu, 'Ez': Ez})
    tools = 'box_zoom,pan,reset,save,box_select'
    source = ColumnDataSource(data=ts)
    original_source = ColumnDataSource(data=ts)

    selection_glyph = Circle(fill_color='firebrick', line_color=None)
    nonselection_glyph = Circle(fill_color='#1f77b4', fill_alpha=0.1, line_color=None)

    p1 = figure(plot_width=300, plot_height=300, tools=tools)
    r1 = p1.circle('t', 'Eu', source=source, line_color=None)
    r1.selection_glyph = selection_glyph
    r1.nonselection_glyph = nonselection_glyph


    p2 = figure(plot_width=300, plot_height=300, tools=tools)
    r2 = p2.circle('Eu', 'Ez', source=source, line_color=None)
    r2.selection_glyph = selection_glyph
    r2.nonselection_glyph = nonselection_glyph
    return gridplot([[p1, p2]])

gp = znzt_ts()
output_notebook()
show(gp)