Bokeh：使用复选框小部件隐藏和显示绘图

我在将 Widget 回调与 Bokeh 一起使用时遇到一些困难。在复选框小部件的帮助下，我想显示/隐藏相应的绘图。

与的区别这个问题 https://stackoverflow.com/questions/38705123/using-multiselect-widget-to-hide-and-show-lines-in-bokeh，是我想要每个字形的图（而不是同一图上的所有字形）。为了example https://i.stack.imgur.com/S84tK.png，如果我勾选/取消勾选“b”，我想看到一个新的字形图。

编辑：我的代码的新版本

    from bokeh.io import output_file, show
    from bokeh.layouts import column, widgetbox, row
    from bokeh.models import ColumnDataSource
    from bokeh.plotting import figure
    from bokeh.models.widgets import CheckboxGroup
    from bokeh.models import CustomJS
    import pandas as pd
    import numpy as np

    if __name__ == '__main__':

        # Plot tools
        TOOLS = 'box_select,box_zoom,reset'

        # Data Source
    df = pd.DataFrame(np.random.randn(10, 5), columns=['a', 'b', 'c', 'd', 'e'])
    source = ColumnDataSource(df)

    # Create a new glyph and share ranges
    g = figure(plot_width=1300, plot_height=150, title='a', tools=TOOLS)
    g.circle(source=source, x='a', y='a')

    glyph_list = []

    for glyph in range(0, len(source.column_names)):
        glyph_list.append((figure(plot_width=1300, plot_height=150, x_range=g.x_range, title=source.column_names[glyph],
                                 tools=TOOLS)))

        glyph_list[glyph].circle(source=source, x='a', y=source.column_names[glyph])

    # Select the glyphs to plot
    initial_list = [0] * len(source.column_names)

    ## example of a change
    initial_list[2] = 1

    # Callback
    code = """
            ????
          """

    callback = CustomJS(args=dict(source=source), code=code) #????

    # Add checkbox widget
    checkbox_group = CheckboxGroup(labels=source.column_names,
                                   callback=callback,
                                   active=initial_list)

    plot_list = []
    for i in range(0, len(source.column_names)):
        if checkbox_group.active[i] == 1:
            plot_list.append(glyph_list[i])

    checkbox_group.js_on_change('active', callback) # ???


    layout = row(column(plot_list), widgetbox(checkbox_group))
    show(layout)

使用 Python on_click 处理程序而不是 CustomJS 回调更容易实现它：

from bokeh.layouts import column
from bokeh.models import ColumnDataSource
from bokeh.models.widgets import CheckboxGroup
from bokeh.plotting import curdoc, figure
from bokeh.client import push_session
import pandas as pd
import numpy as np

df = pd.DataFrame(np.random.randn(10, 4), columns = ['a', 'b', 'c', 'd'])
source = ColumnDataSource(df)

def checkbox_click_handler(selected_checkboxes):
    visible_glyphs = layout.children
    for index, glyph in enumerate(glyph_list):
        if index in selected_checkboxes:
            if glyph not in visible_glyphs:
                layout.children.append(glyph)
        else:
            if glyph in visible_glyphs:
                layout.children.remove(glyph)

checkbox_group = CheckboxGroup(labels = list(df.columns.values), active = [0, 1, 2, 3, 4])
checkbox_group.on_click(checkbox_click_handler)

layout = column()
layout.children.append(checkbox_group)

glyph_list = []
for index, letter in enumerate(df.columns.values):
    glyph = figure(plot_width = 800, plot_height = 240, title = letter, name = letter)
    glyph.circle(source = source, x = 'a', y = letter)
    glyph_list.append(glyph)
    layout.children.append(glyph)

session = push_session(document = curdoc())
session.show(layout)
session.loop_until_closed()