Bokeh: Verwenden von Checkbox-Widget zum Ausblenden und Anzeigen von Plots

Question

Ich habe einige Schwierigkeiten, den Widget-Rückruf mit Bokeh zu verwenden. Mit Hilfe eines Checkbox-Widgets möchte ich die entsprechenden Plots ein-/ausblenden.

Der Unterschied mit this question, ist, dass ich eine Grafik für jede Glyphe (und nicht alle Glyphen auf einer einzigen Parzelle) möchte. Wenn ich für "example" ein Häkchen bei "b" anklicke, möchte ich ein neues Diagramm der Glyphe sehen.

Edit: Neue Version von meinem Code

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) 

Answer 1

Es ist einfacher, es on_click Handler statt CustomJS Rückruf mit Python zu realisieren:

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()