Bokeh交互式仪表板无法从绘图中删除线条

Question

我正在开发我的第一个python Bokeh交互式仪表板。 Plot默认显示group = a和group = b的行。复选框[1]时，绘图将为group = a1和group = b1添加行。当取消选中[1]时，应该从绘图中删除a1，b1行，但它们仍然保留在绘图中。

以下是我的示例数据和示例代码。它可以直接在您的jupyter笔记本中运行。谁能帮我吗？非常感谢你！

import pandas as pd
import numpy as np
import matplotlib.pylab as plt
from bokeh.io import show, output_notebook, push_notebook
from bokeh.plotting import figure
from bokeh.models import CategoricalColorMapper, HoverTool, ColumnDataSource, Panel
from bokeh.models.widgets import CheckboxGroup, Slider, RangeSlider, Tabs

from bokeh.layouts import column, row, WidgetBox
from bokeh.palettes import Category20_16

from bokeh.application.handlers import FunctionHandler
from bokeh.application import Application
from bokeh.palettes import Category10


output_notebook()

data=[['a',1,0],['a',2,1],['a1',1,0],['a1',2,2],['b',1,0],['b',2,3],['b1',1,0],['b1',2,4]]
df=pd.DataFrame(data,columns=['group','time','rate'])


def modify_doc(doc):


    def update(attr,old,new):

        temp=[]
        for i in selection1.active:
            for b in selection2.active:
                temp.append(selection1.labels[i]+selection2.labels[b]   )

        to_plot=temp

        for i in range(len(to_plot)):
            source = ColumnDataSource(
             data={'x':df.loc[df.group == to_plot[i]].time,
                   'group':df.loc[df.group == to_plot[i]].group,
                   'y':df.loc[df.group == to_plot[i]].rate})

            p3.line(x='x',
                    y='y',
                    source=source,
                    legend=to_plot[i],
                     color = (Category10[10])[i])


    selection1=CheckboxGroup(labels=['a','b'],active=[0,1]  )
    selection1.on_change('active',update)   
    selection2=CheckboxGroup(labels=['1'] )
    selection2.on_change('active',update)


    to_plot=['a','b']
    p3 = figure()
    for i in range(len(to_plot)):
        source = ColumnDataSource(
        data={'x':df.loc[df.group == to_plot[i]].time,
                   'group':df.loc[df.group == to_plot[i]].group,
                   'y':df.loc[df.group == to_plot[i]].rate})

        p3.line(x='x',
                    y='y',
                    source=source,
                    legend=to_plot[i],
                    color = (Category10[10])[i])   


    controls=WidgetBox(selection1,selection2)

    layout=row(controls,p3)
    tab=Panel(child=layout,title='test')
    tabs=Tabs(tabs=[tab]) 
    doc.add_root(tabs)

handler=FunctionHandler(modify_doc)
app=Application(handler)

show(app)

Answer 1

最有可能的是，问题（您已经纠正过）与此行中的下划线有关：

temp.append(selection1.labels[i]+ "_" + selection2.labels[b])

当然应该是：

temp.append(selection1.labels[i] + selection2.labels[b])

所以你在源代码中引用了a_1（它不存在）而不是a1。

如果您取消选中复选框，我可以随意改进您的代码以隐藏行。此代码适用于Bokeh服务器v1.0.4，但在删除标记的行块并取消注释注释行后也应适用于Jupyter Notebook

import random
import pandas as pd
from tornado.ioloop import IOLoop
from bokeh.server.server import Server
from bokeh.application import Application
from bokeh.application.handlers.function import FunctionHandler
from bokeh.plotting import figure, ColumnDataSource
from bokeh.models import CheckboxGroup, Panel, Tabs, WidgetBox, Row
from bokeh.palettes import Category10

data = [['a', 1, 0], ['a', 2, 1], ['a1', 1, 0], ['a1', 2, 2], ['b', 1, 0], ['b', 2, 3], ['b1', 1, 0], ['b1', 2, 4]]
df = pd.DataFrame(data, columns = ['group', 'time', 'rate'])

def modify_doc(doc):
    lines = []

    def create_plots(to_plot):
        for i in range(len(to_plot)):
            source = ColumnDataSource(
            data = {'x':df.loc[df.group == to_plot[i]].time,
                   'group':df.loc[df.group == to_plot[i]].group,
                   'y':df.loc[df.group == to_plot[i]].rate})

            lines.append(p3.line(x = 'x',
                                 y = 'y',
                                 source = source,
                                 legend = to_plot[i],
                                 color = (Category10[10])[i]))
            p3.legend.click_policy = 'hide'

    def update(attr, old, new):
        for i in [0, 1]:
            if i not in selection1.active:
                lines[i].visible = False
            else:
                lines[i].visible = True

        if selection2.active:
            if len(lines) < 3:
                temp = []
                for i in selection1.active:
                    lines[i].visible = True
                    for b in selection2.active:
                        temp.append(selection1.labels[i] + selection2.labels[b])
                create_plots(temp)
            else:
                for i in range(2, 4):
                    if (i - 2) in selection1.active:
                        lines[i].visible = True
                    else:
                        lines[i].visible = False
        elif len(lines) > 2:
            for i in range(2, 4):
                if (i - 2) in selection1.active:
                    lines[i].visible = False

    selection1 = CheckboxGroup(labels = ['a', 'b'], active = [0, 1], width = 40)
    selection1.on_change('active', update)
    selection2 = CheckboxGroup(labels = ['1'], width = 40)
    selection2.on_change('active', update)

    p3 = figure()
    create_plots(['a', 'b'])

    controls = WidgetBox(selection1, selection2, width = 40)
    layout = Row(controls, p3)
    tab = Panel(child = layout, title = 'test')
    tabs = Tabs(tabs = [tab])
    doc.add_root(tabs)

# handler = FunctionHandler(modify_doc)
# app = Application(handler)

#########################################################################

io_loop = IOLoop.current()
server = Server(applications = {'/myapp': Application(FunctionHandler(modify_doc))}, io_loop = io_loop, port = 5001)
server.start()
server.show('/myapp')
io_loop.start()

#########################################################################

# show(app)

结果：