散景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。绘图默认显示 group=a 和 group=b 的行。当复选框 [1] 时，绘图将为 group=a1 和 group=b1 添加行。当取消选中 [1] 时，a1、b1 行应该从绘图中删除，但它们仍然留在绘图中。

以下是我的示例数据和示例代码。它可以直接在你的 jupyter notebook 中运行。谁能帮我吗？非常感谢！

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

很可能，问题（您已经更正了）与此行中的下划线有关：

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

当然应该是这样的：

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

所以您在源代码（不存在）中引用了a_1，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和取消注释的行后也应适用于 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：