散景交互式仪表板无法从情节中删除线条 [英] Bokeh interactive dashboard can not remove lines from plot

问题描述

我正在开发我的第一个python Bokeh交互式仪表板.绘图默认显示组= a和组= b的线.选中复选框[1]时，绘图将为group = a1和group = b1添加线.取消选中[1]时，应将a1，b1行从图中删除，但它们仍保留在图中.

I am working on my first python Bokeh interactive dashboard. Plot default shows lines for group=a and group=b. When check box[1], plot will add lines for group=a1 and group=b1. When uncheck [1], line a1, b1 are supposed to be removed from plot, but they still stay in the plot.

下面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！

Below is my sample data and sample code. It can directly run in your jupyter notebook. Can any one help me out? Thank you very much!

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)

推荐答案

最有可能的问题(您已经纠正)是此行中的下划线:

Most likely, the problem (which you already corrected) was with the underscore in this line:

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

当然应该是:

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

因此，您在源文件中引用了a_1(不存在)，而不是a1.

So you were referencing a_1 in the source (which doesn't exist) instead of a1.

如果您取消选中复选框，则可以随时改进代码以隐藏行.此代码适用于Bokeh服务器v1.0.4，但在删除标记的行块和注释行后，它也应适用于Jupyter Notebook)

I felt free to improve your code to also hide the lines if you unselect the checkboxes. This code is for a Bokeh server v1.0.4 but should also work for Jupyter Notebook after removing the marked line block and uncomenting commented lines)

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:

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