问题
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.
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)
回答1:
Most likely, the problem (which you already corrected) was with the underscore in this line:
temp.append(selection1.labels[i]+ "_" + selection2.labels[b])
Which should be, of course:
temp.append(selection1.labels[i] + selection2.labels[b])
So you were referencing a_1 in the source (which doesn't exist) instead of a1.
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)
Result:
来源：https://stackoverflow.com/questions/55445655/bokeh-interactive-dashboard-can-not-remove-lines-from-plot