Logo Questions Linux Laravel Mysql Ubuntu Git Menu
 

Bokeh widget-Working Checkbox Group Example

Tags:

python

bokeh

I am evaluating Bokeh to see if it is ready for more extensive use. I have plotted two columns of a dataframe (code at the end), "Close" and "Adj Close". enter image description here

I want to put in checkboxes to toggle the display of both the line graphs in the plot. So if the relevant checkbox is unchecked the line does not appear. The Bokeh documentation at http://docs.bokeh.org/en/latest/docs/user_guide/interaction.html does talk about checkbox group but doesn't provide an explicit working example. I would appreciate any help in getting checkboxes working for columns of a dataframe.

import pandas as pd
from bokeh.plotting import figure, output_file, show

IBM = pd.read_csv(
        "http://ichart.yahoo.com/table.csv?s=IBM&a=0&b=1&c=2011&d=0&e=1&f=2016",
        parse_dates=['Date'])

output_file("datetime.html")

p = figure(width=500, height=250, x_axis_type="datetime")

p.line(IBM['Date'], IBM['Close'], color='navy', alpha=0.5)
p.line(IBM['Date'], IBM['Adj Close'], color='red', alpha=0.5)

show(p)
like image 796
Spinor8 Avatar asked Mar 20 '16 18:03

Spinor8


1 Answers

This is obviously a late reply but I'm currently trying to learn python and bokeh to hack out some sort of data dashboard. I was trying to figure out how the checkboxes worked and I stumbled on your question. This solution only works with bokeh serve . I don't know how to make it work in an HTML output.

I'm only modifying the line visibility and not the source. I didn't try it yet but I'm sure the legends would still show the invisible lines

Apologies for duct tape code.

#-| bokeh serve
#-|

import pandas as pd
from bokeh.io import curdoc,output_file, show
from bokeh.layouts import row, widgetbox
from bokeh.plotting import figure
from bokeh.models import ColumnDataSource
from bokeh.models.widgets import *

#Widgets

ticker = TextInput(title='Ticker Symbol',value='IBM')
button=Button(label='Lookup',button_type='success')
log = Paragraph(text="""log""",
width=200, height=100)
cb_group = CheckboxButtonGroup(labels=['Close', 'Adj Close'],active=[0,1])
cb_group.labels.append('Placebo')

#Plot

p = figure(title='',width=500, height=250, x_axis_type='datetime')

source = ColumnDataSource({'x': [], 'y1': [],'y2': []})

lineClose=p.line('x','y1',source=source, color='navy', alpha=0.5)
lineAdj=p.line('x','y2',source=source, color='red', alpha=0.5)

lines=[lineClose,lineAdj]

#Event handling

def error(msg):
    log.text=msg

def update_data():
    try:
        src='http://ichart.yahoo.com/table.csv?s={symb}&a=0&b=1&c=2011&d=0&e=1&f=2016'.format(symb=ticker.value)
        df=pd.read_csv(src,parse_dates=['Date'])
        source.data=({'x': df['Date'], 'y1': df['Close'],'y2': df['Adj Close']})
    except:
        error('Error ticker')

def update_plot(new):

    switch=cb_group.active
    for x in range(0,len(lines)):
        if x in switch:
            lines[x].visible=True
        else:
            lines[x].visible=False

    error('<CheckboxButtonGroup>.active = '+str(switch))

button.on_click(update_data)
cb_group.on_click(update_plot)


inputs=widgetbox(ticker,button,cb_group,log)

curdoc().add_root(row(inputs,p,width=800))
curdoc().title = 'Bokeh Checkbox Example'
button.clicks=1

I added the 'Placebo' checkbox to see if I could append to the checkbox group instead of the typical method so I'm sure there's a way to more elegantly and dynamically add checkboxes.

enter image description here

like image 122
moxlisp Avatar answered Oct 13 '22 04:10

moxlisp