I think either MultiSelect or multi-line plot is broken.....

I’m trying to plot multiple lines (mutli_line) depending on what the user selects (MultiSelect). When I set the initialized values in MutlitSelect I get the proper lines; however, when I try to select more than one value in the MultiSelect widget the plot breaks. The weird thing is that I can select one value in the MultiSelect widget the plot with work. Here is an example piece of code which illustrates this:

import pandas as pd

import numpy as np

import datetime as dt

from bokeh.models import (HoverTool, PanTool, WheelZoomTool,

BoxZoomTool, ResetTool, SaveTool)

from bokeh.palettes import RdYlBu11

from bokeh.plotting import figure, show, output_file, ColumnDataSource

from bokeh.io import curdoc

from bokeh.layouts import row, column

from bokeh.models.widgets import MultiSelect

def create_ts(n_pnts=100):

return np.sin(np.linspace(0, 2, n_pnts)) + np.random.normal(0, .2, n_pnts)

def create_dates(start_date, n_dates):

return [start_date + dt.timedelta(days=i) for i in range(n_dates)]

ts_dict = {‘ts1’:create_ts(100), ‘ts2’:create_ts(100), ‘ts3’:create_ts(100),

‘ts4’:create_ts(100), ‘ts5’:create_ts(100)}

dates = create_dates(dt.date(2016,01,01), 100)

source_ts = ColumnDataSource(data=dict(xs=, ys=, color=))

-------------

Setup widgets

-------------

ms_loc = MultiSelect(

title=‘Market Location’,

value=[ts_dict.keys()[0],ts_dict.keys()[2]],

options=ts_dict.keys(),

width=300)

----------------------------------

Set county color depending on what

is selected in MultiSelect

----------------------------------

def set_color(n_selected):

colors_used =

for i in range(n_selected):

l = i - (i/len(RdYlBu11))*len(RdYlBu11)

colors_used.append(RdYlBu11[l])

return colors_used

---------------------

Set up maps and plots

---------------------

TOOLS = “pan,wheel_zoom,box_zoom,reset,hover,save”

ts = figure(plot_width=1000, plot_height=700, tools=TOOLS,

x_axis_type=‘datetime’)

ts.multi_line(‘xs’, ‘ys’, source=source_ts, color=‘color’)

ts.yaxis.axis_label = ‘Monthly Averaged Market Price’

ts.xaxis.axis_label = ‘Date’

---------

Callbacks

---------

def select_change(attrname, old, new):

update()

def update():

ts_list = ms_loc.value

color_used = set_color(len(ts_list))

ts_dates = [dates for t in range(len(ts_list))]

vals =

for k in ts_list:

vals.append(list(ts_dict[k]))

source_ts.data[‘xs’] = ts_dates

source_ts.data[‘ys’] = vals

source_ts.data[‘color’] = color_used

ms_loc.on_change(‘value’, select_change)

---------------

Arrange widgets

---------------

layout = column(ms_loc, ts)

-----------------

Initialize graph

-----------------

update()

curdoc().add_root(layout)

curdoc().title = “test”

``

I’m using Bokeh version 0.12.1.

Any help is greatly appreciated.

Thanks.

Can you be more specific about breaks. Wh at
did you expect to happen, wh at did happen, screenshots are
useful.

···

On 8/3/16 10:11 AM, Eric wrote:

    I'm trying to plot multiple lines (mutli_line)

depending on what the user selects (MultiSelect). When I set the
initialized values in MutlitSelect I get the proper lines;
however, when I try to select more than one value in the
MultiSelect widget the plot breaks. The weird thing is that I
can select one value in the MultiSelect widget the plot with
work. Here is an example piece of code which illustrates this:

import pandas as pd

import numpy as np

import datetime as dt

                from bokeh.models import

(HoverTool, PanTool, WheelZoomTool,

BoxZoomTool, ResetTool, SaveTool)

                from bokeh.palettes import

RdYlBu11

                from bokeh.plotting import

figure, show, output_file, ColumnDataSource

                from bokeh.io import

curdoc

                from bokeh.layouts import

row, column

                from bokeh.models.widgets

import MultiSelect

def create_ts(n_pnts=100):

                return

np.sin(np.linspace(0, 2, n_pnts)) +
np.random.normal(0, .2, n_pnts)

                def

create_dates(start_date, n_dates):

                return [start_date +

dt.timedelta(days=i) for i in range(n_dates)]

                ts_dict =

{‘ts1’:create_ts(100), ‘ts2’:create_ts(100),
‘ts3’:create_ts(100),

‘ts4’:create_ts(100), ‘ts5’:create_ts(100)}

                dates =

create_dates(dt.date(2016,01,01), 100)

                source_ts =

ColumnDataSource(data=dict(xs=, ys=, color=))

-------------

Setup widgets

-------------

ms_loc = MultiSelect(

                title='Market

Location’,

value=[ts_dict.keys()[0],ts_dict.keys()[2]],

options=ts_dict.keys(),

width=300)

                #

                # Set county color

depending on what

                # is selected in

MultiSelect

                #

def set_color(n_selected):

colors_used =

                for i in

range(n_selected):

                l = i -

(i/len(RdYlBu11))*len(RdYlBu11)

colors_used.append(RdYlBu11[l])

return colors_used

---------------------

Set up maps and plots

---------------------

                TOOLS =

“pan,wheel_zoom,box_zoom,reset,hover,save”

                ts =

figure(plot_width=1000, plot_height=700,
tools=TOOLS,

x_axis_type=‘datetime’)

                ts.multi_line('xs', 'ys',

source=source_ts, color=‘color’)

                ts.yaxis.axis_label =

‘Monthly Averaged Market Price’

                ts.xaxis.axis_label =

‘Date’

---------

Callbacks

---------

                def

select_change(attrname, old, new):

update()

def update():

ts_list = ms_loc.value

                color_used =

set_color(len(ts_list))

                ts_dates = [dates for

t in range(len(ts_list))]

vals =

for k in ts_list:

vals.append(list(ts_dict[k]))

                source_ts.data['xs'] =

ts_dates

                source_ts.data['ys'] =

vals

source_ts.data[‘color’] = color_used

                ms_loc.on_change('value',

select_change)

---------------

Arrange widgets

---------------

                layout = column(ms_loc,

ts)

-----------------

Initialize graph

-----------------

update()

curdoc().add_root(layout)

curdoc().title = “test”

``

I’m using Bokeh version 0.12.1.

Any help is greatly appreciated.

Thanks.

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Sarah Bird
Developer, Bokeh

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