Bokeh: DataTable - how to set selected rows

Question

I would like to change the DataTable object row selection programmatically (without JS, just python). I have tried to so using the selected property of the underlying ColumnsSource with no success. How can this be done?

Answer 1

You can select DataTable rows programmatically in python in this way:

source.selected.indices = [list of indices to be selected]

where source is the ColumnDataSource for the DataTable. If you have any callbacks for the source.selected here, remember to select the rows only after registering the callbacks so that they will get called.

Answer 2

See an example app (needs bokeh serve to run) where pressing the button changes the selected rows, then updates both a table and plot. Is this all the functionality you need?

By the way you could just do it in JS and not need to use bokeh server, but if you have more python functionality going on then i guess you need it.

from datetime import date
from random import randint

from bokeh.io import output_file, show, curdoc
from bokeh.plotting import figure
from bokeh.layouts import widgetbox, row
from bokeh.models import ColumnDataSource
from bokeh.models.widgets import DataTable, DateFormatter, TableColumn,Button

output_file("data_table.html")

data = dict(
        dates=[date(2014, 3, i+1) for i in range(10)],
        downloads=[randint(0, 100) for i in range(10)],
    )

def update():
    #set inds to be selected
    inds = [1,2,3,4]
    source.selected = {'0d': {'glyph': None, 'indices': []},
                                '1d': {'indices': inds}, '2d': {}}
    # set plot data
    plot_dates = [data['dates'][i] for i in inds]
    plot_downloads = [data['downloads'][i] for i in inds]
    plot_source.data['dates'] = plot_dates
    plot_source.data['downloads'] = plot_downloads


source = ColumnDataSource(data)
plot_source = ColumnDataSource({'dates':[],'downloads':[]})


table_button = Button(label="Press to set", button_type="success")
table_button.on_click(update)
columns = [
        TableColumn(field="dates", title="Date", formatter=DateFormatter()),
        TableColumn(field="downloads", title="Downloads"),
    ]
data_table = DataTable(source=source, columns=columns, width=400, height=280)

p = figure(plot_width=400, plot_height=400)

# add a circle renderer with a size, color, and alpha
p.circle('dates','downloads',source=plot_source, size=20, color="navy", alpha=0.5)


curdoc().add_root(row([table_button,data_table,p]))