I have a datatable that is driven by a ColumnDataSource().
My column headers are dynamically assigned depending on the data that is selected.
I have a Select() dropdown set up with dropdown.select.on_change() and in the update function I pull the new data and assign using:
table.data = {}
However I want to change the column names during the on_change() call.
I don't see a simple way to accomplish this in the documentation.
Not officially supported but you can just assign new columns to your table like this (working for Bokeh v1.0.4). Run with bokeh serve --show app.py
from random import random
from bokeh.io import curdoc
from bokeh.models import ColumnDataSource, DataTable, TableColumn, StringEditor, IntEditor, NumberEditor
source = ColumnDataSource(dict(index = [0], NAME = ["bar"], ID = [1], S1 = [2]))
original_columns = [
TableColumn(field = "NAME", title = "Name", editor = StringEditor(), name = 'custom_header_name'),
TableColumn(field = "ID", title = "ID", editor = IntEditor()),
TableColumn(field = "S1", title = "Value", editor = NumberEditor()) ]
modyfied_columns = [
TableColumn(field = "NAME", title = "Foo", editor = StringEditor(), name = 'custom_header_name'),
TableColumn(field = "ID", title = "Bar", editor = IntEditor()),
TableColumn(field = "S1", title = "Oeps", editor = NumberEditor()) ]
data_table = DataTable(source = source, width = 1000, height = 80, columns = original_columns)
data_table.height = 2000
i = 0
def update_data():
global i, data_table, original_columns
if i % 2 == 0:
data_table.columns = modyfied_columns
else:
data_table.columns = original_columns
NAME, ID, S1 = "foo", i, random()
i += 1
data = dict(index = [i], NAME = [NAME], ID = [ID], S1 = [S1])
source.stream(data, 500)
curdoc().add_root(data_table)
curdoc().add_periodic_callback(update_data, 500)
Result;
