I have 2 bokeh rows. The top row contains a DataTable
and a TextInput
, both of which are able to stretch_width
in order to fit the width of the browser. The bottom row contains a gridplot
, which is able to stretch_width
, but only does so by distorting the scale of the image. Ideally, I would like the gridplot
to update the amount of columns displayed based on the size of the browser.
Consider the following example:
import pandas as pd
from bokeh.models.widgets import DataTable, TableColumn
from bokeh.models import ColumnDataSource, TextInput
from bokeh.plotting import figure, output_file, save
from bokeh.layouts import row, column, gridplot
def get_datatable():
"""this can stretch width without issue"""
df = pd.DataFrame({'a': [0, 1, 2], 'b': [2, 3, 4]})
source = ColumnDataSource(df)
Columns = [TableColumn(field=i, title=i) for i in df.columns]
data_table = DataTable(columns=Columns, source=source, sizing_mode='stretch_width', max_width=9999)
return data_table
def get_text_input():
"""this can stretch width without issue"""
return TextInput(value='Example', title='Title', sizing_mode="stretch_width", max_width=9999)
def get_gridplot():
"""
this requires columns to be hard-coded
stretch_width is an option, but only distorts the images if enabled
"""
figs = []
for _ in range(30):
fig = figure(x_range=(0,10), y_range=(0,10))
_ = fig.image_rgba(image=[], x=0, y=0)
figs.append(fig)
return gridplot(children=figs, ncols=2)
top_row = row([get_datatable(), get_text_input()], max_width=9999, sizing_mode='stretch_width')
bottom_row = row(get_gridplot())
col = column(top_row, bottom_row, sizing_mode="stretch_width")
output_file("example.html")
save(col)
My end goal is to have the gridplot
automatically update the amount of columns based on the width of the browser. Is there a way to do this natively in bokeh? If not, is it possible to do this via a CustomJs
javascript callback?
from Can bokeh dynamically update the number of columns in a gridplot?
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