Currently this option is not supported within a dash_table.DataTable element. However, there is a workaround by adding two dbc.Button() parts to your Dash layout, the first for selecting all and the second for deselecting all. Then have an @app.callback that (de)selects all once the button is clicked.
You will get something like this:
No rows selected:
All rows selected after button click:
The callback on its turn would look something like the following (thanks to @neilpanchal in this git issue):
from loguru import logger
import dash
...
@app.callback(
[Output('df-table', 'selected_rows')],
[
Input('select-all-button', 'n_clicks'),
Input('deselect-all-button', 'n_clicks')
],
[
State('df-table', 'data'),
State('df-table', 'derived_virtual_data'),
State('df-table', 'derived_virtual_selected_rows')
]
)
def select_all(select_n_clicks, deselect_n_clicks, original_rows, filtered_rows, selected_rows):
ctx = dash.callback_context.triggered[0]
ctx_caller = ctx['prop_id']
if filtered_rows is not None:
if ctx_caller == 'select-all-button.n_clicks':
logger.info("Selecting all rows..")
selected_ids = [row for row in filtered_rows]
return [[i for i, row in enumerate(original_rows) if row in selected_ids]]
if ctx_caller == 'deselect-all-button.n_clicks':
logger.info("Deselecting all rows..")
return [[]]
raise PreventUpdate
else:
raise PreventUpdate
