implement formating for type='datetime' in dash-table

According typing page formatting can be configured only type='numeric'.

I would like to use locale datetime formating for datatime. E.g. something like 'locale' in folowing example:

import dash
import dash_table
import pandas as pd
from collections import OrderedDict

df = pd.DataFrame(OrderedDict([
    ('city', ['NYC', 'Montreal', 'Los Angeles']),
    ('max', [108, 99, 111]),
    ('max_date', ['1926-07-22', '1975-08-01', '1939-09-20']),
    ('min', [-15, -36, 28]),
    ('min_date', ['1934-02-09', '1957-01-15', '1913-01-07'])
]))

df.max_date = pd.to_datetime(df.max_date).dt.date
df.min_date = pd.to_datetime(df.min_date)
df['locale'] = df.min_date.apply(lambda x: x.strftime('%a, %x'))

app = dash.Dash(__name__)

app.layout = dash_table.DataTable(
    id='table',
    columns=[{"name": i, "id": i} for i in df.columns],
    style_cell_conditional=[
        {
            'if': {'column_id': 'max_date'},
            'textAlign': 'left',
            'type': 'datetime',
            'format': '%x, %a',
        }],
    data=df.to_dict('records'),
    sort_mode="multi",
    sort_action="native",
    )

if __name__ == '__main__':
    app.run_server(debug=True)

Problem of this example is that sorting of 'locale' is based on alphabet and I would like to have sorting based on date(time)

Start with the typing page linked in the issue and reproduce the provided dash_table.DataTable example. No source file or test is named in the report, so locate the datetime formatting and native sorting paths from the example. Done means type='datetime' accepts a format and sorts by the underlying date or time rather than the displayed locale string.