>>> import datetime
>>> df = session.create_dataframe([datetime.datetime(2023, 4, 16), datetime.datetime(2017, 4, 3, 2, 59, 37, 153)], schema=['a'])
>>> df.select(to_char(col('a')).as_('ans')).collect()
[Row(ANS='2023-04-16 00:00:00.000'), Row(ANS='2017-04-03 02:59:37.000')]