bigframes.pandas.api.typing.DatetimeMethods.strftime#
- DatetimeMethods.strftime(date_format: str) Series[source]#
Convert to string Series using specified date_format.
Return a Series of formatted strings specified by date_format. Details of the string format can be found in BigQuery format elements doc: https://cloud.google.com/bigquery/docs/reference/standard-sql/format-elements#format_elements_date_time.
Examples:
>>> import bigframes.pandas as bpd
>>> s = bpd.to_datetime( ... ['2014-08-15 08:15:12', '2012-02-29 08:15:12+06:00', '2015-08-15 08:15:12+05:00'], ... utc=True ... ).astype("timestamp[us, tz=UTC][pyarrow]")
>>> s.dt.strftime("%B %d, %Y, %r") 0 August 15, 2014, 08:15:12 AM 1 February 29, 2012, 02:15:12 AM 2 August 15, 2015, 03:15:12 AM dtype: string
- Parameters:
date_format (str) ā Date format string (e.g. ā%Y-%m-%dā).
- Returns:
Series of formatted strings.
- Return type: