cudf.core.series.DatetimeProperties.strftime#
- DatetimeProperties.strftime(date_format, *args, **kwargs)#
Convert to Series using specified
date_format
.Return a Series of formatted strings specified by
date_format
, which supports the same string format as the python standard library. Details of the string format can be found in python string format doc.- Parameters
- date_formatstr
Date format string (e.g. “%Y-%m-%d”).
- Returns
- Series
Series of formatted strings.
Notes
The following date format identifiers are not yet supported:
%c
,%x
,``%X``Examples
>>> import cudf >>> import pandas as pd >>> weekday_series = cudf.Series(pd.date_range("2000-01-01", periods=3, ... freq="q")) >>> weekday_series.dt.strftime("%Y-%m-%d") >>> weekday_series 0 2000-03-31 1 2000-06-30 2 2000-09-30 dtype: datetime64[ns] 0 2000-03-31 1 2000-06-30 2 2000-09-30 dtype: object >>> weekday_series.dt.strftime("%Y %d %m") 0 2000 31 03 1 2000 30 06 2 2000 30 09 dtype: object >>> weekday_series.dt.strftime("%Y / %d / %m") 0 2000 / 31 / 03 1 2000 / 30 / 06 2 2000 / 30 / 09 dtype: object