modin.pandas.DatetimeIndex.strftime¶

DatetimeIndex.strftime(date_format: str) → ndarray[object_][source]¶

Convert to Index using specified date_format.

Return an Index 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.

Formats supported by the C strftime API but not by the python string format doc (such as “%%R”, “%%r”) are not officially supported and should be preferably replaced with their supported equivalents (such as “%%H:%%M”, “%%I:%%M:%%S %%p”).

Note that PeriodIndex support additional directives, detailed in Period.strftime.

Parameters:: date_format (str) – Date format string (e.g. “%%Y-%%m-%%d”).
Returns:: NumPy ndarray of formatted strings.
Return type:: ndarray[object]

See also

to_datetime: Convert the given argument to datetime.
DatetimeIndex.normalize: Return DatetimeIndex with times to midnight.
DatetimeIndex.round: Round the DatetimeIndex to the specified freq.
DatetimeIndex.floor: Floor the DatetimeIndex to the specified freq.
Timestamp.strftime: Format a single Timestamp.
Period.strftime: Format a single Period.

Examples

>>> rng = pd.date_range(pd.Timestamp("2018-03-10 09:00"),
...                     periods=3, freq=None)
>>> rng.strftime('%%B %%d, %%Y, %%r')  
Index(['March 10, 2018, 09:00:00 AM', 'March 10, 2018, 09:00:01 AM',
       'March 10, 2018, 09:00:02 AM'],
      dtype='object')