pandas.PeriodIndex.strftime#

PeriodIndex.strftime(*args, **kwargs)[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.

Parameters

date_formatstr: Date format string (e.g. “%Y-%m-%d”).

Returns

ndarray[object]: NumPy ndarray of formatted strings.

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.

Examples

>>> rng = pd.date_range(pd.Timestamp("2018-03-10 09:00"),
...                     periods=3, freq='s')
>>> 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')

pandas.PeriodIndex.asfreq

pandas.PeriodIndex.to_timestamp