code: def strftime(self, date_format):
          
          from pandas import Index
          return Index(self._format_native_types(date_format=date_format))
docs: 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 <%(URL)s>`__.
  
          Parameters
          ----------
          date_format : str
              Date format string (e.g. "%%Y-%%m-%%d").
  
          Returns
          -------
          Index
              Index 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')