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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def strftime(self, date_format):
 """ 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 -------- Index(['March 10, 2018, 09:00:00 AM', 'March 10, 2018, 09:00:01 AM', 'March 10, 2018, 09:00:02 AM'], dtype='object') """

        from pandas import Index
        return Index(self._format_native_types(date_format=date_format))