pandas.arrays.DatetimeArray.strftime — pandas 0.24.0rc1 documentation (original) (raw)
DatetimeArray. strftime(date_format)[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_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')