pandas.Series.dt.strftime¶
-
Series.dt.
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_format : str
Date format string (e.g. “%Y-%m-%d”).
Returns: Index
Index of formatted strings
See also
pandas.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')