mars.dataframe.Series.dt.strftime

Series.dt.strftime(*args, **kwargs)

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

NumPy ndarray of formatted strings.

Return type

ndarray

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

>>> import mars.dataframe as md
>>> rng = md.date_range(md.Timestamp("2018-03-10 09:00"),
...                     periods=3, freq='s')
>>> rng.strftime('%B %d, %Y, %r').execute()
Index(['March 10, 2018, 09:00:00 AM', 'March 10, 2018, 09:00:01 AM',
       'March 10, 2018, 09:00:02 AM'],
      dtype='object')

mars.dataframe.Series.dt.normalize mars.dataframe.Series.dt.round