pyspark.pandas.DatetimeIndex.round#

DatetimeIndex.round(freq, *args, **kwargs)[source]#

Perform round operation on the data to the specified freq.

Parameters
freqstr or Offset

The frequency level to round the index to. Must be a fixed frequency like β€˜S’ (second) not β€˜ME’ (month end).

Returns
DatetimeIndex
Raises
ValueError if the freq cannot be converted.

Examples

>>> rng = ps.date_range('1/1/2018 11:59:00', periods=3, freq='min')  
>>> rng.round("H")  
DatetimeIndex(['2018-01-01 12:00:00', '2018-01-01 12:00:00',
               '2018-01-01 12:00:00'],
              dtype='datetime64[ns]', freq=None)