# pandas.Series.dt.round¶

Perform round operation on the data to the specified freq.

- param freq
- str or Offset
The frequency level to round the index to. Must be a fixed frequency like ‘S’ (second) not ‘ME’ (month end). See frequency aliases for a list of possible freq values.

- param ambiguous
- ‘infer’, bool-ndarray, ‘NaT’, default ‘raise’
Only relevant for DatetimeIndex:

- ‘infer’ will attempt to infer fall dst-transition hours based on
order

- bool-ndarray where True signifies a DST time, False designates
a non-DST time (note that this flag is only applicable for ambiguous times)

‘NaT’ will return NaT where there are ambiguous times

- ‘raise’ will raise an AmbiguousTimeError if there are ambiguous
times

New in version 0.24.0.

- param nonexistent
- ‘shift_forward’, ‘shift_backward’, ‘NaT’, timedelta, default ‘raise’
A nonexistent time does not exist in a particular timezone where clocks moved forward due to DST.

- ‘shift_forward’ will shift the nonexistent time forward to the
closest existing time

- ‘shift_backward’ will shift the nonexistent time backward to the
closest existing time

‘NaT’ will return NaT where there are nonexistent times

timedelta objects will shift nonexistent times by the timedelta

- ‘raise’ will raise an NonExistentTimeError if there are
nonexistent times

New in version 0.24.0.

- return
DatetimeIndex, TimedeltaIndex, or Series Index of the same type for a DatetimeIndex or TimedeltaIndex, or a Series with the same index for a Series.

- raises
ValueError if the freq cannot be converted.

Warning

This feature is currently unsupported by Intel Scalable Dataframe Compiler