pandas.Series.dt.ceil

Perform ceil operation on the data to the specified freq.

param freq

str or Offset

The frequency level to ceil 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