pandas.Timestamp.tz_localize — pandas 0.24.0rc1 documentation (original) (raw)

Timestamp. tz_localize

Convert naive Timestamp to local time zone, or remove timezone from tz-aware Timestamp.

Parameters: tz : str, pytz.timezone, dateutil.tz.tzfile or None Time zone for time which Timestamp will be converted to. None will remove timezone holding local time. ambiguous : bool, ‘NaT’, default ‘raise’ When clocks moved backward due to DST, ambiguous times may arise. For example in Central European Time (UTC+01), when going from 03:00 DST to 02:00 non-DST, 02:30:00 local time occurs both at 00:30:00 UTC and at 01:30:00 UTC. In such a situation, theambiguous parameter dictates how ambiguous times should be handled. bool contains flags to determine if time is dst or not (note that this flag is only applicable for ambiguous fall dst dates) ‘NaT’ will return NaT for an ambiguous time ‘raise’ will raise an AmbiguousTimeError for an ambiguous time 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. errors : ‘raise’, ‘coerce’, default None ‘raise’ will raise a NonExistentTimeError if a timestamp is not valid in the specified timezone (e.g. due to a transition from or to DST time). Use nonexistent='raise' instead. ‘coerce’ will return NaT if the timestamp can not be converted into the specified timezone. Use nonexistent='NaT' instead. Deprecated since version 0.24.0.
Returns: localized : Timestamp
Raises: TypeError If the Timestamp is tz-aware and tz is not None.