pandas.Panel.tz_localize¶
-
Panel.
tz_localize
(tz, axis=0, level=None, copy=True, ambiguous='raise')[source]¶ Localize tz-naive TimeSeries to target time zone.
Parameters: - tz : string or pytz.timezone object
- axis : the axis to localize
level : int, str, default None
If axis ia a MultiIndex, localize a specific level. Otherwise must be None
copy : boolean, default True
Also make a copy of the underlying data
ambiguous : ‘infer’, bool-ndarray, ‘NaT’, default ‘raise’
- ‘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
Raises: TypeError
If the TimeSeries is tz-aware and tz is not None.