pandas.Series.tz_localize

Series.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.