pandas.Series.tz_localize

Series.tz_localize(tz, axis=0, level=None, copy=True, ambiguous='raise')

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

infer_dst : boolean, default False

Deprecated since version 0.15.0: Attempt to infer fall dst-transition hours based on order

Raises:

TypeError

If the TimeSeries is tz-aware and tz is not None.