pandas.DataFrame.tz_localize¶
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DataFrame.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.