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

Localize tz-naive TimeSeries to target time zone.

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


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

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