# pandas.Panel.tz_localize

`Panel.``tz_localize`(*args, **kwargs)

  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)

  > Attempt to infer fall dst-transition hours based on order

  Raises:

  TypeError

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