# pandas.Series.dt.tz_convert

`Series.dt.``tz_convert`(*args, **kwargs)

  Convert tz-aware Datetime Array/Index from one time zone to another.

  Parameters:

  tz : str, pytz.timezone, dateutil.tz.tzfile or None

  > Time zone for time. Corresponding timestamps would be converted to this time zone of the Datetime Array/Index. A tz of None will convert to UTC and remove the timezone information.

  Returns: | Array or Index

  Raises:

  TypeError

  > If Datetime Array/Index is tz-naive.

  See also

  `DatetimeIndex.tz`
    A timezone that has a variable offset from UTC.
  `DatetimeIndex.tz_localize`
    Localize tz-naive DatetimeIndex to a given time zone, or remove timezone from a tz-aware DatetimeIndex.

  Examples

  With the tz parameter, we can change the DatetimeIndex to other time zones:

      >>> dti = pd.date_range(start='2014-08-01 09:00',
      ...                     freq='H', periods=3, tz='Europe/Berlin')

      >>> dti
      DatetimeIndex(['2014-08-01 09:00:00+02:00',
                     '2014-08-01 10:00:00+02:00',
                     '2014-08-01 11:00:00+02:00'],
                    dtype='datetime64[ns, Europe/Berlin]', freq='H')

      >>> dti.tz_convert('US/Central')
      DatetimeIndex(['2014-08-01 02:00:00-05:00',
                     '2014-08-01 03:00:00-05:00',
                     '2014-08-01 04:00:00-05:00'],
                    dtype='datetime64[ns, US/Central]', freq='H')

  With the `tz=None`, we can remove the timezone (after converting to UTC if necessary):

      >>> dti = pd.date_range(start='2014-08-01 09:00', freq='H',
      ...                     periods=3, tz='Europe/Berlin')

      >>> dti
      DatetimeIndex(['2014-08-01 09:00:00+02:00',
                     '2014-08-01 10:00:00+02:00',
                     '2014-08-01 11:00:00+02:00'],
                      dtype='datetime64[ns, Europe/Berlin]', freq='H')

      >>> dti.tz_convert(None)
      DatetimeIndex(['2014-08-01 07:00:00',
                     '2014-08-01 08:00:00',
                     '2014-08-01 09:00:00'],
                      dtype='datetime64[ns]', freq='H')

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