# pandas.DatetimeIndex.tz_convert

DatetimeIndex.tz_convert(tz)

  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')