pandas.Series.dt.tz_convert¶
-
Series.dt.
tz_convert
(*args, **kwargs)[source]¶ Convert tz-aware DatetimeIndex from one time zone to another.
Parameters: tz : string, pytz.timezone, dateutil.tz.tzfile or None
Time zone for time. Corresponding timestamps would be converted to this time zone of the DatetimeIndex. A tz of None will convert to UTC and remove the timezone information.
Returns: - normalized : DatetimeIndex
Raises: TypeError
If DatetimeIndex 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.DatetimeIndex(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.DatetimeIndex(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')