pandas.Series.tz_convert

Series.tz_convert(tz, axis=0, level=None, copy=<no_default>)

Convert tz-aware axis to target time zone.

Parameters:

tzstr or tzinfo object or None

Target time zone. Passing None will convert to UTC and remove the timezone information.

axis{0 or ‘index’, 1 or ‘columns’}, default 0

The axis to convert

levelint, str, default None

If axis is a MultiIndex, convert a specific level. Otherwise must be None.

copybool, default False

This keyword is now ignored; changing its value will have no impact on the method.

Deprecated since version 3.0.0: This keyword is ignored and will be removed in pandas 4.0. Since pandas 3.0, this method always returns a new object using a lazy copy mechanism that defers copies until necessary (Copy-on-Write). See the user guide on Copy-on-Write for more details.

Returns:

Series/DataFrame

Object with time zone converted axis.

Raises:

TypeError

If the axis is tz-naive.

See also

DataFrame.tz_localize

Localize tz-naive index of DataFrame to target time zone.

Series.tz_localize

Localize tz-naive index of Series to target time zone.

Examples

Change to another time zone:

>>> s = pd.Series(
...     [1],
...     index=pd.DatetimeIndex(["2018-09-15 01:30:00+02:00"]),
... )
>>> s.tz_convert("Asia/Shanghai")
2018-09-15 07:30:00+08:00    1
dtype: int64

Pass None to convert to UTC and get a tz-naive index:

>>> s = pd.Series([1], index=pd.DatetimeIndex(["2018-09-15 01:30:00+02:00"]))
>>> s.tz_convert(None)
2018-09-14 23:30:00    1
dtype: int64