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Showing content from https://pandas.pydata.org/docs/reference/api/pandas.DatetimeIndex.time.html below:

pandas.DatetimeIndex.time — pandas 2.3.1 documentation

property DatetimeIndex.time[source]#

Returns numpy array of datetime.time objects.

The time part of the Timestamps.

Examples

For Series:

>>> s = pd.Series(["1/1/2020 10:00:00+00:00", "2/1/2020 11:00:00+00:00"])
>>> s = pd.to_datetime(s)
>>> s
0   2020-01-01 10:00:00+00:00
1   2020-02-01 11:00:00+00:00
dtype: datetime64[ns, UTC]
>>> s.dt.time
0    10:00:00
1    11:00:00
dtype: object

For DatetimeIndex:

>>> idx = pd.DatetimeIndex(["1/1/2020 10:00:00+00:00",
...                         "2/1/2020 11:00:00+00:00"])
>>> idx.time
array([datetime.time(10, 0), datetime.time(11, 0)], dtype=object)

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