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

pandas.DatetimeIndex.as_unit — pandas 2.3.1 documentation

DatetimeIndex.as_unit(*args, **kwargs)[source]#

Convert to a dtype with the given unit resolution.

Parameters:

unit{‘s’, ‘ms’, ‘us’, ‘ns’}

Returns:

same type as self

Examples

For pandas.DatetimeIndex:

>>> idx = pd.DatetimeIndex(['2020-01-02 01:02:03.004005006'])
>>> idx
DatetimeIndex(['2020-01-02 01:02:03.004005006'],
              dtype='datetime64[ns]', freq=None)
>>> idx.as_unit('s')
DatetimeIndex(['2020-01-02 01:02:03'], dtype='datetime64[s]', freq=None)

For pandas.TimedeltaIndex:

>>> tdelta_idx = pd.to_timedelta(['1 day 3 min 2 us 42 ns'])
>>> tdelta_idx
TimedeltaIndex(['1 days 00:03:00.000002042'],
                dtype='timedelta64[ns]', freq=None)
>>> tdelta_idx.as_unit('s')
TimedeltaIndex(['1 days 00:03:00'], dtype='timedelta64[s]', freq=None)

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