pandas.Series.dt.as_unit#

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

Convert to a dtype with the given unit resolution.

The limits of timestamp representation depend on the chosen resolution. Different resolutions can be converted to each other through as_unit.

Parameters:

unit{‘s’, ‘ms’, ‘us’, ‘ns’}
round_okbool, default True: If False and the conversion requires rounding, raise ValueError.

Returns:

same type as self: Converted to the specified unit.

See also

Timestamp.as_unit: Convert to the given unit.

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)