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# pandas.Series.dt.as_unit

Series.dt.as_unit(unit, round_ok=True)

  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_ok bool, 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)