def total_seconds(self):
return self._maybe_mask_results(<NUM_LIT> * self.asi8, fill_value=None)<EOL>
Return total duration of each element expressed in seconds.

This method is available directly on TimedeltaArray, TimedeltaIndex
and on Series containing timedelta values under the ``.dt`` namespace.

Returns
-------
seconds : [ndarray, Float64Index, Series]
    When the calling object is a TimedeltaArray, the return type
    is ndarray.  When the calling object is a TimedeltaIndex,
    the return type is a Float64Index. When the calling object
    is a Series, the return type is Series of type `float64` whose
    index is the same as the original.

See Also
--------
datetime.timedelta.total_seconds : Standard library version
    of this method.
TimedeltaIndex.components : Return a DataFrame with components of
    each Timedelta.

Examples
--------
**Series**

>>> s = pd.Series(pd.to_timedelta(np.arange(5), unit='d'))
>>> s
0   0 days
1   1 days
2   2 days
3   3 days
4   4 days
dtype: timedelta64[ns]

>>> s.dt.total_seconds()
0         0.0
1     86400.0
2    172800.0
3    259200.0
4    345600.0
dtype: float64

**TimedeltaIndex**

>>> idx = pd.to_timedelta(np.arange(5), unit='d')
>>> idx
TimedeltaIndex(['0 days', '1 days', '2 days', '3 days', '4 days'],
               dtype='timedelta64[ns]', freq=None)

>>> idx.total_seconds()
Float64Index([0.0, 86400.0, 172800.0, 259200.00000000003, 345600.0],
             dtype='float64')