parameters: (self)
return_statement: return self._maybe_mask_results(1e-9 * self.asi8, fill_value=None)
docstring: 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')
docstring_summary: Return total duration of each element expressed in seconds.
docstring_tokens: Return total duration of each element expressed in seconds .
function: def total_seconds(self):
          """
          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')
          """
          return self._maybe_mask_results(1e-9 * self.asi8, fill_value=None)
function_tokens: def total_seconds ( self ) : return self . _maybe_mask_results ( 1e-9 * self . asi8 , fill_value = None )