total_seconds(self) -> 'np.ndarray'
This method is available directly on TimedeltaArray, TimedeltaIndex and on Series containing timedelta values under the .dt
namespace.
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 :None:None:`float64` whose index is the same as the original.
Return total duration of each element expressed in seconds.
TimedeltaIndex.components
Return a DataFrame with components of each Timedelta.
datetime.timedelta.total_seconds
Standard library version of this method.
Series
This example is valid syntax, but we were not able to check execution>>> s = pd.Series(pd.to_timedelta(np.arange(5), unit='d'))This example is valid syntax, but we were not able to check execution
... 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
This example is valid syntax, but we were not able to check execution>>> idx = pd.to_timedelta(np.arange(5), unit='d')This example is valid syntax, but we were not able to check execution
... 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')See :
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