xorbits.pandas.Series.dt.total_seconds#

Series.dt.total_seconds(*args, **kwargs)#

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.

返回

When the calling object is a TimedeltaArray, the return type is ndarray. When the calling object is a TimedeltaIndex, the return type is an Index with a float64 dtype. When the calling object is a Series, the return type is Series of type float64 whose index is the same as the original.

返回类型

ndarray, Index or Series

参见

datetime.timedelta.total_seconds

Standard library version of this method.

TimedeltaIndex.components

Return a DataFrame with components of each Timedelta.

实际案例

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()  
Index([0.0, 86400.0, 172800.0, 259200.0, 345600.0], dtype='float64')

This docstring was copied from pandas.core.indexes.accessors.CombinedDatetimelikeProperties.