mars.dataframe.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
seconds – 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.
- 返回类型
[ndarray, Float64Index, 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
>>> import mars.tensor as mt >>> import mars.dataframe as md >>> s = md.Series(md.to_timedelta(mt.arange(5), unit='d')) >>> s.execute() 0 0 days 1 1 days 2 2 days 3 3 days 4 4 days dtype: timedelta64[ns]
>>> s.dt.total_seconds().execute() 0 0.0 1 86400.0 2 172800.0 3 259200.0 4 345600.0 dtype: float64
TimedeltaIndex
>>> idx = md.to_timedelta(mt.arange(5), unit='d') >>> idx.execute() TimedeltaIndex(['0 days', '1 days', '2 days', '3 days', '4 days'], dtype='timedelta64[ns]', freq=None)
>>> idx.total_seconds().execute() Float64Index([0.0, 86400.0, 172800.0, 259200.00000000003, 345600.0], dtype='float64')