TimedeltaIndex.values

TimedeltaIndex.values return the underlying data as an ndarray

TimedeltaIndex.unique()

TimedeltaIndex.unique() [source] Return Index of unique values in the object. Significantly faster than numpy.unique. Includes NA values. The order of the original is preserved. Returns: uniques : Index

TimedeltaIndex.union()

TimedeltaIndex.union(other) [source] Specialized union for TimedeltaIndex objects. If combine overlapping ranges with the same DateOffset, will be much faster than Index.union Parameters: other : TimedeltaIndex or array-like Returns: y : Index or TimedeltaIndex

TimedeltaIndex.transpose()

TimedeltaIndex.transpose(*args, **kwargs) [source] return the transpose, which is by definition self

TimedeltaIndex.to_series()

TimedeltaIndex.to_series(**kwargs) [source] Create a Series with both index and values equal to the index keys useful with map for returning an indexer based on an index Returns: Series : dtype will be based on the type of the Index values.

TimedeltaIndex.to_pytimedelta()

TimedeltaIndex.to_pytimedelta() [source] Return TimedeltaIndex as object ndarray of datetime.timedelta objects Returns: datetimes : ndarray

TimedeltaIndex.to_native_types()

TimedeltaIndex.to_native_types(slicer=None, **kwargs) [source] slice and dice then format

TimedeltaIndex.to_datetime()

TimedeltaIndex.to_datetime(dayfirst=False) [source] DEPRECATED: use pandas.to_datetime() instead. For an Index containing strings or datetime.datetime objects, attempt conversion to DatetimeIndex

TimedeltaIndex.total_seconds()

TimedeltaIndex.total_seconds() [source] Total duration of each element expressed in seconds. New in version 0.17.0.

TimedeltaIndex.tolist()

TimedeltaIndex.tolist() [source] return a list of the underlying data