TimedeltaIndex.values return the underlying data as an ndarray

TimedeltaIndex.value_counts(normalize=False, sort=True, ascending=False, bins=None, dropna=True) [source] Returns object containing counts of unique values. The resulting object will be in descending order so that the first element is the most frequently-occurring element. Excludes NA values by default. Parameters: normalize : boolean, default False If True then the object returned will contain the relative frequencies of the unique values. sort : boolean, default True Sort by values a

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

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

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

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

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

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