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

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

Series.to_sparse(kind='block', fill_value=None) [source] Convert Series to SparseSeries Parameters: kind : {?block?, ?integer?} fill_value : float, defaults to NaN (missing) Returns: sp : SparseSeries

DataFrame.lt(other, axis='columns', level=None) [source] Wrapper for flexible comparison methods lt

DatetimeIndex.year The year of the datetime

DatetimeIndex.week The week ordinal of the year

MultiIndex.levels

CategoricalIndex.identical(other) [source] Similar to equals, but check that other comparable attributes are also equal

CategoricalIndex.names

By ?group by? we are referring to a process involving one or more of the following steps Splitting the data into groups based on some criteria Applying a function to each group independently Combining the results into a data structure Of these, the split step is the most straightforward. In fact, in many situations you may wish to split the data set into groups and do something with those groups yourself. In the apply step, we might wish to one of the following: Aggregation: computing