TimedeltaIndex.groupby(values) [source] Group the index labels by a given array of values. Parameters: values : array Values used to determine the groups. Returns: groups : dict {group name -> group labels}

pandas.read_pickle(path) [source] Load pickled pandas object (or any other pickled object) from the specified file path Warning: Loading pickled data received from untrusted sources can be unsafe. See: http://docs.python.org/2.7/library/pickle.html Parameters: path : string File path Returns: unpickled : type of object stored in file

CategoricalIndex.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.

Panel4D.set_axis(axis, labels) [source] public verson of axis assignment

DataFrame.cummax(axis=None, skipna=True, *args, **kwargs) [source] Return cumulative max over requested axis. Parameters: axis : {index (0), columns (1)} skipna : boolean, default True Exclude NA/null values. If an entire row/column is NA, the result will be NA Returns: cummax : Series

DatetimeIndex.to_pydatetime() [source] Return DatetimeIndex as object ndarray of datetime.datetime objects Returns: datetimes : ndarray

MultiIndex.dropna(how='any') [source] Return Index without NA/NaN values Parameters: how : {?any?, ?all?}, default ?any? If the Index is a MultiIndex, drop the value when any or all levels are NaN. Returns: valid : Index

DataFrame.style Property returning a Styler object containing methods for building a styled HTML representation fo the DataFrame. See also pandas.formats.style.Styler

Panel.xs(key, axis=1) [source] Return slice of panel along selected axis Parameters: key : object Label axis : {?items?, ?major?, ?minor}, default 1/?major? Returns: y : ndim(self)-1 Notes xs is only for getting, not setting values. MultiIndex Slicers is a generic way to get/set values on any level or levels and is a superset of xs functionality, see MultiIndex Slicers

CategoricalIndex.is_all_dates = None