Panel.groupby()

Panel.groupby(function, axis='major') [source] Group data on given axis, returning GroupBy object Parameters: function : callable Mapping function for chosen access axis : {?major?, ?minor?, ?items?}, default ?major? Returns: grouped : PanelGroupBy

MultiIndex.get_loc_level()

MultiIndex.get_loc_level(key, level=0, drop_level=True) [source] Get integer location slice for requested label or tuple Parameters: key : label or tuple level : int/level name or list thereof Returns: loc : int or slice object

Panel.last()

Panel.last(offset) [source] Convenience method for subsetting final periods of time series data based on a date offset. Parameters: offset : string, DateOffset, dateutil.relativedelta Returns: subset : type of caller Examples ts.last(?5M?) -> Last 5 months

MultiIndex.order()

MultiIndex.order(return_indexer=False, ascending=True) [source] Return sorted copy of Index DEPRECATED: use Index.sort_values()

Panel4D.keys()

Panel4D.keys() [source] Get the ?info axis? (see Indexing for more) This is index for Series, columns for DataFrame and major_axis for Panel.

CategoricalIndex.name

CategoricalIndex.name = None

Panel.to_excel()

Panel.to_excel(path, na_rep='', engine=None, **kwargs) [source] Write each DataFrame in Panel to a separate excel sheet Parameters: path : string or ExcelWriter object File path or existing ExcelWriter na_rep : string, default ?? Missing data representation engine : string, default None write engine to use - you can also set this via the options io.excel.xlsx.writer, io.excel.xls.writer, and io.excel.xlsm.writer. Other Parameters: float_format : string, default None Format string

CategoricalIndex.sort_values()

CategoricalIndex.sort_values(return_indexer=False, ascending=True) [source] Return sorted copy of Index

Series.is_unique

Series.is_unique Return boolean if values in the object are unique Returns: is_unique : boolean

Panel.eq()

Panel.eq(other, axis=None) [source] Wrapper for comparison method eq