Panel4D.apply(func, axis='major', **kwargs) [source] Applies function along axis (or axes) of the Panel Parameters: func : function Function to apply to each combination of ?other? axes e.g. if axis = ?items?, the combination of major_axis/minor_axis will each be passed as a Series; if axis = (?items?, ?major?), DataFrames of items & major axis will be passed axis : {?items?, ?minor?, ?major?}, or {0, 1, 2}, or a tuple with two axes Additional keyword arguments will be passed as ke

Panel4D.add_suffix(suffix) [source] Concatenate suffix string with panel items names. Parameters: suffix : string Returns: with_suffix : type of caller

Panel4D.all(axis=None, bool_only=None, skipna=None, level=None, **kwargs) [source] Return whether all elements are True over requested axis Parameters: axis : {labels (0), items (1), major_axis (2), minor_axis (3)} skipna : boolean, default True Exclude NA/null values. If an entire row/column is NA, the result will be NA level : int or level name, default None If the axis is a MultiIndex (hierarchical), count along a particular level, collapsing into a Panel bool_only : boolean, defaul

Panel4D.align(other, **kwargs) [source]

Panel4D.add_prefix(prefix) [source] Concatenate prefix string with panel items names. Parameters: prefix : string Returns: with_prefix : type of caller

Panel4D.add(other, axis=0) [source] Addition of series and other, element-wise (binary operator add). Equivalent to panel + other. Parameters: other : Panel or Panel4D axis : {labels, items, major_axis, minor_axis} Axis to broadcast over Returns: Panel4D See also Panel4D.radd

Panel4D.abs() [source] Return an object with absolute value taken?only applicable to objects that are all numeric. Returns: abs: type of caller

class pandas.Panel4D(data=None, labels=None, items=None, major_axis=None, minor_axis=None, copy=False, dtype=None) [source] Panel4D is a 4-Dimensional named container very much like a Panel, but having 4 named dimensions. It is intended as a test bed for more N-Dimensional named containers. DEPRECATED. Panel4D is deprecated and will be removed in a future version. The recommended way to represent these types of n-dimensional data are with the xarray package. Pandas provides a .to_xarray() m

Panel.__iter__() [source] Iterate over infor axis

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