pandas.Panel.compound

Panel.compound(axis=None, skipna=None, level=None) [source]

Return the compound percentage of the values for the requested axis

Parameters:

axis : {items (0), major_axis (1), minor_axis (2)} 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 DataFrame numeric_only : boolean, default None Include only float, int, boolean columns. If None, will attempt to use everything, then use only numeric data. Not implemented for Series.

Returns:

compounded : DataFrame or Panel (if level specified)