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Panel.compound(axis=None, skipna=None, level=None)
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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)
Panel.compound()
2017-01-12 04:50:52
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