pandas.Panel.compound

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

Return the compound percentage of the values for the requested axis.

Parameters:

Parameters:	`axis : {items (0), major_axis (1), minor_axis (2)}` Axis for the function to be applied on. `skipna : bool, default True` Exclude NA/null values when computing the result. `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 : bool, default None` Include only float, int, boolean columns. If None, will attempt to use everything, then use only numeric data. Not implemented for Series. **kwargs Additional keyword arguments to be passed to the function.
Returns:	`compounded : DataFrame or Panel (if level specified)`

axis : {items (0), major_axis (1), minor_axis (2)}: Axis for the function to be applied on.
skipna : bool, default True: Exclude NA/null values when computing the result.
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 : bool, default None: Include only float, int, boolean columns. If None, will attempt to use everything, then use only numeric data. Not implemented for Series.
**kwargs: Additional keyword arguments to be passed to the function.

Returns:

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Licensed under the 3-clause BSD License.
https://pandas.pydata.org/pandas-docs/version/0.24.2/reference/api/pandas.Panel.compound.html