pandas.Series.compound

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

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

Parameters:

Parameters:	`axis : {index (0)}` 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 scalar. `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 : scalar or Series (if level specified)`

axis : {index (0)}: 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 scalar.
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:

© 2008–2012, AQR Capital Management, LLC, Lambda Foundry, Inc. and PyData Development Team
Licensed under the 3-clause BSD License.
https://pandas.pydata.org/pandas-docs/version/0.24.2/reference/api/pandas.Series.compound.html