pandas.Series.skew

Series.skew(self, axis=None, skipna=None, level=None, numeric_only=None, **kwargs) [source]

Return unbiased skew over requested axis Normalized by N-1.

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:

scalar or Series (if level specified)