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/pandas 0.25

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)

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Licensed under the 3-clause BSD License.
https://pandas.pydata.org/pandas-docs/version/0.25.0/reference/api/pandas.Series.skew.html