pandas.core.window.rolling.Rolling.skew#

Rolling.skew(numeric_only=False)[source]#

Calculate the rolling unbiased skewness.

Parameters:
numeric_onlybool, default False

Include only float, int, boolean columns.

New in version 1.5.0.

Returns:
Series or DataFrame

Return type is the same as the original object with np.float64 dtype.

See also

scipy.stats.skew

Third moment of a probability density.

Series.rolling

Calling rolling with Series data.

DataFrame.rolling

Calling rolling with DataFrames.

Series.skew

Aggregating skew for Series.

DataFrame.skew

Aggregating skew for DataFrame.

Notes

A minimum of three periods is required for the rolling calculation.

Examples

>>> ser = pd.Series([1, 5, 2, 7, 15, 6])
>>> ser.rolling(3).skew().round(6)
0         NaN
1         NaN
2    1.293343
3   -0.585583
4    0.670284
5    1.652317
dtype: float64