xorbits.pandas.window.Rolling.skew#

Rolling.skew(*args, **kwargs)[source]#

Calculate the rolling unbiased skewness.

Parameters

numeric_only (bool, default False (Not supported yet)) –

Include only float, int, boolean columns.

New in version 1.5.0(pandas).

Returns

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

Return type

Series or DataFrame

See also

scipy.stats.skew: Third moment of a probability density.
pandas.Series.rolling: Calling rolling with Series data.
pandas.DataFrame.rolling: Calling rolling with DataFrames.
pandas.Series.skew: Aggregating skew for Series.
pandas.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, 12, 6])  
>>> ser.rolling(3).skew().round(6)  
0         NaN
1         NaN
2    1.293343
3   -0.585583
4    0.000000
5    1.545393
dtype: float64

This docstring was copied from pandas.core.window.rolling.Rolling.