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
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.