pandas.core.window.rolling.Rolling.skew
- Rolling.skew(numeric_only=False)[source]
-
Calculate the rolling unbiased skewness.
- Parameters:
-
- numeric_only:bool, default False
-
Include only float, int, boolean columns.
Added 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.
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, 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
© 2008–2011, AQR Capital Management, LLC, Lambda Foundry, Inc. and PyData Development Team
© 2011–2025, Open source contributors
Licensed under the 3-clause BSD License.
https://pandas.pydata.org/pandas-docs/version/2.3.0/reference/api/pandas.core.window.rolling.Rolling.skew.html