pandas.core.window.expanding.Expanding.skew#
- Expanding.skew(numeric_only=False)[source]#
Calculate the expanding unbiased skewness.
- Parameters:
- numeric_onlybool, 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.expanding
Calling expanding with Series data.
pandas.DataFrame.expanding
Calling expanding 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, 0, 2, -1, 2], index=['a', 'b', 'c', 'd', 'e']) >>> ser.expanding().skew() a NaN b NaN c 0.935220 d 1.414214 e 0.315356 dtype: float64