xorbits.pandas.Series.kurt#

Series.kurt(axis=None, skipna=True, level=None, combine_size=None, bias=False, fisher=True, method=None)#

Return unbiased kurtosis over requested axis.

Kurtosis obtained using Fisher’s definition of kurtosis (kurtosis of normal == 0.0). Normalized by N-1.

Parameters

axis ({index (0)}) –
Axis for the function to be applied on. For Series this parameter is unused and defaults to 0.

For DataFrames, specifying axis=None will apply the aggregation across both axes.

New in version 2.0.0(pandas).
skipna (bool, default True) – Exclude NA/null values when computing the result.
numeric_only (bool, default False (Not supported yet)) – Include only float, int, boolean columns. Not implemented for Series.
**kwargs – Additional keyword arguments to be passed to the function.

Returns