xorbits.pandas.DataFrame.kurtosis#

DataFrame.kurtosis(axis=None, skipna=True, level=None, numeric_only=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), columns (1)}) –

    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) – Include only float, int, boolean columns. Not implemented for Series.

  • **kwargs – Additional keyword arguments to be passed to the function.

Returns

  • Series or scalar

  • This docstring was copied from pandas.core.frame.DataFrame.