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.

  • skipna (bool, default True) – Exclude NA/null values when computing the result.

  • level (int or level name, default None) –

    If the axis is a MultiIndex (hierarchical), count along a particular level, collapsing into a Series.

    Deprecated since version 1.3.0: The level keyword is deprecated. Use groupby instead.

  • numeric_only (bool, default None) –

    Include only float, int, boolean columns. If None, will attempt to use everything, then use only numeric data. Not implemented for Series.

    Deprecated since version 1.5.0: Specifying numeric_only=None is deprecated. The default value will be False in a future version of pandas.

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

Return type

Series or DataFrame (if level specified)

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