xorbits.pandas.Series.skew#

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

Return unbiased skew over requested axis.

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

  • scalar or scalar

  • This docstring was copied from pandas.core.series.Series.