pandas.Series.skew#
- Series.skew(axis=_NoDefault.no_default, skipna=True, level=None, numeric_only=None, **kwargs)[source]#
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.
- skipnabool, default True
Exclude NA/null values when computing the result.
- levelint or level name, default None
If the axis is a MultiIndex (hierarchical), count along a particular level, collapsing into a scalar.
Deprecated since version 1.3.0: The level keyword is deprecated. Use groupby instead.
- numeric_onlybool, 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 beFalse
in a future version of pandas.- **kwargs
Additional keyword arguments to be passed to the function.
- Returns
- scalar or Series (if level specified)