pandas.DataFrame.kurtosis¶
- DataFrame.kurtosis(axis=_NoDefault.no_default, skipna=True, level=None, numeric_only=None, **kwargs)[source]¶
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.
- 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 Series.
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=Noneis deprecated. The default value will beFalsein a future version of pandas.- **kwargs
Additional keyword arguments to be passed to the function.
- Returns:
- Series or DataFrame (if level specified)