pandas.DataFrame.kurtosis

DataFrame.kurtosis(axis=None, skipna=None, level=None, numeric_only=None, **kwargs) [source]

Return unbiased kurtosis over requested axis using Fisher’s definition of kurtosis (kurtosis of normal == 0.0). Normalized by N-1.

Parameters:

Parameters:	`axis : {index (0), columns (1)}` Axis for the function to be applied on. `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. `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. **kwargs Additional keyword arguments to be passed to the function.
Returns:	`kurt : Series or DataFrame (if level specified)`

axis : {index (0), columns (1)}: Axis for the function to be applied on.
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.
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.
**kwargs: Additional keyword arguments to be passed to the function.

Returns:

© 2008–2012, AQR Capital Management, LLC, Lambda Foundry, Inc. and PyData Development Team
Licensed under the 3-clause BSD License.
https://pandas.pydata.org/pandas-docs/version/0.24.2/reference/api/pandas.DataFrame.kurtosis.html