pandas.Series.kurt — pandas 3.0.0rc0+34.g04a554c9f1 documentation (original) (raw)

Series.kurt(*, axis=0, skipna=True, numeric_only=False, **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)}

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.

Added in version 2.0.0.

skipnabool, default True

Exclude NA/null values when computing the result.

numeric_onlybool, default False

Include only float, int, boolean columns.

**kwargs

Additional keyword arguments to be passed to the function.

Returns:

scalar

Unbiased kurtosis.

See also

Series.skew

Return unbiased skew over requested axis.

Series.var

Return unbiased variance over requested axis.

Series.std

Return unbiased standard deviation over requested axis.

Examples

s = pd.Series([1, 2, 2, 3], index=["cat", "dog", "dog", "mouse"]) s cat 1 dog 2 dog 2 mouse 3 dtype: int64 s.kurt() 1.5