cudf.DataFrame.kurt

DataFrame.kurt(axis=None, skipna=True, level=None, numeric_only=None, **kwargs)

Return Fisher’s unbiased kurtosis of a sample.

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.

skipna: bool, default True

Exclude NA/null values when computing the result.

Returns

Series or scalar

Notes

Parameters currently not supported are level and numeric_only

Examples

Series

>>> import cudf
>>> series = cudf.Series([1, 2, 3, 4])
>>> series.kurtosis()
-1.1999999999999904

DataFrame

>>> import cudf
>>> df = cudf.DataFrame({'a': [1, 2, 3, 4], 'b': [7, 8, 9, 10]})
>>> df.kurt()
a   -1.2
b   -1.2
dtype: float64