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pandas.core.window.Rolling.kurt

Rolling.kurt(**kwargs)[source]

Calculate unbiased rolling kurtosis.

This function uses Fisher’s definition of kurtosis without bias.

Parameters:
**kwargs

Under Review.

Returns:
Series or DataFrame

Returned object type is determined by the caller of the rolling calculation

See also

Series.rolling
Calling object with Series data.
DataFrame.rolling
Calling object with DataFrames.
Series.kurt
Equivalent method for Series.
DataFrame.kurt
Equivalent method for DataFrame.
scipy.stats.skew
Third moment of a probability density.
scipy.stats.kurtosis
Reference SciPy method.

Notes

A minimum of 4 periods is required for the rolling calculation.

Examples

The example below will show a rolling calculation with a window size of four matching the equivalent function call using scipy.stats.

>>> arr = [1, 2, 3, 4, 999]
>>> fmt = "{0:.6f}"  # limit the printed precision to 6 digits
>>> import scipy.stats
>>> print(fmt.format(scipy.stats.kurtosis(arr[:-1], bias=False)))
-1.200000
>>> print(fmt.format(scipy.stats.kurtosis(arr[1:], bias=False)))
3.999946
>>> s = pd.Series(arr)
>>> s.rolling(4).kurt()
0         NaN
1         NaN
2         NaN
3   -1.200000
4    3.999946
dtype: float64
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