xorbits.pandas.window.Rolling.kurt#
- Rolling.kurt(*args, **kwargs)[source]#
Calculate the rolling Fisher’s definition of kurtosis without bias.
- Parameters
numeric_only (bool, default False (Not supported yet)) –
Include only float, int, boolean columns.
New in version 1.5.0(pandas).
- Returns
Return type is the same as the original object with
np.float64
dtype.- Return type
See also
scipy.stats.kurtosis
Reference SciPy method.
pandas.Series.rolling
Calling rolling with Series data.
pandas.DataFrame.rolling
Calling rolling with DataFrames.
pandas.Series.kurt
Aggregating kurt for Series.
pandas.DataFrame.kurt
Aggregating kurt for DataFrame.
Notes
A minimum of four periods is required for the 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] >>> import scipy.stats >>> print(f"{scipy.stats.kurtosis(arr[:-1], bias=False):.6f}") -1.200000 >>> print(f"{scipy.stats.kurtosis(arr[1:], bias=False):.6f}") 3.999946 >>> s = pd.Series(arr) >>> s.rolling(4).kurt() 0 NaN 1 NaN 2 NaN 3 -1.200000 4 3.999946 dtype: float64
This docstring was copied from pandas.core.window.rolling.Rolling.