xorbits.pandas.window.ExponentialMovingWindow.var#

ExponentialMovingWindow.var()#

Calculate the ewm (exponential weighted moment) variance.

参数

  • bias (bool, default False (Not supported yet)) – Use a standard estimation bias correction.

  • numeric_only (bool, default False (Not supported yet)) –

    Include only float, int, boolean columns.

    1.5.0(pandas) 新版功能.

返回

Return type is the same as the original object with np.float64 dtype.

返回类型

Series or DataFrame

参见

pandas.Series.ewm

Calling ewm with Series data.

pandas.DataFrame.ewm

Calling ewm with DataFrames.

pandas.Series.var

Aggregating var for Series.

pandas.DataFrame.var

Aggregating var for DataFrame.

实际案例

>>> ser = pd.Series([1, 2, 3, 4])  
>>> ser.ewm(alpha=.2).var()  
0         NaN
1    0.500000
2    0.991803
3    1.631547
dtype: float64

This docstring was copied from pandas.core.window.ewm.ExponentialMovingWindow.