xorbits.pandas.window.ExponentialMovingWindow.std#
- ExponentialMovingWindow.std()#
Calculate the ewm (exponential weighted moment) standard deviation.
- 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
参见
pandas.Series.ewm
Calling ewm with Series data.
pandas.DataFrame.ewm
Calling ewm with DataFrames.
pandas.Series.std
Aggregating std for Series.
pandas.DataFrame.std
Aggregating std for DataFrame.
实际案例
>>> ser = pd.Series([1, 2, 3, 4]) >>> ser.ewm(alpha=.2).std() 0 NaN 1 0.707107 2 0.995893 3 1.277320 dtype: float64
This docstring was copied from pandas.core.window.ewm.ExponentialMovingWindow.