xorbits.pandas.window.ExponentialMovingWindow.std#

ExponentialMovingWindow.std()#

Calculate the ewm (exponential weighted moment) standard deviation.

Parameters

  • 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.

    New in version 1.5.0(pandas).

Returns

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

Return type

Series or DataFrame

See also

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.

Examples

>>> 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.