pandas.core.window.ewm.ExponentialMovingWindow.var#
- ExponentialMovingWindow.var(bias=False, *args, **kwargs)[source]#
- Calculate the ewm (exponential weighted moment) variance. - Parameters
- biasbool, default False
- Use a standard estimation bias correction. 
- *args
- For NumPy compatibility and will not have an effect on the result. 
- **kwargs
- For NumPy compatibility and will not have an effect on the result. 
 
- Returns
- Series or DataFrame
- Return type is the same as the original object with - np.float64dtype.
 
 - See also - 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.