pandas.core.window.ewm.ExponentialMovingWindow.var
- ExponentialMovingWindow.var(bias=False, *args, **kwargs)[source]
-
Calculate the ewm (exponential weighted moment) variance.
- Parameters
-
- bias:bool, 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.
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.
© 2008–2021, AQR Capital Management, LLC, Lambda Foundry, Inc. and PyData Development Team
Licensed under the 3-clause BSD License.
https://pandas.pydata.org/pandas-docs/version/1.3.4/reference/api/pandas.core.window.ewm.ExponentialMovingWindow.var.html