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.float64 dtype.

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.

pandas.core.window.ewm.ExponentialMovingWindow.std pandas.core.window.ewm.ExponentialMovingWindow.corr