pandas.core.window.ewm.ExponentialMovingWindow.var#
- ExponentialMovingWindow.var(bias=False, numeric_only=False, *args, **kwargs)[source]#
Calculate the ewm (exponential weighted moment) variance.
- Parameters
- biasbool, default False
Use a standard estimation bias correction.
- numeric_onlybool, default False
Include only float, int, boolean columns.
New in version 1.5.0.
- *args
For NumPy compatibility and will not have an effect on the result.
Deprecated since version 1.5.0.
- **kwargs
For NumPy compatibility and will not have an effect on the result.
Deprecated since version 1.5.0.
- Returns
- Series or DataFrame
Return type is the same as the original object with
np.float64dtype.
See also
pandas.Series.ewmCalling ewm with Series data.
pandas.DataFrame.ewmCalling ewm with DataFrames.
pandas.Series.varAggregating var for Series.
pandas.DataFrame.varAggregating var for DataFrame.