pandas.core.window.ewm.EWM.cov¶

EWM.cov(self, other=None, pairwise=None, bias=False, **kwargs)[source]¶

Exponential weighted sample covariance.

Parameters

otherSeries, DataFrame, or ndarray, optional: If not supplied then will default to self and produce pairwise output.
pairwisebool, default None: If False then only matching columns between self and other will be used and the output will be a DataFrame. If True then all pairwise combinations will be calculated and the output will be a MultiIndex DataFrame in the case of DataFrame inputs. In the case of missing elements, only complete pairwise observations will be used.
biasbool, default False: Use a standard estimation bias correction.
**kwargs: Keyword arguments to be passed into func.

Returns