pandas.core.window.Expanding.cov

Calculate the expanding sample covariance.

param other
Series, DataFrame, or ndarray, optional

If not supplied then will default to self and produce pairwise output.

param pairwise
bool, 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 MultiIndexed DataFrame in the case of DataFrame inputs. In the case of missing elements, only complete pairwise observations will be used.

param ddof
int, default 1

Delta Degrees of Freedom. The divisor used in calculations is N - ddof, where N represents the number of elements. **kwargs Keyword arguments to be passed into func.

return

Series or DataFrame Return type is determined by the caller.

Warning

This feature is currently unsupported by Intel Scalable Dataframe Compiler