- Series.cov(other, min_periods=None, ddof=1)[source]#
Compute covariance with Series, excluding missing values.
The two Series objects are not required to be the same length and will be aligned internally before the covariance is calculated.
Series with which to compute the covariance.
- min_periodsint, optional
Minimum number of observations needed to have a valid result.
- ddofint, default 1
Delta degrees of freedom. The divisor used in calculations is
N - ddof, where
Nrepresents the number of elements.
New in version 1.1.0.
Covariance between Series and other normalized by N-1 (unbiased estimator).
Compute pairwise covariance of columns.
>>> s1 = pd.Series([0.90010907, 0.13484424, 0.62036035]) >>> s2 = pd.Series([0.12528585, 0.26962463, 0.51111198]) >>> s1.cov(s2) -0.01685762652715874