pandas.Series.cov¶
-
Series.
cov
(self, other, min_periods=None)[source]¶ Compute covariance with Series, excluding missing values.
Parameters: - other : Series
Series with which to compute the covariance.
- min_periods : int, optional
Minimum number of observations needed to have a valid result.
Returns: - float
Covariance between Series and other normalized by N-1 (unbiased estimator).
Examples
>>> s1 = pd.Series([0.90010907, 0.13484424, 0.62036035]) >>> s2 = pd.Series([0.12528585, 0.26962463, 0.51111198]) >>> s1.cov(s2) -0.01685762652715874