.. _docs-meteoinfolab-numeric-stats-covariance: ********** covariance ********** .. currentmodule:: numeric.stats .. function:: covariance(x, y, bias=False) Calculate covariance of two array. :param x: (*array_like*) A 1-D array containing multiple variables and observations. :param y: (*array_like*) An additional set of variables and observations. y has the same form as that of x. :param bias: (*boolean*) Default normalization (False) is by (N - 1), where N is the number of observations given (unbiased estimate). If bias is True, then normalization is by N. returns: Covariance Examples:: from mipylib.numeric import stats x1 = [12, 2, 1, 12, 2] x2 = [1, 4, 7, 1, 0] c = stats.cov(x1, x2) print c Result:: >>> run script... -7.28