stats.sandwich_covariance.se_cov()

statsmodels.stats.sandwich_covariance.se_cov

statsmodels.stats.sandwich_covariance.se_cov(cov)

get standard deviation from covariance matrix

just a shorthand function np.sqrt(np.diag(cov))

Parameters:	cov : array_like, square covariance matrix
Returns:	std : ndarray standard deviation from diagonal of cov