test_covariance.py 文件源码

def _test_covariance_visual(self):
        cov = self.sc.covariance
        cov.epsilon = .02
        cov.subsampling = 10
        # l = self.sc.quadtree.leaves[0]
        d = []
        d.append(('Full', cov._calcCovarianceMatrix(method='full',
                 nthreads=0)))
        d.append(('Focal', cov._calcCovarianceMatrix(method='focal')))

        fig, _ = plt.subplots(1, len(d))
        for i, (title, mat) in enumerate(d):
            print '%s Max %f' % (title, num.nanmax(mat)), mat.shape
            fig.axes[i].imshow(mat)
            fig.axes[i].set_title(title)
        plt.show()