Method test_2d_without_missing

numpy/ma/tests/test_extras.py:1247–1253

(self)

                            cov(x, rowvar=False, bias=True))

    def test_2d_without_missing(self):
        # Test cov on 1 2D variable w/o missing values
        x = self.data.reshape(3, 4)
        assert_almost_equal(np.cov(x), cov(x))
        assert_almost_equal(np.cov(x, rowvar=False), cov(x, rowvar=False))
        assert_almost_equal(np.cov(x, rowvar=False, bias=True),
                            cov(x, rowvar=False, bias=True))

    def test_1d_with_missing(self):
        # Test cov 1 1D variable w/missing values