diff options
Diffstat (limited to 'numpy/linalg')
| -rw-r--r-- | numpy/linalg/linalg.py | 4 | ||||
| -rw-r--r-- | numpy/linalg/tests/test_linalg.py | 10 |
2 files changed, 5 insertions, 9 deletions
diff --git a/numpy/linalg/linalg.py b/numpy/linalg/linalg.py index 7eac95248..45e12f1a3 100644 --- a/numpy/linalg/linalg.py +++ b/numpy/linalg/linalg.py @@ -931,7 +931,7 @@ def eigvalsh(a, UPLO='L'): Returns ------- w : (..., M,) ndarray - The eigenvalues, not necessarily ordered, each repeated according to + The eigenvalues in ascending order, each repeated according to its multiplicity. Raises @@ -960,7 +960,7 @@ def eigvalsh(a, UPLO='L'): >>> from numpy import linalg as LA >>> a = np.array([[1, -2j], [2j, 5]]) >>> LA.eigvalsh(a) - array([ 0.17157288+0.j, 5.82842712+0.j]) + array([ 0.17157288, 5.82842712]) """ UPLO = UPLO.upper() diff --git a/numpy/linalg/tests/test_linalg.py b/numpy/linalg/tests/test_linalg.py index ca59aa566..c6d84706a 100644 --- a/numpy/linalg/tests/test_linalg.py +++ b/numpy/linalg/tests/test_linalg.py @@ -686,19 +686,15 @@ class TestBoolPower(object): class TestEigvalsh(HermitianTestCase, HermitianGeneralizedTestCase): def do(self, a, b): - # note that eigenvalue arrays must be sorted since + # note that eigenvalue arrays returned by eig must be sorted since # their order isn't guaranteed. ev = linalg.eigvalsh(a, 'L') evalues, evectors = linalg.eig(a) - ev.sort(axis=-1) evalues.sort(axis=-1) - assert_allclose(ev, evalues, - rtol=get_rtol(ev.dtype)) + assert_allclose(ev, evalues, rtol=get_rtol(ev.dtype)) ev2 = linalg.eigvalsh(a, 'U') - ev2.sort(axis=-1) - assert_allclose(ev2, evalues, - rtol=get_rtol(ev.dtype)) + assert_allclose(ev2, evalues, rtol=get_rtol(ev.dtype)) def test_types(self): def check(dtype): |