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| author | Sebastian Berg <sebastian@sipsolutions.net> | 2019-09-12 16:22:37 -0700 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2019-09-12 16:22:37 -0700 |
| commit | e97975a2027e81d93ccdc96ab767653773b3cc04 (patch) | |
| tree | 4bf9c25fb09f9c690c56bae88e176efe3b15f696 /numpy/lib/tests | |
| parent | 9722d1b682a7596c9aa5f4fa0279f26702bb4ff6 (diff) | |
| parent | 17fe313d3cd4b73be3050409b314f545637bcf81 (diff) | |
| download | numpy-e97975a2027e81d93ccdc96ab767653773b3cc04.tar.gz | |
Merge pull request #14255 from hgt312/fix_unique
BUG: fix inconsistent axes ordering for axis in function `unique`
Diffstat (limited to 'numpy/lib/tests')
| -rw-r--r-- | numpy/lib/tests/test_arraysetops.py | 7 |
1 files changed, 5 insertions, 2 deletions
diff --git a/numpy/lib/tests/test_arraysetops.py b/numpy/lib/tests/test_arraysetops.py index dd8a38248..fd21a7f76 100644 --- a/numpy/lib/tests/test_arraysetops.py +++ b/numpy/lib/tests/test_arraysetops.py @@ -600,8 +600,11 @@ class TestUnique(object): assert_array_equal(unique(data, axis=1), result.astype(dtype), msg) msg = 'Unique with 3d array and axis=2 failed' - data3d = np.dstack([data] * 3) - result = data3d[..., :1] + data3d = np.array([[[1, 1], + [1, 0]], + [[0, 1], + [0, 0]]]).astype(dtype) + result = np.take(data3d, [1, 0], axis=2) assert_array_equal(unique(data3d, axis=2), result, msg) uniq, idx, inv, cnt = unique(data, axis=0, return_index=True, |