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author | Jason Thai <jasonnthaii@gmail.com> | 2022-05-28 00:36:43 -0700 |
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committer | Jason Thai <jasonnthaii@gmail.com> | 2022-05-28 00:44:53 -0700 |
commit | 172a27fae4829933c4a8a7393aa6d0e71f9cc609 (patch) | |
tree | ce3c98b2eaa2b19141edf015cc3ca13fc39a9bb8 /numpy/lib/tests/test_arraysetops.py | |
parent | c59b0a97229bbe2bc3e50a8bbc0cbea05df72b8f (diff) | |
download | numpy-172a27fae4829933c4a8a7393aa6d0e71f9cc609.tar.gz |
TST: Added test for np.unique equal_nans kwarg
Diffstat (limited to 'numpy/lib/tests/test_arraysetops.py')
-rw-r--r-- | numpy/lib/tests/test_arraysetops.py | 8 |
1 files changed, 8 insertions, 0 deletions
diff --git a/numpy/lib/tests/test_arraysetops.py b/numpy/lib/tests/test_arraysetops.py index 13385cd24..f97fea310 100644 --- a/numpy/lib/tests/test_arraysetops.py +++ b/numpy/lib/tests/test_arraysetops.py @@ -765,3 +765,11 @@ class TestUnique: assert_array_equal(uniq[:, inv], data) msg = "Unique's return_counts=True failed with axis=1" assert_array_equal(cnt, np.array([2, 1, 1]), msg) + + def test_unique_nanequals(self): + # issue 20326 + a = np.array([1, 1, np.nan, np.nan, np.nan]) + unq = np.unique(a) + not_unq = np.unique(a, equal_nans = False) + assert_array_equal(unq, np.array([1, np.nan])) + assert_array_equal(not_unq, np.array([1, np.nan, np.nan, np.nan])) |