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| author | jaimefrio <jaime.frio@gmail.com> | 2014-06-06 16:57:14 -0700 |
|---|---|---|
| committer | jaimefrio <jaime.frio@gmail.com> | 2014-06-06 16:57:39 -0700 |
| commit | 44529602509f7af4d103ce968248eafbd51af5be (patch) | |
| tree | 47a333ddab725ab57d9c3e449efc14b0eb3e3270 /numpy/lib/arraysetops.py | |
| parent | 4c854c2633894387988b43306ff72333cb00613a (diff) | |
| download | numpy-44529602509f7af4d103ce968248eafbd51af5be.tar.gz | |
BUG: Correct behavior for lists of tuples in unique, closes #4785
np.unique produces wrong results when passed a list of tuples and
no keyword arguments, as it fails to recognize it as a multidim
array, but handles it as a 1D array of objects. The only way around
this seems to be to completely eliminate the fast path for non-array
inputs using `set`.
Diffstat (limited to 'numpy/lib/arraysetops.py')
| -rw-r--r-- | numpy/lib/arraysetops.py | 8 |
1 files changed, 1 insertions, 7 deletions
diff --git a/numpy/lib/arraysetops.py b/numpy/lib/arraysetops.py index 0755fffd1..005703d16 100644 --- a/numpy/lib/arraysetops.py +++ b/numpy/lib/arraysetops.py @@ -167,13 +167,7 @@ def unique(ar, return_index=False, return_inverse=False, return_counts=False): array([1, 2, 6, 4, 2, 3, 2]) """ - try: - ar = ar.flatten() - except AttributeError: - if not return_inverse and not return_index and not return_counts: - return np.sort(list((set(ar)))) - else: - ar = np.asanyarray(ar).flatten() + ar = np.asanyarray(ar).flatten() optional_indices = return_index or return_inverse optional_returns = optional_indices or return_counts |