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| author | Amit Aronovitch <aronovitch@gmail.com> | 2016-05-19 03:29:50 +0300 |
|---|---|---|
| committer | Amit Aronovitch <aronovitch@gmail.com> | 2016-05-22 00:05:18 +0300 |
| commit | a4cc361003d3b2b241b826372d9691187b47f86f (patch) | |
| tree | 8ffed1b54140e1e6cadeace9d63ad0e9a475ae03 /numpy/ma/extras.py | |
| parent | bb46a495ee5201fb94c14776f41181343e5b7fb2 (diff) | |
| download | numpy-a4cc361003d3b2b241b826372d9691187b47f86f.tar.gz | |
STY: ma.extras.median: avoid indexing with list
Recommended type for nd-indexing is a tuple. See #4434
Diffstat (limited to 'numpy/ma/extras.py')
| -rw-r--r-- | numpy/ma/extras.py | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/numpy/ma/extras.py b/numpy/ma/extras.py index 2a44397d7..781b25449 100644 --- a/numpy/ma/extras.py +++ b/numpy/ma/extras.py @@ -665,10 +665,10 @@ def _median(a, axis=None, out=None, overwrite_input=False): ind = np.meshgrid(*axes_grid, sparse=True, indexing='ij') # insert indices of low and high median ind.insert(axis, h - 1) - low = asorted[ind] + low = asorted[tuple(ind)] low._sharedmask = False ind[axis] = h - high = asorted[ind] + high = asorted[tuple(ind)] # duplicate high if odd number of elements so mean does nothing odd = counts % 2 == 1 if asorted.ndim == 1: |