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author | Charles Harris <charlesr.harris@gmail.com> | 2016-09-07 12:38:23 -0500 |
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committer | GitHub <noreply@github.com> | 2016-09-07 12:38:23 -0500 |
commit | 3333e8b4a033f3a10c356d8731fc3867dbc97364 (patch) | |
tree | 4a0654f653b04a954e95d2f8eae49b4887543317 /numpy/ma/extras.py | |
parent | b91e8d8f164731bb710cc1e5173cc8ec3f8fadf5 (diff) | |
parent | ed300480512029be7fbd031251a280964341acfe (diff) | |
download | numpy-3333e8b4a033f3a10c356d8731fc3867dbc97364.tar.gz |
Merge pull request #8030 from lesteve/fix-ma-median-with-only-one-non-masked-value
BUG: fix np.ma.median with only one non-masked value and an axis argument
Diffstat (limited to 'numpy/ma/extras.py')
-rw-r--r-- | numpy/ma/extras.py | 3 |
1 files changed, 1 insertions, 2 deletions
diff --git a/numpy/ma/extras.py b/numpy/ma/extras.py index 0d5c73e7e..e4ff8ef2d 100644 --- a/numpy/ma/extras.py +++ b/numpy/ma/extras.py @@ -727,9 +727,8 @@ 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) + ind.insert(axis, np.maximum(0, h - 1)) low = asorted[tuple(ind)] - low._sharedmask = False ind[axis] = h high = asorted[tuple(ind)] |