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authorDavid Freese <dfreese@stanford.edu>2015-06-18 11:53:11 -0700
committerDavid Freese <dfreese@stanford.edu>2016-01-12 14:38:02 -0800
commit6e699948c2b6098ec1a6e135241bc24e4df9a4d1 (patch)
tree551f4d6779ffc378d43c59c8dd63341a02ef7289 /numpy/lib/nanfunctions.py
parent2df298d9ac469ec60a29373ea60cd17e0c4fd970 (diff)
downloadnumpy-6e699948c2b6098ec1a6e135241bc24e4df9a4d1.tar.gz
BUG: Fix nanpercentile crash on all-nan slices
Fix bug where nanpercentile would crash with an all-nan slices when given multiple percentiles. Also corrects behavior where array sizes different from numpy.percentile would be returned with keepdims enabled. Fix #5760
Diffstat (limited to 'numpy/lib/nanfunctions.py')
-rw-r--r--numpy/lib/nanfunctions.py11
1 files changed, 9 insertions, 2 deletions
diff --git a/numpy/lib/nanfunctions.py b/numpy/lib/nanfunctions.py
index 1e3208ac8..6b28b4a35 100644
--- a/numpy/lib/nanfunctions.py
+++ b/numpy/lib/nanfunctions.py
@@ -975,7 +975,11 @@ def _nanpercentile(a, q, axis=None, out=None, overwrite_input=False,
else:
result = np.apply_along_axis(_nanpercentile1d, axis, a, q,
overwrite_input, interpolation)
-
+ # apply_along_axis fills in collapsed axis with results.
+ # Move that axis to the beginning to match percentile's
+ # convention.
+ if q.ndim != 0:
+ result = np.swapaxes(result, 0, axis)
if out is not None:
out[...] = result
return result
@@ -991,7 +995,10 @@ def _nanpercentile1d(arr1d, q, overwrite_input=False, interpolation='linear'):
s = np.where(c)[0]
if s.size == arr1d.size:
warnings.warn("All-NaN slice encountered", RuntimeWarning)
- return np.nan
+ if q.ndim == 0:
+ return np.nan
+ else:
+ return np.nan * np.ones((len(q),))
elif s.size == 0:
return np.percentile(arr1d, q, overwrite_input=overwrite_input,
interpolation=interpolation)