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| author | abel <aoun@cerfacs.fr> | 2021-10-19 17:55:06 +0200 |
|---|---|---|
| committer | Sebastian Berg <sebastian@sipsolutions.net> | 2021-11-04 14:50:27 -0500 |
| commit | 2a5422da7cb6759d75477738cc192fee3ca2a19c (patch) | |
| tree | 530e72d3d295c84dc971bbd93a25773ffcc94a87 /numpy/lib/function_base.py | |
| parent | d5e275b2bf65c1848203f6bff7606623793daeed (diff) | |
| download | numpy-2a5422da7cb6759d75477738cc192fee3ca2a19c.tar.gz | |
Fix issue with nan scalar
Also added unit test for it.
Diffstat (limited to 'numpy/lib/function_base.py')
| -rw-r--r-- | numpy/lib/function_base.py | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/numpy/lib/function_base.py b/numpy/lib/function_base.py index a5ccc1189..a16781f53 100644 --- a/numpy/lib/function_base.py +++ b/numpy/lib/function_base.py @@ -3959,7 +3959,7 @@ def percentile(a, ``i < j``. If ``g`` is the fractional part of the index surrounded by ``i`` and alpha and beta are correction constants modifying i and j. - Below, 'q' is the quantile value, 'n' is the samle size and + Below, 'q' is the quantile value, 'n' is the sample size and alpha and beta are constants. The following formula gives an interpolation "i + g" of where the quantile would be in the sorted sample. @@ -4628,7 +4628,7 @@ def _quantile( if np.any(slices_having_nans): if result.ndim == 0 and out is None: # can't write to a scalar - result = np.array(np.nan, dtype=arr.dtype) + result = arr.dtype.type(np.nan) else: result[..., slices_having_nans] = np.nan return result |