From 2a5422da7cb6759d75477738cc192fee3ca2a19c Mon Sep 17 00:00:00 2001 From: abel Date: Tue, 19 Oct 2021 17:55:06 +0200 Subject: Fix issue with nan scalar Also added unit test for it. --- numpy/lib/function_base.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) (limited to 'numpy/lib/function_base.py') 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 -- cgit v1.2.1