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authorAntoine Dechaume <AntoineD@users.noreply.github.com>2019-08-02 22:45:16 +0200
committerSebastian Berg <sebastian@sipsolutions.net>2019-08-02 13:45:16 -0700
commitb4c1d4f93d2ed34bc27b59ece2f26a8b3b16e5e4 (patch)
tree08c298814e87deceec6ee57ac657dcce2d046050 /numpy/core/numeric.py
parent3d5fee2f9077a42677c724c36e78be5849c17c81 (diff)
downloadnumpy-b4c1d4f93d2ed34bc27b59ece2f26a8b3b16e5e4.tar.gz
DOC: Fix misleading `allclose` docstring for `equal_nan` (gh-14183)
There is no output array for allclose as opposed to isclose, so do not reference one.
Diffstat (limited to 'numpy/core/numeric.py')
-rw-r--r--numpy/core/numeric.py2
1 files changed, 1 insertions, 1 deletions
diff --git a/numpy/core/numeric.py b/numpy/core/numeric.py
index ea2ef900e..ff8c58867 100644
--- a/numpy/core/numeric.py
+++ b/numpy/core/numeric.py
@@ -2124,7 +2124,7 @@ def allclose(a, b, rtol=1.e-5, atol=1.e-8, equal_nan=False):
The absolute tolerance parameter (see Notes).
equal_nan : bool
Whether to compare NaN's as equal. If True, NaN's in `a` will be
- considered equal to NaN's in `b` in the output array.
+ considered equal to NaN's in `b`.
.. versionadded:: 1.10.0