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authorRalf Gommers <ralf.gommers@googlemail.com>2012-03-25 17:01:36 +0200
committerCharles Harris <charlesr.harris@gmail.com>2012-03-25 10:14:16 -0600
commitaea76b85ad98c5fe89582d70344ca768b6cffec1 (patch)
tree870b342a9ed3580ca3d1626a2b44c1f98337f96f /numpy/core/numeric.py
parent81aa8f25ce05df3e9d27bf2beee740c1f2ce7e36 (diff)
downloadnumpy-aea76b85ad98c5fe89582d70344ca768b6cffec1.tar.gz
DOC: allclose: document better what happens when Infs or NaNs are present.
Diffstat (limited to 'numpy/core/numeric.py')
-rw-r--r--numpy/core/numeric.py7
1 files changed, 5 insertions, 2 deletions
diff --git a/numpy/core/numeric.py b/numpy/core/numeric.py
index a9a42ea09..9a51229a1 100644
--- a/numpy/core/numeric.py
+++ b/numpy/core/numeric.py
@@ -1969,6 +1969,10 @@ def allclose(a, b, rtol=1.e-5, atol=1.e-8):
`atol` are added together to compare against the absolute difference
between `a` and `b`.
+ If either array contains one or more NaNs, False is returned.
+ Infs are treated as equal if they are in the same place and of the same
+ sign in both arrays.
+
Parameters
----------
a, b : array_like
@@ -1982,8 +1986,7 @@ def allclose(a, b, rtol=1.e-5, atol=1.e-8):
-------
allclose : bool
Returns True if the two arrays are equal within the given
- tolerance; False otherwise. If either array contains NaN, then
- False is returned.
+ tolerance; False otherwise.
See Also
--------