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authorMelissa Weber Mendonça <melissawm@gmail.com>2021-10-18 09:23:11 -0300
committerGitHub <noreply@github.com>2021-10-18 09:23:11 -0300
commitf4ef0fd5d97afc7788c46eb51889e90623f5577e (patch)
treed0a5668ed4fa85014d90a2ccebc8a2d0477364b0 /numpy/lib/function_base.py
parentdf5c66c98144f8364f1a0c11a35419f3dfc0970d (diff)
parent3b57355559357460d31862299829536f065e7a8b (diff)
downloadnumpy-f4ef0fd5d97afc7788c46eb51889e90623f5577e.tar.gz
Merge pull request #20123 from rossbar/doc/np-iterable-0d-arrays
DOC: Add note to iterable docstring about 0d arrays.
Diffstat (limited to 'numpy/lib/function_base.py')
-rw-r--r--numpy/lib/function_base.py13
1 files changed, 13 insertions, 0 deletions
diff --git a/numpy/lib/function_base.py b/numpy/lib/function_base.py
index ca5ef62ae..84128e4f0 100644
--- a/numpy/lib/function_base.py
+++ b/numpy/lib/function_base.py
@@ -268,6 +268,19 @@ def iterable(y):
>>> np.iterable(2)
False
+ Notes
+ -----
+ In most cases, the results of ``np.iterable(obj)`` are consistent with
+ ``isinstance(obj, collections.abc.Iterable)``. One notable exception is
+ the treatment of 0-dimensional arrays::
+
+ >>> from collections.abc import Iterable
+ >>> a = np.array(1.0) # 0-dimensional numpy array
+ >>> isinstance(a, Iterable)
+ True
+ >>> np.iterable(a)
+ False
+
"""
try:
iter(y)