Hello,
>>> a, b, c = np.array([10]), np.array([2]), np.array([7])
>>> min_val = np.minimum(a, b, c)
>>> min_val
array([2])
>>> max_val = np.maximum(a, b, c)
>>> max_val
array([10])
>>> min_val
array([10])
(I'm using numpy 1.4, and I observed the same behavior with numpy
2.0.0.dev8600 on another machine). I'm quite surprised by this behavior
(It took me quite a long time to figure out what was happening in a
script of mine that wasn't giving what I expected, because of
np.maximum changing the output of np.minimum). Is it a bug, or am I
missing something?
Cheers,
Emmanuelle
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