Steven D'Aprano added the comment:
This is not a bug, but behaving correctly. You have:
py> A = np.random.random((10,1))
py> np.all(A)
True
py> np.all(A) < 1 # is True less than 1?
False
which is correct: True is *not* less than 1. But True *is* less than 2:
py> True < 2
True
py> np.all(2*A)
Eryk Sun added the comment:
NumPy is not part of Python's standard library, so this is a 3rd party problem.
However, please don't waste the time of the NumPy developers with this. You
either haven't read the documentation or have misread it. numpy.all [1] is an
AND reduction over the specified
New submission from Jose:
the numpy.all function does not work.
I created
A = np.random.random((10,1))
np.all(A)<1 gives me False, which is wrong!
and
B = 2 * A
np.all(B)<2 gives me True, which is correct!
also np.sum(A) < 10, gives me True, which is correct!
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