You can do something pretty close to that with the 1.6 iterator:
>>> u = np.arange(20).reshape(5,4)[:,:3]
>>> u
array([[ 0, 1, 2],
[ 4, 5, 6],
[ 8, 9, 10],
[12, 13, 14],
[16, 17, 18]])
>>> for item in np.nditer(u, [], ['readwrite'], order='C'):
... item[...] =
Maybe I'm being dense today, but I don't see how to iterate over arrays with
write access. You could read through iterators like:
fl = u.flat
>>> for item in fl:
... print item
but you can't do
for item in fl:
item = 10
(or, it won't do what you want).
Is there any way to do this?
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