Can I fill an existing array from an iterator?
Hi Folks, I wonder if there's a way to fill an existing array from an iterator without creating a temporary array. That is, I'm looking for something that has the effect of
target = np.array(xrange(9), dtype = float) target[:] = np.fromiter(repeat(3.14159, 9), dtype=float)
without creating a second array object in the second line. The closest I got was this:
target[:] = xrange(-9, 0) target[:] = tuple(repeat(5.5, 9))
Note that xrange isn't really an iterator, and appears to be handled specially. Emptying the iterator into a tuple works, but I was hoping for something even more direct. If this isn't possible, I wonder what people would think of adding an optional 'out' argument to the 'fromXXX' functions which behaved like the 'out' argument to sum() and other functions. Thanks, Ken
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Ken Basye