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
_______________________________________________
Numpy-discussion mailing list
[email protected]
http://projects.scipy.org/mailman/listinfo/numpy-discussion
