On Mon, Jan 16, 2012 at 3:24 PM, Charles R Harris <charlesr.har...@gmail.com > wrote:
> > > On Sat, Jan 14, 2012 at 4:53 PM, Nathan Faggian > <nathan.fagg...@gmail.com>wrote: > >> Hi, >> >> I am finding it less than useful to have the negative index wrapping on >> nd-arrays. Here is a short example: >> >> import numpy as np >> a = np.zeros((3, 3)) >> a[:,2] = 1000 >> print a[0,-1] >> print a[0,-1] >> print a[-1,-1] >> >> In all cases 1000 is printed out. >> >> > Looks right to me, the whole last column is 1000. What exactly do you want > to do and what is the problem? > > <snip> > > Chuck > > I would imagine that it is some sort of image processing use-case, where sometimes you want the data to reflect at the boundaries, or be constant, or have some other value used for access outside the domain. So, for reflect, I would guess that he would have wanted 0.0 for the first two and 1000 for the last one. Ben Root
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