On Mon, Jan 16, 2012 at 3:30 PM, Benjamin Root <ben.r...@ou.edu> wrote:
> > > 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 > > Errr, I mean 0.0 for the last one. I can't think today. Ben Root
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