On Sat, Jan 14, 2012 at 11:53 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. > > What I am after is a way to say "please don't wrap around" and have negative > indices behave in a way I choose. I know this is a standard thing - but is > there a way to override that behaviour that doesn't involve cython or rolling > my own resampler?
Although it could be possible with lots of work, it would most likely be a bad idea. You will need to wrap something around your model/data/etc... Could you explain a bit more what you have in mind ? David _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
