Jan. 15, 2012
12:30 p.m.
On 15/01/12 00:53, Nathan Faggian 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 else would you expect?
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?
What other behavior would you choose? I don't see any other that would make sense and that would be consistent with positive indexing. Cheers, -- Daniele