[Numpy-discussion] Negative indexing.
nathan.faggian at gmail.com
Sat Jan 14 18:53:52 EST 2012
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
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?
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