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? Kind Regards, Nathan. _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
