Hi, I am sorry for the late reply.
Benjamin has hit the nail on the head. I guess I am seeing numpy "fancy indexing" as equivalent to integer based coordinate sampling and trying to compare numpy's fancy indexing to something like map_coordinates in scipy. I have never used np.ravel_multi_index() and will have a look at this now. -N On 17 January 2012 08:42, Benjamin Root <ben.r...@ou.edu> wrote: > 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 > > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@scipy.org > http://mail.scipy.org/mailman/listinfo/numpy-discussion > _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
