On Mon, Apr 12, 2021 at 2:29 PM Stephan Hoyer <sho...@gmail.com> wrote: > > The easy way to unpad an array is by indexing with slices, e.g., x[20:-4] to > undo a padding of [(20, 4)]. Just be careful about unpadding "zero" elements > on the right hand side, because Python interprets an ending slice of zero > differently -- you need to write something like x[20:] to undo padding by > [(20, 0)].
You can use x[20:x.shape[0] - 4] to avoid this inconsistency. Or construct the slice based on the original unpadded shape (x[20:20+orig_x.shape[0]]). Aaron Meurer > > > On Mon, Apr 12, 2021 at 1:15 PM Jeff Gostick <jgost...@gmail.com> wrote: >> >> I often find myself padding an array to do some processing on it (i.e. to >> avoid edge artifacts), then I need to remove the padding. I wish there was >> either a built in "unpad" function that accepted the same arguments as >> "pad", or that "pad" accepted negative numbers (e.g [-20, -4] would undo a >> padding of [20, 4]). This seems like a pretty obvious feature to me so >> maybe I've just missed something, but I have looked through all the open and >> closed issues on github and don't see anything related to this. >> >> >> Jeff G >> >> _______________________________________________ >> NumPy-Discussion mailing list >> NumPy-Discussion@python.org >> https://mail.python.org/mailman/listinfo/numpy-discussion > > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@python.org > https://mail.python.org/mailman/listinfo/numpy-discussion _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@python.org https://mail.python.org/mailman/listinfo/numpy-discussion
