[Numpy-discussion] Is there a defined way to "unpad" an array, and if not, should there be?
jgostick at gmail.com
Mon Apr 12 16:38:36 EDT 2021
It's definitely just "slicing", but it's a bit inconvenient. I'm thinking
arr = np.random.rand(10, 10, 10)
W = [[3, 2], [4, 6]] # or W = 4, or W = [4, 5]
arr_padded = np.pad(arr, pad_width=W)
< Do some stuff to arr_padded >
arr = np.unpad(arr_padded, pad_width=W) # Using W just works, no matter
how odd the various pad widths were
On Mon, Apr 12, 2021 at 4:29 PM Stephan Hoyer <shoyer at 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)].
> On Mon, Apr 12, 2021 at 1:15 PM Jeff Gostick <jgostick at 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 at python.org
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