I noticed that there is currently no way to reverse a numpy array in-place. The current way to reverse a numpy array is using slicing, ala arr[::-1]. This is okay for small matrices, but for really large ones, this can be prohibitive. Not only that, but an in-place reverse is much faster than slicing. It seems like a reverse method could be added to arrays that would reverse the array along a given axis fairly easily. Is there any opposition to this? Also, there is consideration for simply marking a given axis as being reverse similar to how transposes are taken. However, I see this as a problem for a method like reshape to deal with and therefore think that it is better to just add a reverse method. What are your opinions? I'm quite willing to make such a method if it will be accepted. Justin Peel