Hey, I have written a small PR, to fix np.delete, since it would change the behavior a little (to the better IMO) I think I should also write to the list? So here is the problem with np.delete:
1. When using slices with negative strides, it does not work (best case) or give even wrong results. 2. When using an index array, it ignores negative indexes. 3. The fact that it uses setdiff1d makes it unnecessarily slow. https://github.com/numpy/numpy/pull/452/files fixes these things. The change is that out of bounds indices would raise an Exception (even if one might say that they do not matter to deletion), however I consider that a feature. And a small example how badly its wrong with slices: In [1]: arr = np.arange(4) In [2]: set(arr) - set(arr[1::-1]) Out[2]: set([2, 3]) In [3]: np.delete(arr, np.s_[1::-1]) Out[3]: array([3, 3]) Regards, Sebastian _______________________________________________ NumPy-Discussion mailing list [email protected] http://mail.scipy.org/mailman/listinfo/numpy-discussion
