I seem to be losing my mind... I can't seem to get this to work right. I have a (N, k) array `distances` (along with a bunch of other arrays of the same shape). I need to resort the rows, so I do:
indexs = np.argsort(distances, axis=1) How do I use this index array correctly to get back distances sorted along rows? Note, telling me to use `np.sort()` isn't going to work because I need to apply the same indexing to a couple of other arrays. new_dists = distances[indexs] gives me a (N, k, k) array, while new_dists = np.take(indexs, axis=1) gives me a (N, N, k) array. What am I missing? Thanks! Ben Root
_______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@python.org https://mail.python.org/mailman/listinfo/numpy-discussion
