In [3]: u = np.arange(10) In [4]: u Out[4]: array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])
In [5]: u[-2:] Out[5]: array([8, 9]) In [6]: u[-2:2] Out[6]: array([], dtype=int64) I would argue for consistency it would be desirable for this to return [8, 9, 0, 1] _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
