Hi all, I'm having a bit of a brain block about the following fancy indexing question, and am hoping someone can point me in the right direction. I have a 3-d array `a` that I want to reorder along its 0th dimension differently for each 1st dimension, with the indices given in a 2-d array `ord`. I can achieve this as follows
a = np.random.randint(10, size=(4,3,2)) ord = np.array([[3,2,1,0],[0,2,1,3],[3,0,2,1]]).T b = a[ord][:,np.eye(3, dtype=bool),:] but it seems like it should be possible to do this in one indexing step and avoid the intermediate and the eye call. Any suggestions gratefully received. Thanks, Angus. -- AJC McMorland Post-doctoral research fellow Neurobiology, University of Pittsburgh _______________________________________________ NumPy-Discussion mailing list [email protected] http://mail.scipy.org/mailman/listinfo/numpy-discussion
