Hi there, I have a problem, which I'm sure can somehow be solved using np.choose() - but I cannot figure out how :(
I have an array idx, which holds int values and has a 2d shape. All values inside idx are 0 <= idx < n. And I have a second array times, which is 1d, with times.shape = (n,). Out of these two arrays I now want to create a 2d array having the same shape as idx, and holding the values contained in times, as indexed by idx. A simple np.choose(idx,times) does not work (error "Need between 2 and (32) array objects (inclusive)."). Example: idx = [[4,2],[3,1]] times = [100,101,102,103,104] From these two I want to create an array result = [[104,102],[103,101]] How can this be done? Thanks a lot for your insight! Andreas _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion