Hello, In order to repeat rows or columns of an array as http://stackoverflow.com/questions/1550130/cloning-row-or-column-vectors I can use np.repeat as suggested by pv. However, looking at the flags of the resulting array, data seems to be copied and actually repeated in memory. This is not applicable if want a 1000x repetition. What are the other options for such a repeat ? On scipy lectures, there is a suggestion to use as_strided : http://scipy-lectures.github.io/advanced/advanced_numpy/#example-fake-dimens... Otherwise, I see broadcast_arrays :
N = 3 data = np.arange(N) np.broadcast_arrays(data[:,None], np.zeros((1,2)))[0] array([[0, 0], [1, 1], [2, 2]])
This works but it feels like invoking a magic formula. Did I miss a simpler function ? best, Pierre