Hey, On Thu, 2013-12-12 at 15:20 +0100, Pierre Haessig wrote: > 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 ? >
No, I don't think there are any other options. stride tricks are a bit hidden, since in many cases it is more dangerous than helping. Though with some care you can easily implement such functions using stride_tricks. Regards, Sebastian > On scipy lectures, there is a suggestion to use as_strided : > http://scipy-lectures.github.io/advanced/advanced_numpy/#example-fake-dimensions-with-strides > > 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 > _______________________________________________ > NumPy-Discussion mailing list > [email protected] > http://mail.scipy.org/mailman/listinfo/numpy-discussion _______________________________________________ NumPy-Discussion mailing list [email protected] http://mail.scipy.org/mailman/listinfo/numpy-discussion
