I have a pretty silly question about initializing an array a to a given scalar value, say A.
Most of the time I use a=np.ones(shape)*A which seems the most widespread idiom, but I got recently interested in getting some performance improvement. I tried a=np.zeros(shape)+A, based on broadcasting but it seems to be equivalent in terms of speed. Now, the fastest : a = np.empty(shape) a.fill(A) but it is a two-steps instruction to do one thing, which I feel doesn't look very nice. Did I miss an all-in-one function like numpy.fill(shape, A) ? Best, Pierre _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
