Hi all, PR 2875 adds two new functions, that generalize zeros(), ones(), zeros_like(), ones_like(), by simply taking an arbitrary fill value: https://github.com/numpy/numpy/pull/2875 So np.ones((10, 10)) is the same as np.filled((10, 10), 1)
The implementations are trivial, but the API seems useful because it provides an idiomatic way of efficiently creating an array full of inf, or nan, or None, whatever funny value you need. All the alternatives are either inefficient (np.ones(...) * np.inf) or cumbersome (a = np.empty(...); a.fill(...)). Or so it seems to me. But there's a question of taste here; one could argue instead that these just add more clutter to the numpy namespace. So, before we merge, anyone want to chime in? (Bonus, extra bike-sheddy survey: do people prefer np.filled((10, 10), np.nan) np.filled_like(my_arr, np.nan) or np.filled(np.nan, (10, 10)) np.filled_like(np.nan, my_arr) ?) -n _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
