On Sun, Jan 13, 2013 at 12:27 PM, Nathaniel Smith <n...@pobox.com> wrote: > 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?
+1 I find it useful. I do the indirect way very often, or write matlab style helper functions. def nanes: .... problem dtype: inf and nan only makes sense for float I don't think I used many besides those two. > > (Bonus, extra bike-sheddy survey: do people prefer > np.filled((10, 10), np.nan) > np.filled_like(my_arr, np.nan) + 0.5 > or > np.filled(np.nan, (10, 10)) > np.filled_like(np.nan, my_arr) > ?) Josef > > -n > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@scipy.org > http://mail.scipy.org/mailman/listinfo/numpy-discussion _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
