Hi, On Thu, Jan 17, 2013 at 10:27 PM, Mark Wiebe <mwwi...@gmail.com> wrote: > > On Thu, Jan 17, 2013 at 2:10 PM, Benjamin Root <ben.r...@ou.edu> wrote: >> >> >> >> On Thu, Jan 17, 2013 at 5:04 PM, Eric Firing <efir...@hawaii.edu> wrote: >>> >>> On 2013/01/17 4:13 AM, Pierre Haessig wrote: >>> > Hi, >>> > >>> > Le 14/01/2013 20:05, Benjamin Root a écrit : >>> >> I do like the way you are thinking in terms of the broadcasting >>> >> semantics, but I wonder if that is a bit awkward. What I mean is, if >>> >> one were to use broadcasting semantics for creating an array, wouldn't >>> >> one have just simply used broadcasting anyway? The point of >>> >> broadcasting is to _avoid_ the creation of unneeded arrays. But maybe >>> >> I can be convinced with some examples. >>> > >>> > I feel that one of the point of the discussion is : although a new (or >>> > not so new...) function to create a filled array would be more elegant >>> > than the existing pair of functions "np.zeros" and "np.ones", there are >>> > maybe not so many usecases for filled arrays *other than zeros values*. >>> > >>> > I can remember having initialized a non-zero array *some months ago*. >>> > For the anecdote it was a vector of discretized vehicule speed values >>> > which I wanted to be initialized with a predefined mean speed value >>> > prior to some optimization. In that usecase, I really didn't care about >>> > the performance of this initialization step. >>> > >>> > So my overall feeling after this thread is >>> > - *yes* a single dedicated fill/init/someverb function would give a >>> > slightly better API, >>> > - but *no* it's not important because np.empty and np.zeros covers >>> > 95 >>> > % usecases ! >>> >>> I agree with your summary and conclusion. >>> >>> Eric >>> >> >> Can we at least have a np.nans() and np.infs() functions? This should >> cover an additional 4% of use-cases. >> >> Ben Root >> >> P.S. - I know they aren't verbs... > > > Would it be too weird or clumsy to extend the empty and empty_like functions > to do the filling? > > np.empty((10, 10), fill=np.nan) > np.empty_like(my_arr, fill=np.nan)
That sounds like a good idea to me. Someone wanting a fast way to fill an array will probably check out the 'empty' docstring first. See you, Matthew _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
