On Mon, Feb 25, 2013 at 7:11 PM, Charles R Harris <charlesr.har...@gmail.com> wrote: > > > On Sat, Feb 23, 2013 at 1:33 PM, Robert Kern <robert.k...@gmail.com> wrote: >> >> On Sat, Feb 23, 2013 at 7:25 PM, Nathaniel Smith <n...@pobox.com> wrote: >> > On Sat, Feb 23, 2013 at 3:38 PM, Till Stensitzki <mail.t...@gmx.de> >> > wrote: >> >> Hello, >> >> i know that the array object is already crowded, but i would like >> >> to see the abs method added, especially doing work on the console. >> >> Considering that many much less used functions are also implemented >> >> as a method, i don't think adding one more would be problematic. >> > >> > My gut feeling is that we have too many methods on ndarray, not too >> > few, but in any case, can you elaborate? What's the rationale for why >> > np.abs(a) is so much harder than a.abs(), and why this function and >> > not other unary functions? >> >> Or even abs(a). > > > Well, that just calls a method: > > In [1]: ones(3).__abs__() > Out[1]: array([ 1., 1., 1.]) > > Which shows the advantage of methods, they provide universal function hooks.
Maybe we should start to advertise magic methods. I only recently discovered I can use divmod instead of the numpy functions: >>> divmod(np.array([1.4]), 1) (array([ 1.]), array([ 0.4])) >>> np.array([1.4]).__divmod__(1) (array([ 1.]), array([ 0.4])) Josef > > Chuck > > _______________________________________________ > 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