[Numpy-discussion] Adding .abs() method to the array object

[josef.pktd at gmail.com]

On Mon, Feb 25, 2013 at 7:11 PM, Charles R Harris
<charlesr.harris at gmail.com> wrote:
>
>
> On Sat, Feb 23, 2013 at 1:33 PM, Robert Kern <robert.kern at gmail.com> wrote:
>>
>> On Sat, Feb 23, 2013 at 7:25 PM, Nathaniel Smith <njs at pobox.com> wrote:
>> > On Sat, Feb 23, 2013 at 3:38 PM, Till Stensitzki <mail.till at 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 at scipy.org
> http://mail.scipy.org/mailman/listinfo/numpy-discussion
>