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

[josef.pktd at gmail.com]

On Mon, Feb 25, 2013 at 7:49 PM,  <josef.pktd at gmail.com> wrote:
> 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]))

Thanks for the hint.

my new favorite :)

>>> (freq - nobs * probs).__abs__().max()
132.0

Josef

>
> Josef
>
>
>>
>> Chuck
>>
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