Hi, On Fri, Jan 18, 2013 at 12:13 AM, Thouis (Ray) Jones <tho...@gmail.com>wrote:
> On Thu, Jan 17, 2013 at 10:27 AM, Charles R Harris > <charlesr.har...@gmail.com> wrote: > > > > > > On Wed, Jan 16, 2013 at 5:11 PM, eat <e.antero.ta...@gmail.com> wrote: > >> > >> Hi, > >> > >> In a recent thread > >> http://article.gmane.org/gmane.comp.python.numeric.general/52772 it was > >> proposed that .fill(.) should return self as an alternative for a > trivial > >> two-liner. > >> > >> I'm raising now the question: what if all in-place operations indeed > could > >> return self? How bad this would be? A 'strong' counter argument may be > found > >> at http://mail.python.org/pipermail/python-dev/2003-October/038855.html > . > >> > >> But anyway, at least for me. it would be much more straightforward to > >> implement simple mini dsl's > >> (http://en.wikipedia.org/wiki/Domain-specific_language) a much more > >> straightforward manner. > >> > >> What do you think? > >> > > > > I've read Guido about why he didn't like inplace operations returning > self > > and found him convincing for a while. And then I listened to other folks > > express a preference for the freight train style and found them > convincing > > also. I think it comes down to a preference for one style over another > and I > > go back and forth myself. If I had to vote, I'd go for returning self, > but > > I'm not sure it's worth breaking python conventions to do so. > > > > Chuck > > I'm -1 on breaking with Python convention without very good reasons. > As an example I personally find following behavior highly counter intuitive. In []: p, P= rand(3, 1), rand(3, 5) In []: ((p- P)** 2).sum(0).argsort() Out[]: array([2, 4, 1, 3, 0]) In []: ((p- P)** 2).sum(0).sort().diff() ------------------------------------------------------------ Traceback (most recent call last): File "<ipython console>", line 1, in <module> AttributeError: 'NoneType' object has no attribute 'diff' Regards, -eat > > Ray > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@scipy.org > http://mail.scipy.org/mailman/listinfo/numpy-discussion >
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