Certainly have done `np.random.normal(2*n).view('c16')` very often. Makes
sense to just allow it to be generated directly. -- MartenOn Sat, Mar 30, 2019 at 6:24 PM Hameer Abbasi <einstein.edi...@gmail.com> wrote: > On Friday, Mar 29, 2019 at 6:03 PM, Hameer Abbasi < > einstein.edi...@gmail.com> wrote: > > On Friday, Mar 29, 2019 at 6:01 PM, Kevin Sheppard < > kevin.k.shepp...@gmail.com> wrote: > One part of moving randomgen closer to fulfilling NEP-19 is rationalizing > the API, especially new features not in RandomState. Matti Picus has made a > lot of progress in getting it integrated, especially the part of replacing > RandomState shimed version of the new generator. > > There is only one new method in the generator, a scalar generator for > complex normals. It is scalar in the sense that it is the complex version > of np.random.normal, and so supports broadcasting. > > This was written based on some GH comments. This would be a new API and > so it needs to come here first to see if there is any support. > > If there is support, then it will appear in the new RandomGenerator, but > not the RandomState replacement. If not, then we can just delete it. > > Kevin > > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@python.org > https://mail.python.org/mailman/listinfo/numpy-discussion > > > +1 > > Best Regards, > Hameer Abbasi > > > To expand on this, the Complex normal distribution is pretty common in > communications, control, signals and systems, and so on. :) It’d be a great > add. > > Best Regards, > Hameer Abbasi > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@python.org > https://mail.python.org/mailman/listinfo/numpy-discussion >
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