Re: [Numpy-discussion] Fortran order in recarray.

2017-02-21 Thread Nathaniel Smith
On Feb 21, 2017 3:24 PM, "Alex Rogozhnikov" wrote: Ah, got it. Thanks, Chris! I thought recarray can be only one-dimensional (like tables with named columns). Maybe it's better to ask directly what I was looking for: something that works like a table with named columns (but no labelling for rows

Re: [Numpy-discussion] Fortran order in recarray.

2017-02-21 Thread Alex Rogozhnikov
Ah, got it. Thanks, Chris! I thought recarray can be only one-dimensional (like tables with named columns). Maybe it's better to ask directly what I was looking for: something that works like a table with named columns (but no labelling for rows), and keeps data (of different dtypes) in a column

Re: [Numpy-discussion] Fortran order in recarray.

2017-02-21 Thread Chris Barker
On Tue, Feb 21, 2017 at 3:05 PM, Alex Rogozhnikov < alex.rogozhni...@yandex.ru> wrote: > a question about numpy.recarray: > There is a parameter order in constructor https://docs.scipy.org/doc/ > numpy-1.10.1/reference/generated/numpy.recarray.html, but it seems to > have no effect: > x = numpy.re

[Numpy-discussion] Fortran order in recarray.

2017-02-21 Thread Alex Rogozhnikov
Hi, a question about numpy.recarray: There is a parameter order in constructor https://docs.scipy.org/doc/numpy-1.10.1/reference/generated/numpy.recarray.html , but it seems to have no effect: import numpy x = nu

Re: [Numpy-discussion] PowerPC testing servers

2017-02-21 Thread Matthew Brett
Hi, On Thu, Feb 16, 2017 at 12:50 AM, Ralf Gommers wrote: > > > On Thu, Feb 16, 2017 at 8:58 AM, Matthew Brett > wrote: >> >> On Wed, Feb 15, 2017 at 7:55 PM, Ralf Gommers >> wrote: >> > >> > >> > On Thu, Feb 16, 2017 at 8:45 AM, Matthew Brett >> > wrote: >> >> >> >> On Wed, Feb 15, 2017 at 7:

[Numpy-discussion] Could we simplify backporting?

2017-02-21 Thread Marten van Kerkwijk
Hi All, In gh-8594, a question came up how to mark things that should be backported and Chuck commented [1]: > Our backport policy is still somewhat ad hoc, especially as I the only one > who has been doing release. What I currently do is set the milestone to the > earlier version, so I will fi

Re: [Numpy-discussion] ANN: NumExpr3 Alpha

2017-02-21 Thread Francesc Alted
Yes, Julian is doing an amazing work on getting rid of temporaries inside NumPy. However, NumExpr still has the advantage of using multi-threading right out of the box, as well as integration with Intel VML. Hopefully these features will eventually arrive to NumPy, but meanwhile there is still va