On Tue, Feb 9, 2010 at 7:06 PM, Pierre GM <pgmdevl...@gmail.com> wrote: > On Feb 9, 2010, at 6:52 PM, Robert Kern wrote: >> On Tue, Feb 9, 2010 at 17:47, Ralf Gommers <ralf.gomm...@googlemail.com> >> wrote: >>> >>> >>> On Wed, Feb 10, 2010 at 6:02 AM, Robert Kern <robert.k...@gmail.com> wrote: >>>> >>>> >>>> For some reason, numpy.lib.recfunctions isn't in the documentation >>>> editor. I'm not sure why. >>>> >>> Because it's not in np.lib.__all__ . >> >> Then there needs to be a secondary way to add such modules. > > All, > I started porting JDH's functions from mlab to numpy.lib because I thought > it'd be nice to have them directly in the core of numpy, instead of spread > out in another package. However, I wanted to get a lot of feedback before > advertising them:
chicken and egg problem, without advertising very few users know they exist > * Should we put matplotlib.mlab functions directly into numpy ? I do think > so, even if I think we should make them a tad more generic and not tie them > to recarrays (you can do the same thing with structured arrays without the > overhead, albeit without the convenience of access-as-attributes). > * If yes to the question above, how should we proceed ? John, you mind > committing these functions to numpy.lib.rec_functions yourself ? If you > can't, any volunteer (I can do it but it would fall low on my priority list). > Once this is settle, then we could think about a way to present them in the > reference and/or user manual (like I did for genfromtxt). > Let me know what y'all think. > P. I think it's very helpful to have more helper functions and documentation to work with structured arrays. I also think that for newcomers the distinction in the documentation between recarrays and arrays with structured dtypes is not very clear, and how to work with structured arrays is not sufficiently documented. Essentially I only learned about them because of an answer Pierre gave once to me on the mailing list and I started to read the matplotlib and numpy source to see how to work with them. It also seems that structured arrays become the more recommended approach than recarrays (e.g. discussion by tabular developers on the mailing list and their switch to structured arrays). So, I'm in favor of advertising them, and advertising them for structured arrays and only secondary for recarrays. I have no idea about a good name that would suggest structured instead of rec. Josef > > > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@scipy.org > http://mail.scipy.org/mailman/listinfo/numpy-discussion > _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
