> On Oct 23, 2015, at 6:49 PM, Nathaniel Smith <n...@pobox.com> wrote:
> 
> On Oct 23, 2015 3:30 PM, "Jeff Reback" <jeffreb...@gmail.com> wrote:
> >
> > On Oct 23, 2015, at 6:13 PM, Charles R Harris <charlesr.har...@gmail.com> 
> > wrote:
> >
> >>
> >>
> >> On Thu, Oct 22, 2015 at 5:47 PM, Chris Barker - NOAA Federal 
> >> <chris.bar...@noaa.gov> wrote:
> >>>
> >>>
> >>>> I think it would be good to keep the usage to read binary data at least.
> >>>
> >>>
> >>> Agreed -- it's only the text file reading I'm proposing to deprecate. It 
> >>> was kind of weird to cram it in there in the first place.
> >>>
> >>> Oh, fromfile() has the same issues.
> >>>
> >>> Chris
> >>>
> >>>
> >>>> Or is there a good alternative to `np.fromstring(<bytes>, dtype=...)`?  
> >>>> -- Marten
> >>>>
> >>>> On Thu, Oct 22, 2015 at 1:03 PM, Chris Barker <chris.bar...@noaa.gov> 
> >>>> wrote:
> >>>>>
> >>>>> There was just a question about a bug/issue with scipy.fromstring 
> >>>>> (which is numpy.fromstring) when used to read integers from a text file.
> >>>>>
> >>>>> https://mail.scipy.org/pipermail/scipy-user/2015-October/036746.html
> >>>>>
> >>>>> fromstring() is bugging and inflexible for reading text files -- and it 
> >>>>> is a very, very ugly mess of code. I dug into it a while back, and gave 
> >>>>> up -- just to much of a mess!
> >>>>>
> >>>>> So we really should completely re-implement it, or deprecate it. I 
> >>>>> doubt anyone is going to do a big refactor, so that means deprecating 
> >>>>> it.
> >>>>>
> >>>>> Also -- if we do want a fast read numbers from text files function 
> >>>>> (which would be nice, actually), it really should get a new name anyway.
> >>>>>
> >>>>> (and the hopefully coming new dtype system would make it easier to 
> >>>>> write cleanly)
> >>>>>
> >>>>> I'm not sure what deprecating something means, though -- have it raise 
> >>>>> a deprecation warning in the next version?
> >>>>>
> >>
> >> There was discussion at SciPy 2015 of separating out the text reading 
> >> abilities of Pandas so that numpy could include it. We should contact Jeff 
> >> Rebeck and see about moving that forward.
> >
> >
> > IIRC Thomas Caswell was interested in doing this :)
> 
> When he was in Berkeley a few weeks ago he assured me that every night since 
> SciPy he has dutifully been feeling guilty about not having done it yet. I 
> think this week his paltry excuse is that he's "on his honeymoon" or 
> something.
> 
> ...which is to say that if someone has some spare cycles to take this over 
> then I think that might be a nice wedding present for him :-).
> 
> (The basic idea is to take the text reading backend behind pandas.read_csv 
> and extract it into a standalone package that pandas could depend on, and 
> that could also be used by other packages like numpy (among others -- I thing 
> dato's SFrame package has a fork of this code as well?))
> 
> -n
> 
> _______________________________________________
> NumPy-Discussion mailing list
> NumPy-Discussion@scipy.org
> https://mail.scipy.org/mailman/listinfo/numpy-discussion

I can certainly provide guidance on how/what to extract but don't have spare 
cycles myself for this :(
_______________________________________________
NumPy-Discussion mailing list
NumPy-Discussion@scipy.org
https://mail.scipy.org/mailman/listinfo/numpy-discussion

Reply via email to