Will do. I'm working on my side to get a solution that works. It seems that when i use append_field i dont get a recarray back and when i call asrecarray=True, i get an error. once i fix this. i will replicate the error and post to github.
On Thu, May 11, 2017 at 5:07 PM, Eric Wieser <wieser.eric+nu...@gmail.com> wrote: > Even if you solve your own problem, please do - a SystemError is 100% a > mistake in numpy, and should never be raised from python code, even if you > call a numpy function with the wrong inputs. > > Eric > > > On Thu, 11 May 2017 at 19:35 Isaac Gerg <isaac.g...@gergltd.com> wrote: > >> Sure. >> >> On Thu, May 11, 2017 at 2:31 PM, Eric Wieser <wieser.eric+nu...@gmail.com >> > wrote: >> >>> If that's the case, can you file an issue on github along with a minimal >>> example that produces the error, and the full stack trace? >>> >>> On Thu, 11 May 2017 at 19:29 Isaac Gerg <isaac.g...@gergltd.com> wrote: >>> >>>> newtable = np.lib.recfunctions.merge_arrays([a, b], asrecarray=True) >>>> >>>> yeilds: >>>> >>>> builtins.SystemError: ..\Objects\dictobject.c:2054: bad argument to >>>> internal function >>>> >>>> On Thu, May 11, 2017 at 2:02 PM, Benjamin Root <ben.v.r...@gmail.com> >>>> wrote: >>>> >>>>> Check in numpy.recfunctions. I know there is merge_arrays() and >>>>> stack_arrays(). I forget which one does what. >>>>> >>>>> Cheers! >>>>> Ben Root >>>>> >>>>> >>>>> On Thu, May 11, 2017 at 1:51 PM, Isaac Gerg <isaac.g...@gergltd.com> >>>>> wrote: >>>>> >>>>>> I'd prefer to stay in numpy land if possible. >>>>>> >>>>>> On Thu, May 11, 2017 at 1:17 PM, Isaac Xin Pei <isaac...@gmail.com> >>>>>> wrote: >>>>>> >>>>>>> Check Pandas pd.concate ? >>>>>>> On Thu, May 11, 2017 at 12:45 PM Isaac Gerg <isaac.g...@gergltd.com> >>>>>>> wrote: >>>>>>> >>>>>>>> I have 2 arrays, a and b which are rec arrays of length 10. Each >>>>>>>> array has 5 columns. >>>>>>>> >>>>>>>> I would like to combine all the columns into a single recarray with >>>>>>>> 10 columns and length 10. >>>>>>>> >>>>>>>> Thanks, >>>>>>>> Isaac >>>>>>>> _______________________________________________ >>>>>>>> NumPy-Discussion mailing list >>>>>>>> NumPy-Discussion@python.org >>>>>>>> https://mail.python.org/mailman/listinfo/numpy-discussion >>>>>>>> >>>>>>> >>>>>>> _______________________________________________ >>>>>>> NumPy-Discussion mailing list >>>>>>> NumPy-Discussion@python.org >>>>>>> https://mail.python.org/mailman/listinfo/numpy-discussion >>>>>>> >>>>>>> >>>>>> >>>>>> _______________________________________________ >>>>>> NumPy-Discussion mailing list >>>>>> NumPy-Discussion@python.org >>>>>> https://mail.python.org/mailman/listinfo/numpy-discussion >>>>>> >>>>>> >>>>> >>>>> _______________________________________________ >>>>> NumPy-Discussion mailing list >>>>> NumPy-Discussion@python.org >>>>> https://mail.python.org/mailman/listinfo/numpy-discussion >>>>> >>>>> >>>> _______________________________________________ >>>> NumPy-Discussion mailing list >>>> NumPy-Discussion@python.org >>>> https://mail.python.org/mailman/listinfo/numpy-discussion >>>> >>> >>> _______________________________________________ >>> NumPy-Discussion mailing list >>> NumPy-Discussion@python.org >>> https://mail.python.org/mailman/listinfo/numpy-discussion >>> >>> >> _______________________________________________ >> NumPy-Discussion mailing list >> NumPy-Discussion@python.org >> https://mail.python.org/mailman/listinfo/numpy-discussion >> > > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@python.org > https://mail.python.org/mailman/listinfo/numpy-discussion > >
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