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 >
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