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 <[email protected]> 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 <[email protected]> > 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 <[email protected]> >> wrote: >> >>> I'd prefer to stay in numpy land if possible. >>> >>> On Thu, May 11, 2017 at 1:17 PM, Isaac Xin Pei <[email protected]> >>> wrote: >>> >>>> Check Pandas pd.concate ? >>>> On Thu, May 11, 2017 at 12:45 PM Isaac Gerg <[email protected]> >>>> 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 >>>>> [email protected] >>>>> https://mail.python.org/mailman/listinfo/numpy-discussion >>>>> >>>> >>>> _______________________________________________ >>>> NumPy-Discussion mailing list >>>> [email protected] >>>> https://mail.python.org/mailman/listinfo/numpy-discussion >>>> >>>> >>> >>> _______________________________________________ >>> NumPy-Discussion mailing list >>> [email protected] >>> https://mail.python.org/mailman/listinfo/numpy-discussion >>> >>> >> >> _______________________________________________ >> NumPy-Discussion mailing list >> [email protected] >> https://mail.python.org/mailman/listinfo/numpy-discussion >> >> > _______________________________________________ > NumPy-Discussion mailing list > [email protected] > https://mail.python.org/mailman/listinfo/numpy-discussion >
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