On Fri, Mar 21, 2014 at 9:01 PM, Charles R Harris <charlesr.har...@gmail.com > wrote:
> > > > On Fri, Mar 21, 2014 at 6:49 PM, <josef.p...@gmail.com> wrote: > >> >> >> >> On Fri, Mar 21, 2014 at 8:46 PM, Charles R Harris < >> charlesr.har...@gmail.com> wrote: >> >>> >>> >>> >>> On Fri, Mar 21, 2014 at 6:26 PM, Alan G Isaac <alan.is...@gmail.com>wrote: >>> >>>> The documentation of numpy.unique >>>> http://docs.scipy.org/doc/numpy/reference/generated/numpy.unique.html >>>> does not seem to promise that return_index=True will always index the >>>> *first* occurrence of each unique item, which I believe is the current >>>> behavior. >>>> >>>> A promise would be nice. >>>> Is it intended? >>>> >>>> >>> Yes, it is intended, although the required mergesort wasn't available >>> for all types before numpy 1.7. >>> >> >> Does this mean return_inverse works again for all cases, even with >> return_index? >> >> I removed return_index from my code in statsmodels because I make >> frequent use of return_inverse, which was broken. We don't have any >> unittests in statsmodels anymore that use both return_xxx. >> >> > I don't know, needs checking. Seems to work now with a simple trial array > of integers. > my example from may 2012, thread "1.6.2 no more unique for rows" works fine on python 3.3 numpy 1.7.1 >>> groups = np.random.randint(0,4,size=(10,2)) >>> groups_ = groups.view([('',groups.dtype)]*groups.shape[1]).flatten() >>> uni, uni_idx, uni_inv = np.unique(groups_, return_index=True, return_inverse=True) >>> uni array([(0, 2), (0, 3), (1, 0), (2, 1), (2, 2), (3, 2), (3, 3)], dtype=[('f0', '<i4'), ('f1', '<i4')]) >>> uni_inv array([1, 6, 3, 4, 5, 3, 2, 5, 0, 2], dtype=int32) >>> np.__version__ '1.7.1' Thanks, Josef > Chuck > > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@scipy.org > http://mail.scipy.org/mailman/listinfo/numpy-discussion > >
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