On Wed, Nov 7, 2012 at 11:24 AM, <josef.p...@gmail.com> wrote: > On Tue, Nov 6, 2012 at 9:52 PM, Warren Weckesser > <warren.weckes...@gmail.com> wrote: > > > > > > On Tue, Nov 6, 2012 at 8:27 PM, Phillip Feldman > > <phillip.m.feld...@gmail.com> wrote: > >> > >> numpy.unique behaves as I would expect for small inputs like the > >> following: > >> > >> In [12]: x= [0, 0, 1, 0, 1, 2, 0, 1, 2, 3] > >> > >> In [13]: unique(x, return_index=True) > >> Out[13]: (array([0, 1, 2, 3]), array([0, 2, 5, 9], dtype=int64)) > >> > >> But, when I give it something larger, the return index values do not > >> always correspond to the first occurrences in the input. The > documentation > >> is silent on the question of how the return index values are chosen > when a > >> given element of x appears more than once. Either the documentation > should > >> be > >> clarified, or better yet, the behavior should be changed. > > > > > > > > In fact, it was changed (in the master branch on github) several months > ago, > > but there has not yet been a release with the changes. The sort method > that > > np.unique passes to np.argsort is now 'mergesort', and the docstring > states > > that the indices returned are for the first occurrences of the unique > > elements. The new docstring is here: > > > http://docs.scipy.org/doc/numpy-dev/reference/generated/numpy.unique.html#numpy.unique > > > > See > > > https://github.com/numpy/numpy/commit/dbf235169ed3386b359caaa9217f5280bf1d6749 > > for the commit, and > > https://github.com/numpy/numpy/blob/master/numpy/lib/arraysetops.py for > the > > latest version of the source. > > I think it's in 1.6.2 and it broke return_index for structured dtypes, > IIRC. > >
You are correct, Josef, that change is in 1.6.2. Thanks. Warren Josef > > > > > > Warren > > > > > >> > >> _______________________________________________ > >> NumPy-Discussion mailing list > >> NumPy-Discussion@scipy.org > >> http://mail.scipy.org/mailman/listinfo/numpy-discussion > >> > > > > > > _______________________________________________ > > NumPy-Discussion mailing list > > NumPy-Discussion@scipy.org > > http://mail.scipy.org/mailman/listinfo/numpy-discussion > > > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@scipy.org > http://mail.scipy.org/mailman/listinfo/numpy-discussion >
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