Hi all, I've opened a new pull request (https://github.com/numpy/numpy/pull/7742) trying to revive a previous one that was left abandoned (#3584, by another contributor), regarding the possibility of adding an 'axis=' argument to numpy.unique.
There had been a debate (http://numpy-discussion.10968.n7.nabble.com/Adding-an-axis-argument-to-numpy-unique-td34841.html) about what the axis argument should mean. The current behaviour in the code I propose (written by the previous contributor) looks for unique rows if "axis=0" and unique columns if "axis=1", in other words: [In] a = array([[0, 0, 0], [1, 1, 1], [0, 0, 0]]) [In] unique(a, axis=0) [Out] array([[0, 0, 0], [1, 1, 1]]) So, I would just like to ask whether a conclusion can be reached about that discussion. Thanks! Martino -- The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336. _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org https://mail.scipy.org/mailman/listinfo/numpy-discussion
