Re-reading your post, I see you are talking about something different. Not exactly sure what your use-case is.
Ben Root On Fri, Feb 12, 2016 at 9:49 AM, Benjamin Root <ben.v.r...@gmail.com> wrote: > Seems like you are talking about xarray: https://github.com/pydata/xarray > > Cheers! > Ben Root > > On Fri, Feb 12, 2016 at 9:40 AM, Sérgio <filab...@gmail.com> wrote: > >> Hello, >> >> This is my first e-mail, I will try to make the idea simple. >> >> Similar to masked array it would be interesting to use a label array to >> guide operations. >> >> Ex.: >> >>> x >> labelled_array(data = >> [[0 1 2] >> [3 4 5] >> [6 7 8]], >> label = >> [[0 1 2] >> [0 1 2] >> [0 1 2]]) >> >> >>> sum(x) >> array([9, 12, 15]) >> >> The operations would create a new axis for label indexing. >> >> You could think of it as a collection of masks, one for each label. >> >> I don't know a way to make something like this efficiently without a >> loop. Just wondering... >> >> Sérgio. >> >> _______________________________________________ >> NumPy-Discussion mailing list >> NumPy-Discussion@scipy.org >> https://mail.scipy.org/mailman/listinfo/numpy-discussion >> >> >
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