Frank, I think you’re looking for np.add.at(a, ind, v), documented here <https://docs.scipy.org/doc/numpy/reference/generated/numpy.ufunc.at.html>
Eric On Fri, 19 May 2017 at 17:13 Frank Horowitz <fr...@horow.net> wrote: > Hi All, > > In the numpy library, are there any equivalences of numpy.put to > additively store the values rather than simply overwriting? > > Alternatively, would there be significant speed penalties to code of the > form > > a.flat[ind] += v > > Thanks in advance for any help you might be able to provide! > > Frank Horowitz > > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@python.org > https://mail.python.org/mailman/listinfo/numpy-discussion >
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