On Mon, Aug 8, 2016 at 6:11 AM, Anakim Border <akbor...@gmail.com> wrote:
> Alternative version: > > >>> a = np.arange(10) > >>> a[np.array([1,6,5])] += 1 > >>> a > array([0, 2, 2, 3, 4, 6, 7, 7, 8, 9]) > I haven't checked, but a likely explanation is that Python itself interprets a[b] += c as a[b] = a[b] + c. Python has special methods for inplace assignment (__setitem__) and inplace arithmetic (__iadd__) but no special methods for inplace arithmetic and assignment at the same time, so this is really out of NumPy's control here.
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