[Numpy-discussion] Views and Increments

[Sebastian Berg]

On Mo, 2016-08-08 at 15:11 +0200, Anakim Border wrote:
> Dear List,
> 
> I'm experimenting with views and array indexing. I have written two
> code blocks that I was expecting to produce the same result.
> 
> First try:
> 
> >>> a = np.arange(10)
> >>> b = a[np.array([1,6,5])]
> >>> b += 1
> >>> a
> array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])
> 
> 
> 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 understand what is happening in the first case. In fact, the
> documentation is quite clear on the subject:
> 
> For all cases of index arrays, what is returned is a copy of the
> original data, not a view as one gets for slices.
> 
> What about the second case? There, I'm not keeping a reference to the
> intermediate copy (b, in the first example). Still, I don't see why
> the update (to the copy) is propagating to the original array. Is
> there any implementation detail that I'm missing?
> 

The second case translates to:

tmp = a[np.array([1,6,5])] + 1
a[np.array([1,6,5])] = tmp

this is done by python, without any interplay of numpy at all. Which is
different from `arr += 1`, which is specifically defined and translates
to `np.add(arr, 1, out=arr)`.

- Sebastian


> Best,
>   ab
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