On Mon, Feb 14, 2022, at 12:45, Sebastian Berg wrote:
> But this is currently *not* consistently the case. I wish to make this
> consistent. The confusion is around object arrays, though:
>
> value = np.array(None, dtype=object)
> arr[0] = value
>
> Stores `value` without unpacking it cur
Hi all,
TL;DR: Are there strong opinions on what:
arr = np.array([None])
arr[0] = np.array(3)
arr.fill(np.array(3))
Should give? Right now NumPy usually stores the 0-D array, I want to
make `arr.fill()` consistent, so that is what it would be doing also.
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