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Few things in the Python API care about order, but there are also quite
a few places that will return C-order (and are faster for C-order
inputs) whether you change those defaults or not.
The main issue is that e.g. some cython wrappers will probably assume
that the newly created array is C-order.
Hi,
On Mon, Nov 13, 2023 at 7:41 AM Aaron Meurer wrote:
>
> High level abstractions like .flat or boolean indexing / np.nonzero()
> always use C ordering regardless of the underlying data.
>
> >>> list(np.asarray([[0, 1], [2, 3]]).flat)
> [0, 1, 2, 3]
> >>> list(np.asarray([[0, 1], [2, 3]], order
