On Sat, 2025-04-12 at 10:10 +0000, Mateusz Sokol wrote:
> Hi all!
> 
> The Array API standard states that `T` property should only be
> applied to 2-dimensional arrays, in all other cases it should raise
> an error:
> https://data-apis.org/array-api/latest/API_specification/generated/array_api.array.T
> 
> To ensure that NumPy also follows this rule, I opened a PR that
> raises a warning for `arr.T` for non-2-dimensional arrays and
> scalars: https://github.com/numpy/numpy/pull/28678


There was once a surprising amount of resistance to doing this exact
change a long time ago in NumPy and that is exactly why it never
happened earlier and that is why we have `.mT` and not just `.T` to
begin with.

I am still happy with slowly deprecating it with a message to use
`arr.transpose()`,  `np.moveaxis()`, or `.mT` when it is applies.
Maybe making sure that `.T` keeps working at least for 2-D, and think
about what to do for 1-D (probably an error), although I am not sure
about this unless there is a long term plan to consider allowing `.T`
to mean the same as `.mT`.


That sais, it is not correct to say there is any incompatibility!  This
is an opinionated recommendation at most and if it was more it would
probably be a mistake there.

- Sebastian



> 
> For non-2-dimensional arrays, the replacement for `arr.T` can be
> either: Array API compatible, namely `np.permute_dims(arr,
> range(arr.ndim)[::-1])`, or shorter, NumPy specific:
> `arr.transpose()`.
> 
> The new discrepancy between `arr.T` and `arr.transpose()` is
> justified, as `T` is defined by the Array API, where `transpose`
> isn't and should retain the existing behavior.
> 
> Please share your thoughts! 
> 
> Best regards,
> Mateusz
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