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 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 _______________________________________________ NumPy-Discussion mailing list -- numpy-discussion@python.org To unsubscribe send an email to numpy-discussion-le...@python.org https://mail.python.org/mailman3/lists/numpy-discussion.python.org/ Member address: arch...@mail-archive.com
