[Numpy-discussion] Changing np.ravel's return to be same array type as input array

[Charles R Harris]

On Sat, Dec 27, 2014 at 10:56 PM, Garrett Reynolds <
garrettreynolds5 at gmail.com> wrote:

> I made a pull request to change np.ravel so that it would return the same
> array type (ndarray, matrix, masked array, etc.) as it took in.
>
> This would bring np.ravel in line with other functions.  For example,
> np.sort, np.clip, np.cumsum, np.conjugate, np.partition, np.reshape,
> np.transpose, etc.  all return the same array type as they take in.  In
> addition, np.diag and np.diagonal were recently changed in PR #5358 to
> return the same array type they take in.  Now, np.ravel may be the only
> outstanding function with the surprising behavior of always returning an
> array.
>
> The concern is that *this could break the code of np.matrix users*, so
> @jaimefrio suggested I post here to get some feedback.
>
> You can see more comments on the PR:
> https://github.com/numpy/numpy/pull/5398
>
>
The changes to np.diag and np.diagonal did break some code, but I think is
is the right thing to do. Matrix is a bit of an oddity, in that it fools
with the number of dimensions, but I think consistency and preserving other
subtypes like units is more important. The change needs to be noted in the
1.10 release notes under compatibility, I haven't checked yet to see if
that is already done in the PR.

Chuck.
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