On Wed, 16 Apr 2008, Gael Varoquaux wrote: > let us pretend A[:, 1] returns a 1D array, as you seem to > be wanting
Where did I say anything like that?? Please look at the proposal. It affects **only** scalar indexing (and thereby iteration). Recall how emphatically I agreed with you: Multiple indexes should always return submatrices, and the right way to get submatrices is with multiple indexes. I have proposed no change in the behavior of non-scalar indexes. None. I specify an actual code change on the page you asked me to create. It is a trivial change in __getitem__. It does not lead to any of the breakage you suggest, because it does not change the behavior you consider. Please look: it changes *only* the processing of a scalar index. Since I'm not familiar with NumPy internals, I offer this only to pin down what I am talking about, not as a proposed code change. But it should make it clear that I am not asking what you suggest. AND (!!) my proposed change means that A[x][y] == A[x, y] which is not currently true. One good thing has come out of this discussion: as far as I can tell, everyone agrees that there should be a change such that A[x][y] == A[x, y] I believe I am proposing the simplest change, which leaves matrices as much like ndarrays as possible. My main objection to Stefan's proposal is that it adds substantial complexity for no apparent gain. Charles may have been suggesting that he can see a substantial gain: his comment was too cryptic for me. If so, I would be interested. Cheers, Alan _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
