Alan G Isaac wrote:
On Sat, 26 Apr 2008, Gael Varoquaux apparently wrote:
For me this is wrong. list and tuples are not 2D. Numpy arrays happen to offer this feature, but you should not use it do to multiple dimension indexing.
But there is no proposal that people should index like this. The underlying issue is iteration. Currently::
>>> A matrix([[1, 2], [ 3, 4]]) >>> A = np.mat(x) >>> for row in A: ... for col in row: ... print col ... [[1 2]] [[3 4]]
So are you saying that one should not be able to iterate through to the elements of a matrix?
Iteration can be handled separately with __iter__ method that returns the actual iterator object which may be different. Or, as others have proposed .rows and .cols iterators. I'm not personally persuaded by the iteration argument, because we can change iteration independently of mapping (__getitem__) access. -Travis