Hi, On Thu, Apr 4, 2013 at 9:21 AM, Chris Barker - NOAA Federal <chris.bar...@noaa.gov> wrote: > On Wed, Apr 3, 2013 at 6:13 PM, Matthew Brett <matthew.br...@gmail.com> wrote: >>> We all agree that 'order' is used with two different and orthogonal >>> meanings in numpy.
Brief thank you for your helpful and thoughtful discussion. > well, not entirely orthogonal -- they are the some concept, used in > different contexts, Here's a further clarification, in the hope that it is helpful: Input and output index orderings are orthogonal - I can read the data with C index ordering and return an array that is index ordered any-old-how. F and C are used in the sense of F contiguous and C contiguous - where contiguous is not the same concept as index ordering. So I think it's hard to say these concepts are not orthogonal, simply in the technical sense that order='F" could mean: * read my data using F-style index ordering * return my data in an array using F-style index ordering * (related to above) return my data in F-contiguous memory layout > so there is some benefit to their having > similarity. Would you agree with the stuff above? If you do - do you agree that not separating these ideas could be confusing? Cheers, Matthew _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
