Hey On Thu, 2013-04-04 at 14:20 -0700, Matthew Brett wrote: > Hi, > > On Tue, Apr 2, 2013 at 4:32 AM, Nathaniel Smith <n...@pobox.com> wrote: > <snip> > > Maybe we should go through and rename "order" to something more descriptive > > in each case, so we'd have > > a.reshape(..., index_order="C") > > a.copy(memory_order="F") > > etc.? > > I'd like to propose this instead: > > a.reshape(..., order="C") > a.copy(layout="F") >
I actually like this, makes the point clearer that it has to do with memory layout and implies contiguity, plus it is short and from the numpy perspective copy, etc. are the ones that add additional info to "order" and not reshape (because IMO memory order is something new users should not worry about at first). A and K orders will still have their quirks with np.array and copy=True/False, but for many functions they are esoteric anyway. It will be one hell of a deprecation though, but I am +0.5 for adding an alias for now (maybe someone knows an even better name?), but I think that in this case, it probably really is better to wait with actual deprecation warnings for a few versions, since it touches a *lot* of code. Plus I think at the point of starting deprecation warnings (and best earlier) numpy should provide an automatic fixer script... The only counter point that remains for me is the difficulty of deprecation, since I think the new name idea is very clean. And this is unfortunately even more invasive then the index_order proposal. Fun point at the end: ndarray.tostring takes an order argument, which is correct as "order" but has a lot in common with "layout" :). (that is not an issue IMO, but for me it is a reason to prefer the layout proposal over the index_order one). Regards, Sebastian > This fits well with the terms we've been using during the discussion. > It reduces the changes to only one of the two meanings. > > Thinking about it, I feel that this would have been considerably > clearer to me as I learned numpy. > > Cheers, > > Matthew > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@scipy.org > http://mail.scipy.org/mailman/listinfo/numpy-discussion > _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
