On Thu, Apr 25, 2013 at 6:30 PM, Matthew Brett <[email protected]> wrote: > Hi, > > On Thu, Apr 25, 2013 at 10:14 AM, Robert Kern <[email protected]> wrote: >> On Wed, Apr 24, 2013 at 10:37 PM, andrew giessel >> <[email protected]> wrote: >>> Hello all- >>> >>> A while back I emailed the list about function for the numpy namespace, >>> iteraxis(), which allows you to generalize the default iteration behavior of >>> numpy arrays over any axis. >>> >>> I've implemented this function more cleanly and the pull request is here: >>> https://github.com/numpy/numpy/pull/3262, and includes passing tests and >>> documentation. >>> >>> This is very simple code, which uses np.rollaxis() to bring the desired >>> dimension to the front, and then allows you to loop over slices in this >>> re-structured view of the array. While little more than an alias, I feel >>> this is a very useful function because looping over iterators is a core >>> pattern in python, and makes working with slices of any multidimensional >>> array very pythonic. Adding this function makes this more visible for >>> users, new and old, and I hope members of this list will agree it is worth >>> adding to the namespace. >> >> I'm afraid I don't. It's a just a reduced-functionality version of >> rollaxis(). I don't think the additional name adds anything >> substantial. > > There's a little more on this in the pull request discussion for those > of y'all that are interested. > > So the decision has to be based on some estimate of: > > 1) Cost for adding a new function to the namespace > 2) Benefit : some combination of: Likelihood of needing to iterate > over arbitrary axis. Likelihood of not finding rollaxis / transpose as > a solution to this. Increased likelihood of finding iteraxis in this > situation.
3) Comparison with other solutions that might obtain the same benefits without the attendant costs: i.e. additional documentation in any number of forms. -- Robert Kern _______________________________________________ NumPy-Discussion mailing list [email protected] http://mail.scipy.org/mailman/listinfo/numpy-discussion
