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. As a data point - Gael pointed me to rollaxis back in the day, I didn't find it myself, and although it was completely obvious in retrospect, it had not previously occurred to me to use transposing for this task. Cheers, Matthew _______________________________________________ NumPy-Discussion mailing list [email protected] http://mail.scipy.org/mailman/listinfo/numpy-discussion
