Mark Dickinson added the comment: > Hmm, well, I don't have SciPy installed, but I've found that despite > their (well-deserved) reputation, numpy (and presumably scipy) often > have rather naive algorithms that can lose accuracy rather > spectacularly.
Agreed. And as Ram Rachum hinted, there seems little point aiming to duplicate things that already exist in the de facto standard scientific libraries. So I think there's a place for a non-naive carefully computed geometric mean in the std. lib. statistics module, but I wouldn't see the point of simply adding an exp-mean-log implementation (not that anyone is advocating that). ---------- _______________________________________ Python tracker <rep...@bugs.python.org> <http://bugs.python.org/issue27181> _______________________________________ _______________________________________________ Python-bugs-list mailing list Unsubscribe: https://mail.python.org/mailman/options/python-bugs-list/archive%40mail-archive.com
