Alexander Belopolsky added the comment: > Once we start special-casing types, where will it end?
At the point where all stdlib types are special-cased. :-) > In the meantime, there's a simple way to do this: py> from datetime import timedelta as td py> data = [td(2), td(1), td(3), td(4)] py> m = statistics.mean([x.total_seconds() for x in data]) py> td(seconds=m) datetime.timedelta(2, 43200) Simple, but as simple ways go in this area not correct. Here is the right way: py> td.resolution * statistics.mean(d//td.resolution for d in data) datetime.timedelta(2, 43200) I wish I had a solution to make sum() work properly on timedeltas without special-casing. I thought that start could default to type(data[0])(0), but that would bring in strings. Maybe statistics.mean() should support non-numbers that support addition and division by a number? Will it be too confusing if mean() supports types that sum() does not? ---------- _______________________________________ Python tracker <rep...@bugs.python.org> <http://bugs.python.org/issue18606> _______________________________________ _______________________________________________ Python-bugs-list mailing list Unsubscribe: http://mail.python.org/mailman/options/python-bugs-list/archive%40mail-archive.com
