STINNER Victor <victor.stin...@gmail.com> added the comment: I suggest you to take a look at my perf project which has a timeit function and command. perf has a different design: it stores all values, and so many statisticals functions can be used. By the way, it does include most common statistical functions in its API, and provide a few more in the CLI.
The timeit module of the stdlib computes 5 values by default... I'm not sure that it's revelant to compute the standard deviation only on 5 values. perf computes 60 values and computes then in 20 different processes (run sequentially). With 60 values, I expect that the computing statistics makes more sense. About the PR itself, I dislike providing a fixed list of statistical functions. For example, what if someone needs the geometric mean? What if you want to count outliers? etc. If someone really wants timeit to evolve, I suggest to return all values rather than only the minimum: as repeat() does. By the way, using the minimum is IMHO a bad idea, but I already proposed to change timeit, and my change was rejected because of the backward compatibility. I decided to stop trying to convince other core developers and leave the timeit module unchanged, with all its bugs. And instead, I suggest to everyone to stop using it (PyPy also warns users and asks to use perf instead), and use perf timeit instead... ---------- _______________________________________ Python tracker <rep...@bugs.python.org> <https://bugs.python.org/issue32589> _______________________________________ _______________________________________________ Python-bugs-list mailing list Unsubscribe: https://mail.python.org/mailman/options/python-bugs-list/archive%40mail-archive.com
