On Sun, 5 May 2019 at 11:08, Luca Baldini <luca.bald...@pi.infn.it> wrote: > > Hi here, > I wonder if the idea of adding to the statistics module a class to > calculate the running statistics (average and standard deviation) of a > generic input data stream has ever come up in the past.
There was discussion around this when the PEP was written. I think this is what is alluded to in the PEP with """ There is considerable interest in including one-pass functions that can calculate multiple statistics from data in iterator form, without having to convert to a list. The experimental stats package on PyPI includes co-routine versions of statistics functions. Including these will be deferred to 3.5. """ https://www.python.org/dev/peps/pep-0450/#future-work At the time I believe there was brief discussion about what the API should look like but it was deferred for future work. For the sakes of argument how about: from statistics import RunningStats, RunningMean, RunningMax stats = RunningStats({'mean':RunningMean, 'max':RunningMax}) stats.push_many([1, 5, 2, 4]) print(stats.running_stats()) # {'mean': 3, 'max': 5} -- Oscar _______________________________________________ Python-ideas mailing list Python-ideas@python.org https://mail.python.org/mailman/listinfo/python-ideas Code of Conduct: http://python.org/psf/codeofconduct/
