New submission from Peter Norvig:
mean([True, True, True, False]) should be 0.75, but it returns 0.25.
The fix is to change _sum so that when the type is bool, the result should be
coerced to int, not bool.
Why it is important for statistics.mean to work with bools:
It is natural to say something like
mean(x > threshold for x in data)
and expect to get the percentage of items in data that are above threshold.
----------
components: Library (Lib)
messages: 264670
nosy: Peter.Norvig
priority: normal
severity: normal
status: open
title: statistics.mean of bools
type: behavior
versions: Python 3.4, Python 3.5, Python 3.6
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Python tracker <rep...@bugs.python.org>
<http://bugs.python.org/issue26913>
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