GeezerVison is showing github.com — GH-102670: Use sumprod() to simplify, speed up, and improve accuracy of statistics functions by rhettinger · Pull Request #102649 · python/cpython
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rhettinger
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Mar 13, 2023
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edited by bedevere-bot
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- Use sumprod() which is faster, simpler, and more accurate than rounding each multiplication before summation.
- For an additional speed-up and simplification, compute the
(x_xi - bar) only once instead of multiple times.
- For Spearman's rank correlation, we can skip the
(x_xi - bar) step because the ranks are centered around zero.
Baseline timing
% ./python.exe -m timeit -r11 -s 'from random import expovariate as r' -s 'from statistics import correlation' -s 'n=100' -s 'data = [r() for i in range(n)]' -s 'weights = [r() for i in range(n)]' 'correlation(data, weights)'
10000 loops, best of 11: 21 usec per loop
Timing with PR
% ./python.exe -m timeit -r11 -s 'from random import expovariate as r' -s 'from statistics import correlation' -s 'n=100' -s 'data = [r() for i in range(n)]' -s 'weights = [r() for i in range(n)]' 'correlation(data, weights)'
50000 loops, best of 11: 8.92 usec per loop
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rhettinger
changed the title
Use sumprod() to simplify, speed up, and improve accuracy of statistics functions
GH-102670: Use sumprod() to simplify, speed up, and improve accuracy of statistics functions
Mar 13, 2023
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"""Test suite for statistics module, including helper NumericTestCase and
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x = """Test suite for statistics module, including helper NumericTestCase and
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Is this a typo or some kind of black magic?
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