[Python-checkins] Update nonstandard variable names (GH-26540)
rhettinger
webhook-mailer at python.org
Fri Jun 4 19:28:41 EDT 2021
https://github.com/python/cpython/commit/3668e118f77c4e53167b75352c53674e758e1877
commit: 3668e118f77c4e53167b75352c53674e758e1877
branch: main
author: Raymond Hettinger <rhettinger at users.noreply.github.com>
committer: rhettinger <rhettinger at users.noreply.github.com>
date: 2021-06-04T16:28:31-07:00
summary:
Update nonstandard variable names (GH-26540)
files:
M Lib/statistics.py
diff --git a/Lib/statistics.py b/Lib/statistics.py
index 26009b0cbe430..1314095332a15 100644
--- a/Lib/statistics.py
+++ b/Lib/statistics.py
@@ -924,10 +924,10 @@ def correlation(x, y, /):
xbar = fsum(x) / n
ybar = fsum(y) / n
sxy = fsum((xi - xbar) * (yi - ybar) for xi, yi in zip(x, y))
- s2x = fsum((xi - xbar) ** 2.0 for xi in x)
- s2y = fsum((yi - ybar) ** 2.0 for yi in y)
+ sxx = fsum((xi - xbar) ** 2.0 for xi in x)
+ syy = fsum((yi - ybar) ** 2.0 for yi in y)
try:
- return sxy / sqrt(s2x * s2y)
+ return sxy / sqrt(sxx * syy)
except ZeroDivisionError:
raise StatisticsError('at least one of the inputs is constant')
@@ -968,9 +968,9 @@ def linear_regression(x, y, /):
xbar = fsum(x) / n
ybar = fsum(y) / n
sxy = fsum((xi - xbar) * (yi - ybar) for xi, yi in zip(x, y))
- s2x = fsum((xi - xbar) ** 2.0 for xi in x)
+ sxx = fsum((xi - xbar) ** 2.0 for xi in x)
try:
- slope = sxy / s2x # equivalent to: covariance(x, y) / variance(x)
+ slope = sxy / sxx # equivalent to: covariance(x, y) / variance(x)
except ZeroDivisionError:
raise StatisticsError('x is constant')
intercept = ybar - slope * xbar
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