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authorMiss Islington (bot) <31488909+miss-islington@users.noreply.github.com>2021-05-04 18:55:33 (GMT)
committerGitHub <noreply@github.com>2021-05-04 18:55:33 (GMT)
commitaf14e1df373c0a619c8ed3b02ebe44c1a90fd468 (patch)
treeb04c17b4e18665129d234b16dd7be47a6a7a7a68
parent62a983d866af69973c4a31ed8f11dc5e97171a4c (diff)
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Fix inconsistent fsum vs sum and fmean vs mean (GH-25898) (GH-25899)
-rw-r--r--Lib/statistics.py6
1 files changed, 3 insertions, 3 deletions
diff --git a/Lib/statistics.py b/Lib/statistics.py
index 673a162..edb11c8 100644
--- a/Lib/statistics.py
+++ b/Lib/statistics.py
@@ -882,8 +882,8 @@ def covariance(x, y, /):
raise StatisticsError('covariance requires that both inputs have same number of data points')
if n < 2:
raise StatisticsError('covariance requires at least two data points')
- xbar = mean(x)
- ybar = mean(y)
+ xbar = fmean(x)
+ ybar = fmean(y)
total = fsum((xi - xbar) * (yi - ybar) for xi, yi in zip(x, y))
return total / (n - 1)
@@ -956,7 +956,7 @@ def linear_regression(regressor, dependent_variable, /):
slope = covariance(regressor, dependent_variable) / variance(regressor)
except ZeroDivisionError:
raise StatisticsError('regressor is constant')
- intercept = mean(dependent_variable) - slope * mean(regressor)
+ intercept = fmean(dependent_variable) - slope * fmean(regressor)
return LinearRegression(intercept=intercept, slope=slope)