https://github.com/python/cpython/commit/bb5e41efdbe227c7ad9b32a259f79404bab42d5c
commit: bb5e41efdbe227c7ad9b32a259f79404bab42d5c
branch: main
author: Raymond Hettinger <[email protected]>
committer: rhettinger <[email protected]>
date: 2026-05-01T22:58:23-05:00
summary:
gh-149244 Document statistics functions that require sequence inputs.
(gh-149264)
files:
M Doc/library/statistics.rst
diff --git a/Doc/library/statistics.rst b/Doc/library/statistics.rst
index cbb131855dc664..dba0e26787d951 100644
--- a/Doc/library/statistics.rst
+++ b/Doc/library/statistics.rst
@@ -713,7 +713,7 @@ However, for reading convenience, most of the examples show
sorted sequences.
.. function:: covariance(x, y, /)
- Return the sample covariance of two inputs *x* and *y*. Covariance
+ Return the sample covariance of two sequence inputs *x* and *y*. Covariance
is a measure of the joint variability of two inputs.
Both inputs must be of the same length (no less than two), otherwise
@@ -739,7 +739,7 @@ However, for reading convenience, most of the examples show
sorted sequences.
Return the `Pearson's correlation coefficient
<https://en.wikipedia.org/wiki/Pearson_correlation_coefficient>`_
- for two inputs. Pearson's correlation coefficient *r* takes values
+ for two sequence inputs. Pearson's correlation coefficient *r* takes values
between -1 and +1. It measures the strength and direction of a linear
relationship.
@@ -802,7 +802,7 @@ However, for reading convenience, most of the examples show
sorted sequences.
(it is equal to the difference between predicted and actual values
of the dependent variable).
- Both inputs must be of the same length (no less than two), and
+ Both inputs must be sequences of the same length (no less than two), and
the independent variable *x* cannot be constant;
otherwise a :exc:`StatisticsError` is raised.
_______________________________________________
Python-checkins mailing list -- [email protected]
To unsubscribe send an email to [email protected]
https://mail.python.org/mailman3//lists/python-checkins.python.org
Member address: [email protected]
