https://github.com/python/cpython/commit/ebc18abbf34ff248764bda1a02db7f1c783b71e3
commit: ebc18abbf34ff248764bda1a02db7f1c783b71e3
branch: main
author: Raymond Hettinger <[email protected]>
committer: hauntsaninja <[email protected]>
date: 2024-07-21T05:53:26Z
summary:
gh-121977: Add tips for handling unhashable data (#122075)
files:
M Doc/library/statistics.rst
diff --git a/Doc/library/statistics.rst b/Doc/library/statistics.rst
index f7051ae2c80eb0..614f5b905a4a2e 100644
--- a/Doc/library/statistics.rst
+++ b/Doc/library/statistics.rst
@@ -485,6 +485,12 @@ However, for reading convenience, most of the examples
show sorted sequences.
>>> mode(["red", "blue", "blue", "red", "green", "red", "red"])
'red'
+ Only hashable inputs are supported. To handle type :class:`set`,
+ consider casting to :class:`frozenset`. To handle type :class:`list`,
+ consider casting to :class:`tuple`. For mixed or nested inputs, consider
+ using this slower quadratic algorithm that only depends on equality tests:
+ ``max(data, key=data.count)``.
+
.. versionchanged:: 3.8
Now handles multimodal datasets by returning the first mode encountered.
Formerly, it raised :exc:`StatisticsError` when more than one mode was
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