10000 GH-95861: Add support for Spearman's rank correlation coefficient by rhettinger · Pull Request #95863 · python/cpython · GitHub
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GH-95861: Add support for Spearman's rank correlation coefficient #95863

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Merged
merged 9 commits into from
Aug 18, 2022
Merged

GH-95861: Add support for Spearman's rank correlation coefficient #95863

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8750d9c
Add support for earson's correlation coefficient
rhettinger Aug 10, 2022
cb52524
Add doctest. Remove unused "reversed" argument. Rename "ranked" to "b…
rhettinger Aug 12, 2022
102a4c5
Add docs
rhettinger Aug 12, 2022
97bfe04
Add test
rhettinger Aug 12, 2022
bd3da1c
Remove use of underscorde in doctest.
rhettinger Aug 13, 2022
d0260bf
Update the dispatch table
rhettinger Aug 14, 2022
95a2176
Prepare _rank() to be made public in the future.
rhettinger Aug 18, 2022
222699e
Replace flag with a "method" keyword argument for future proofing.
rhettinger Aug 18, 2022
873e240
Neaten up the docstring for _rank().
rhettinger Aug 18, 2022
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Neaten up the docstring for _rank().
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@rhettinger
rhettinger committed Aug 18, 2022
commit 873e24017c8d0b714dab869490b62f7f0bb5fe88
20 changes: 10 additions & 10 deletions Lib/statistics.py
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Expand Up @@ -358,24 +358,24 @@ def _fail_neg(values, errmsg='negative value'):
def _rank(data, /, *, key=None, reverse=False, ties='average') -> list[float]:
"""Rank order a dataset. The lowest value has rank 1.

Ties are averaged so that equal values receive the same rank.
Ties are averaged so that equal values receive the same rank:

>>> data = [31, 56, 31, 25, 75, 18]
>>> _rank(data)
[3.5, 5.0, 3.5, 2.0, 6.0, 1.0]
>>> data = [31, 56, 31, 25, 75, 18]
>>> _rank(data)
[3.5, 5.0, 3.5, 2.0, 6.0, 1.0]

The operation is idempotent.
The operation is idempotent:

>>> _rank([3.5, 5.0, 3.5, 2.0, 6.0, 1.0])
[3.5, 5.0, 3.5, 2.0, 6.0, 1.0]
>>> _rank([3.5, 5.0, 3.5, 2.0, 6.0, 1.0])
[3.5, 5.0, 3.5, 2.0, 6.0, 1.0]

It is possible to rank the data in reverse order so that
the highest value has rank 1. Also, a key-function can
extract the field to be ranked:

>>> goals = [('eagles', 45), ('bears', 48), ('lions', 44)]
>>> _rank(goals, key=itemgetter(1), reverse=True)
[2.0, 1.0, 3.0]
>>> goals = [('eagles', 45), ('bears', 48), ('lions', 44)]
>>> _rank(goals, key=itemgetter(1), reverse=True)
[2.0, 1.0, 3.0]

"""
# If this function becomes public at some point, more thought
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