10000 gh-115532: Add kernel density estimation to the statistics module by rhettinger · Pull Request #115863 · python/cpython · GitHub
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gh-115532: Add kernel density estimation to the statistics module #115863

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Merged
merged 19 commits into from
Feb 25, 2024
Merged

gh-115532: Add kernel density estimation to the statistics module #115863

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2a5841d
Add docs and code for kde()
rhettinger Feb 23, 2024
940795f
Alphabetize the function order
rhettinger Feb 23, 2024
482c9c1
Add blurb
rhettinger Feb 23, 2024
e9386ed
Add PDF area test
rhettinger Feb 23, 2024
c3ddb1e
Add tests
rhettinger Feb 23, 2024
a2771cb
Early test for non-numeric data. Tests for name and docstring
rhettinger Feb 23, 2024
e29d64f
Use StatisticsError for invalid kernels
rhettinger Feb 23, 2024
5d8bab0
.
rhettinger Feb 23, 2024
9e6aaa7
Add kde() to __all__
rhettinger Feb 23, 2024
c8b19d8
Add test for non-sequence input
rhettinger Feb 23, 2024
d571452
Fix markup for external link
rhettinger Feb 23, 2024
ddc32b8
Remove outdated KDE recipe
rhettinger Feb 23, 2024
5ac1055
Improve variable names in integration using the midpoint rule.
rhettinger Feb 24, 2024
24e38e2
Improve appearance of generated docstring
rhettinger Feb 24, 2024
e729127
Put the kernel names in italics
rhettinger Feb 24, 2024
e6d6e0f
Add a whatsnew entry
rhettinger Feb 24, 2024
b3fd269
Add test for support interval boundary conditions
rhettinger Feb 25, 2024
9dec308
Sync the docstring with the main docs.
rhettinger Feb 25, 2024
771a232
Fix missing angle bracket markup
rhettinger Feb 25, 2024
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Improve variable names in integration using the midpoint rule.
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@rhettinger
rhettinger committed Feb 24, 2024
commit 5ac105514b216517b557bc11b7c91b85b91df26e
6 changes: 3 additions & 3 deletions Lib/test/test_statistics.py
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Expand Up @@ -2369,9 +2369,9 @@ def test_kde(self):

def integrate(func, low, high, steps=10_000):
"Numeric approximation of a definite function integral."
width = (high - low) / steps
xarr = (low + width/2 + width * i for i in range(steps))
return sum(map(func, xarr)) * width
dx = (high - low) / steps
midpoints = (low + (i + 1/2) * dx for i in range(steps))
return sum(map(func, midpoints)) * dx

for kernel in kernels:
with self.subTest(kernel=kernel):
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