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scikit-posthocs

library0.14.0pypypi✓ verified 84d ago

Statistical post-hoc analysis and outlier detection algorithms for Python. Provides pairwise multiple comparison tests (e.g., Nemenyi, Conover, Dunn, Bonferroni) and outlier detection (e.g., IQR, Grubbs). Current version: 0.12.0. Release cadence is irregular, major updates every 1-2 years.

data

pip install scikit-posthocs

github ↗package ↗docs ↗

INSTALL

IMPORT

SIG · SCIKIT-POSTHOCS

scikit-posthocs

datapythonv0.14.0

Install

18.3s avg

Import

5681ms

Disk

453MB

Pass rate

9/ 10

Env Coverage9 / 10

glibc

3.9–3.13

musl

3.9–3.13

Install & Compatibility

Where this runs

tested against v0.14.0 · pip install

no network on importno background threads

Install × environment matrix

Each cell = how many times install + import succeeded across repeated harness runs. Partial = flaky.
glibc = Debian/Ubuntu slim · musl = Alpine Linux

musl

glibc

py 3.10

✓ —

✓ 18s

py 3.11

✓ —

✓ 17s

py 3.12

✓ —

✓ 17.4s

py 3.13

✓ —

✓ 18.5s

py 3.9

✕ build_error

✓ 20.7s

453MB installed

● package 453MB

Code

Verified usage

Verified import paths — ran on the pinned version, not inferred.

posthoc_nemenyi_friedman

✓ from scikit_posthocs import posthoc_nemenyi_friedman

✗ from scikit_posthocs.posthocs import posthoc_nemenyi_friedman

The submodule posthocs does not exist; all functions are in top-level.

Perform Nemenyi post-hoc test after Friedman test. Input data: rows = subjects, columns = treatments. Output: pairwise p-value matrix.

import numpy as np from scikit_posthocs import posthoc_nemenyi_friedman data = np.array([ [1,2,3], [2,3,4], [3,4,5], [4,5,6] ]) result = posthoc_nemenyi_friedman(data) print(result)

Debug

Known issues

breakingIn v0.8.0+, the function signature changed: argument names switched from 'a' to 'data' and 'group' to 'group_col' (where applicable). Old code using positional arguments may break.

fix

Update to use named arguments: posthoc_nemenyi_friedman(data, group_col='groups')

affects: <0.8.0

breakingThe function 'outliers_iqr' was removed in v0.10.0. Use 'outlier_test' instead or handle IQR manually.

fix

Replace outliers_iqr(data) with outlier_test(data, method='iqr')

affects: <0.10.0

deprecatedThe 'sign_array' function is deprecated since v0.11.0. Use 'sign_plot' instead for visualization.

fix

Replace sign_array(...) with sign_plot(...) (same arguments).

affects: 0.11.0 - 0.12.0

gotchaInput data must be a 2D array-like (n_subjects x n_treatments). If you pass a 1D array or accidentally transpose, results will be wrong without error.

fix

Always verify data shape: data.shape should be (subjects, treatments).

affects: all

Errors

Common errors & fixes

ImportError: cannot import name 'posthoc_nemenyi_friedman' from 'scikit_posthocs'

Misspelled package name or wrong import path. The package is 'scikit-posthocs' on PyPI but the module is 'scikit_posthocs' (underscore, not hyphen).

fix

Install with pip install scikit-posthocs and import from scikit_posthocs (underscore).

ValueError: The number of groups must be > 2

Post-hoc tests require at least 3 groups (treatments). You passed data with only 2 columns.

fix

Ensure your data array has at least 3 columns (e.g., data.shape[1] >= 3).

TypeError: posthoc_nemenyi_friedman() missing 1 required positional argument: 'data'

In old code (pre-v0.8.0), the first argument was 'a'. Now it's 'data'.

fix

Use posthoc_nemenyi_friedman(data=your_data) or just your_data as first argument if using version >=0.8.0.

Upgrade

Version history

0.14.0latest on PyPI · released May 26, 2026

Audit

Dependencies

numpyrequiredcore math operations

pandasrequireddata table manipulation

scipyrequiredstatistical functions (e.g., stats.chi2, rankdata)

statsmodelsoptionalsome post-hoc tests rely on statsmodels functionality

matplotliboptionalplotting critical difference diagrams

Agent activity

3 hits · last 30 days

node

OpenAI (training)

Resources

githubhttps://github.com/maximtrp/scikit-posthocs ↗

packagehttps://pypi.org/project/scikit-posthocs/ ↗

docshttps://scikit-posthocs.rtfd.io ↗