https://github.com/glevv/obscure_stats
A small collection of lesser-known statistical measures
https://github.com/glevv/obscure_stats
data-analysis data-analytics data-science descriptive-statistics math mathematical-functions mathematical-statistics numpy python robust-statistics scipy statistical-analysis statistics
Last synced: 21 days ago
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A small collection of lesser-known statistical measures
- Host: GitHub
- URL: https://github.com/glevv/obscure_stats
- Owner: glevv
- License: mit
- Created: 2023-10-21T10:53:23.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-03-30T14:08:50.000Z (about 1 month ago)
- Last Synced: 2025-03-30T15:22:20.164Z (about 1 month ago)
- Topics: data-analysis, data-analytics, data-science, descriptive-statistics, math, mathematical-functions, mathematical-statistics, numpy, python, robust-statistics, scipy, statistical-analysis, statistics
- Language: Python
- Homepage:
- Size: 586 KB
- Stars: 39
- Watchers: 1
- Forks: 5
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE.txt
- Code of conduct: CODE_OF_CONDUCT.md
- Citation: CITATION.cff
- Codeowners: .github/CODEOWNERS
- Security: SECURITY.md
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README
# obscure_stats
| | |
| --- | --- |
| CI/CD | [](https://github.com/glevv/obscure_stats/actions/workflows/package.yml) [](https://github.com/glevv/obscure_stats/actions/workflows/publish.yml) [](https://codecov.io/gh/glevv/obscure_stats) |
| Security | [](https://github.com/glevv/obscure_stats/actions/workflows/codeql.yml) [](https://github.com/dependabot/dependabot-core) [](https://securityscorecards.dev/viewer/?uri=github.com/glevv/obscure_stats) |
| Package | [](https://pypi.org/project/obscure_stats/) [](https://pypi.org/project/obscure_stats/) [](https://pepy.tech/project/obscure_stats) |
| Meta | [](https://python-poetry.org/) [](https://github.com/astral-sh/ruff) [](https://mypy-lang.org/) [](https://spdx.org/licenses/) [](https://doi.org/10.5281/zenodo.10206933)
## Highlights:
`obscure_stats` is a small Python package that includes a lot of useful but lesser-known statistical functions and builds on top of `numpy` and `scipy`.
## Current API list
- Collection of measures of central tendency - `obscure_stats/central_tendency`:
* Contraharmonic Mean;
* Gastwirth's Location;
* Grenander's Mode;
* Half-Sample Mode;
* Hodges-Lehmann-Sen Location;
* Midhinge;
* Midmean;
* Midrange;
* Standard Trimmed Harrell-Davis Quantile;
* Tau Measure of Location;
* Trimean.
- Collection of measures of dispersion - `obscure_stats/dispersion`:
* Coefficient of Range;
* Coefficient of Variation;
* Cole's Index of Dispersion;
* Dispersion Ratio;
* Fisher's Index of Dispersion;
* Gini Mean Difference;
* Linear Coefficient of Variation;
* Inter-expectile Range;
* Morisita Index of Dispersion;
* Quartile Coefficient of Dispersion;
* Robust Coefficient of Variation;
* Shamos Estimator;
* Standard Quantile Absolute Deviation;
* Studentized Range.
- Collection of measures of skewness - `obscure_stats/skewness`:
* Area Under the Skewness Curve (weighted and unweighted);
* Bickel Mode Skewness Coefficient;
* Bowley Skewness Coefficient;
* Cumulative Skewness Coefficient;
* Forhad-Shorna Rank Skewness Coefficient;
* Groeneveld Range Skewness Coefficient;
* Groeneveld Skewness Coefficient;
* Hossain-Adnan Skewness Coefficient;
* Kelly Skewness Coefficient;
* L-Skewness Coefficient;
* Left Quantile Weight;
* Medeen Skewness Coefficient;
* Pearson Median Skewness Coefficient;
* Pearson Mode Skewness Coefficient;
* Right Quantile Weight;
- Collection of measures of kurtosis - `obscure_stats/kurtosis`:
* Crow-Siddiqui Kurtosis;
* L-Kurtosis;
* Hogg Kurtosis;
* Moors Kurtosis;
* Moors Octile Kurtosis;
* Reza-Ma Kurtosis;
* Schmid-Trede measure of Peakedness;
* Staudte Kurtosis.
- Collection of measures of association - `obscure_stats/association`:
* Blomqvist's Beta;
* Chatterjee Xi Correlation Coefficient (original and symmetric versions);
* Concordance Correlation Coefficient;
* Concordance Rate;
* Fechner Correlation Coefficient;
* Gaussian Rank Correlation Coefficient;
* Quantile Correlation Coefficient;
* Rank Minrelation Coefficient;
* Tanimoto Similarity;
* Tukey's Correlation Coefficient;
* Winsorized Correlation Coefficient;
* Zhang I Correlation Coefficient.
- Collection of measures of qualitative variation - `obscure_stats/variation`:
* AVDev;
* B Index;
* Gibbs M1;
* Gibbs M2;
* McIntosh's D;
* ModVR;
* Negative Extropy;
* RanVR;
* Rényi entropy.
## Installation
```bash
>>> pip install obscure_stats
```
## Usage Example
```python
>>> from obscure_stats.central_tendency import standard_trimmed_harrell_davis_quantile
>>> from obscure_stats.dispersion import standard_quantile_absolute_deviation
>>> data = [1.83, 1.01, 100.12, 1.20, 0.99, 0.87, 1.13, 100.01, 0.75, 1.03]
>>> central_tendency = standard_trimmed_harrell_davis_quantile(data)
>>> dispersion = standard_quantile_absolute_deviation(data)
>>> print(f"Robust measure of central tendency = {central_tendency:.2f}±{dispersion:.2f}")
```
```
Out[1]:
Robust measure of central tendency = 1.09±0.42
```
## Code of Conduct
Code of Conduct for this project can be found [here](CODE_OF_CONDUCT.md).
## Contributing
Contribution guidelines for this project can be found [here](CONTRIBUTING.md).
## Security Policy
Security Policy for this project can be found [here](SECURITY.md).
## License
The content of this repository is licensed under a [MIT license](https://github.com/glevv/obscure_stats/blob/main/LICENSE.txt).
This repository bundles several libraries that are compatibly licensed. A full list can be found [here](https://github.com/glevv/obscure_stats/blob/main/LICENSES_bundled.txt).