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https://github.com/glevv/obscure_stats
A small collection of lesser-known statistical measures
https://github.com/glevv/obscure_stats
data-analysis data-science descriptive-statistics math numpy python robust-statistics scipy statistical-analysis statistics
Last synced: about 24 hours 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: 2025-01-28T19:54:31.000Z (2 days ago)
- Last Synced: 2025-01-29T09:41:26.613Z (1 day ago)
- Topics: data-analysis, data-science, descriptive-statistics, math, numpy, python, robust-statistics, scipy, statistical-analysis, statistics
- Language: Python
- Homepage:
- Size: 548 KB
- Stars: 37
- Watchers: 1
- Forks: 5
- Open Issues: 0
-
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
Awesome Lists containing this project
README
# obscure_stats
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| Package | [![PyPI - Python Version](https://img.shields.io/pypi/pyversions/obscure_stats?logo=Python)](https://pypi.org/project/obscure_stats/) [![PyPI](https://img.shields.io/pypi/v/obscure_stats?logo=PyPI)](https://pypi.org/project/obscure_stats/) [![Downloads](https://static.pepy.tech/badge/obscure_stats)](https://pepy.tech/project/obscure_stats) |
| Meta | [![Poetry](https://img.shields.io/endpoint?url=https://python-poetry.org/badge/v0.json)](https://python-poetry.org/) [![Ruff](https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/astral-sh/ruff/main/assets/badge/v2.json)](https://github.com/astral-sh/ruff) [![Checked with mypy](https://www.mypy-lang.org/static/mypy_badge.svg)](https://mypy-lang.org/) [![License - MIT](https://img.shields.io/badge/license-MIT-9400d3.svg)](https://spdx.org/licenses/) [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.10206933.svg)](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 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).