Metadata-Version: 2.4
Name: multimodality
Version: 0.0.1a1
Summary: Mutlimodality stuff
Author-email: Pantelis Sopasakis <xzu.trustful191@passinbox.com>
License: MIT
Keywords: scientific-computing,mathematics
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Mathematics
Requires-Python: >=3.11
Description-Content-Type: text/markdown
Requires-Dist: numpy
Requires-Dist: scipy
Requires-Dist: matplotlib
Provides-Extra: dev
Requires-Dist: pytest>=8; extra == "dev"

# Mutlimodality

This Python package estimates whether an empirical two-dimensional distribution 
is unimodal. It computes a unimodality index. Here is an examlpe of use:

```python
results = mm.multimodality_analysis(x, y)
ua = mm.unimodality_analysis(results)
print(ua["unimodality_index"])
```
