Mutlimodality

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

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

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Release files for multimodality 0.0.1a1

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Source distribution for multimodality 0.0.1a1
File	Size	Uploaded
multimodality-0.0.1a1.tar.gz	4.9 kB	Apr 1, 2026	Details

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Table of built distributions (wheels) for multimodality 0.0.1a1
File	Interpreter	ABI	Platform	Reset
multimodality-0.0.1a1-py3-none-any.whl 4.9 kB Apr 1, 2026	Python 3	none	any	Details

Total release size: 9.8 kB

Release files / multimodality-0.0.1a1.tar.gz

Download URL	multimodality-0.0.1a1.tar.gz
Size	4.9 kB
Tags	Source
SHA-256 checksum How to use checksums	`bc4289efe2061811fd2e34358afbe3475072c25706ba800454c75b6584117b98`
BLAKE2b-256 checksum How to use checksums	`f4baf55e5a36262151622f99bc4d772ba50e06e1124599be59551d0edd05a97c`
Upload date	Apr 1, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/6.2.0 CPython/3.13.2`

Release files / multimodality-0.0.1a1-py3-none-any.whl

Download URL	multimodality-0.0.1a1-py3-none-any.whl
Size	4.9 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`c3036cbb904036e9927edfa83e143856e1bdc3160a1abf3c94a2a8a6446dd4f1`
BLAKE2b-256 checksum How to use checksums	`18859a216c30f84c67465d905a0deea1cacfa6b7179ca3a241daed8fd828bfbd`
Upload date	Apr 1, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/6.2.0 CPython/3.13.2`

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0.0.1a1 This release

Apr 1, 2026 2 release files

multimodality 0.0.1a1

Mutlimodality

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