recorpy
A python's package for reordering/clustering correlation matrices
Science Score: 54.0%
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Low similarity (15.1%) to scientific vocabulary
Repository
A python's package for reordering/clustering correlation matrices
Basic Info
- Host: GitHub
- Owner: thebooort
- License: gpl-3.0
- Language: Python
- Default Branch: main
- Size: 85.9 KB
Statistics
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 3
Metadata Files
README.md
ReCorPy
A python's package for reordering/clustering correlation matrices
recorpy reorder correlation matrixes to get better visual analysis. All it is made with the original dataframe. And the result
is a new dataframe with columns reordered, to let you re-use it wherever you want.
Input parameters:
- method -
- model - , default:
- cluster - , default:
Installation
sh
pip install recorpy
Usage
python
>>> df = pd.DataFrame(np.random.rand(3,3))
>>> ReorderCorr(df)
Development setup
sh
$ python3 -m venv env
$ . env/bin/activate
$ make deps
$ tox
Contributing
Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.
Make sure to add or update tests as appropriate.
Use Black for code formatting and Conventional Commits for commit messages.
Changelog
License
Owner
- Name: Bartolomé Ortiz
- Login: thebooort
- Kind: user
- Location: Granada
- Company: Universidad de Granada
- Website: https://thebooort.github.io
- Twitter: bortizmath
- Repositories: 6
- Profile: https://github.com/thebooort
Applied mathematician (Universidad de Granada). PhD student in Artificial Intelligence
Citation (CITATION.cff)
cff-version: 1.2.0
title: >-
ReCorPy: a tool for reordering correlation
matrices.
message: If you use this package please cite it!
type: software
authors:
- given-names: Bartolome Ortiz-Viso
name-particle: Bart
family-names: Ortiz-Viso
name-suffix: .
email: bortiz@ugr.es
affiliation: University of Granada
orcid: 'https://orcid.org/0000-0003-2181-0734'
GitHub Events
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Last Year
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Last synced: 7 months ago
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- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
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- Average comments per issue: 0
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- Bot issues: 0
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