Skip to main content

Procrustes Python Library

This project supports Python 3.9+ GPLv3 License CI Tox docs CI CodeCov Binder

The Procrustes library provides a set of functions for transforming a matrix to make it as similar as possible to a target matrix. For more information, visit Procrustes Documentation.

Citation

Please use the following citation in any publication using Procrustes library:

@article{Meng2022procrustes,
    title = {Procrustes: A python library to find transformations that maximize the similarity between matrices},
    author = {Fanwang Meng and Michael Richer and Alireza Tehrani and Jonathan La and Taewon David Kim and Paul W. Ayers and Farnaz Heidar-Zadeh},
    journal = {Computer Physics Communications},
    volume = {276},
    number = {108334},
    pages = {1--37},
    year = {2022},
    issn = {0010-4655},
    doi = {https://doi.org/10.1016/j.cpc.2022.108334},
    url = {https://www.sciencedirect.com/science/article/pii/S0010465522000522},
    keywords = {Procrustes analysis, Orthogonal, Symmetric, Rotational, Permutation, Softassign},
}

Dependencies

The following dependencies are required to run Procrustes properly,

To test Procrustes, the following dependencies are required,

Installation

It is recommended to install qc-procrustes within a virtual environment.To create a virtual environment, we can use the venv module (Python 3.3+, https://docs.python.org/3/tutorial/venv.html), miniconda (https://conda.io/projects/conda/en/latest/user-guide/tasks/manage-environments.html), or pipenv (https://pipenv.pypa.io/en/latest/).

Installing from PyPI

To install procrustes with pip, we can install the latest stable release from the Python Package Index (PyPI) as follows:

    # install the stable release.
    pip install qc-procrustes

Installing from The Prebuild Wheel Files

To download the prebuilt wheel files, visit the PyPI page and GitHub releases.

    # download the wheel file first to your local machine
    # then install the wheel file
    pip install file_path/qc_procrustes-1.0.2a1-py3-none-any.whl

Installing from the Source Code

In addition, we can install the latest development version from the GitHub repository as follows:

    # install the latest development version
    pip install git+https://github.com/theochem/procrustes.git

We can also clone the repository to access the latest development version, test it and install it as follows:

    # clone the repository
    git clone git@github.com:theochem/procrustes.git

    # change into the working directory
    cd procrustes
    # run the tests
    python -m pytest .

    # install the package
    pip install .

More

See https://procrustes.qcdevs.org for full details.

Metadata

Release files for qc-procrustes 1.0.3

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for qc-procrustes 1.0.3
File Size Uploaded
qc_procrustes-1.0.3.tar.gz 1.6 MB Details

Built distribution (wheel)

Table of built distributions (wheels) for qc-procrustes 1.0.3
File Interpreter ABI Platform
qc_procrustes-1.0.3-py3-none-any.whl Python 3 none any Details

Total release size: 3.2 MB

Release files / qc_procrustes-1.0.3.tar.gz

Download URL qc_procrustes-1.0.3.tar.gz
Size 1.6 MB
Tags Source
SHA-256 checksum
How to use checksums
7f74f983c9e403f67e7b02c5b749c2a79cb23077b8e80740439d459f8eaa3427
BLAKE2b-256 checksum
How to use checksums
216d993a4bfe3998d166717019901ee2b1e445645e7de77788ad1b02ac2085a6
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/5.1.1 CPython/3.12.6

Release files / qc_procrustes-1.0.3-py3-none-any.whl

Download URL qc_procrustes-1.0.3-py3-none-any.whl
Size 1.6 MB
Tags Python 3
SHA-256 checksum
How to use checksums
767508350cadf011b9570cfce2c0a740a8907158800539d23a0a13f8f2c2f3a1
BLAKE2b-256 checksum
How to use checksums
b6f3f384918eba100b825675bc76ee3f619e54524b63b82a057c90b04c8759f5
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/5.1.1 CPython/3.12.6
Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page