{ "info": { "author": "Gui Castelao, Bia Villas Boas", "author_email": "guilherme@castelao.net", "bugtrack_url": null, "classifiers": [ "Development Status :: 2 - Pre-Alpha", "Intended Audience :: Developers", "License :: OSI Approved :: BSD License", "Programming Language :: Python :: 2", "Programming Language :: Python :: 2.6", "Programming Language :: Python :: 2.7", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.3", "Programming Language :: Python :: 3.4" ], "description": "===============================\nCEOF\n===============================\n\n.. image:: https://img.shields.io/travis/castelao/CEOF.svg\n :target: https://travis-ci.org/castelao/CEOF\n\n.. image:: https://img.shields.io/pypi/v/CEOF.svg\n :target: https://pypi.python.org/pypi/CEOF\n\n\nPerform the Complex Empirical Orthogonal Functions Analysis, or if you prefer the Complex Principal Component Analysis.\n\n* Free software: BSD license\n* Documentation: https://CEOF.readthedocs.org.\n\nFeatures\n--------\n\n* TODO\n\n\n\n\nHistory\n-------\n\n0.0.3 (2014-06-11)\n---------------------\n\n* First release on PyPI.", "description_content_type": null, "docs_url": null, "download_url": "UNKNOWN", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://github.com/castelao/CEOF", "keywords": "EOF,PCA,complex empirical orthogonal function,complex principal component analysis", "license": "3-clause BSD", "maintainer": null, "maintainer_email": null, "name": "CEOF", "package_url": "https://pypi.org/project/CEOF/", "platform": "UNKNOWN", "project_url": "https://pypi.org/project/CEOF/", "project_urls": { "Download": "UNKNOWN", "Homepage": "https://github.com/castelao/CEOF" }, "release_url": "https://pypi.org/project/CEOF/0.0.3/", "requires_dist": null, "requires_python": null, "summary": "Apply the Complex Empirical Orthogonal Function Analysis", "version": "0.0.3" }, "last_serial": 1907957, "releases": { "0.0.3": [] }, "urls": [] }