{ "info": { "author": "\"Th\u00e9o Delecour\"", "author_email": "\"theo.delecour@gmail.com\"", "bugtrack_url": null, "classifiers": [ "License :: OSI Approved :: MIT License", "Programming Language :: Python :: 3.6", "Programming Language :: Python :: 3.7" ], "description": "# corregraphe\n\nCorrelation graphs are a great way to visualize and understand the relationship between features of tabular datasets.\n\nThis package leverages NetworkX, Scipy and HoloViews to easily draw correlation graphs on any Pandas DataFrame.\n\nWorks on numerical columns only for now.\n\n## Installation\n\nThis project uses Python >= 3.6.\n\n```\npip install corregraphe\n```\n\n## Usage\n\nExample on the Titanic dataset:\n\n```python\nimport pandas as pd\nfrom corregraphe import CorrelationGraph\ndf = pd.read_csv(\"https://raw.githubusercontent.com/mwaskom/seaborn-data/master/titanic.csv\")\ncg = CorrelationGraph(df)\ncg.draw()\n```\n\nDrawing gives this Bokeh figure:\n\n\n\n## Developer's guide\n\n- checked with `mypy` and `flake8`\n- formatted with `black` and `isort`\n- basic functionality is tested with `doctest` by running `python corregraphe/core.py`\n\n## License\n\nThis project is licensed under the MIT License.\n\nMIT License\n\nCopyright (c) 2019 Th\u00e9o Delecour\n\nPermission is hereby granted, free of charge, to any person obtaining a copy\nof this software and associated documentation files (the \"Software\"), to deal\nin the Software without restriction, including without limitation the rights\nto use, copy, modify, merge, publish, distribute, sublicense, and/or sell\ncopies of the Software, and to permit persons to whom the Software is\nfurnished to do so, subject to the following conditions:\n\nThe above copyright notice and this permission notice shall be included in all\ncopies or substantial portions of the Software.\n\nTHE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\nIMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\nFITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\nAUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\nLIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\nOUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE\nSOFTWARE.\n\n\n", "description_content_type": "text/markdown", "docs_url": null, "download_url": "", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://github.com/theodcr/corregraphe", "keywords": "", "license": "MIT", "maintainer": "", "maintainer_email": "", "name": "corregraphe", "package_url": "https://pypi.org/project/corregraphe/", "platform": "", "project_url": "https://pypi.org/project/corregraphe/", "project_urls": { "Homepage": "https://github.com/theodcr/corregraphe" }, "release_url": "https://pypi.org/project/corregraphe/0.1.1/", "requires_dist": [ "hvplot", "networkx", "pandas", "scipy", "black ; extra == 'dev'", "flake8 ; extra == 'dev'", "isort ; extra == 'dev'", "mypy ; extra == 'dev'" ], "requires_python": ">= 3.6", "summary": "Correlation graphs with NetworkX", "version": "0.1.1" }, "last_serial": 5831080, "releases": { "0.1": [ { "comment_text": "", "digests": { "md5": "2a6660dd3b0b205e707483534716bb28", "sha256": "7383a219e8142964159e098052289861dc7b6904dceb3a586ed1de7fdca57514" }, "downloads": -1, "filename": "corregraphe-0.1-py3-none-any.whl", "has_sig": false, "md5_digest": "2a6660dd3b0b205e707483534716bb28", "packagetype": "bdist_wheel", "python_version": "py3", "requires_python": ">= 3.6", "size": 4744, "upload_time": "2019-07-29T18:23:58", "url": "https://files.pythonhosted.org/packages/46/99/b7ccf7a8a3542594fdfb5916f370ff132f3160b0b7cf183d4f55e03a5166/corregraphe-0.1-py3-none-any.whl" } ], "0.1.1": [ { "comment_text": "", "digests": { "md5": "556dc760b8c24a49716c63c7b1159ffa", "sha256": "0738c0e7a0b29529e76477d0159ece0dfb72e1509bab31db9262589ea77cc6b6" }, "downloads": -1, "filename": "corregraphe-0.1.1-py3-none-any.whl", "has_sig": false, "md5_digest": "556dc760b8c24a49716c63c7b1159ffa", "packagetype": "bdist_wheel", "python_version": "py3", "requires_python": ">= 3.6", "size": 4854, "upload_time": "2019-09-15T08:11:37", "url": "https://files.pythonhosted.org/packages/b4/39/a4ecd3175e2f55a11b16b2dd7f54fa95bd2678e65d95861bd2926c7f0412/corregraphe-0.1.1-py3-none-any.whl" }, { "comment_text": "", "digests": { "md5": "79fc111b8692b5d9e5e4cb87c84ba77a", "sha256": "f35da9ef00b98e6ee1f1d4fbe6c54faf31db5de9e71b3a6af504857cfd5f2f36" }, "downloads": -1, "filename": "corregraphe-0.1.1.tar.gz", "has_sig": false, "md5_digest": "79fc111b8692b5d9e5e4cb87c84ba77a", "packagetype": "sdist", "python_version": "source", "requires_python": ">= 3.6", "size": 4022, "upload_time": "2019-09-15T08:11:39", "url": "https://files.pythonhosted.org/packages/47/7e/56dc6334a325a0fdb2dc94584cc4553e46e40d8c6de3e8e4ec5d5cb4dc16/corregraphe-0.1.1.tar.gz" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "556dc760b8c24a49716c63c7b1159ffa", "sha256": "0738c0e7a0b29529e76477d0159ece0dfb72e1509bab31db9262589ea77cc6b6" }, "downloads": -1, "filename": "corregraphe-0.1.1-py3-none-any.whl", "has_sig": false, "md5_digest": "556dc760b8c24a49716c63c7b1159ffa", "packagetype": "bdist_wheel", "python_version": "py3", "requires_python": ">= 3.6", "size": 4854, "upload_time": "2019-09-15T08:11:37", "url": "https://files.pythonhosted.org/packages/b4/39/a4ecd3175e2f55a11b16b2dd7f54fa95bd2678e65d95861bd2926c7f0412/corregraphe-0.1.1-py3-none-any.whl" }, { "comment_text": "", "digests": { "md5": "79fc111b8692b5d9e5e4cb87c84ba77a", "sha256": "f35da9ef00b98e6ee1f1d4fbe6c54faf31db5de9e71b3a6af504857cfd5f2f36" }, "downloads": -1, "filename": "corregraphe-0.1.1.tar.gz", "has_sig": false, "md5_digest": "79fc111b8692b5d9e5e4cb87c84ba77a", "packagetype": "sdist", "python_version": "source", "requires_python": ">= 3.6", "size": 4022, "upload_time": "2019-09-15T08:11:39", "url": "https://files.pythonhosted.org/packages/47/7e/56dc6334a325a0fdb2dc94584cc4553e46e40d8c6de3e8e4ec5d5cb4dc16/corregraphe-0.1.1.tar.gz" } ] }