{ "info": { "author": "Peter Mugenyi", "author_email": "petermugenyi@gmail.com", "bugtrack_url": null, "classifiers": [ "License :: OSI Approved :: MIT License", "Operating System :: OS Independent", "Programming Language :: Python :: 3" ], "description": "**PyWrangler:**\n\nA python package containing some easy-to-use functions for cleaning data. \nThe package contains functions that allow you explore your data easily to:\n\n- Find missing/null values visually\n- Remove missing values\n- Find categorcial variables in your datatset\n- Remove highly correlated values.\n- Plot bar graphs and automatically add the percentages of variables.\n- Plot twin axis bar graphs\n- Adjust size of bars in bar graphs\n- Machine Learning for classification problems.", "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/pmugenyi/PyWrangler-0.0.2", "keywords": "", "license": "", "maintainer": "", "maintainer_email": "", "name": "PyWrangler", "package_url": "https://pypi.org/project/PyWrangler/", "platform": "", "project_url": "https://pypi.org/project/PyWrangler/", "project_urls": { "Homepage": "https://github.com/pmugenyi/PyWrangler-0.0.2" }, "release_url": "https://pypi.org/project/PyWrangler/0.0.2/", "requires_dist": null, "requires_python": "", "summary": "A python package containing some easy-to-use tools for data cleaning / Exploration and ML.", "version": "0.0.2" }, "last_serial": 5221330, "releases": { "0.0.2": [ { "comment_text": "", "digests": { "md5": "00f53843972584aceab7c758b762c107", "sha256": "aa7ed7a5002e8007d95427d6a3dca91fde3c21fb521478e9900030c07f12f6a6" }, "downloads": -1, "filename": "PyWrangler-0.0.2.tar.gz", "has_sig": false, "md5_digest": "00f53843972584aceab7c758b762c107", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 1263, "upload_time": "2019-05-03T10:42:44", "url": "https://files.pythonhosted.org/packages/c8/35/41e4de880fe2052148421dff15e58cb2bc1619d53669e2c93529d155f262/PyWrangler-0.0.2.tar.gz" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "00f53843972584aceab7c758b762c107", "sha256": "aa7ed7a5002e8007d95427d6a3dca91fde3c21fb521478e9900030c07f12f6a6" }, "downloads": -1, "filename": "PyWrangler-0.0.2.tar.gz", "has_sig": false, "md5_digest": "00f53843972584aceab7c758b762c107", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 1263, "upload_time": "2019-05-03T10:42:44", "url": "https://files.pythonhosted.org/packages/c8/35/41e4de880fe2052148421dff15e58cb2bc1619d53669e2c93529d155f262/PyWrangler-0.0.2.tar.gz" } ] }