{ "info": { "author": "Stefan Wehrmeyer", "author_email": "mail@stefanwehrmeyer.com", "bugtrack_url": null, "classifiers": [ "Development Status :: 4 - Beta", "Intended Audience :: Science/Research", "License :: OSI Approved :: MIT License", "Natural Language :: English", "Operating System :: OS Independent", "Programming Language :: Python :: 2.7", "Programming Language :: Python :: 3.5", "Topic :: Scientific/Engineering" ], "description": "# pandas-diligent\n\n`diligent` is a data proofing tool for pandas dataframes, best used in Jupyter notebooks.\n\n\nRun `diligent` on your dataframes.\n\n from diligent import diligent\n\n diligent(df)\n\nRun only certain kinds of checks.\n\n diligent(df, include='basic')\n\nRun in verbose mode:\n\n diligent(df, verbose=True)\n\nRegister your own checks.\n\n from diligent import registry\n\n @registry.register(name='My custom check', tags='custom')\n def custom_check(series):\n yield 'Warning 1'\n yield 'Warning 2'", "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/stefanw/pandas-diligent", "keywords": null, "license": "MIT", "maintainer": null, "maintainer_email": null, "name": "pandas-diligent", "package_url": "https://pypi.org/project/pandas-diligent/", "platform": "UNKNOWN", "project_url": "https://pypi.org/project/pandas-diligent/", "project_urls": { "Download": "UNKNOWN", "Homepage": "https://github.com/stefanw/pandas-diligent" }, "release_url": "https://pypi.org/project/pandas-diligent/0.0.1/", "requires_dist": null, "requires_python": null, "summary": "UNKNOWN", "version": "0.0.1" }, "last_serial": 2078199, "releases": { "0.0.1": [] }, "urls": [] }