{ "info": { "author": "Henry Hammond", "author_email": "henryhhammond92@gmail.com", "bugtrack_url": null, "classifiers": [ "Development Status :: 3 - Alpha", "Intended Audience :: Science/Research", "License :: OSI Approved :: MIT License", "Programming Language :: Python :: 2", "Programming Language :: Python :: 2.7", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.2", "Programming Language :: Python :: 3.3", "Programming Language :: Python :: 3.4", "Programming Language :: Python :: 3.5", "Topic :: Scientific/Engineering" ], "description": "PrettyPandas\n============\n\nPrettyPandas is an extension to the Pandas DataFrame class that helps you\ncreate report qualitiy tables with a simple API.\n\nFeatures\n--------\n\n- Add summary rows and columns.\n- Number formatting for currency, scientific units, and percentages.\n- Chaining commands in a Fluent API.\n- Works seamlessly with `Pandas Style API`_.\n\n.. note::\n\n Version 0.0.4 removes the ``apply_pretty_globals`` function and other custom\n CSS properties because Pandas and Jupyter now defaults to providing great\n looking html tables. If you still want custom CSS you can use the `Pandas\n Style API`_.\n\n.. _Pandas Style API: http://pandas.pydata.org/pandas-docs/stable/style.html>\n\nInstallation\n------------\n\nYou can install PrettyPandas using ``pip`` with support for Python 2.7, 3.3,\n3.4, and 3.5:\n\n.. code-block:: sh\n\n pip install prettypandas\n\n\nYou can also install from source:\n\n.. code-block:: sh\n\n git clone git@github.com:HHammond/PrettyPandas.git\n cd PrettyPandas\n python setup.py install\n\n\nContributing\n------------\n\nThe project is available on `GitHub`_ and anyone is welcome to contribute. You\ncan use the `issue tracker`_ to report issues, bugs, or suggest improvements.\n\n.. _GitHub: https://github.com/HHammond/PrettyPandas/\n.. _issue tracker: https://github.com/HHammond/PrettyPandas/issues\n\n\nDocumentation\n-------------\n\nSee the `GitHub page `_ for\ndocumentation.\n\n\nLicense\n-------\n\nThe MIT License (MIT)\n\nCopyright (c) 2016 Henry Hammond\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.", "description_content_type": "", "docs_url": null, "download_url": "", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://github.com/HHammond/PrettyPandas", "keywords": "pandas pretty display tables reporting", "license": "MIT", "maintainer": "", "maintainer_email": "", "name": "prettypandas", "package_url": "https://pypi.org/project/prettypandas/", "platform": "", "project_url": "https://pypi.org/project/prettypandas/", "project_urls": { "Homepage": "https://github.com/HHammond/PrettyPandas" }, "release_url": "https://pypi.org/project/prettypandas/0.0.4/", "requires_dist": null, "requires_python": "", "summary": "Pandas Styler for Report Quality Tables.", "version": "0.0.4" }, "last_serial": 3702517, "releases": { "0.0.1.post1": [ { "comment_text": "", "digests": { "md5": "41394bf0f385fdebb59aa10abf7af5ee", "sha256": "5adcfd1f97a9fcbae2722d47a4810f2e78790d88a04a2236a11ab47c61430049" }, "downloads": -1, "filename": "prettypandas-0.0.1.post1.tar.gz", "has_sig": false, "md5_digest": "41394bf0f385fdebb59aa10abf7af5ee", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 6329, "upload_time": "2016-01-17T19:33:57", "url": "https://files.pythonhosted.org/packages/0b/d8/81badd1bd3b4720649e698f966488a229834408349535b9f995def725d5b/prettypandas-0.0.1.post1.tar.gz" } ], "0.0.2": [ { "comment_text": "", "digests": { "md5": "9f1fc0738d1943d529fe5035cdd9d3f5", "sha256": "971aa934ae42ca168c5f86887fa3da52c8ae7d2ef40a8533f95a6337064150bb" }, "downloads": -1, "filename": "prettypandas-0.0.2.tar.gz", "has_sig": false, "md5_digest": "9f1fc0738d1943d529fe5035cdd9d3f5", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 7480, "upload_time": "2016-01-21T20:06:31", "url": "https://files.pythonhosted.org/packages/cc/5a/45dd28cf4b86bb521f89d1b770ba7a349d9cbed878a4a016f59656654b54/prettypandas-0.0.2.tar.gz" } ], "0.0.3": [ { "comment_text": "", "digests": { "md5": "31ecf1c1472ce2632360f82f8543afc0", "sha256": "21fd1df2b2ac86e1dc9a86388909667ddfa471741c0b26b3189eec3a6a5dc9bc" }, "downloads": -1, "filename": "prettypandas-0.0.3.tar.gz", "has_sig": false, "md5_digest": "31ecf1c1472ce2632360f82f8543afc0", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 7518, "upload_time": "2016-06-24T02:44:11", "url": "https://files.pythonhosted.org/packages/af/44/4dc3e212c2fc98dfb4e077d9b5104a932986b78211b74f2d0f5e70aea6f2/prettypandas-0.0.3.tar.gz" } ], "0.0.4": [ { "comment_text": "", "digests": { "md5": "2afb86d6811a81febf6b9d54bc4eb003", "sha256": "4bcef689fa59fa96f307b4a2163aaf733872cd3e91a68e61597e68ace74c4e08" }, "downloads": -1, "filename": "prettypandas-0.0.4.tar.gz", "has_sig": false, "md5_digest": "2afb86d6811a81febf6b9d54bc4eb003", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 6520, "upload_time": "2018-03-24T23:45:12", "url": "https://files.pythonhosted.org/packages/91/13/a84ea7875e8b22ef82d1e5a30bd81bd0c10d88e7e9ed48ce35eb7d3674b1/prettypandas-0.0.4.tar.gz" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "2afb86d6811a81febf6b9d54bc4eb003", "sha256": "4bcef689fa59fa96f307b4a2163aaf733872cd3e91a68e61597e68ace74c4e08" }, "downloads": -1, "filename": "prettypandas-0.0.4.tar.gz", "has_sig": false, "md5_digest": "2afb86d6811a81febf6b9d54bc4eb003", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 6520, "upload_time": "2018-03-24T23:45:12", "url": "https://files.pythonhosted.org/packages/91/13/a84ea7875e8b22ef82d1e5a30bd81bd0c10d88e7e9ed48ce35eb7d3674b1/prettypandas-0.0.4.tar.gz" } ] }