{ "info": { "author": "JugglinDan", "author_email": "jugglindan@gmail.com", "bugtrack_url": null, "classifiers": [ "Development Status :: 4 - Beta", "Environment :: Console", "Intended Audience :: End Users/Desktop", "License :: OSI Approved :: Apache Software License", "Operating System :: OS Independent", "Programming Language :: Python :: 2", "Programming Language :: Python :: 2.7", "Programming Language :: Python :: 3", "Topic :: Games/Entertainment :: Role-Playing", "Topic :: Utilities" ], "description": "# habitica-challenge-wrangler\nData wrangling tool for quickly selecting a winner from\n[Habitica](https://habitica.com) Challenge CSV data.\n\n* Free software: Apache 2.0\n* Homepage: https://github.com/DC23/habitica-challenge-wrangler\n* Version: 2.0.0\n\n## Installation\n\nTo install the latest release from [PyPI](https://pypi.python.org/pypi):\n\n pip install habitica-challenge-wrangler\n\nIf you already have `habitica-challenge-wrangler` installed, then upgrade with:\n\n pip install --upgrade habitica-challenge-wrangler\n\nThis application requires the [pandas library](http://pandas.pydata.org/), \nversion 0.17.0 or higher. If you have trouble installing with pip, then\nI suggest you use one of the scientific Python distributions, such as\n[Anaconda](https://www.continuum.io/) (Linux, Mac, Windows), or\n[WinPython](https://winpython.github.io/) (Windows only).\n\n## Usage\n\nFirst, download your Habitica challenge CSV data from the Habitica website.\n\nThen execute the `pick-winner` script, passing the downloaded CSV\nfile name as a command line argument:\n\n pick-winner --input-file my_challenge_data.csv\n\nBy default, the leaderboard showing the top 10 participants is displayed. The\nnumber of participants to display can be specified with the `--leaderboard-rows`\noption:\n\n pick-winner --input-file my_challenge_data.csv --leaderboard-rows 5\n\nThe intermediate data products can optionally be written to a spreadsheet with\nthe `to-excel` command:\n\n pick-winner --input-file my_challenge_data.csv --to-excel\n\nThis will write a single excel file (the name is based on your input file name),\nwith several sheets.\n\n* raw: The raw challenge data.\n* reshaped: The raw challenge data in a more flexible layout compared to the raw\n data.\n* placings: Participant placings in each task.\n* final scores: The complete final scores.\n \n\n## Scoring\n\nEach task is considered separately. Scores are ranked from first to last, with\nfirst place getting 1 point, second place getting 2 points, and so on through to\nlast place.\n\nFor todos, a completed todo is treated as equal first place while incomplete\ntodos are scored as equal last place.\n\nFinally, the ranking scores are averaged for each participant. The participant\nwith the highest average placing in each task is considered the winner.\n\n### Tie Breaks\n\nIn the event of a tie for first place, the names of all tied participants are\nprinted, and a random winner is selected.\n", "description_content_type": null, "docs_url": null, "download_url": "", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://github.com/DC23/habitica-challenge-wrangler", "keywords": "Habitica", "license": "Apache 2.0", "maintainer": "", "maintainer_email": "", "name": "habitica-challenge-wrangler", "package_url": "https://pypi.org/project/habitica-challenge-wrangler/", "platform": "any", "project_url": "https://pypi.org/project/habitica-challenge-wrangler/", "project_urls": { "Homepage": "https://github.com/DC23/habitica-challenge-wrangler" }, "release_url": "https://pypi.org/project/habitica-challenge-wrangler/2.0.0/", "requires_dist": null, "requires_python": "", "summary": "Habitica Challenge Data Wrangler - pick winners from challenge data", "version": "2.0.0" }, "last_serial": 2368012, "releases": { "1.1.2": [ { "comment_text": "", "digests": { "md5": "dbe9a8fa277f3e4ea4d6e08d35890937", "sha256": "a2e909d3c13825c15732c67cab581a93fd5c31c1171000b0e17d64cd13c5f138" }, "downloads": -1, "filename": "habitica-challenge-wrangler-1.1.2.tar.gz", "has_sig": false, "md5_digest": "dbe9a8fa277f3e4ea4d6e08d35890937", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 4468, "upload_time": "2016-09-19T07:11:42", "url": "https://files.pythonhosted.org/packages/9c/47/fcde1d24bca5cebad023788901a2f75da123ac5e7d55b27c5445c8e26e43/habitica-challenge-wrangler-1.1.2.tar.gz" } ], "1.1.3": [ { "comment_text": "", "digests": { "md5": "5360859b3fd1cb74df004ddb127b8a8b", "sha256": "2855db5db44fb16d95fbf86892e75e06f3c860ea8067817ef6409e9a14fec89a" }, "downloads": -1, "filename": "habitica-challenge-wrangler-1.1.3.tar.gz", "has_sig": false, "md5_digest": "5360859b3fd1cb74df004ddb127b8a8b", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 8733, "upload_time": "2016-09-19T07:16:44", "url": "https://files.pythonhosted.org/packages/bf/61/f7afe95c9fecaaef1d2748a36249e71e624b46b024c0c40229b5fc9bb658/habitica-challenge-wrangler-1.1.3.tar.gz" } ], "2.0.0": [ { "comment_text": "", "digests": { "md5": "95ba9120c3d0f15236b0fa55aa0ae0eb", "sha256": "f78c93fe7ef785ab8cf43cf15f334d0bc8257017e1201acb9b9703ca6783131a" }, "downloads": -1, "filename": "habitica-challenge-wrangler-2.0.0.tar.gz", "has_sig": false, "md5_digest": "95ba9120c3d0f15236b0fa55aa0ae0eb", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 9485, "upload_time": "2016-09-28T07:51:47", "url": "https://files.pythonhosted.org/packages/2e/72/7e2016521429df59bf3a5335a1c2552919e8148c36cf1d9fc80fc466c7c3/habitica-challenge-wrangler-2.0.0.tar.gz" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "95ba9120c3d0f15236b0fa55aa0ae0eb", "sha256": "f78c93fe7ef785ab8cf43cf15f334d0bc8257017e1201acb9b9703ca6783131a" }, "downloads": -1, "filename": "habitica-challenge-wrangler-2.0.0.tar.gz", "has_sig": false, "md5_digest": "95ba9120c3d0f15236b0fa55aa0ae0eb", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 9485, "upload_time": "2016-09-28T07:51:47", "url": "https://files.pythonhosted.org/packages/2e/72/7e2016521429df59bf3a5335a1c2552919e8148c36cf1d9fc80fc466c7c3/habitica-challenge-wrangler-2.0.0.tar.gz" } ] }