{ "info": { "author": "Michael Menz", "author_email": "menzdogma@gmail.com", "bugtrack_url": null, "classifiers": [ "License :: OSI Approved :: BSD License", "Topic :: Utilities" ], "description": "ivypy Documentation\n***************************************************\n\nIntroduction\n============\n\nivypy is a package to retrieve ivy league sports statistics via\nscraping. It provides a few method for doing so.\n\nretrieve\n========\nretrieve is a method which allows a user to get dat as a list of\ndictionaries. retrieve has the following call pattern:\n\nretrieve(sport, endpoint, gender=\"m\", year=\"current\")\n\nwhere sport is the relevant sport, endpoint is the data you want, gender\nis the gender for the sport and year is either \"current\" for the current\nyear or an integer for a previous year. For example to get the standings\nfor men's basketball in 2013:\n\n>>> standings = retrieve(\"basketball\", \"standings\", year=2013)\n>>> for row in standings: print(row)\n{'overall': u'27-5', 'ivy': u'13-1', 'team': 'Harvard'}\n{'overall': u'19-14', 'ivy': u'9-5', 'team': 'Yale'}\n{'overall': u'21-9', 'ivy': u'8-6', 'team': 'Princeton'}\n{'overall': u'21-13', 'ivy': u'8-6', 'team': 'Columbia'}\n{'overall': u'15-14', 'ivy': u'7-7', 'team': 'Brown'}\n{'overall': u'12-16', 'ivy': u'5-9', 'team': 'Dartmouth'}\n{'overall': u'8-20', 'ivy': u'5-9', 'team': 'Penn'}\n{'overall': u'2-26', 'ivy': u'1-13', 'team': 'Cornell'}", "description_content_type": null, "docs_url": null, "download_url": null, "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "UNKNOWN", "keywords": "ivy league sports", "license": "BSD", "maintainer": null, "maintainer_email": null, "name": "ivypy", "package_url": "https://pypi.org/project/ivypy/", "platform": "UNKNOWN", "project_url": "https://pypi.org/project/ivypy/", "project_urls": { "Homepage": "UNKNOWN" }, "release_url": "https://pypi.org/project/ivypy/0.1/", "requires_dist": null, "requires_python": null, "summary": "A package for retrieving ivy league sports data", "version": "0.1" }, "last_serial": 2648248, "releases": { "0.1": [ { "comment_text": "", "digests": { "md5": "51b2abc70ebce4b7a44d5ee692d0d3b4", "sha256": "3f128a84c7c3de31021d3c6341ce5c7bee19a3f86b09ddb202b40dab75bb4b31" }, "downloads": -1, "filename": "ivypy-0.1.tar.gz", "has_sig": false, "md5_digest": "51b2abc70ebce4b7a44d5ee692d0d3b4", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 2856, "upload_time": "2017-02-16T23:14:55", "url": "https://files.pythonhosted.org/packages/76/1b/82bcdf01d07803f5bae6eade8609baf22a83098bc1f6d5224eda2b37b237/ivypy-0.1.tar.gz" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "51b2abc70ebce4b7a44d5ee692d0d3b4", "sha256": "3f128a84c7c3de31021d3c6341ce5c7bee19a3f86b09ddb202b40dab75bb4b31" }, "downloads": -1, "filename": "ivypy-0.1.tar.gz", "has_sig": false, "md5_digest": "51b2abc70ebce4b7a44d5ee692d0d3b4", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 2856, "upload_time": "2017-02-16T23:14:55", "url": "https://files.pythonhosted.org/packages/76/1b/82bcdf01d07803f5bae6eade8609baf22a83098bc1f6d5224eda2b37b237/ivypy-0.1.tar.gz" } ] }