{ "info": { "author": "JieYuan", "author_email": "313303303@qq.com", "bugtrack_url": null, "classifiers": [ "Development Status :: 4 - Beta", "Intended Audience :: Developers", "License :: OSI Approved :: MIT License", "Operating System :: OS Independent", "Programming Language :: Python", "Programming Language :: Python :: 3.5", "Programming Language :: Python :: Implementation", "Topic :: Software Development :: Libraries" ], "description": "

:rocket: Yuan :facepunch:

\n\n---\n> \u6570\u636e\u4e0d\u662f\u521b\u9020\u89c4\u5f8b,\u800c\u662f\u5c55\u793a\u90a3\u4e9b\u539f\u672c\u7684\u89c4\u5f8b\n\nhttps://www.kaggle.com/c/elo-merchant-category-recommendation/discussion/82055#479196\n[Competitions][1]\n\n---\n## Install\n```\npip install Yuan\n```\n## Usage\n#### `from yuan.pipe import *`\n```python\n@X\ndef xfunc1(x):\n _ = x.split()\n print(_)\n return _\n@X\ndef xfunc2(x):\n _ = '>>'.join(x)\n print(_)\n return _\n\n'I am very like a linux pipe' | xfunc1 | xfunc2\n```\n- `xtqdm`\n\n ![tqdm](pic/tqdm.png)\n\n- `xfilter / xmap / xsort / xreduce`\n```python\niterable | xfilter(lambda x: len(x) > 1) | xmap(str.upper) | xsort | xreduce(lambda x, y: x + '-' + y)\n\n'AM-LIKE-LINUX-PIPE-VERY'\n```\n\n- `xsummary`\n```python\niterable | xsummary\n\ncounts 7\nuniques 7\nmissing 0\nmissing_perc 0%\ntypes unique\nName: iterable, dtype: object\n```\n- ...\n\n---\n[1]: https://iphysresearch.github.io/DataSciComp/?sub=PF,IT,AC,DM,CV,NLP,RL,SP\n\n\n", "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/Jie-Yuan/Yuan", "keywords": "tool wheel,yuanjie,utils,\u8f6e\u5b50", "license": "MIT", "maintainer": "JieYuan", "maintainer_email": "313303303@qq.com", "name": "china", "package_url": "https://pypi.org/project/china/", "platform": "all", "project_url": "https://pypi.org/project/china/", "project_urls": { "Homepage": "https://github.com/Jie-Yuan/Yuan" }, "release_url": "https://pypi.org/project/china/1.0.1/", "requires_dist": [ "sanic", "tqdm", "wrapt", "jieba", "keras", "lightgbm", "catboost", "rgf-python", "bayesian-optimization", "statsmodels", "tables", "eli5", "shap", "seaborn", "jovian" ], "requires_python": ">=3.5", "summary": "description", "version": "1.0.1" }, "last_serial": 4967988, "releases": { "1.0.1": [ { "comment_text": "", "digests": { "md5": "6ae24a1338d172c42252c580d0be30ec", "sha256": "ea6ed0cb7f8a303c8b73c8cfcc85994f4c9af4e84371359dda657d173f889e01" }, "downloads": -1, "filename": "china-1.0.1-py3-none-any.whl", "has_sig": false, "md5_digest": "6ae24a1338d172c42252c580d0be30ec", "packagetype": "bdist_wheel", "python_version": "py3", "requires_python": ">=3.5", "size": 622753, "upload_time": "2019-03-21T12:56:10", "url": "https://files.pythonhosted.org/packages/33/ba/de43980dcec263ffdb9c1b40a2e7b745006dd06628de6f4698f5989b90b5/china-1.0.1-py3-none-any.whl" }, { "comment_text": "", "digests": { "md5": "e0d9124e7174365704e493c511a4a7f6", "sha256": "0f99bdc40d6337afe13c52c3229b8d7b38c509b2a6f4160a67e299195116e60e" }, "downloads": -1, "filename": "china-1.0.1.tar.gz", "has_sig": false, "md5_digest": "e0d9124e7174365704e493c511a4a7f6", "packagetype": "sdist", "python_version": "source", "requires_python": ">=3.5", "size": 48543, "upload_time": "2019-03-21T12:56:13", "url": "https://files.pythonhosted.org/packages/e8/9e/8cd1a1c8eb639c75dd528580fd870a60e620e1c5886a998e43afa1adb556/china-1.0.1.tar.gz" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "6ae24a1338d172c42252c580d0be30ec", "sha256": "ea6ed0cb7f8a303c8b73c8cfcc85994f4c9af4e84371359dda657d173f889e01" }, "downloads": -1, "filename": "china-1.0.1-py3-none-any.whl", "has_sig": false, "md5_digest": "6ae24a1338d172c42252c580d0be30ec", "packagetype": "bdist_wheel", "python_version": "py3", "requires_python": ">=3.5", "size": 622753, "upload_time": "2019-03-21T12:56:10", "url": "https://files.pythonhosted.org/packages/33/ba/de43980dcec263ffdb9c1b40a2e7b745006dd06628de6f4698f5989b90b5/china-1.0.1-py3-none-any.whl" }, { "comment_text": "", "digests": { "md5": "e0d9124e7174365704e493c511a4a7f6", "sha256": "0f99bdc40d6337afe13c52c3229b8d7b38c509b2a6f4160a67e299195116e60e" }, "downloads": -1, "filename": "china-1.0.1.tar.gz", "has_sig": false, "md5_digest": "e0d9124e7174365704e493c511a4a7f6", "packagetype": "sdist", "python_version": "source", "requires_python": ">=3.5", "size": 48543, "upload_time": "2019-03-21T12:56:13", "url": "https://files.pythonhosted.org/packages/e8/9e/8cd1a1c8eb639c75dd528580fd870a60e620e1c5886a998e43afa1adb556/china-1.0.1.tar.gz" } ] }