{ "info": { "author": "lizenghai", "author_email": "860007600@qq.com", "bugtrack_url": null, "classifiers": [ "Development Status :: 4 - Beta", "License :: OSI Approved :: BSD License", "Programming Language :: Python :: 3.2", "Programming Language :: Python :: 3.3", "Programming Language :: Python :: 3.4", "Programming Language :: Python :: 3.5" ], "description": "lzh\n===============\n\n.. image:: https://badge.fury.io/py/lzh.png\n :target: http://badge.fury.io/py/lzh\n\n* can be easily to convert most of the date time to a standard format or string format\n* can be easily read a large number of CSV files to a dicttype\n* easy to use as most of the data returned are pandas DataFrame objects\n* can be easily saved as csv, excel or json files\n* can be inserted into MSSQL or MySQL or Mongodb\n\nInstallation\n--------------\n\n pip install lzh\n \nUpgrade\n---------------\n\n pip install lzh --upgrade\n \nQuick Start\n--------------\n\n::\n\n from lzh.feed import ReadMarketCSVFiles\n \n ReadMarketCSVFiles(2)\n \nreturn::\n\n ReadMarketCSVFiles.Market\n {'XX1':data(pandas.DataFrame),\n 'XX2':data(pandas.DataFrame),\n ... ...\n 'XXn':data(pandas.DataFrame)\n }", "description_content_type": null, "docs_url": "https://pythonhosted.org/lzh/", "download_url": "UNKNOWN", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "http://www.ac3.cn", "keywords": "China stock data,futures trade,Stock trade,backtesting", "license": "BSD", "maintainer": null, "maintainer_email": null, "name": "lzh", "package_url": "https://pypi.org/project/lzh/", "platform": "UNKNOWN", "project_url": "https://pypi.org/project/lzh/", "project_urls": { "Download": "UNKNOWN", "Homepage": "http://www.ac3.cn" }, "release_url": "https://pypi.org/project/lzh/0.1.2/", "requires_dist": null, "requires_python": null, "summary": "UNKNOWN", "version": "0.1.2" }, "last_serial": 1869985, "releases": { "0.1.0": [], "0.1.1": [], "0.1.2": [] }, "urls": [] }