foodish / Learning_notebook
利用python进行财务分析
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learning_notebook
建议直接安装Anaconda；使用时直接运行py文件或者用ipython notebook运行ipynb文件。
一般情况下，data文件夹为数据文件夹，pic为图片文件夹。
网上直接查看的话，建议使用ipynb格式，在这里查看（把github的项目或文件地址粘贴进去即可查看，下面直接给出了地址）：http://nbviewer.jupyter.org/github/foodish/learning_notebook/tree/master/
pandas_learning:pandas学习笔记，原始出处为官方文档
00_data：从雪球下载所有A股股票的财务三表数据 http://nbviewer.jupyter.org/github/foodish/learning_notebook/blob/master/00_data/download.ipynb
01_fenxi：利用雪球数据进行财务分析并生成所需要的图片 http://nbviewer.jupyter.org/github/foodish/learning_notebook/blob/master/01_fenxi/600519_analysis.ipynb
02_baogao：利用此前生成的图片自动化生成财务分析的docx文档（包含了01_fenxi的内容）；需安装python-docx模块 http://nbviewer.jupyter.org/github/foodish/learning_notebook/blob/master/02_baogao/report.ipynb
03_maotai_analysis：较完整的自动化财务报表生成示例,以贵州茅台为例 http://nbviewer.jupyter.org/github/foodish/learning_notebook/blob/master/03_maotai_analysis/600519_analysis.ipynb
04_hangye：白酒行业分析
05_maotai_crawler:茅台爬虫
06_tmall_crawlers:天猫爬虫
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