Metadata-Version: 2.1 Name: baostock Version: 0.8.9 Summary: A tool for obtaining historical data of China stock market Home-page: http://www.baostock.com Author: baostock Author-email: baostock@163.com License: BSD License Platform: all Classifier: Development Status :: 3 - Alpha Classifier: Environment :: Console Classifier: License :: OSI Approved :: BSD License Classifier: Operating System :: OS Independent Classifier: Programming Language :: Python :: 3.5 Classifier: Programming Language :: Python :: 3.6 Classifier: Topic :: Software Development :: Libraries Requires-Dist: pandas (>=0.18.0) BaoStock =============== * It's easy to use because most of the data returned are pandas DataFrame objects * We have our own data server, efficient and stable operation * Free china stock market data * Friendly to machine learning and data mining Target Users -------------- * China Financial Market Analyst * Financial data analysis enthusiasts * Quanters who are interested in china stock market Installation -------------- pip install baostock Upgrade --------------- pip install baostock --upgrade Quick Start -------------- :: import baostock as bs import pandas as pd # 登陆系统 lg = bs.login() # 显示登陆返回信息 print(lg.error_code) print(lg.error_msg) # 详细指标参数，参见“历史行情指标参数”章节 rs = bs.query_history_k_data_plus("sh.601398", "date,code,open,high,low,close,volume,amount,adjustflag", start_date='2017-01-01', end_date='2017-01-31', frequency="d", adjustflag="3") print(rs.error_code) print(rs.error_msg) # 获取具体的信息 result_list = [] while (rs.error_code == '0') & rs.next(): # 分页查询，将每页信息合并在一起 result_list.append(rs.get_row_data()) result = pd.DataFrame(result_list, columns=rs.fields) result.to_csv("D:/history_k_data.csv", encoding="gbk", index=False) print(result) # 登出系统 bs.logout() return:: date code open high low close preclose volume 0 2017-01-03 sh.601398 4.4000 4.4300 4.3900 4.4300 4.4100 104161632 1 2017-01-04 sh.601398 4.4200 4.4400 4.4100 4.4300 4.4300 118923425 2 2017-01-05 sh.601398 4.4300 4.4500 4.4200 4.4400 4.4300 87356137 3 2017-01-06 sh.601398 4.4400 4.4500 4.4300 4.4400 4.4400 87008191 4 2017-01-09 sh.601398 4.4500 4.4800 4.4300 4.4600 4.4400 117454094 5 2017-01-10 sh.601398 4.4500 4.4700 4.4400 4.4600 4.4600 63663257 6 2017-01-11 sh.601398 4.4600 4.4800 4.4500 4.4700 4.4600 52395427 7 2017-01-12 sh.601398 4.4600 4.4700 4.4400 4.4700 4.4700 62166279 amount adjustflag turn tradestatus 0 460087744.0000 3 0.038634 1 1 526408816.0000 3 0.044109 1 2 387580736.0000 3 0.032401 1 3 386138112.0000 3 0.032272 1 4 523539392.0000 3 0.043564 1 5 283646224.0000 3 0.023613 1 6 233898107.0000 3 0.019434 1 7 277258304.0000 3 0.023058 1