Metadata-Version: 1.1
Name: baoshare
Version: 0.5.4
Summary: A tool for obtaining historical data of China stock market
Home-page: UNKNOWN
Author: baoshare
Author-email: baoshare@163.com
License: BSD License
Description-Content-Type: UNKNOWN
Description: 
        baoshare
        ===============
            
        * 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 baoshare
        
        Upgrade
        ---------------
        
            pip install baoshare --upgrade
        
        Quick Start
        --------------
        
        ::
        
            import baostock as bs
            import pandas as pd
            
            # 登陆系统
            lg = bs.login(user_id="anonymous", password="123456")
            # 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("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 = pd.DataFrame(columns=["date","code","open","high","low","close","volume","amount","adjustflag"])
            while (rs.error_code == '0') & rs.next():
                # 分页查询，将每页信息合并在一起
                result = result.append(rs.get_row_data(), ignore_index=True)
            result.to_csv("D:\history_k_data.csv", 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  
        
        
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
