Metadata-Version: 1.0
Name: jdcpy
Version: 1.0.17
Summary: jdcpy模块,吉富数据中心的python接口
Home-page: UNKNOWN
Author: JaydenFish@ThizGroup
Author-email: xmyjd@163.com
License: UNKNOWN
Description: jdcpy module
        ============
        
        本模块是吉富数据中心的python版接口 提供下载基金相关信息的功能
        
        使用方法
        ^^^^^^^^
        
        导入模块
        ''''''''
        
        from jdcpy import jdcpy ex = jdcpy()
        
        ex.login('username', 'password')
        ''''''''''''''''''''''''''''''''
        
        登录 成功登录返回整数0 失败返回string错误信息
        
        jdcpy.info(基金list,基本信息list,投资分布信息list,业绩表现list)
        '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''
        
        获得基金基本信息 成功返回pandas.DataFrame 失败返回string错误信息 例:
        
        ::
        
            t = ex.info(["ZCCUHKD HK Equity", "ZCCUUSD HK Equity"],
            ["Bloomberg_Ticker", "LONG_COMP_NAME", "LEI_NAME", "NAME", "ID_ISIN", "FUND_TYP", "NAV_CRNCY", "DVD_FREQ", "SECURITY_TYP", "FUND_COMP_NAME", "FUND_MGR", "FUND_STRATEGY", "CNTRY_OF_INCORPORATION", "FUND_INCEPT_DT", "FT_Ticker", "FT_RISK"],
            ["ASSET_CLASS_Lv1", "ASSET_CLASS_Lv2", "GEO", "GEO_Lv2", "Category_Lv1", "Category_Lv2", "Category_Lv3", "Category"]
            ["DayEndDate", "DayEndNAV", "AFUNDNAV", "Return1Day", "Return1Week", "Return1Mth", "Return3Mth", "Return6Mth", "Return1Yr", "Return3Yr", "Return5Yr", "Return10Yr", "ReturnMTD", "ReturnQTD", "ReturnYTD", "ReturnSinceInception", "Year1", "Year2", "Year3", "Year4", "Year5", "Year6", "Year7", "Year8", "Year9", "Year10"])
        
            if type(t) != str:
                t.to_csv('info.csv', encoding='gbk')
            # 保存为info.csv,注意encoding
        
        jdcpy.nav(基金list,起始日期timestamp,最终日期timestamp,信息类别list)
        ''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''
        
        获得基金历史数据 成功返回pandas.DataFrame 失败返回string错误信息 例:
        
        ::
        
            t = ex.nav(["ZCCUHKD HK Equity", "ZCCUUSD HK Equity"],
            1515117098000,
            1533659645000,
            ["av_p", "nav_cal", "split", "div_p"])
        
            if type(t) != str:
                t.to_csv('nav.csv', encoding='gbk')
            # 保存为nav.csv,注意encoding
        
Platform: UNKNOWN
