Metadata-Version: 1.1
Name: emdfparse
Version: 1.0.6
Summary: emoney data file parser
Home-page: UNKNOWN
Author: lostsummer
Author-email: lostsummer@gmail.com
License: UNKNOWN
Description: # emdfparse
        
        ## 安装
        
        ```
        pip install emdfparse
        ```
        
        ## 用途
        
        解析金融平台几种数据文件
        
        - K线类型: Day.dat, Day_\*.dat, Min1.dat, Min1_\*.dat, Min5.dat, Min5_\*.dat, Min30.dat, Min30_\*.dat 等
        - 分时数据: Minute.dat_n 等
        - 成交数据: Bargain.dat_n 等
        - HisMin (我不知道怎么文字描述这个类型): HisMin.dat_n
        
        可作为一个包供其他python脚本使用，也可以作为一个打印数据到标准输出的命令行工具使用
        
        ### 作为包
        
        ```
        usage:
        
            >>> from emdfparse import DataFile, Day
            >>> df = DataFile('/usr/local/EMoney/Data/Day.dat', Day)
            >>> for id, tms in df.items():
                    print('id: {}'.format(id))
                    print(tms)
        
            id: 1
            time:20171009    open:3403245     high:3410170     low :3366965     close:3374378     volume:191736057   amount:227440594944
            time:20171016    open:3393205     high:3400511     low :3374768     close:3378470     volume:174330620   amount:221650690048
            ...
        ```
        
        
        ### 作为命令行工具
        
        ```
        Usage:
          emdfparse -h | --help | --version
          emdfparse -t <type> (-c| -a| -l| -i <goodsid>) <filename>
        
        Arguments:
          filename          name of data file
        
        Options:
          -h --help         show help
          -v --version      show version
          -t <type>         specify the file type ( d| m| h| b ) d: Day, m: Minute, h: HisMin, b: Bargain
          -c                output goods number
          -a                output all goods time series data in file
          -l                list goods id in file
          -i <goodsid>      output the time data of specified good
        
        ```
        
        示例:
        
        #### 1. 列出Day.dat 股票数量
        ```
        emdfparse -t d -c Day.dat
        
        6718
        ```
        
        #### 2. 列出Day.dat 中所有股票
        
        ```
        emdfparse -t d -l Day.dat
        
        1835474
        136611
        1835086
        1833114
        1835479
        1835483
        1835485
        1835486
        1835488
        1835489
        1835490
        1150067
        1835492
        1107513
        1835494
        1835495
        1870213
        1835501
        1835502
        1835503
        ...
        
        后接 "|less" 可浏览, 接 "|wc -l" 可统计股票数量, 不赘述
        ```
        
        
        #### 3. 列出HisMin.dat_1中goodsId为1的股票数据(最后先用1命令查看文件中是否有该goodsId, -i 指定文件中不存在的goodsId会抛KeyError异常)
        
        ```
        emdfparse -t h -i 1 HisMin.dat_1|less
        
        time:1711130931  price:3439398     ave :3438242     volume:4194014     zjjl:105805922
        time:1711130932  price:3439423     ave :3437565     volume:1872804     zjjl:366456452
        time:1711130933  price:3440603     ave :3437058     volume:1744091     zjjl:439886382
        time:1711130934  price:3442064     ave :3437636     volume:1878208     zjjl:464182285
        time:1711130935  price:3443901     ave :3438182     volume:1949975     zjjl:423776842
        time:1711130936  price:3445536     ave :3438190     volume:1760475     zjjl:496812106
        time:1711130937  price:3446067     ave :3437862     volume:1827598     zjjl:487830651
        ...
        ```
        
        #### 4. 列出Bargain.dat_1中所有股票数据(数据较多)
        
        ```
        emdfparse -t b -a Bargain.dat_1
        
        id:603101
        date:0           time:91500       price:16480       volume:500         tradenum:0           bs  :-1
        date:0           time:91503       price:16600       volume:500         tradenum:0           bs  :-1
        date:0           time:92006       price:16600       volume:800         tradenum:0           bs  :-1
        date:0           time:92051       price:16610       volume:800         tradenum:0           bs  :-1
        date:0           time:92248       price:16600       volume:1500        tradenum:0           bs  :-1
        date:0           time:92303       price:16600       volume:3100        tradenum:0           bs  :1
        date:0           time:92339       price:16600       volume:4100        tradenum:0           bs  :1
        date:0           time:92430       price:16600       volume:4600        tradenum:0           bs  :1
        date:0           time:92503       price:16600       volume:4600        tradenum:12          bs  :1
        date:0           time:93003       price:16500       volume:5400        tradenum:21          bs  :-1
        date:0           time:93006       price:16510       volume:200         tradenum:22          bs  :-1
        date:0           time:93024       price:16550       volume:11600       tradenum:23          bs  :1
        ...
        
        id:4310001
        date:20171017    time:91400       price:94270       volume:35          tradenum:71880       bs  :-1
        date:20171017    time:91500       price:94275       volume:20          tradenum:71897       bs  :1
        date:20171017    time:91501       price:94280       volume:44          tradenum:71907       bs  :1
        date:20171017    time:91501       price:94265       volume:15          tradenum:71916       bs  :-1
        date:20171017    time:91502       price:94270       volume:24          tradenum:71915       bs  :1
        date:20171017    time:91502       price:94265       volume:19          tradenum:71916       bs  :-1
        date:20171017    time:91503       price:94275       volume:25          tradenum:71922       bs  :1
        date:20171017    time:91503       price:94290       volume:28          tradenum:71938       bs  :1
        date:20171017    time:91504       price:94285       volume:12          tradenum:71940       bs  :1
        date:20171017    time:91504       price:94285       volume:4           tradenum:71938       bs  :1
        date:20171017    time:91505       price:94280       volume:3           tradenum:71938       bs  :1
        date:20171017    time:91505       price:94290       volume:15          tradenum:71938       bs  :1
        date:20171017    time:91506       price:94285       volume:6           tradenum:71942       bs  :-1
        ...
        ```
        
        __注__: 2, 3 命名打印的可能并不是指定数据类型的所有字段, 可以根据需要修改Day, Minute等数据子类的brieflist, 或重写覆盖基类printbrief方法
        
        
        
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Environment :: Console
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: MacOS
Classifier: Operating System :: POSIX
Classifier: Operating System :: POSIX :: Linux
Classifier: Operating System :: Microsoft :: Windows
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
