emdfparse 1.0.6

emoney data file parser

# 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