Question

接口：ggt_top10
描述：获取港股通每日成交数据，其中包括沪市、深市详细数据，每天18~20点之间完成当日更新

输入参数

名称	类型	必选	描述
ts_code	str	N	股票代码（二选一）
trade_date	str	N	交易日期（二选一）
start_date	str	N	开始日期
end_date	str	N	结束日期
market_type	str	N	市场类型 2：港股通（沪） 4：港股通（深）

输出参数

名称	类型	描述
trade_date	str	交易日期
ts_code	str	股票代码
name	str	股票名称
close	float	收盘价
p_change	float	涨跌幅
rank	str	资金排名
market_type	str	市场类型 2：港股通（沪） 4：港股通（深）
amount	float	累计成交金额（元）
net_amount	float	净买入金额（元）
sh_amount	float	沪市成交金额（元）
sh_net_amount	float	沪市净买入金额（元）
sh_buy	float	沪市买入金额（元）
sh_sell	float	沪市卖出金额
sz_amount	float	深市成交金额（元）
sz_net_amount	float	深市净买入金额（元）
sz_buy	float	深市买入金额（元）
sz_sell	float	深市卖出金额（元）

接口用法

pro = ts.pro_api()

pro.ggt_top10(trade_date='20180727')

或者

pro.query('ggt_top10', ts_code='00700', start_date='20180701', end_date='20180727')

数据样例

   trade_date ts_code       name   close   p_change  rank   market_type  \
0    20180727   00175    吉利汽车   18.42   -3.2563   4.0            2   
1    20180727   00175    吉利汽车   18.42   -3.2563   4.0            4   
2    20180727   00581  中国东方集团    6.60    5.9390   NaN          4   
3    20180727   00607    丰盛控股    3.48   -2.5210   NaN            4   
4    20180727   00700    腾讯控股  373.00   -0.4803   1.0            2   
5    20180727   00700    腾讯控股  373.00   -0.4803   1.0            4   
6    20180727   00763    中兴通讯   13.74    0.8811   NaN            4   
7    20180727   00914    海螺水泥   49.10    2.1852   NaN            4   
8    20180727   00939    建设银行    7.11   -0.5594   2.0            2   
9    20180727   01088    中国神华   18.24    3.2843   9.0            2   
10   20180727   01288    农业银行    3.81    0.0000   5.0            2   
11   20180727   01299    友邦保险   68.65    0.5124   6.0            2   
12   20180727   01317    枫叶教育    7.07    1.1445   NaN            4   
13   20180727   01398    工商银行    5.82    0.0000   3.0            2   
14   20180727   01448     福寿园    7.60   -4.6424   NaN             4   
15   20180727   01918    融创中国   25.25   -0.3945  10.0            2   
16   20180727   02208    金风科技   10.30    4.9949   NaN            4   
17   20180727   02382  舜宇光学科技  138.60    0.8734   8.0          2   
18   20180727   02382  舜宇光学科技  138.60    0.8734   8.0          4   
19   20180727   03988    中国银行    3.69    0.0000   7.0            2 

         amount   net_amount    sh_amount  sh_net_amount       sh_buy  \
0   476991220.0  -71294840.0  182183940.0    -30957820.0   75613060.0   
1   294807280.0  -71294840.0  182183940.0    -30957820.0   75613060.0   
2    49196800.0   23544640.0          NaN            NaN          NaN   
3    44903050.0  -36431000.0          NaN            NaN          NaN   
4   519061900.0 -219372420.0  383183900.0   -189541460.0   96821220.0   
5   654939900.0 -219372420.0  383183900.0   -189541460.0   96821220.0   
6    94728576.0    5410088.0          NaN            NaN          NaN   
7    97702200.0   97505000.0          NaN            NaN          NaN   
8   379189670.0 -294782730.0  379189670.0   -294782730.0   42203470.0   
9    75536270.0   30045150.0   75536270.0     30045150.0   52790710.0   
10  143294570.0   19808330.0  143294570.0     19808330.0   81551450.0   
11  114038360.0 -112839500.0  114038360.0   -112839500.0     599430.0   
12   50733740.0   13866820.0          NaN            NaN          NaN   
13  237510790.0  162518450.0  237510790.0    162518450.0  200014620.0   
14   54901320.0   24257620.0          NaN            NaN          NaN   
15   75175350.0   -4871850.0   75175350.0     -4871850.0   35151750.0   
16   83730480.0     775296.0          NaN            NaN          NaN   
17  272358740.0  130884350.0  108526330.0     85936290.0   97231310.0   
18  163832410.0  130884350.0  108526330.0     85936290.0   97231310.0   
19  108853650.0 -106781530.0  108853650.0   -106781530.0    1036060.0   

        sh_sell    sz_amount  sh_net_amount      sz_buy     sz_sell  
0   106570880.0  112623340.0    -40337020.0  36143160.0  76480180.0  
1   106570880.0  112623340.0    -40337020.0  36143160.0  76480180.0  
2           NaN   49196800.0     23544640.0  36370720.0  12826080.0  
3           NaN   44903050.0    -36431000.0   4236025.0  40667025.0  
4   286362680.0  135878000.0    -29830960.0  53023520.0  82854480.0  
5   286362680.0  135878000.0    -29830960.0  53023520.0  82854480.0  
6           NaN   94728576.0      5410088.0  50069332.0  44659244.0  
7           NaN   97702200.0     97505000.0  97603600.0     98600.0  
8   336986200.0          NaN            NaN         NaN         NaN  
9    22745560.0          NaN            NaN         NaN         NaN  
10   61743120.0          NaN            NaN         NaN         NaN  
11  113438930.0          NaN            NaN         NaN         NaN  
12          NaN   50733740.0     13866820.0  32300280.0  18433460.0  
13   37496170.0          NaN            NaN         NaN         NaN  
14          NaN   54901320.0     24257620.0  39579470.0  15321850.0  
15   40023600.0          NaN            NaN         NaN         NaN  
16          NaN   83730480.0       775296.0  42252888.0  41477592.0  
17   11295020.0   55306080.0     44948060.0  50127070.0   5179010.0  
18   11295020.0   55306080.0     44948060.0  50127070.0   5179010.0  
19  107817590.0          NaN            NaN         NaN         NaN