安装pytdx

pip install pytdx

简单示范

from pytdx.hq import TdxHq_API
api = TdxHq_API()
# 数据获取接口一般返回list结构，
with api.connect('119.147.212.81', 7709):
# 返回普通listdata = api.get_security_bars(9, 0, '000001', 0, 10) 
print(data)

输出结果

[OrderedDict([('open', 14.75), ('close', 14.8), ('high', 14.88), ('low', 14.52), ('vol', 1057659.0), ('amount', 1561368448.0), ('year', 2023), ('month', 1), ('day', 9), ('hour', 15), ('minute', 0), ('datetime', '2023-01-09 15:00')]), OrderedDict([('open', 14.76), ('close', 14.44), ('high', 14.89), ('low', 14.39), ('vol', 1269423.0), ('amount', 1851093760.0), ('year', 2023), ('month', 1), ('day', 10), ('hour', 15), ('minute', 0), ('datetime', '2023-01-10 15:00')]), OrderedDict([('open', 14.45), ('close', 14.67), ('high', 14.78), ('low', 14.39), ('vol', 830566.0), ('amount', 1217450752.0), ('year', 2023), ('month', 1), ('day', 11), ('hour', 15), ('minute', 0), ('datetime', '2023-01-11 15:00')]), OrderedDict([('open', 14.77), ('close', 14.67), ('high', 14.77), ('low', 14.53), ('vol', 625694.0), ('amount', 914367680.0), ('year', 2023), ('month', 1), ('day', 12), ('hour', 15), ('minute', 0), ('datetime', '2023-01-12 15:00')]), OrderedDict([('open', 14.67), ('close', 14.95), ('high', 14.95), ('low', 14.55), ('vol', 949085.0), ('amount', 1407181056.0), ('year', 2023), ('month', 1), ('day', 13), ('hour', 15), ('minute', 0), ('datetime', '2023-01-13 15:00')]), OrderedDict([('open', 14.95), ('close', 15.08), ('high', 15.28), ('low', 14.85), ('vol', 1560039.0), ('amount', 2356399872.0), ('year', 2023), ('month', 1), ('day', 16), ('hour', 15), ('minute', 0), ('datetime', '2023-01-16 15:00')]), OrderedDict([('open', 15.13), ('close', 14.97), ('high', 15.18), ('low', 14.77), ('vol', 935834.0), ('amount', 1396151552.0), ('year', 2023), ('month', 1), ('day', 17), ('hour', 15), ('minute', 0), ('datetime', '2023-01-17 15:00')]), OrderedDict([('open', 14.95), ('close', 15.11), ('high', 15.18), ('low', 14.91), ('vol', 718434.0), ('amount', 1083362944.0), ('year', 2023), ('month', 1), ('day', 18), ('hour', 15), ('minute', 0), ('datetime', '2023-01-18 15:00')]), OrderedDict([('open', 15.13), ('close', 15.09), ('high', 15.25), ('low', 14.87), ('vol', 641875.0), ('amount', 963744640.0), ('year', 2023), ('month', 1), ('day', 19), ('hour', 15), ('minute', 0), ('datetime', '2023-01-19 15:00')]), OrderedDict([('open', 15.16), ('close', 15.13), ('high', 15.24), ('low', 15.0), ('vol', 608590.0), ('amount', 920144832.0), ('year', 2023), ('month', 1), ('day', 20), ('hour', 15), ('minute', 0), ('datetime', '2023-01-20 15:00')])]

一、基本行情接口索引

1 : 获取股票行情

可以获取多只股票的行情信息

需要传入一个列表，每个列表由一个市场代码，一个股票代码构成的元祖构成 [ (市场代码1，股票代码1)，(市场代码2，股票代码2) … (市场代码n，股票代码n) ]

如：api.get_security_quotes([(0, '000001'), (1, '600300')])

2 : 获取k线

K线种类： 0 5分钟K线 1 15分钟K线 2 30分钟K线 3 1小时K线 4 日K线 5 周K线 6 月K线 7 1分钟 81分钟K线 9 日K线 10 季K线 11 年K线

api.get_security_bars(9,0, '000001', 4, 3)

3 : 获取市场股票数量

api.get_security_count(0)

4 : 获取股票列表

api.get_security_list(1, 0)

5 : 获取指数k线

api.get_index_bars(9,1, '000001', 1, 2)

6 : 查询分时行情

api.get_minute_time_data(1, '600300')

7 : 查询历史分时行情

api.get_history_minute_time_data(TDXParams.MARKET_SH, '600300', 20161209)

8 : 查询分笔成交

api.get_transaction_data(TDXParams.MARKET_SZ, '000001', 0, 30)

9 : 查询历史分笔成交

api.get_history_transaction_data(TDXParams.MARKET_SZ, '000001', 0, 10, 20170209)

10 : 查询公司信息目录

api.get_company_info_category(TDXParams.MARKET_SZ, '000001')

11 : 读取公司信息详情

api.get_company_info_content(0, '000001', '000001.txt', 0, 100)

12 : 读取除权除息信息

api.get_xdxr_info(1, '600300')

13 : 读取财务信息

api.get_finance_info(0, '000001')

14 : 读取k线信息

get_k_data('000001','2017-07-03','2017-07-10')

15 ：读取板块信息

api.get_and_parse_block_info(TDXParams.BLOCK_SZ)

二、扩展行情接口API

from pytdx.exhq import *

1: 获取市场代码

api.get_markets()

2: 查询代码列表

api.get_instrument_info(0, 100)

3: 查询市场中商品数量

api.get_instrument_count()

4: 查询五档行情

api.get_instrument_quote(47, "IF1709")

5: 查询分时行情

api.get_minute_time_data(47, "IF1709")

6: 查询历史分时行情

api.get_history_minute_time_data(31, "00020", 20170811)

7: 查询k线数据

api.get_instrument_bars(TDXParams.KLINE_TYPE_DAILY, 8, "10000843", 0, 100)

8: 查询分笔成交

api.get_transaction_data(31, "00020")

api.get_history_transaction_data(47, "IFL0", 20170810, start=1800)

9: 查询历史分笔成交

api.get_history_transaction_data(31, "00020", 20170810)

[Python]调用pytdx的代码示例