首先通过 Anaconda 安装携带安装好 python 安装见官网，https://docs.anaconda.com/anaconda/install/windows/
如果XX module没有，请命令行 pip3 install XX。 但是如果是这个 ModuleNotFoundError: No module named 'MySQLdb' 请用如下执行SQL。 import pymysql pymysql.install_as_MySQLdb() 废话不多，简单好用的tushare平台，就是能够用简单的代码获取最多数据。 其中token获取需要登录 https://tushare.pro/document/1?doc_id=38 然后获取token，https://tushare.pro/document/1?doc_id=39 案例就如下文，数据共享，小伙伴们直接用(记得数据库连接修改下)。有问题留言或者 邮箱 [email protected]`
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#coding=utf-8
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import pandas as pd
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import tushare as ts
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from sqlalchemy import create_engine
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import pymysql
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pymysql.install_as_MySQLdb()
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ts.set_token('ea3263c5XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX')
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pro = ts.pro_api()
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pro = ts.pro_api('ea3263c54XXXXXXXXXXXXXXXXXXXXXXXXXXX')
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#函数列表
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df_stock_basic = pro.stock_basic(fields='exchange,ts_code,symbol,name,area,industry,fullname,market,curr_type,list_status,list_date,delist_date,is_hs')
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df_trade_cal = pro.trade_cal(field='exchange,cal_date,is_open,pretrade_date')
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df_namechange = pro.namechange(fields='ts_code,name,start_date,end_date,change_reason')
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df_hs_const = pro.hs_const(hs_type='SH', filed='ts_code,hs_type,in_date,out_date,is_new')
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df_hs_const2 = pro.hs_const(hs_type='SZ', filed='ts_code,hs_type,in_date,out_date,is_new')
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df_stock_company = pro.stock_company(field='ts_code,exchange,chairman,manager,secretary,reg_capital,setup_date,province,city,introduction,website,email,office,employees,main_business,business_scope')
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df_new_share = pro.new_share(filed='ts_code,sub_code,name,ipo_date,issue_date,amount,market_amount,price,pe,limit_amount,funds,ballot')
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df_bak_basic = pro.bak_basic(trade_date='', ts_code='',filed='trade_date,ts_code,name,industry,area,pe,float_share,total_share,total_assets,liquid_assets,fixed_assets,reserved,reserved_pershare,eps,bvps,pb,list_date,undp,per_undp,rev_yoy,profit_yoy,gpr,npr,holder_num')
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engine_ts = create_engine('mysql://root:[email protected]:3306/tushare?charset=utf8&use_unicode=1')
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#获取股票列表
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def write_data_stock_basic(df_stock_basic):
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print(df_stock_basic) -
print(df_stock_basic.shape) -
res = df_stock_basic.to_sql('stock_basic', engine_ts, index=False, if_exists='append', chunksize=5000) -
#交易日历
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def write_data_trade_cal(df_trade_cal):
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res = df_trade_cal.to_sql('trade_cal', engine_ts, index=False, if_exists='append', chunksize=5000) -
#股票曾用名
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def write_data_namechange(df_namechange):
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print(df_namechange) -
print(df_namechange.shape) -
res = df_trade_cal.to_sql('namechange', engine_ts, index=False, if_exists='append', chunksize=5000)
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#沪深股通成份股
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def write_data_hs_const(df_hs_const):
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print(df_hs_const) -
print(df_hs_const.shape) -
res = df_hs_const.to_sql('hs_const', engine_ts, index=False, if_exists='append', chunksize=5000) -
#沪深股通成份股
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def write_data_hs_const2(df_hs_const2):
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print(df_hs_const2) -
print(df_hs_const2.shape) -
res = df_hs_const2.to_sql('hs_const', engine_ts, index=False, if_exists='append', chunksize=5000) -
#上市公司基本信息 单次提取4500条
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def write_data_stock_company(df_stock_company):
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print(df_stock_company) -
print(df_stock_company.shape) -
res = df_stock_company.to_sql('stock_company', engine_ts, index=False, if_exists='append', chunksize=5000)
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#上市公司管理层
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#管理层薪酬和持股
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#IPO新股列表
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def write_data_new_share(df_new_share):
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print(df_new_share) -
print(df_new_share.shape) -
res = df_new_share.to_sql('new_share', engine_ts, index=False, if_exists='append', chunksize=5000)
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#备用列表 单次 5000
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def write_data_bak_basic(df_bak_basic):
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print(df_bak_basic) -
print(df_bak_basic.shape) -
res = df_bak_basic.to_sql('bak_basic', engine_ts, index=False, if_exists='append', chunksize=5000)
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if name == 'main':
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print(df_trade_cal) -
print(df_trade_cal.shape) -
write_data_stock_basic(df_stock_basic) -
write_data_trade_cal(df_trade_cal) -
write_data_namechange(df_namechange) -
write_data_hs_const(df_hs_const) -
write_data_hs_const(df_hs_const2) -
write_data_stock_company(df_stock_company) -
write_data_bak_basic(df_bak_basic)`