stock_codes = [‘哈药股份‘,‘青岛啤酒‘,‘中国宝安‘] # 数据间隔时间为 1 分钟 freq = 1 status = {stock_code: 0 for stock_code

stock_codes = ['哈药股份','青岛啤酒','中国宝安']
# 数据间隔时间为 1 分钟
freq = 1
status = {stock_code: 0 for stock_code in stock_codes}
while len(stock_codes) != 0:
    for stock_code in stock_codes.copy():
        # 现在的时间
        now = str(datetime.today()).split('.')[0]
        # 获取最新一个交易日的分钟级别股票行情数据
        df = ef.stock.get_quote_history(stock_code, klt=freq)
        # 将数据存储到 csv 文件中
        df.to_csv(f'{stock_code}.csv', encoding='utf-8-sig', index=None)
        print(f'已在 {now}, 将股票: {stock_code} 的行情数据存储到文件: {stock_code}.csv 中！')
        if len(df) == status[stock_code]:
            # 移除已经收盘的股票代码
            stock_codes.remove(stock_code)
            print(f'股票 {stock_code} 已收盘！')
        status[stock_code] = len(df)
    if len(stock_codes) != 0:
        print('暂停 60 秒')
        time.sleep(60)
    print('-'*10)
print('全部股票已收盘')

标签：status,code,codes,print,csv,stock
来源： https://blog.csdn.net/ProZuoy/article/details/121570308