前言：
如今小伙伴们对“python判断交易日”大致比较关切，朋友们都需要了解一些“python判断交易日”的相关知识。那么小编也在网上收集了一些有关“python判断交易日””的相关文章，希望各位老铁们能喜欢，兄弟们一起来学习一下吧！"""Python 获取股票（A股）日线行情数据"""import timeimport datetimeimport tushare as tsts.set_token('your token') #自行注册获取pro = ts.pro_api()def get_data_stock_daily(ts_code='', start_date='', end_date='', retry_count=3, pause=2): #试3次下载数据，如不成功，每次暂停2钞 #交易日每天约16点之后取完整数据 for g in range(retry_count): try: df = pro.daily(ts_code=ts_code, start_date=start_date, end_date=end_date, fields='ts_code,trade_date,open,high,low,close,pre_close,change,pct_chg,vol,amount') except Exception as err: print(err) time.sleep(pause) else: return dfdef get_data_stock_daily_a(trade_date='', retry_count=3, pause=2): #试3次下载数据，如不成功，每次暂停2钞 #交易日每天约16点之后取完整数据 for g in range(retry_count): try: df = pro.daily(trade_date=trade_date, fields='ts_code,trade_date,open,high,low,close,pre_close,change,\ pct_chg,vol,amount') except Exception as err: print(err) time.sleep(pause) else: return dfdef end_dt(days=0): try: time_temp = datetime.datetime.now() - datetime.timedelta(days=days) dt = time_temp.strftime('%Y%m%d') return dt except Exception as err: print('end_dt is err', err)if __name__ == '__main__': start_dt = end_dt(days=20) #行情开始日期 end_dt = end_dt(days=0) #行情终止日期 print(start_dt, end_dt) last_trade_dt = '20221111' #指定行情日期 code_wm = '002594.SZ' #指定股票代码 以比亚迪为例 #获取002594.SZ股票期间日线行情 df_wm = get_data_stock_daily(ts_code=code_wm, start_date=start_dt, end_date=end_dt, retry_count=3, pause=2) print(df_wm) #获取2022年11月11日所有股票日线行情 df_nv = get_data_stock_daily_a(trade_date=last_trade_dt, retry_count=3, pause=2) print(df_nv) """运行结果 20221023 20221112 ts_code trade_date open ... pct_chg vol amount 0 002594.SZ 20221111 270.50 ... 3.2813 166099.59 4467701.122 1 002594.SZ 20221110 264.63 ... -3.4751 155496.77 4039239.830 2 002594.SZ 20221109 278.15 ... -2.4529 111946.36 3038705.770 3 002594.SZ 20221108 279.45 ... -0.8857 105634.49 2925766.812 4 002594.SZ 20221107 275.00 ... -0.4711 135842.06 3781158.420 5 002594.SZ 20221104 268.98 ... 4.5600 224886.89 6270505.264 6 002594.SZ 20221103 265.02 ... 0.1570 102383.97 2747240.766 7 002594.SZ 20221102 261.00 ... 2.1923 187319.29 4980989.815 8 002594.SZ 20221101 247.11 ... 6.1418 219282.71 5620272.304 9 002594.SZ 20221031 237.50 ... 2.8263 187942.33 4625511.532 10 002594.SZ 20221028 253.00 ... -5.9255 263163.93 6372054.067 11 002594.SZ 20221027 258.99 ... -1.1130 97765.82 2516238.985 12 002594.SZ 20221026 260.00 ... -0.0155 126415.27 3279130.696 13 002594.SZ 20221025 253.00 ... 0.9156 113242.67 2897739.554 14 002594.SZ 20221024 264.90 ... -4.0293 167412.56 4324097.663 [15 rows x 11 columns] ts_code trade_date open ... pct_chg vol amount 0 000001.SZ 20221111 11.13 ... 5.1518 2545070.55 2878557.392 1 000002.SZ 20221111 14.73 ... 9.9791 2911654.04 4449223.899 2 000004.SZ 20221111 9.77 ... -2.3933 22947.25 22190.216 3 000005.SZ 20221111 1.81 ... -1.1050 121048.82 21737.140 4 000006.SZ 20221111 3.98 ... 4.1026 246891.22 99659.542 ... ... ... ... ... ... ... ... 4977 873122.BJ 20221111 11.95 ... -1.3445 5547.54 6557.802 4978 873169.BJ 20221111 6.62 ... 0.1517 6569.34 4333.168 4979 873223.BJ 20221111 3.84 ... 1.3123 21598.31 8352.987 4980 873527.BJ 20221111 9.48 ... 0.1079 2668.09 2483.030 4981 689009.SH 20221111 33.50 ... 1.8416 48064.52 158772.548 [4982 rows x 11 columns] Process finished with exit code 0 """ """ Pgabc 2022000029 author : Pgabc 更多函数，安装工具包 pip install pgabc """ 版权声明：
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