Python獲取股票（A股）日線行情數據-python股票資訊
"""
Python 獲取股票（A股）日線行情數據
"""
import time
import datetime
import tushare as ts
ts.set_token('your token') #自行注冊獲取
pro = ts.pro_api()
def get_data_stock_daily(ts_code='', start_date='', end_date='', retry_count=3, pause=2):
#試3次下載數據，如不成功，每次暫停2鈔
#交易日每天約16點之後取完整數據
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 df
def get_data_stock_daily_a(trade_date='', retry_count=3, pause=2):
#試3次下載數據，如不成功，每次暫停2鈔
#交易日每天約16點之後取完整數據
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 df
def 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) #行情開始日期
end_dt = end_dt(days=0) #行情終止日期
print(start_dt, end_dt)
last_trade_dt = '20221111' #指定行情日期
code_wm = '002594.SZ' #指定股票代碼 以比亞迪爲例
#獲取002594.SZ股票期間日線行情
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)
#獲取2022年11月11日所有股票日線行情
df_nv = get_data_stock_daily_a(trade_date=last_trade_dt, retry_count=3, pause=2)
print(df_nv)
"""運行結果
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
www.wmdbsoft.com
更多函數，安裝工具包
pip install pgabc
"""
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