文件名自动化

futures_backtrader.py

@@ -14,16 +14,6 @@ import os
 # import multiprocessing
 import matplotlib
 
-cpu_count = os.cpu_count()
-os_name = os.name
-if os_name == 'posix':
-    path = '/Users/daniel/Documents/策略穷举2.csv'
-else:
-    path = 'D:\\BackTrader\\策略穷举0105。csv'
-
-
-
-
 class MyPandasData(PandasData):
     lines = ('change_pct', 'net_amount_main', 'net_pct_main', 'net_amount_xl', 'net_pct_xl', 'net_amount_l', 'net_pct_l'
              , 'net_amount_m', 'net_pct_m', 'net_amount_s', 'net_pct_s',)
@@ -205,7 +195,12 @@ if __name__ == '__main__':
 
     # stocks = pd.read_sql_query(
     #                     'select value from MA5_1d', engine_hlfx)
-
+    cpu_count = os.cpu_count()
+    os_name = os.name
+    if os_name == 'posix':
+        path = '/Users/daniel/Documents/'
+    else:
+        path = 'D:\\BackTrader\\'
     fre = '1d'
     db = pymysql.connect(host='localhost',
                          user='root',
@@ -267,4 +262,4 @@ if __name__ == '__main__':
                 print('每轮耗时：', endtime-stattime)
     edtime = dt.now()
     print('总耗时：', edtime - sttime)
-    df.to_csv(path, index=True)
+    df.to_csv(path+dt.now().strftime('%Y-%m-%d')+'.csv', index=True)