将百科知识放入jerry_test

eda/recommended_indexs/csv_sql.py

@@ -4,11 +4,11 @@
 import pandas as pd
 from sqlalchemy import create_engine
 
-data=pd.read_excel('xiaba.xls')
+data=pd.read_excel('/Users/admin/Desktop/Data_analysis/wiki_item.xls')
 print(data.head())
 
 # # 初始化数据库连接，使用pymysql模块
-engine = create_engine(str(r"mysql+mysqldb://%s:" + '%s' + "@%s:%s/%s%s") % ("root","3SYz54LS9#^9sBvC",'10.66.157.22', "4000", "jerry_prod","?charset=utf8"))
+engine = create_engine(str(r"mysql+mysqldb://%s:" + '%s' + "@%s:%s/%s%s") % ("root","3SYz54LS9#^9sBvC",'10.66.157.22', "4000", "jerry_test","?charset=utf8"))
 # engine = create_engine('mysql+pymysql://root:147369@localhost:3306/mydb')
 data.to_sql('Knowledge_network',con=engine,if_exists='append',index=False)