import pandas as pd
from sqlalchemy import create_engine
path="C://Users//Administrator//Desktop/指标//"
data=pd.DataFrame()
flile=os.listdir(path)
list_len=len(flile)
for i in range(list_len):
data_exce = pd.read_csv(path + flile[i])
data = data.append(data_exce)
data.columns=['ID',"unname",'Country','Countrycode', 'Year', 'Is_Leaf', 'Index_Id', 'Tm_Index_Value', 'Mc_Index_Value']
del data['unname']
print(data)
engine=create_engine("mysql+pymysql://root:136382@localhost:3306/wutanghua?charset=utf8")
data.to_sql( 'equ', con=engine, if_exists='append',index=False)
原创文章，作者：wure，如若转载，请注明出处：https://blog.ytso.com/tech/bigdata/277333.html