批量插入数据库

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)

标签：engine,Index,批量,数据库,len,插入,pd,path,data
来源： https://www.cnblogs.com/wutanghua/p/16523839.html