Python3使用Pandas读取MySQL数据并插入的完整示例

# -*- coding:utf-8 -*-
import pandas as pd
import pymysql
import sys
from sqlalchemy import create_engine

def read_mysql_and_insert():
 
 try:
  conn = pymysql.connect(host='localhost',user='user1',password='123456',db='test',charset='utf8')
 except pymysql.err.OperationalError as e:
  print('Error is '+str(e))
  sys.exit()
  
 try:
  engine = create_engine('mysql+pymysql://user1:123456@localhost:3306/test')
 except sqlalchemy.exc.OperationalError as e:
  print('Error is '+str(e))
  sys.exit()
 except sqlalchemy.exc.InternalError as e:
  print('Error is '+str(e))
  sys.exit()
  
 try: 
  sql = 'select * from sum_case'
  df = pd.read_sql(sql, con=conn) 
 except pymysql.err.ProgrammingError as e:
  print('Error is '+str(e))
  sys.exit() 

 print(df.head())
 df.to_sql(name='sum_case_1',con=engine,if_exists='append',index=False)
 conn.close()
 print('ok')
 
if __name__ == '__main__': 
 df = read_mysql_and_insert()

CREATE TABLE `sum_case` ( 
 `type_id` tinyint(2) DEFAULT NULL, 
 `type_name` varchar(5) DEFAULT NULL, 
 KEY `b` (`type_name`) 
) ENGINE=InnoDB DEFAULT CHARSET=utf8; 

CREATE TABLE `sum_case_1` ( 
 `type_id` tinyint(2) DEFAULT NULL, 
 `type_name` varchar(5) DEFAULT NULL, 
 KEY `b` (`type_name`) 
) ENGINE=InnoDB DEFAULT CHARSET=utf8; 

insert into sum_case (type_id,type_name) values (1,'a'),(2,'b'),(3,'c') 

grant select, update,insert on test.* to 'user1'@'localhost' identified by '123456'