Python操控mysql批量插入数据的实现方法

cur=db.cursor()

import pymysql
	db=pymysql.connect(host='localhost',user='root',password='123456',port=3	306,db='work1')
	cur=db.cursor() ##获取游标
	sql='create table grade(id varchar(10),name varchar(10),age int,score int,class varchar(10))'
	cur.execute(sql)

id=['101','102','103','104','105','106','107','108','109','110']
	name=['诸葛亮','刘备','周瑜','张飞','关羽','吕布','貂蝉','黄忠','马超','典韦']
	age=[28,30,27,26,28,28,24,26,23,18]
	score=[89,56,78,60,40,33,90,95,86,82]
	class_=['一班','一班','一班','二班','二班','二班','三班','三班','三班','三班']
	sql='insert into grade values(%s,%s,%s,%s,%s)'
	for i in range(0,len(id)):
	  cur.execute(sql,(id[i],name[i],age[i],score[i],class_[i]))
	db.commit()  #一定要提交数据!!不然在数据库中是没有数据显示的

data=((id[i],name[i],age[i],score[i],class_[i]) for i in range(0,len(id)))
	sql='insert into grade values(%s,%s,%s,%s,%s)'
	cur.executemany(sql,data)
	db.commit()

sql='select class,avg(score) from grade group by class order by avg(score) desc'
	cur.execute(sql)
	rst=cur.fetchall()
	print(rst)

import pandas as pd
	df=pd.DataFrame(list(rst),columns=['班级','平均分'])
	df

db.close()

# coding:utf-8
import pymysql
 
# 打开数据库连接
db = pymysql.connect(host='localhost', port=3306,
           user='username', passwd='password', db='database_name', charset='utf8')
 
# 使用cursor()方法获取操作游标
cursor = db.cursor()
 
# SQL 插入语句
sql = "INSERT INTO EMPLOYEE(FIRST_NAME, AGE, SEX) VALUES (%s,%s,%s)"
# 一个tuple或者list
T = (('xiaoming', 31, 'boy'), ('hong', 22, 'girl'), ('wang', 90, 'man'))
 
try:
  # 执行sql语句
  cursor.executemany(sql, T)
  # 提交到数据库执行
  db.commit()
except :
  # 如果发生错误则回滚
  db.rollback()
# 关闭游标
cursor.close()
# 关闭数据库连接
db.close()