python & pandas链接mysql数据库

Python&pandas与mysql连接

1、python 与mysql 连接及操作，直接上代码，简单直接高效：

 import MySQLdb

 try:

     conn = MySQLdb.connect(host='localhost',user='root',passwd='×××××',db='test',charset='utf8')

     cur = conn.cursor()

     cur.execute('create table user(id int,name varchar(20))' )

     value = [1,'jkmiao']

     cur.execute("insert into user values(%s,%s)",value)

     users = []

     for i in range(20):

         users.append((i,"user"+str(i)))

     cur.executemany("insert into user values(%s,%s)",users)

     cur.execute("update user set name="test" where id=2")

     res = cur.fetchone()

     print res

     res = cur.fetchmany(10)

     print res

     print cur.fetchall()

     conn.commit()

     cur.close()

     conn.close()   

     cur.execute('select * from user')

     cur.close()

     conn.close()

 except MySQLdb.Error,e:

      print "Mysql Error %d: %s" % (e.args[0], e.args[1])  

2、pandas 连接操作mysql：

 import pandas as pd

 import MySQLdb

 conn = MySQLdb.connect(host="localhot",user="root",passwd="*****",db="test",charset="utf8")

 # read

 sql = "select * from user limit 3"

 df = pd.read_sql(sql,conn,index_col="id")

 print df

 # write

 cur = conn.cursor()

 cur.execute("drop table if exists user")
 cur.execute('create table user(id int,name varchar(20))' )
 pd.io.sql.write_frame(df,"user",conn)