python&pandas 与mysql 连接

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])

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)