python&pandas 与mysql 连接

喜旎果

　　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)