Pandas读取MySQL数据到DataFrame的方法

方法一：

#-*- coding:utf-8 -*-

from sqlalchemy import create_engine

class mysql_engine():
user='******'
passwd='******'
host='******'
port = '******'
db_name='******'
engine = create_engine('mysql://{0}:{1}@{2}:{3}/{4}?charset=utf8'.format(user,passwd,host,port,db_name))

def get_data(sql):
pg_enine=mysql_engine()
try:
 with pg_enine.engine.connect() as con, con.begin():
  df=pd.read_sql(sql,con)# 获取数据
 con.close()
except:
 df=None
return df

方法二：

conn = MySQLdb.connect(host="******",user="******",passwd="******",db='******',port = ******,charset="utf8")
sql = "select * from ****** limit 3"
df = pd.read_sql(sql,conn,index_col="id")
print df

pd 1.9以后的版本，除了sqllite，均需要通过sqlalchemy来设置

来源：https://blog.csdn.net/data_scientist/article/details/54728600