python pymysql链接数据库查询结果转为Dataframe实例

import pymysql
import pandas as pd
def con_sql(db,sql):
# 创建连接
  db = pymysql.connect(host='127.0.0.1', port=3308, user='name', passwd='password', db=db, charset='utf8')
# 创建游标
  cursor = db.cursor()
  cursor.execute(sql)
  result = cursor.fetchall()
#执行结果转化为dataframe
  df = pd.DataFrame(list(result))
# 关闭连接
  db.close()
#返回dataframe
  return df

db = 'database'
sql = 'select * from table'
result = con_sql(db,sql)
print(result.loc[2,2])#打印（3,3）位置的值）

import pandas as pd

dict=[[1,2,3,4,5,6],[2,3,4,5,6,7],[3,4,5,6,7,8],[4,5,6,7,8,9],[5,6,7,8,9,10]]
data=pd.DataFrame(dict)
print(data)
for indexs in data.index:
  print(data.loc[indexs].values[0:-1])

 declare@oldCount int ;
 declare @newCount int ;
 ...
 if(@oldCount = @newCount)
 select -1;  
 select1;