#encoding=gbk
import sys
import MySQLdb
import datetime
import time
dict = {"0":"0-0","1" : "0-500","2" : "500-700","3" : "700-900","4" : "900-1200",
"5" : "1200-1600","6" : "1600-2000","7" : "2000-2500","8" : "2500-3000",
"9" : "3000-3500","10" : "3500-4000","11" : "4000-5000","12" : "5000-7000",
"13" : "7000-10000","14" : "10000-14999","15" : "15000-19999",
"16" : "20000-29999","17" : "30000-49999",
"18" : "50000-100000","19" : "100000-100000",}
city=["合肥","芜湖","蚌埠","六安","安庆",
"淮南","马鞍山","淮北","铜陵","黄山",
"滁州","阜阳","宿州","亳州","池州",
"宣城"]
def getvalue(x):
list=dict[x].split(‘-‘) #[‘0‘, ‘500‘]
return list
#计算时间
starttime = datetime.datetime.now()
conn=MySQLdb.Connection(‘127.0.0.1‘,‘root‘,‘123456‘,‘job‘,charset=‘gbk‘)
cur=conn.cursor()
#循环输出所有城市
for ci in city:
#去除空数据 & 面议数据 & 工作地点为空数据
count=cur.execute("SELECT etjobsalary FROM demo_jobs_store WHERE etjoblocation_str LIKE ‘%%%s%%‘"%ci)
conn.commit()
print "总记录：%s" %count
#执行检查结果
cur.scroll(0,mode=‘absolute‘)
results=cur.fetchall()
fields=cur.description
low=0
high=0
i=0
for ics in range(0,len(results)):
a=int(getvalue(results[ics-1][0])[0])
b=int(getvalue(results[ics-1][0])[1])
if a<100000 and b<100000:
low+=a
high+=b
print "%s的工资是："%ci
print int((low/count)*0.01)*100
print int((high/count)*0.01)*100
#时间结束
endtime = datetime.datetime.now()
#输出时间
print (endtime - starttime).seconds
代码解释：
1、需要安装mysqldb for python的插件
2、该段代码的主要作用是从mysql数据库中字段取出数据，并且根据字段对应的值来取平均值
数据库截图：
结果输出如图：
总结：
1、该段代码用到了多种结构，例如list和dict等。
2、用到了函数。
3、用到了mysql的循环处理。
4、统计程序运行时间。
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