代码如下：

#!/usr/bin/env python
#-*- coding:utf-8 -*-
# @Time  : 2018/6/26  16:19
#Auther:yao

#从数据库获取各个业务系统的每日访问量统计数据，区分工作日统计数据和休息日统计数据。使用分位数5，95 获取分界线，并将分界线保存为csv文件，供以后使用

import pymysql
import datetime as dt
import pandas as pd
import numpy as np


str="""安****
智***
沃***
电***
统******
自*****
资**
资***
集****"""

serviceNames= str.split("\n")
# for i in serviceNames:
#     print i

def getPercentile():
    curdate = dt.datetime.now().strftime('%Y-%m-%d %H:%M')

    # 连接数据库
    db = pymysql.connect(host='10.126.128.110', user='', passwd='', db='cmscp', port=9100, charset='utf8')
    cs = db.cursor()

    #各个业务系统的上界和下届汇总
    thisFinal = []

    for serviceName in serviceNames:
        sql = "SELECT createDate ,icount FROM cmscp.t_web_logcount WHERE serviceName= '%s'  AND icount!= 0 ORDER BY createDate  " %(serviceName)

        try:
            workday=[]
            freeday=[]
            cs.execute(sql)
            results=cs.fetchall()
            for i in results:
                ic = i[0].weekday()
                if ic in range(5):
                    workday.append(i[1])
                else:
                    freeday.append(i[1])
        except:
            print("Error")

        workdaynp = np.array(workday)
        freedaynp = np.array(freeday)

        #获取工作日，和休息日的上界和下界
        workper5 =np.percentile(workdaynp,5)
        workper95 = np.percentile(workdaynp,95)
        freedayper5 = np.percentile(freedaynp,5)
        freedayper95 = np.percentile(freedaynp,95)

        w = workdaynp[(workdaynp>workper95)|(workdaynp<workper5)]
        f = freedaynp[(freedaynp>freedayper95)|(freedaynp< freedayper5)]

        #该业务系统的上界和下届
        thisSys=[serviceName,workper5,workper95,freedayper5,freedayper95]
        thisFinal.append(thisSys)
        print thisSys

        print workday
        print w
        print freeday
        print f

        print ("--------------")
    name =["serviceName","workper5","workper95","freeper5","freeper95"]
    thisFinaldf = pd.DataFrame(columns=name,data=thisFinal)
    #从数据库中获取的数据一个个输出就不会出现乱码问题
    for i in thisFinal:
        print i[0]
    # 下面一行的编码解决了保存为CSV中文乱码问题
    thisFinaldf.to_csv("C:/Users/Administrator/Desktop/thisFinal.csv",encoding="GBK")


getPercentile()