首先来看实例代码：

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


import requests
import datetime
import time
import threading

'''
allow_redirects = False禁止重定向，添加在request参数后
get请求用params传参
post请求，数据类型form，用data传参
post请求，数据类型form，用data传参
post请求，数据类型json，json传参
timeout:请求超时时间，添加在request参数后
nub = 10#设置并发线程数
ResponseTime=float(result.elapsed.microseconds)/1000 #获取响应时间，单位ms
ThinkTime = 0.5#设置思考时间
AverageTime = "{:.3f}".format(float(sum(myrequest.times))/float(len(myrequest.times)))#计算数组的平均值，保留3位小数
totaltime = float(hour)*60*60 + float(minute)*60 + float(second) #计算总的思考时间+请求时间
'''

class url_request:
    times = []
    error = []
    def weather_DC(self):
        myrequest=url_request()
        weatherinfo_search = 'https://restapi.amap.com/v3/weather/weatherInfo?parameters'
        params = {'key': 'cd1b11e80ffac05253196aa2a1233f25',
                  'city': 110101,
                  'extensions': 'base',
                  'output': 'JSON'}

        result = requests.get(url=weatherinfo_search, params=params)
        print("状态码：",result.status_code)
        print("返回报文：",result.text)
        ResponseTime=float(result.elapsed.microseconds)/1000
        myrequest.times.append(ResponseTime)
        if result.status_code !=200 :
            myrequest.error.append("0")
if __name__=='__main__':
    myrequest=url_request()
    threads = []
    starttime = datetime.datetime.now()
    print("请求开始时间：request start time %s" %starttime)
    nub = 10
    ThinkTime = 0.5
    for i in range(1, nub+1):
        t = threading.Thread(target=myrequest.weather_DC())
        threads.append(t)
    for t in threads:
        time.sleep(ThinkTime)
        print("线程数：thread %s" %t)
        t.setDaemon(True)
        t.start()
        t.join()
    endtime = datetime.datetime.now()
    print("请求结束时间：request end time %s" %endtime)
    time.sleep(3)
    AverageTime = "{:.3f}".format(float(sum(myrequest.times))/float(len(myrequest.times)))
    print("平均响应时间：Average Response Time %s ms" %AverageTime)
    usetime = str(endtime - starttime)
    hour = usetime.split(':').pop(0)
    minute = usetime.split(':').pop(1)
    second = usetime.split(':').pop(2)
    totaltime = float(hour)*60*60 + float(minute)*60 + float(second)
    print("并发数：Concurrent processing %s" %nub)
    print("#总共消耗的时间：use total time %s s" %(totaltime-float(nub*ThinkTime)))
    print("错误请求数：fail request %s s" %myrequest.error.count("0"))

实例扩展：

利用ruquest发送请求，利用多线程模拟并发

#!/user/bin/env python
#coding=utf-8
import requests
import datetime
import time
import threading

class url_request():
    times = []
    error = []
    def req(self,AppID,url):
        myreq=url_request()
        headers = {'User-Agent' : 'Mozilla/5.0 (Linux; Android 4.2.1; en-us; Nexus 4 Build/JOP40D) AppleWebKit/535.19 (KHTML, like Gecko) Chrome/18.0.1025.166 Mobile Safari/535.19'}
        payload = {'AppID':AppID,'CurrentURL':url}
        r = requests.post("http://xx.xxx.com/WeiXinJSAccessToken/json/WeChatJSTicket",headers=headers,data=payload)
        ResponseTime=float(r.elapsed.microseconds)/1000 #获取响应时间，单位ms
        myreq.times.append(ResponseTime) #将响应时间写入数组
        if r.status_code !=200 :
            myreq.error.append("0")
if __name__=='__main__':
    myreq=url_request()
    threads = []
    starttime = datetime.datetime.now()
    print "request start time %s" %starttime 
    nub = 50#设置并发线程数
    ThinkTime = 0.5#设置思考时间
    for i in range(1, nub+1): 
        t = threading.Thread(target=myreq.req, args=('12','http://m.ctrip.com/webapp/cpage/#mypoints'))
        threads.append(t)
    for t in threads:
        time.sleep(ThinkTime) 
        #print "thread %s" %t #打印线程
        t.setDaemon(True)
        t.start()
    t.join()
    endtime = datetime.datetime.now()
    print "request end time %s" %endtime  
    time.sleep(3)
    AverageTime = "{:.3f}".format(float(sum(myreq.times))/float(len(myreq.times))) #计算数组的平均值，保留3位小数
    print "Average Response Time %s ms" %AverageTime #打印平均响应时间
    usetime = str(endtime - starttime)
    hour = usetime.split(':').pop(0)
    minute = usetime.split(':').pop(1)
    second = usetime.split(':').pop(2)
    totaltime = float(hour)*60*60 + float(minute)*60 + float(second) #计算总的思考时间+请求时间
    print "Concurrent processing %s" %nub #打印并发数
    print "use total time %s s" %(totaltime-float(nub*ThinkTime)) #打印总共消耗的时间
    print "fail request %s" %myreq.error.count("0") #打印错误请求数
request start time 2015-02-10 18:24:14.316000
request end time 2015-02-10 18:24:39.769000
Average Response Time 46.700 ms
Concurrent processing 50
use total time 25.453 s
fail request 1

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