本文实例讲述了Python统计日志中每个IP出现次数的方法。分享给大家供大家参考。具体如下：

这脚本可用于多种日志类型,本人测试MDaemon的all日志文件大小1.23G左右,分析用时2~3分钟

代码很简单,很适合运维人员,有不足的地方请大家指出哦

#-*- coding:utf-8 -*-
import re,time
def mail_log(file_path):
  global count
  log=open(file_path,\'r\')
  C=r\'\\.\'.join([r\'\\d{1,3}\']*4)
  find=re.compile(C)
  count={}
  for i in log:
    for ip in find.findall(i):
      count[ip]=count.get(ip,1)+1
if __name__ == \'__main__\':
  print time.clock()
  num=0
  mail_log(r\'e:\\MDaemon-20110329-all.log\')
  R=count.items()
  for i in R:
    if i[1]>0: #提取出现次数大于0的IP
      print i
      num+=1
  print \'符合要求数量：%s耗时(%s)\'%(num,time.clock())

输出结果如下：

(\'206.220.200.250\', 8)
(\'66.40.52.37\', 10)
(\'66.40.52.36\', 5)
(\'207.115.11.41\', 4)
(\'96.47.193.25\', 9)
(\'96.47.193.24\', 5)
(\'96.47.193.23\', 17)
(\'72.32.181.92\', 5)
(\'67.76.103.168\', 10)
(\'64.34.161.218\', 5)
(\'209.151.96.3\', 7)
(\'61.135.168.0\', 15)
(\'199.81.128.37\', 2)
(\'199.81.128.36\', 2)
(\'199.81.128.38\', 2)
(\'198.45.19.170\', 16)
(\'12.236.15.9\', 4)
(\'66.96.142.52\', 51)
(\'66.96.142.51\', 55)
(\'66.96.142.50\', 62)
(\'64.18.5.13\', 1553)
(\'69.39.47.14\', 9)
(\'64.18.5.11\', 1557)
(\'64.18.5.10\', 2752)
(\'210.72.13.102\', 4)
(\'64.118.108.196\', 4)
(\'66.60.192.44\', 26)
(\'112.90.194.8\', 4)
(\'198.49.244.245\', 5)
(\'216.183.174.227\', 5)
(\'195.245.230.131\', 5)
(\'211.115.13.27\', 5)
(\'222.247.123.217\', 3)
(\'218.213.85.210\', 2)
(\'201.236.205.96\', 3)
(\'209.85.161.136\', 2)
(\'173.165.120.188\', 5)
(\'50.22.89.39\', 7)
(\'219.129.20.168\', 3)
(\'24.106.197.167\', 5)
(\'207.190.225.69\', 4)
(\'156.3.32.236\', 5)
(\'209.92.157.161\', 5)
(\'216.153.192.200\', 5)
(\'76.77.158.130\', 3)
(\'12.166.4.221\', 5)
(\'66.46.182.96\', 4)
(\'80.252.97.102\', 4)
(\'66.46.182.94\', 5)
(\'66.46.182.95\', 4)
(\'124.14.5.3\', 3)
(\'202.85.139.0\', 5)
(\'207.173.160.17\', 15)
(\'143.101.0.21\', 5)
(\'65.75.75.59\', 9)
(\'77.88.21.89\', 53)
(\'216.128.11.30\', 44)

希望本文所述对大家的Python程序设计有所帮助。