Python统计日志中每个IP出现次数的方法

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。