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,timedef 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)+1if __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。