How to read the last n lines of a file in Python

高洛峰
Release: 2017-02-27 09:49:24
Original
2194 people have browsed it

The example in this article describes how Python implements reading the last n lines of a file. Share it with everyone for your reference, the details are as follows:

# -*- coding:utf8-*-
import os
import time
import datetime
import math
import string
def get_last_line(inputfile) :
 filesize = os.path.getsize(inputfile)
 blocksize = 1024
 dat_file = open(inputfile, 'r')
 last_line = ""
 lines = dat_file.readlines()
 count = len(lines)
 if count>60:
   num=60
 else:
   num=count
 i=1;
 lastre = []
 for i in range(1,(num+1)):
   if lines :
     n = -i
     last_line = lines[n].strip()
     #print "last line : ", last_line
     dat_file.close()
     #print i
     lastre.append(last_line)
 return lastre
#获取最后一行的结果
re = get_last_line('../update/log/rtime/rtime20130805.log')
print len(re)
for n in re:
  strlist = n.split('  ')
  if strlist[1] == 'ok' and string.atoi(strlist[2])>1000:
     print '数据条数正常'
     print 'OK'
  else:
     print '数据太少,检查发邮件'
Copy after login

The above processing and log file format is

2013-08-05 16:09:30  ok  1673
2013-08-05 16:10:34  ok  1628
2013-08-05 16:11:55  ok  71
2013-08-05 16:13:02  ok  1441
2013-08-05 16:14:06  ok  1634
2013-08-05 16:15:10  ok  1717
2013-08-05 16:16:14  ok  1687
2013-08-05 16:17:18  ok  1642
2013-08-05 16:18:27  ok  1655
2013-08-05 16:19:33  ok  1655
Copy after login

Read the last line:

#返回文件最后一行函数
def get_last_line(inputfile) :
 filesize = os.path.getsize(inputfile)
 blocksize = 1024
 dat_file = open(inputfile, 'r')
 last_line = ""
 if filesize > blocksize :
   maxseekpoint = (filesize // blocksize)
   dat_file.seek((maxseekpoint-1)*blocksize)
 elif filesize :
   #maxseekpoint = blocksize % filesize
   dat_file.seek(0, 0)
 lines = dat_file.readlines()
 if lines :
   last_line = lines[-1].strip()
 #print "last line : ", last_line
 dat_file.close()
 return last_line
Copy after login

For more related articles on how to read the last n lines of a file in Python, please pay attention to the PHP Chinese website!

Related labels:
source:php.cn
Statement of this Website
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn
Popular Tutorials
More>
Latest Downloads
More>
Web Effects
Website Source Code
Website Materials
Front End Template
About us Disclaimer Sitemap
php.cn:Public welfare online PHP training,Help PHP learners grow quickly!