python实现比较两段文本不同之处的方法

yipeiwu_com7年前Python基础

本文实例讲述了python实现比较两段文本不同之处的方法。分享给大家供大家参考。具体实现方法如下:

# find the difference between two texts
# tested with Python24  vegaseat 6/2/2005
import difflib
text1 = """The World's Shortest Books:
Human Rights Advances in China
"My Plan to Find the Real Killers" by OJ Simpson
"Strom Thurmond: Intelligent Quotes"
America's Most Popular Lawyers
Career Opportunities for History Majors
Different Ways to Spell "Bob"
Dr. Kevorkian's Collection of Motivational Speeches
Spotted Owl Recipes by the EPA
The Engineer's Guide to Fashion
Ralph Nader's List of Pleasures
"""
text2 = """The World's Shortest Books:
Human Rights Advances in China
"My Plan to Find the Real Killers" by OJ Simpson
"Strom Thurmond: Intelligent Quotes"
America's Most Popular Lawyers
Career Opportunities for History Majors
Different Ways to Sell "Bob"
Dr. Kevorkian's Collection of Motivational Speeches
Spotted Owl Recipes by the EPA
The Engineer's Guide to Passion
Ralph Nader's List of Pleasures
"""
# create a list of lines in text1
text1Lines = text1.splitlines(1)
print "Lines of text1:"
for line in text1Lines:
 print line,
print
# dito for text2
text2Lines = text2.splitlines(1)
print "Lines of text2:"
for line in text2Lines:
 print line,
print 
diffInstance = difflib.Differ()
diffList = list(diffInstance.compare(text1Lines, text2Lines))
print '-'*50
print "Lines different in text1 from text2:"
for line in diffList:
 if line[0] == '-':
  print line,

希望本文所述对大家的Python程序设计有所帮助。

相关文章

pandas 层次化索引的实现方法

层次化索引是pandas的一项重要功能,它使你能在一个轴上拥有多个(两个以上)索引级别。 创建一个Series,并用一个由列表或数组组成的列表作为索引。 data=Series(np...

python实现数据图表

python实现数据图表

平时压力测试,生成一些数据后分析,直接看 log 不是很直观,前段时间看到公司同事分享了一个绘制图表python 模块 : plotly, 觉得很实用,利用周末时间熟悉下。 plotl...

Python实现TCP通信的示例代码

使用socket实现tcp通信,需导入socket模块 1、服务端 主要步骤: (1)创建socket:socket.socket(family=AF_INET, type=SOCK_S...

Django中的用户身份验证示例详解

前言 这次开发微信抢票程序中,普通用户的身份是由微信管理的。当用户通过微信公众号(测试号)向后台发消息时,微信会将用户的身份标记为一个unique_id来识别,后端可以由此来判断用户身份...

一看就懂得Python的math模块

math模块 # 数学相关模块 import math r = math.floor(3.2) # 向下取整 print(r) r = math.ceil(4.5) # 向上取整...