Python ZipFile模块详解
Python zipfile模块用来做zip格式编码的压缩和解压缩的,zipfile里有两个非常重要的class, 分别是ZipFile和ZipInfo, 在绝大多数的情况下,我们只需要使用这两个class就可以了。ZipFile是主要的类,用来创建和读取zip文件而ZipInfo是存储的zip文件的每个文件的信息的。
比如要读取一个Python zipfile 模块,这里假设filename是一个文件的路径:
import zipfile
z =zipfile.ZipFile(filename, 'r')
# 这里的第二个参数用r表示是读取zip文件,w是创建一个zip文件
for f in z.namelist():
print f
上面的代码是读取一个zip压缩包里所有文件的名字。z.namelist() 会返回压缩包内所有文件名的列表。
再看看下面一个:
import zipfile
z = zipfile.ZipFile(filename, 'r')
for i in z.infolist():
print i.file_size, i.header_offset
这里使用了z.infolist(), 它返回的就是压缩包内所有文件的信息,就是一个ZipInfo的列表。一个ZipInfo对象中包含了压缩包内一个文件的信息,其中比较常用的是 filename, file_size, header_offset, 分别为文件名,文件大小,文件数据在压缩包中的偏移。其实之前的z.namelist()就是读取的ZipInfo中的filename,组成一个 list返回的。
从压缩包里解压缩出一个文件的方法是使用ZipFile的read方法:
import zipfile
z = zipfile.ZipFile(filename, 'r')
print z.read(z.namelist()[0])
这样就读取出z.namelist()中的第一个文件,并且输出到屏幕,当然也可以把它存储到文件。下面是创建zip压缩包的方法,与读取的方法其实很类似的:
import zipfile, os
z = zipfile.ZipFile(filename, 'w')
# 注意这里的第二个参数是w,这里的filename是压缩包的名字
假设要把一个叫testdir中的文件全部添加到压缩包里(这里只添加一级子目录中的文件):
if os.path.isdir(testdir):
for d in os.listdir(testdir):
z.write(testdir+os.sep+d)
# close() 是必须调用的!
z.close()
面的代码非常的简单。想想还有一个问题,如果我把一个test/111.txt 添加到压缩包里之后我希望在包里它放到test22/111.txt怎么办呢?其实这个就是Python ZipFile模块的write方法中第二个参数的作用了。只需要这样调用:
z.write("test/111.txt", "test22/111.txt")
以上就是我们为大家介绍的有关Python ZipFile模块的相关知识。

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics











PHP is mainly procedural programming, but also supports object-oriented programming (OOP); Python supports a variety of paradigms, including OOP, functional and procedural programming. PHP is suitable for web development, and Python is suitable for a variety of applications such as data analysis and machine learning.

PHP is suitable for web development and rapid prototyping, and Python is suitable for data science and machine learning. 1.PHP is used for dynamic web development, with simple syntax and suitable for rapid development. 2. Python has concise syntax, is suitable for multiple fields, and has a strong library ecosystem.

PHP originated in 1994 and was developed by RasmusLerdorf. It was originally used to track website visitors and gradually evolved into a server-side scripting language and was widely used in web development. Python was developed by Guidovan Rossum in the late 1980s and was first released in 1991. It emphasizes code readability and simplicity, and is suitable for scientific computing, data analysis and other fields.

Python is more suitable for beginners, with a smooth learning curve and concise syntax; JavaScript is suitable for front-end development, with a steep learning curve and flexible syntax. 1. Python syntax is intuitive and suitable for data science and back-end development. 2. JavaScript is flexible and widely used in front-end and server-side programming.

To run Python code in Sublime Text, you need to install the Python plug-in first, then create a .py file and write the code, and finally press Ctrl B to run the code, and the output will be displayed in the console.

Writing code in Visual Studio Code (VSCode) is simple and easy to use. Just install VSCode, create a project, select a language, create a file, write code, save and run it. The advantages of VSCode include cross-platform, free and open source, powerful features, rich extensions, and lightweight and fast.

Golang is better than Python in terms of performance and scalability. 1) Golang's compilation-type characteristics and efficient concurrency model make it perform well in high concurrency scenarios. 2) Python, as an interpreted language, executes slowly, but can optimize performance through tools such as Cython.

Running Python code in Notepad requires the Python executable and NppExec plug-in to be installed. After installing Python and adding PATH to it, configure the command "python" and the parameter "{CURRENT_DIRECTORY}{FILE_NAME}" in the NppExec plug-in to run Python code in Notepad through the shortcut key "F6".
