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。

There are many methods to connect two lists in Python: 1. Use operators, which are simple but inefficient in large lists; 2. Use extend method, which is efficient but will modify the original list; 3. Use the = operator, which is both efficient and readable; 4. Use itertools.chain function, which is memory efficient but requires additional import; 5. Use list parsing, which is elegant but may be too complex. The selection method should be based on the code context and requirements.

There are many ways to merge Python lists: 1. Use operators, which are simple but not memory efficient for large lists; 2. Use extend method, which is efficient but will modify the original list; 3. Use itertools.chain, which is suitable for large data sets; 4. Use * operator, merge small to medium-sized lists in one line of code; 5. Use numpy.concatenate, which is suitable for large data sets and scenarios with high performance requirements; 6. Use append method, which is suitable for small lists but is inefficient. When selecting a method, you need to consider the list size and application scenarios.

Compiledlanguagesofferspeedandsecurity,whileinterpretedlanguagesprovideeaseofuseandportability.1)CompiledlanguageslikeC arefasterandsecurebuthavelongerdevelopmentcyclesandplatformdependency.2)InterpretedlanguageslikePythonareeasiertouseandmoreportab

In Python, a for loop is used to traverse iterable objects, and a while loop is used to perform operations repeatedly when the condition is satisfied. 1) For loop example: traverse the list and print the elements. 2) While loop example: guess the number game until you guess it right. Mastering cycle principles and optimization techniques can improve code efficiency and reliability.

To concatenate a list into a string, using the join() method in Python is the best choice. 1) Use the join() method to concatenate the list elements into a string, such as ''.join(my_list). 2) For a list containing numbers, convert map(str, numbers) into a string before concatenating. 3) You can use generator expressions for complex formatting, such as ','.join(f'({fruit})'forfruitinfruits). 4) When processing mixed data types, use map(str, mixed_list) to ensure that all elements can be converted into strings. 5) For large lists, use ''.join(large_li

Pythonusesahybridapproach,combiningcompilationtobytecodeandinterpretation.1)Codeiscompiledtoplatform-independentbytecode.2)BytecodeisinterpretedbythePythonVirtualMachine,enhancingefficiencyandportability.

ThekeydifferencesbetweenPython's"for"and"while"loopsare:1)"For"loopsareidealforiteratingoversequencesorknowniterations,while2)"while"loopsarebetterforcontinuinguntilaconditionismetwithoutpredefinediterations.Un

In Python, you can connect lists and manage duplicate elements through a variety of methods: 1) Use operators or extend() to retain all duplicate elements; 2) Convert to sets and then return to lists to remove all duplicate elements, but the original order will be lost; 3) Use loops or list comprehensions to combine sets to remove duplicate elements and maintain the original order.


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

MantisBT
Mantis is an easy-to-deploy web-based defect tracking tool designed to aid in product defect tracking. It requires PHP, MySQL and a web server. Check out our demo and hosting services.

Atom editor mac version download
The most popular open source editor

MinGW - Minimalist GNU for Windows
This project is in the process of being migrated to osdn.net/projects/mingw, you can continue to follow us there. MinGW: A native Windows port of the GNU Compiler Collection (GCC), freely distributable import libraries and header files for building native Windows applications; includes extensions to the MSVC runtime to support C99 functionality. All MinGW software can run on 64-bit Windows platforms.

Dreamweaver Mac version
Visual web development tools

Zend Studio 13.0.1
Powerful PHP integrated development environment
