search
HomeBackend DevelopmentPython TutorialDetailed explanation of Python file and directory operations

Python directory operations mainly rely on the os and shutil modules.

Python directory operations

New directory
os.mkdir("./test/")
#在当前目录下新建名为“test”的目录,存在则报错
New multi-level directory
os.makedirs("./test/test1/test2/")
#存在则报错
Delete directory
os.rmdir("./test/") 
#移除非空目录,不为空情况下报错
Delete multi-level directory
os.removedirs("./test/test1/test2") 
#移除最后一级(test2)非空目录,不为空情况下报错
Recursive copy tree
shutil.copytree("./test/","./test1/") 
#目标目录(./test1/)必须保证不存在,存在情况下报错
Recursively delete tree
shutil.rmtree("./test/") 
#删除test目录及所包含的文件和目录
Get the directory where the current file is located using os.getcwd(),sys.path[0]

Python file operation

Copy file
shutil.copyfile("./test/1.py","./test1/1.py") 
#目标(./test1/1.py)必须是新文件的路径,否则报错

shutil.copy("./test/1.py","./test1/") 
#目标可以是新文件的路径,也可以是新文件的目录,后者的情况下,新文件的名字为原文件的名字,若存在则覆盖
Move files
shutyil.move("./test/1.py","./test1/")
#目标目录不存在则报错,存在同名文件也报错,目标也可以是文件的路径,例如“./test1/2.py” 此时文件会先移动到test1文件夹下,然后对文件进行重命名为2.py
Delete files
os.remove("./test/1.py") 
#移除目标文件,不存在则报错
Get the path of the current file

os.path.abspath("./test") : Get the absolute path of the file
os.path.realpath("./test/"): Get the real path of the file

Python path processing

Python's processing of paths mainly exists under the os.path module

File path splicing
os.path.join("./test/","test1") #./test/test1/
Determine whether the file or directory exists
os.path.exists() 
#参数为文件路径或目录路径
Judge whether it is a file
os.path.isfile("./test/1.py") 
#True 文件不存在的情况下为 False
Judge whether it is a directory
os.path.isdir("./test/") 
#True. 目录不存在的情况下为 False
Get the name of the file
os.path.basename("./test/1.py") 
#1.py 路径不存在不会报错
Get the name of the directory
os.path.dirname("./test/test1/")
# ./test/test1 参数后面的反斜杠很重要,区别是文件路径还是目录路径。
Split the files in the path and directory
os.path.split("./test/test1/1.py") 
# ("./test/test1/","1.py")

os.path.split("./test/test1/") 
# ("./test/test1/","")
The file extension in the split path
os.path.splitext("./test/1.py") 
# ("./test/1",".py")
Traverse the folder
1)os.path.walk(path,func,args) 参数都必填
参数1为遍历的目录,文件路径不存在不报错
参数2为回调函数,定义为f(args,dirname,files)<dirname:>
参数3与参数2中函数的参数1相对应</dirname:>
2)os.walk(path, topdown,onerror) 参数可选填
参数1为遍历的目录,文件路径不存在不报错
参数2为True或者不填时,遍历规则为先遍历目录在遍历文件,为False时与之相反
参数3为对错误处理的函数,它调用时有一个参数, 一个OSError实例。报告这错误后,继续walk,或者抛出exception终止walk。
调用方式:
for dirname(当前遍历的目录),dirs(目录下的目录列表),files(目录下的文件列表) in os.walk(path)
When resetting the pointer in the file, in addition to the file part of the Python basics In addition to absolute positioning, relative positioning can also be achieved through the os module.
f.seek(位置,os.SEEK_SET|os.SEEK_END|os.SEEK_CUR)

For more information, please refer to

os Module: https://docs.python.org/2/library/os.html

shutil Module:https://docs.python.org/2/library/shutil.html




The above is the detailed content of Detailed explanation of Python file and directory operations. For more information, please follow other related articles on the PHP Chinese website!

Statement
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
Python vs. C  : Learning Curves and Ease of UsePython vs. C : Learning Curves and Ease of UseApr 19, 2025 am 12:20 AM

Python is easier to learn and use, while C is more powerful but complex. 1. Python syntax is concise and suitable for beginners. Dynamic typing and automatic memory management make it easy to use, but may cause runtime errors. 2.C provides low-level control and advanced features, suitable for high-performance applications, but has a high learning threshold and requires manual memory and type safety management.

Python vs. C  : Memory Management and ControlPython vs. C : Memory Management and ControlApr 19, 2025 am 12:17 AM

Python and C have significant differences in memory management and control. 1. Python uses automatic memory management, based on reference counting and garbage collection, simplifying the work of programmers. 2.C requires manual management of memory, providing more control but increasing complexity and error risk. Which language to choose should be based on project requirements and team technology stack.

Python for Scientific Computing: A Detailed LookPython for Scientific Computing: A Detailed LookApr 19, 2025 am 12:15 AM

Python's applications in scientific computing include data analysis, machine learning, numerical simulation and visualization. 1.Numpy provides efficient multi-dimensional arrays and mathematical functions. 2. SciPy extends Numpy functionality and provides optimization and linear algebra tools. 3. Pandas is used for data processing and analysis. 4.Matplotlib is used to generate various graphs and visual results.

Python and C  : Finding the Right ToolPython and C : Finding the Right ToolApr 19, 2025 am 12:04 AM

Whether to choose Python or C depends on project requirements: 1) Python is suitable for rapid development, data science, and scripting because of its concise syntax and rich libraries; 2) C is suitable for scenarios that require high performance and underlying control, such as system programming and game development, because of its compilation and manual memory management.

Python for Data Science and Machine LearningPython for Data Science and Machine LearningApr 19, 2025 am 12:02 AM

Python is widely used in data science and machine learning, mainly relying on its simplicity and a powerful library ecosystem. 1) Pandas is used for data processing and analysis, 2) Numpy provides efficient numerical calculations, and 3) Scikit-learn is used for machine learning model construction and optimization, these libraries make Python an ideal tool for data science and machine learning.

Learning Python: Is 2 Hours of Daily Study Sufficient?Learning Python: Is 2 Hours of Daily Study Sufficient?Apr 18, 2025 am 12:22 AM

Is it enough to learn Python for two hours a day? It depends on your goals and learning methods. 1) Develop a clear learning plan, 2) Select appropriate learning resources and methods, 3) Practice and review and consolidate hands-on practice and review and consolidate, and you can gradually master the basic knowledge and advanced functions of Python during this period.

Python for Web Development: Key ApplicationsPython for Web Development: Key ApplicationsApr 18, 2025 am 12:20 AM

Key applications of Python in web development include the use of Django and Flask frameworks, API development, data analysis and visualization, machine learning and AI, and performance optimization. 1. Django and Flask framework: Django is suitable for rapid development of complex applications, and Flask is suitable for small or highly customized projects. 2. API development: Use Flask or DjangoRESTFramework to build RESTfulAPI. 3. Data analysis and visualization: Use Python to process data and display it through the web interface. 4. Machine Learning and AI: Python is used to build intelligent web applications. 5. Performance optimization: optimized through asynchronous programming, caching and code

Python vs. C  : Exploring Performance and EfficiencyPython vs. C : Exploring Performance and EfficiencyApr 18, 2025 am 12:20 AM

Python is better than C in development efficiency, but C is higher in execution performance. 1. Python's concise syntax and rich libraries improve development efficiency. 2.C's compilation-type characteristics and hardware control improve execution performance. When making a choice, you need to weigh the development speed and execution efficiency based on project needs.

See all articles

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

Video Face Swap

Video Face Swap

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

Hot Tools

Atom editor mac version download

Atom editor mac version download

The most popular open source editor

SublimeText3 Linux new version

SublimeText3 Linux new version

SublimeText3 Linux latest version

SublimeText3 Mac version

SublimeText3 Mac version

God-level code editing software (SublimeText3)

SublimeText3 English version

SublimeText3 English version

Recommended: Win version, supports code prompts!

SAP NetWeaver Server Adapter for Eclipse

SAP NetWeaver Server Adapter for Eclipse

Integrate Eclipse with SAP NetWeaver application server.