


Detailed introduction to the powerful renaming method renames of the os module under python
Detailed explanation of renames, a powerful renaming method of the os module under python
There are many powerful modules in python, among which we often use the OS module. More than 200 methods are provided for us to use, and these methods are all related to data processing. Here we introduce the renaming method.
The renaming method of OS is os.rename. I use ipython. This thing is very powerful. As long as the TAB key is pressed, it can help us automatically align and list the methods that can be used. I found There are 2 methods, namely rename and renames, 2 methods. The former rename has been used countless times, but the latter renames has not been used yet. I have free time today and want to see how useful it is---As the name suggests, I think Maybe it’s batch modification, haha, let’s take a look at the demonstration effect:
[root@localhost ~]# ipython 进入ipython工具 Python 2.6 (r26:66714, Dec 17 2010, 11:17:00) Type "copyright", "credits" or "license" for more information. IPython 0.10.1 -- An enhanced Interactive Python. ? -> Introduction and overview of IPython's features. %quickref -> Quick reference. help -> Python's own help system. object? -> Details about 'object'. ?object also works, ?? prints more. In [1]: import os 导入OS模块 In [2]: os.mkdir("/tmp/test") 新建目录 In [3]: os.listdir("/tmp/test") Out[3]: [] In [4]: os.mkdir("/tmp/test/test1") 新建目录 In [5]: os.listdir("/tmp/test/") Out[5]: ['test1'] In [6]: os.listdir("/tmp/test/test1") Out[6]: [] In [7]: os.ren 按Tab键自动对齐的效果 os.rename os.renames In [7]: os.rename("/tmp/test/test1","/tmp/test/test2") 重命名目录名 In [8]: os.listdir("/tmp/test/") 修改成功 Out[8]: ['test2'] In [9]: os.rename 按Tab键自动对齐的效果 os.rename os.renames In [9]: os.rename("/tmp/test/test2","/tmp/test1/test3") 大家注意看下这个命令和上面的命令的区别,我不仅仅是要重命名最后的目录名,连前面的目录也要重命名 --------------------------------------------------------------------------- OSError Traceback (most recent call last) /root/<ipython console> in <module>() OSError: [Errno 2] No such file or directory 嘿嘿,报错了,说没有这个目录, 下面在看下下面这个强大的方法吧,哈哈 In [10]: os.renames("/tmp/test/test2","/tmp/test1/test3") In [11]: os.listdir("/tmp/test1/test3") Out[11]: [] 嘿嘿,居然成功了,真是强大啊,子目录能改,上级目录也能改,这个法子也许对我们工作会有帮助吧。 In [12]: os.listdir("/tmp/test1") Out[12]: ['test3']
Similarly, he can modify the directory name, I don’t know if it can Should I modify the file name and directory name together? Let’s take a look at the effect:
In [22]: os.listdir("/tmp/test1/test3/") Out[22]: ['test'] 新建一个空文件 In [23]: cat /tmp/test1/test3/test In [24]: os.renam os.rename os.renames In [24]: os.renames("/tmp/test1/test3/test","/tmp/test/test2/test3") 批量修改文件名和目录名,嘿嘿,果然也成功了。 In [25]: os.listdir("/tmp/test/test2/test3") --------------------------------------------------------------------------- OSError Traceback (most recent call last) /root/<ipython console> in <module>() OSError: [Errno 20] Not a directory: '/tmp/test/test2/test3' In [26]: os.listdir("/tmp/test/test2/") 浏览效果 Out[26]: ['test3'] In [27]:
Thank you for reading, I hope it can help everyone, thank you for your review of this article Site support!
For more detailed introduction to the powerful renaming method renames of the os module under Python, please pay attention to the PHP Chinese website for related articles!

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











Python is suitable for data science, web development and automation tasks, while C is suitable for system programming, game development and embedded systems. Python is known for its simplicity and powerful ecosystem, while C is known for its high performance and underlying control capabilities.

Python excels in gaming and GUI development. 1) Game development uses Pygame, providing drawing, audio and other functions, which are suitable for creating 2D games. 2) GUI development can choose Tkinter or PyQt. Tkinter is simple and easy to use, PyQt has rich functions and is suitable for professional development.

You can learn basic programming concepts and skills of Python within 2 hours. 1. Learn variables and data types, 2. Master control flow (conditional statements and loops), 3. Understand the definition and use of functions, 4. Quickly get started with Python programming through simple examples and code snippets.

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.

To maximize the efficiency of learning Python in a limited time, you can use Python's datetime, time, and schedule modules. 1. The datetime module is used to record and plan learning time. 2. The time module helps to set study and rest time. 3. The schedule module automatically arranges weekly learning tasks.

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.

Python excels in automation, scripting, and task management. 1) Automation: File backup is realized through standard libraries such as os and shutil. 2) Script writing: Use the psutil library to monitor system resources. 3) Task management: Use the schedule library to schedule tasks. Python's ease of use and rich library support makes it the preferred tool in these areas.

Python is widely used in the fields of web development, data science, machine learning, automation and scripting. 1) In web development, Django and Flask frameworks simplify the development process. 2) In the fields of data science and machine learning, NumPy, Pandas, Scikit-learn and TensorFlow libraries provide strong support. 3) In terms of automation and scripting, Python is suitable for tasks such as automated testing and system management.
