


How to use the repr() function in Python to obtain the string representation of an object
How to use the repr() function in Python to obtain the string representation of an object
Introduction:
In Python, we often need to convert objects into characters It can be output, stored or passed to other functions in the form of a string. The repr() function is one of the commonly used functions in Python, used to obtain the string representation of an object. This article will introduce how to use the repr() function and attach code examples.
1. The role of the repr() function:
In Python, each object has a default string representation, which is used to display the basic information of the object. But in some cases, we may need to obtain more object information, including detailed attributes, status, etc. of the object. At this time, you can use the repr() function to obtain the string representation of the object. The string returned by the
repr() function has the following characteristics:
- The string is enclosed in single quotes or double quotes.
- Strings can be re-converted into original objects using the eval() function.
- The string form contains detailed information of the object, such as class name, attributes, status, etc.
2. How to use the repr() function:
The use of the repr() function is very simple. Just add a period "." after the object, followed by repr. (), that is:
repr(object)
Code example:
The following is a simple code example that demonstrates how to use the repr() function to obtain the string representation of an object:
class Person: def __init__(self, name, age): self.name = name self.age = age def __repr__(self): return f"Person('{self.name}', {self.age})" def __str__(self): return f"Person: {self.name}, {self.age}" person = Person("Tom", 25) # 使用repr()函数输出对象的字符串表示形式 print(repr(person)) # 输出:Person('Tom', 25)
In the above code, we define a Person class, which contains two attributes name and age. In the class, we override the __repr__() method, which will be called by the repr() function and return a string in the form of Person('Tom', 25). We also overridden the __str__() method, which will be called by the print() function and return a string in the form of Person: Tom, 25. When printing the person object, use the repr() function to obtain the string representation of the object.
3. The difference between the repr() function and the str() function:
In the above code example, we have rewritten the __repr__() method and the __str__() method at the same time. This is because in Python, there is a difference between the repr() function and the str() function. The string returned by the repr() function is used for development and debugging, while the string returned by the str() function is used for user display. Normally, we should override both methods to use different string representations in different scenarios.
For example, when we print the person object directly, the __str__() method will be called, and the output is: Person: Tom, 25. When we use the repr() function to obtain the string representation of the person object, the __repr__() method is called, and the output is: Person('Tom', 25). The difference between the two is that the string returned by the repr() function contains more detailed information, which is convenient for development and debugging.
Conclusion:
This article introduces how to use the repr() function to obtain the string representation of an object. By overriding the __repr__() method, we can customize the string representation of the object and return it using the repr() function. The repr() function is often used for development and debugging, and can easily view the properties and status of objects. In actual programming, we should rewrite both the __repr__() method and the __str__() method according to the actual situation to use different string representations in different scenarios.
The above is the detailed content of How to use the repr() function in Python to obtain the string representation of an object. For more information, please follow other related articles on the PHP Chinese website!

Python and C each have their own advantages, and the choice should be based on project requirements. 1) Python is suitable for rapid development and data processing due to its concise syntax and dynamic typing. 2)C is suitable for high performance and system programming due to its static typing and manual memory management.

Choosing Python or C depends on project requirements: 1) If you need rapid development, data processing and prototype design, choose Python; 2) If you need high performance, low latency and close hardware control, choose C.

By investing 2 hours of Python learning every day, you can effectively improve your programming skills. 1. Learn new knowledge: read documents or watch tutorials. 2. Practice: Write code and complete exercises. 3. Review: Consolidate the content you have learned. 4. Project practice: Apply what you have learned in actual projects. Such a structured learning plan can help you systematically master Python and achieve career goals.

Methods to learn Python efficiently within two hours include: 1. Review the basic knowledge and ensure that you are familiar with Python installation and basic syntax; 2. Understand the core concepts of Python, such as variables, lists, functions, etc.; 3. Master basic and advanced usage by using examples; 4. Learn common errors and debugging techniques; 5. Apply performance optimization and best practices, such as using list comprehensions and following the PEP8 style guide.

Python is suitable for beginners and data science, and C is suitable for system programming and game development. 1. Python is simple and easy to use, suitable for data science and web development. 2.C provides high performance and control, suitable for game development and system programming. The choice should be based on project needs and personal interests.

Python is more suitable for data science and rapid development, while C is more suitable for high performance and system programming. 1. Python syntax is concise and easy to learn, suitable for data processing and scientific computing. 2.C has complex syntax but excellent performance and is often used in game development and system programming.

It is feasible to invest two hours a day to learn Python. 1. Learn new knowledge: Learn new concepts in one hour, such as lists and dictionaries. 2. Practice and exercises: Use one hour to perform programming exercises, such as writing small programs. Through reasonable planning and perseverance, you can master the core concepts of Python in a short time.

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.


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

Atom editor mac version download
The most popular open source editor

SublimeText3 Linux new version
SublimeText3 Linux latest version

mPDF
mPDF is a PHP library that can generate PDF files from UTF-8 encoded HTML. The original author, Ian Back, wrote mPDF to output PDF files "on the fly" from his website and handle different languages. It is slower than original scripts like HTML2FPDF and produces larger files when using Unicode fonts, but supports CSS styles etc. and has a lot of enhancements. Supports almost all languages, including RTL (Arabic and Hebrew) and CJK (Chinese, Japanese and Korean). Supports nested block-level elements (such as P, DIV),

Zend Studio 13.0.1
Powerful PHP integrated development environment

SecLists
SecLists is the ultimate security tester's companion. It is a collection of various types of lists that are frequently used during security assessments, all in one place. SecLists helps make security testing more efficient and productive by conveniently providing all the lists a security tester might need. List types include usernames, passwords, URLs, fuzzing payloads, sensitive data patterns, web shells, and more. The tester can simply pull this repository onto a new test machine and he will have access to every type of list he needs.