


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!

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.

You can learn the basics of Python within two hours. 1. Learn variables and data types, 2. Master control structures such as if statements and loops, 3. Understand the definition and use of functions. These will help you start writing simple Python programs.

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 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.

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 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.
