Table of Contents
Accessor methods
Example
Output
Mutator Method
Conclusion
Home Backend Development Python Tutorial Accessor and modifier methods in Python

Accessor and modifier methods in Python

Aug 20, 2023 pm 05:33 PM
Accessor method: getter Modifier method: setter Attribute operations in python

Accessor and modifier methods in Python

In Python, accessor and modifier methods are used to access private data of a class, which cannot be accessed from outside the class. In object-oriented programming, the data of a class object is encapsulated, that is, the object data is kept as private data and cannot be accessed from outside the object. Provide access to this private data using accessor and modifier methods in Python. These methods are also known as getter and setter methods in Python. In this article, we will understand accessor and modifier methods with examples.

Accessor methods

Accessor methods are used to access object data. An object's private variables can be accessed using accessor methods. Accessor methods are declared as public methods and are used to return private member data of an object. Accessor methods are also called getter methods because they are used to get object data.

In Python the accessor method is defined using @property decorator. When the accessor method is called it returns the private member variable value of the object.

The Chinese translation of

Example

is:

Example

In the following example, we will define a class named Person, which contains a private variable _name. Then, we create an accessor method named name that returns the value of the private member variable _name of the Person class. We can access the value of the _name attribute by creating a person object and using the name accessor method.

class Person:
   def __init__(self, name):
      self.__name = name

   @property
   def name(self):
      return self.__name

person = Person("John")
print(person.name)  
Copy after login

Output

John
Copy after login

Mutator Method

Mutator methods are used to modify an object's private data. Mutator methods are also called setter methods as they are used to set/modify the value of an object private variable. Mutator methods are declared private which modifies the private value of the object variables.

In python mutator methods are defined using the @.setter decorator which specifies that the particular method behaves like a setter method. When the mutator method is called it sets the value of the object private variable.

The Chinese translation of

Example

is:

Example

In the following example, we define a Person class that has a private _name variable. We also define an accessor method named name and a modifier method named name using the @property and @name.setter decorators respectively. When the function is called and passed a value argument, the name modifier method modifies the value of the _name variable.

class Person:
   def __init__(self, name):
      self.__name = name

   @property
   def name(self):
      return self.__name

   @name.setter
   def name(self, value):
      self.__name = value

person = Person("John")
person.name = "Jane"
print(person.name)  
Copy after login

Output

Jane
Copy after login

Conclusion

Accessor and modifier methods are used in object-oriented programming to provide access to the private variables of an object. These methods are also known as getter and setter methods because they are used to get and set/modify the object's private variables respectively. In Python, accessor and modifier methods are defined using the @property and @.setter decorators respectively.

The above is the detailed content of Accessor and modifier methods in Python. For more information, please follow other related articles on the PHP Chinese website!

Statement of this Website
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

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

AI Hentai Generator

AI Hentai Generator

Generate AI Hentai for free.

Hot Article

R.E.P.O. Energy Crystals Explained and What They Do (Yellow Crystal)
2 weeks ago By 尊渡假赌尊渡假赌尊渡假赌
Hello Kitty Island Adventure: How To Get Giant Seeds
1 months ago By 尊渡假赌尊渡假赌尊渡假赌
Two Point Museum: All Exhibits And Where To Find Them
1 months ago By 尊渡假赌尊渡假赌尊渡假赌

Hot Tools

Notepad++7.3.1

Notepad++7.3.1

Easy-to-use and free code editor

SublimeText3 Chinese version

SublimeText3 Chinese version

Chinese version, very easy to use

Zend Studio 13.0.1

Zend Studio 13.0.1

Powerful PHP integrated development environment

Dreamweaver CS6

Dreamweaver CS6

Visual web development tools

SublimeText3 Mac version

SublimeText3 Mac version

God-level code editing software (SublimeText3)

How to Use Python to Find the Zipf Distribution of a Text File How to Use Python to Find the Zipf Distribution of a Text File Mar 05, 2025 am 09:58 AM

This tutorial demonstrates how to use Python to process the statistical concept of Zipf's law and demonstrates the efficiency of Python's reading and sorting large text files when processing the law. You may be wondering what the term Zipf distribution means. To understand this term, we first need to define Zipf's law. Don't worry, I'll try to simplify the instructions. Zipf's Law Zipf's law simply means: in a large natural language corpus, the most frequently occurring words appear about twice as frequently as the second frequent words, three times as the third frequent words, four times as the fourth frequent words, and so on. Let's look at an example. If you look at the Brown corpus in American English, you will notice that the most frequent word is "th

How Do I Use Beautiful Soup to Parse HTML? How Do I Use Beautiful Soup to Parse HTML? Mar 10, 2025 pm 06:54 PM

This article explains how to use Beautiful Soup, a Python library, to parse HTML. It details common methods like find(), find_all(), select(), and get_text() for data extraction, handling of diverse HTML structures and errors, and alternatives (Sel

How to Perform Deep Learning with TensorFlow or PyTorch? How to Perform Deep Learning with TensorFlow or PyTorch? Mar 10, 2025 pm 06:52 PM

This article compares TensorFlow and PyTorch for deep learning. It details the steps involved: data preparation, model building, training, evaluation, and deployment. Key differences between the frameworks, particularly regarding computational grap

Mathematical Modules in Python: Statistics Mathematical Modules in Python: Statistics Mar 09, 2025 am 11:40 AM

Python's statistics module provides powerful data statistical analysis capabilities to help us quickly understand the overall characteristics of data, such as biostatistics and business analysis. Instead of looking at data points one by one, just look at statistics such as mean or variance to discover trends and features in the original data that may be ignored, and compare large datasets more easily and effectively. This tutorial will explain how to calculate the mean and measure the degree of dispersion of the dataset. Unless otherwise stated, all functions in this module support the calculation of the mean() function instead of simply summing the average. Floating point numbers can also be used. import random import statistics from fracti

Serialization and Deserialization of Python Objects: Part 1 Serialization and Deserialization of Python Objects: Part 1 Mar 08, 2025 am 09:39 AM

Serialization and deserialization of Python objects are key aspects of any non-trivial program. If you save something to a Python file, you do object serialization and deserialization if you read the configuration file, or if you respond to an HTTP request. In a sense, serialization and deserialization are the most boring things in the world. Who cares about all these formats and protocols? You want to persist or stream some Python objects and retrieve them in full at a later time. This is a great way to see the world on a conceptual level. However, on a practical level, the serialization scheme, format or protocol you choose may determine the speed, security, freedom of maintenance status, and other aspects of the program

What are some popular Python libraries and their uses? What are some popular Python libraries and their uses? Mar 21, 2025 pm 06:46 PM

The article discusses popular Python libraries like NumPy, Pandas, Matplotlib, Scikit-learn, TensorFlow, Django, Flask, and Requests, detailing their uses in scientific computing, data analysis, visualization, machine learning, web development, and H

Scraping Webpages in Python With Beautiful Soup: Search and DOM Modification Scraping Webpages in Python With Beautiful Soup: Search and DOM Modification Mar 08, 2025 am 10:36 AM

This tutorial builds upon the previous introduction to Beautiful Soup, focusing on DOM manipulation beyond simple tree navigation. We'll explore efficient search methods and techniques for modifying HTML structure. One common DOM search method is ex

How to Create Command-Line Interfaces (CLIs) with Python? How to Create Command-Line Interfaces (CLIs) with Python? Mar 10, 2025 pm 06:48 PM

This article guides Python developers on building command-line interfaces (CLIs). It details using libraries like typer, click, and argparse, emphasizing input/output handling, and promoting user-friendly design patterns for improved CLI usability.

See all articles