Home Backend Development Python Tutorial How to call methods between different classes in python

How to call methods between different classes in python

Jun 29, 2019 pm 02:26 PM

How to call methods between different classes in python

Call of attributes and methods between classes in Python

class A(object):  #定义一个类
        name='python' #类属性
        def __init__(self): #实例属性
                self.age=18
    def a_print(self):  #实例方法
            print('aaa')
    @classmethod   #类方法
    def b_print(cls):  #cls指代当前的类
            print(cls.__name__)  #获取当前类名
    @staticmethod   #静态方法
    def c_print():
            print('static')
print(A.name) #调用类属性
A.b_print() #调用类方法
# print(A.age) 不可以调用实例属性
print(A().age)  #匿名实例对象可以调用实例属性
a_obj=A() # 类对象 可以调用这个类中所有方法和属性
print(a_obj.age)
print(a_obj.name)
a_obj=A()       #在外部生成一个对象
a_obj.num=1000  #对 对象增加一个额外属性,并赋值
def func(a_obj):  #再把这个对象传递到另一个方法中
        print(a_obj.num) #这个方法中我就可以拿到这个对象,并用这个对象获取到这个对象额外添加       的数据
func(a_obj)
#可以在方法中传递数据
#一个类想要调用另一个类的方法和属性,有两种形式
# 1.继承
# 2.把另外一个对象传递到这个类中,在这个类中调用实例对象
#  把一个类当做是另一个类的属性,通过属性调用的方式调用另一个类的方法
class B(object):
        def __init__(self):
            self.a_obj=A() #把A对象直接作为B的属性
        def func(self,a_obj):
            print(a_obj.num)
            a_obj.a_print()
b_obj=B()
b_obj.a_obj.a_print()
b_obj.a_obj.b_print()
b_obj=B()
b_obj.func(a_obj)
Copy after login

Example:

son.py and all.py are in Under the same folder, you can call each other through from son import * or import son.

You can dynamically instantiate the SON class in son.py, and you can also pass the instance of ALL to SON through parameters to call the method of the ALL class.

all.py

from son import *
class ALL():
 def __init__(self):
  self.mSon = SON(self)
 def getAll(self):
  print "=================getall---------------"
  return self.mSon.getSon()
 def getAlltest(self):
  print "=================getAlltest---------------"
Instance = ALL()
Instance.getAll()
Copy after login

son.py

class SON():
 def __init__(self, instance):
 self.mBattle = instance
 def getSon(self):
 return self.mBattle.getAlltest()
Copy after login

For more Python related technical articles, please visit the Python Tutorial column to learn!

The above is the detailed content of How to call methods between different classes 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

Video Face Swap

Video Face Swap

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

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)

Hot Topics

Java Tutorial
1664
14
PHP Tutorial
1266
29
C# Tutorial
1239
24
Python vs. C  : Applications and Use Cases Compared Python vs. C : Applications and Use Cases Compared Apr 12, 2025 am 12:01 AM

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.

The 2-Hour Python Plan: A Realistic Approach The 2-Hour Python Plan: A Realistic Approach Apr 11, 2025 am 12:04 AM

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: Games, GUIs, and More Python: Games, GUIs, and More Apr 13, 2025 am 12:14 AM

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.

How Much Python Can You Learn in 2 Hours? How Much Python Can You Learn in 2 Hours? Apr 09, 2025 pm 04:33 PM

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 vs. C  : Learning Curves and Ease of Use Python vs. C : Learning Curves and Ease of Use Apr 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 and Time: Making the Most of Your Study Time Python and Time: Making the Most of Your Study Time Apr 14, 2025 am 12:02 AM

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: Exploring Its Primary Applications Python: Exploring Its Primary Applications Apr 10, 2025 am 09:41 AM

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 vs. C  : Exploring Performance and Efficiency Python vs. C : Exploring Performance and Efficiency Apr 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