Skip to main content

Method Overriding in Python

 


Learning Sections          show

Method Overriding in Python

Method overriding allows a subclass to provide a specific implementation for a method that is already defined in its superclass. This is particularly useful when the behavior needs to be extended or modified. Overriding ensures that the method in the subclass has the same name, return type, and parameters as the method in the parent class.

When a method in a subclass has the same signature as a method in its superclass, the subclass method overrides the superclass method. This allows the subclass to provide a specific implementation of the method.

Let's explore an example to understand method overriding in detail:

Example: Method Overriding

class Animal:
    # Method in the superclass
    def speak(self):
        return "Animal speaks"

class Dog(Animal):
    # Overriding the method in the subclass
    def speak(self):
        return "Dog barks"

animal = Animal()
dog = Dog()

print(animal.speak())  # Output: Animal speaks
print(dog.speak())    # Output: Dog barks
    
Explanation:

In the above example, we have a superclass Animal with a method speak that returns the string "Animal speaks". The subclass Dog inherits from Animal and overrides the speak method to return "Dog barks".

When we create an instance of Animal and call the speak method, it returns "Animal speaks". However, when we create an instance of Dog and call the speak method, it returns "Dog barks". This demonstrates how the speak method in the Dog class overrides the speak method in the Animal class.

Using super() to Call the Superclass Method

In some cases, we might want to call the overridden method from the superclass in the subclass. This can be done using the super() function. Here's an example:


class Animal:
    def speak(self):
        return "Animal speaks"

class Dog(Animal):
    def speak(self):
        # Calling the superclass method using super()
        parent_speak = super().speak()
        return parent_speak + " and Dog barks"

dog = Dog()
print(dog.speak())  # Output: Animal speaks and Dog barks
    

In this example, the speak method in the Dog class calls the speak method from the Animal class using super() and then appends additional behavior to it.

Popular posts from this blog

Generators in Python

  Learning Sections          show Generators in Python Generators are a special type of iterator in Python that allow you to iterate over a sequence of items without storing them all in memory at once. They are useful for generating large sequences of data on-the-fly, or for processing data in a memory-efficient manner. Creating Generators In Python, generators are created using generator functions or generator expressions: # Generator function def my_generator ( n ): for i in range ( n ): yield i # Generator expression my_generator = ( i for i in range ( 10 )) A generator function uses the yield keyword to yield values one at a time, while a generator expression creates an anonymous generator. Iterating Over Generators You can iterate over the values produced by a generator using a for loop: for value in my_generator ( 5 ): print ( value ) This w...

Inheritance in Python

  Learning Sections          show Inheritance in Python Inheritance is a fundamental concept in object-oriented programming (OOP) that allows a class to inherit attributes and methods from another class. The class that inherits is called the child class or subclass, and the class being inherited from is called the parent class or superclass. Basic Inheritance In Python, a child class inherits from a parent class by specifying the parent class in parentheses after the child class name. Example: class Animal : def __init__ ( self , name ): self . name = name def speak ( self ): raise NotImplementedError ( "Subclass must implement this method" ) class Dog ( Animal ): def speak ( self ): return "Woof!" class Cat ( Animal ): def speak ( self ): return "Meow!" # Create instances of Dog and Cat dog = Dog ( "Buddy" ) cat = Cat ( "Whiskers" ...

If else Conditional Statements in Python

  Learning Sections     show If-Else Conditional Statements Conditional statements allow you to execute different blocks of code based on certain conditions. The most common conditional statement is the if statement. It can be used alone, or combined with elif (else if) and else statements to handle multiple conditions. If Statement The if statement evaluates a condition, and if the condition is true, the block of code indented under the if statement is executed. # If statement example x = 10 if x >> 0 : print ( "x is positive" ) If-Else Statement The if-else statement adds an additional block of code that runs if the condition is false. # If-else statement example x = -10 if x >> 0 : print ( "x is positive" ) else : print ( "x is non-positive" ) If-Elif-Else Statement The if-elif-else statement allows you to check multiple conditions. The fir...