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Formatting containers using format() in Python

Error Handling in Python using Decorators

Last Updated : 21 Sep, 2021

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Decorators in Python is one of the most useful concepts supported by Python. It takes functions as arguments and also has a nested function. They extend the functionality of the nested function.

Example:

Python3

# defining decorator function def decorator_example(func):     print("Decorator called")     # defining inner decorator function     def inner_function():             print("inner function")             func()     return inner_function    # defining outer decorator function @decorator_example def out_function():     print("outer function") out_function()

Output:

Decorator called inner function outer function

Error handling using decorators

The following example shows how a general error handling code without use of any decorator looks like:

Python3

def mean(a,b):     try:         print((a+b)/2)     except TypeError:         print("wrong data types. enter numeric")   def square(sq):     try:         print(sq*sq)     except TypeError:         print("wrong data types. enter numeric")   def divide(l,b):     try:         print(b/l)     except TypeError:                 print("wrong data types. enter numeric") mean(4,5) square(21) divide(8,4) divide("two","one")

Output :

4.5 441 0.5 wrong data types. enter numeric

Even though there is nothing logically wrong with the above code but it lacks clarity. To make the code more clean and efficient decorators are used for error handling. The following example depicts how the above code can be more presentable and understandable by use of decorators:

Python3

def Error_Handler(func):     def Inner_Function(*args, **kwargs):         try:             func(*args, **kwargs)         except TypeError:             print(f"{func.__name__} wrong data types. enter numeric")     return Inner_Function @Error_Handler def Mean(a,b):         print((a+b)/2)      @Error_Handler def Square(sq):         print(sq*sq)  @Error_Handler def Divide(l,b):         print(b/l)      Mean(4,5) Square(14) Divide(8,4) Square("three") Divide("two","one") Mean("six","five")

Output :

4.5

196

0.5

Square wrong data types. enter numeric

Divide wrong data types. enter numeric

Mean wrong data types. enter numeric

Formatting containers using format() in Python

rakshita_iyer

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Article Tags :

Python
Python Decorators

Practice Tags :

python

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