Python vars() Function with Examples

vars() Function in Python:

The vars() function returns an object’s __dict__ attribute.

The __dict__ attribute is a dictionary that contains a list of the object’s changeable attributes.

Note:

It should be noted that calling the vars() function without any parameters will result in the return of a dictionary containing the local symbol table.

Syntax:

vars(object)

Parameters

object: It may be Any object that has the __dict__ attribute.

Return Value:

vars() returns the given object’s __dict__ attribute.

If the object passed to vars() does not have the __dict__ attribute, a TypeError exception is thrown.
If no arguments are passed to vars(), it behaves similarly to the locals() function.

Note: It should be noted that __dict__ refers to a dictionary or a mapping object. It stores the (writable) attributes of an object.

Method #1: Using Built-in Functions (Static Input)

Approach:

Create a class say Employee.
Take a variable and initialize it with some random number(eid).
Take another variable and initialize it with some random name(ename).
Take another variable and initialize it with some random job role(jobrole).
Create an object for the above class and apply the vars() method to it.
Store it in a variable.
Print the above result.
The Exit of the Program.

Below is the implementation:

# Create a class say, Employee.
class Employee:
    # Take a variable and initialize it with some random number(eid).
    eid = 5
    # Take another variable and initialize it with some random name(ename).
    ename = "kevin"
    # Take another variable and initialize it with some random job role(jobrole).
    jobrole = "software developer"


# Create an object for the above class and apply the vars() method to it
# Store it in a variable.
rslt = vars(Employee)
# Print the above result.
print(rslt)

Output:

{'__module__': '__main__', 'eid': 5, 'ename': 'kevin', 'jobrole': 'software developer', '__dict__': <attribute '__dict__' of 'Employee' objects>, '__weakref__': <attribute '__weakref__' of 'Employee' objects>, '__doc__': None}