In this article, we will discuss different ways to check if all elements in a List are same or not in Python.

**Table Of Contents**

## Check if all elements of List are equal using a for loop

Iterate over all the elements of list using a for loop, and during iteration check if all elements are equal to the first element of list or not. If yes, then it means all elements of list are same. But before that, check if list has atleast some elements.

Let’s see an example, where we will check if all numbers in a list are equal.

listOfNumbers = [14, 14, 14, 14, 14] # Check if all elements of list are equal and # list has atleast some elements def isSame(listOfElements): result = len(listOfElements) > 0 if result: for elem in listOfElements: if elem != listOfElements[0]: result = False break return result if isSame(listOfNumbers): print('All elements in list are equal') else: print('All elements in list are not equal')

**Output:**

All elements in list are equal

## Check if all elements of List are equal using all() function

Iterate over all the elements of list and check if each element is equal to the first element of list or not. Store the results in a boolean list. Size of this boolean list will be equal to the size of the original list. Also, a True value in this boolean list tells that the corresponding value in original list is equal to the first value of list. So, if all elements in this boolean list are True, then it means all elements in original list are equal. To check if all elements of a list are True, we can use the all() function. It accepts a sequence of boolean type elements and returns True if all the elements in that sequence evaluates to True.

Let’s see an example, where we will check if all numbers in a list are equal.

### Frequently Asked:

listOfNumbers = [14, 14, 14, 14, 14] # Check if all elements of list are equal and # list has atleast some elements if len(listOfNumbers) > 0 and all(elem == listOfNumbers[0] for elem in listOfNumbers): print('All elements in list are equal') else: print('All elements in list are not equal')

**Output:**

All elements in list are equal

## Check if all elements of List are equal using count() function

Fetch the first value of list and then find its occurrence count in the list. If that is equal to the length of the list, then it means all elements in list are equal. Let’s see an example, where we will check if all numbers in a list are equal.

listOfNumbers = [14, 14, 14, 14, 14] # Get number of elements in list numberOfElements = len(listOfNumbers) # Check if all elements of list are equal and # list has atleast some elements if numberOfElements > 0 and numberOfElements == listOfNumbers.count(listOfNumbers[0]): print('All elements in list are equal') else: print('All elements in list are not equal')

**Output:**

All elements in list are equal

## Check if all elements of List are equal using Set

Set in Python contains only unique elements. So, create a set from the list. If the size of set is 1, then it means all elements in list are equal. Let’s see an example, where we will check if all numbers in a list are equal.

listOfNumbers = [14, 14, 14, 14, 14] # Check if all elements of list are equal if len(set(listOfNumbers)) == 1: print('All elements in list are equal') else: print('All elements in list are not equal')

**Output:**

All elements in list are equal

## Check if all elements of List are equal using NumPy Array

Create a NumPy Array from list. Then match all elements of array with the first element of list. If the resultant boolean array contains only True, then it means all elements in list are equal. Let’s see an example,

import numpy as np listOfNumbers = [14, 14, 14, 14, 14] # Create a numpy array from list arr = np.array(listOfNumbers) # Check if all elements of list are equal if arr.size > 0 and (arr == listOfNumbers[0]).all(): print('All elements in list are equal') else: print('All elements in list are not equal')

**Output:**

All elements in list are equal

## Summary

We learned how to check if all elements in a List are equal or not in Python. Thanks.