# Python: Find the kth largest element in an unsorted array using Heap queue algorithm

## Python heap queue algorithm: Exercise-7 with Solution

Write a Python program to find the k^{th} (1 <= k <= array's length) largest element in an unsorted array using the heap queue algorithm.

**Sample Solution**:

**Python Code:**

```
import heapq
class Solution(object):
def find_Kth_Largest(self, nums, k):
"""
:type nums: List[int]
:type of k: int
:return value type: int
"""
h = []
for e in nums:
heapq.heappush(h, (-e, e))
for i in range(k):
w, e = heapq.heappop(h)
if i == k - 1:
return e
arr_nums = [12, 14, 9, 50, 61, 41]
s = Solution()
result = s.find_Kth_Largest(arr_nums, 3)
print("Third largest element:",result)
result = s.find_Kth_Largest(arr_nums, 2)
print("\nSecond largest element:",result)
result = s.find_Kth_Largest(arr_nums, 5)
print("\nFifth largest element:",result)
```

Sample Output:

Third largest element: 41 Second largest element: 50 Fifth largest element: 12

**Flowchart:**

**Python Code Editor:**

**Have another way to solve this solution? Contribute your code (and comments) through Disqus.**

**Previous:** Write a Python program to sort a given list of elements in ascending order using Heap queue algorithm.

**Next:** Write a Python program to compute maximum product of three numbers of a given array of integers using Heap queue algorithm.

**What is the difficulty level of this exercise?**

Test your Programming skills with w3resource's quiz.

**Weekly Trends**- Python Interview Questions and Answers: Comprehensive Guide
- Scala Exercises, Practice, Solution
- Kotlin Exercises practice with solution
- MongoDB Exercises, Practice, Solution
- SQL Exercises, Practice, Solution - JOINS
- Java Basic Programming Exercises
- SQL Subqueries
- Adventureworks Database Exercises
- C# Sharp Basic Exercises
- SQL COUNT() with distinct
- JavaScript String Exercises
- JavaScript HTML Form Validation
- Java Collection Exercises
- SQL COUNT() function
- SQL Inner Join