Top K Frequent Elements
Explore the top k frequent elements pattern to identify and return the most common elements in a list. Understand the problem constraints and use heap data structures to solve it efficiently. This lesson helps you build practical skills for coding interviews by applying pattern-based techniques.
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Statement
Given an array of integers, arr, and an integer, k, return the most frequent elements.
Note: You can return the answer in any order.
Constraints:
-
arr.length -
arr[i] - 1
knumber of unique elements in an array. - It is guaranteed that the answer is unique.
Examples
Understand the problem
Let’s take a moment to make sure you’ve correctly understood the problem. The quiz below helps you check if you’re solving the correct problem:
Top K Frequent Elements
What is the output if the following inputs are given?
arr = [1, 1, 2, 4, 5, 5]
k = 2
[1]
[5]
[1, 5]
[1, 2]
Figure it out!
We have a game for you to play. Rearrange the logical building blocks to develop a clearer understanding of how to solve this problem.
Try it yourself
Implement your solution in the following coding playground:
from heapq import heappush, heappopdef top_k_frequent(arr, k):# Replace this placeholder return statement with your codereturn []