Python : Count Elements with Maximum Frequency

Video 59: In this video, we explore two distinct approaches to determine the count of elements with the maximum frequency in an array of positive integers.

You are given an array consisting of positive integers, and the task is to return the total frequency of elements in the array such that those elements all have the maximum frequency.

The frequency of an element is defined as the number of occurrences of that element in the array.

** Approach 1: Brute Force Method:**
In this method, we utilize two variables to track the maximum frequency and the count of elements having the maximum frequency. By iterating through the distinct elements of the input array, we calculate the count of occurrences and check whether that count is equal to or greater than the previous maximum frequency. Based on this maximum count, we determine the count of elements in the given array.

**Approach 2: Using Dictionary:**
In this approach, we employ a dictionary where the key represents an element from the input array, and the value is the number of occurrences of each element in the input array. Filtering the dictionary based on the maximum value, which denotes the maximum occurrence of an element, allows us to retrieve key:value pairs where the value is equal to the maximum occurrences.

Beyond the basic code explanation, we further explore different ways to update the dictionary and optimize the for loop with concise one-liner code.

For an in-depth understanding of these Python code, please refer to the comprehensive explanatory video.

For comprehensive Python code and supplementary sample data, please refer to the GitHub file provided below.

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