1636. Sort Array by Increasing Frequency LeetCode Solution

In this guide, you will get 1636. Sort Array by Increasing Frequency LeetCode Solution with the best time and space complexity. The solution to Sort Array by Increasing Frequency problem is provided in various programming languages like C++, Java, and Python. This will be helpful for you if you are preparing for placements, hackathons, interviews, or practice purposes. The solutions provided here are very easy to follow and include detailed explanations.

Table of Contents

  1. Problem Statement
  2. Complexity Analysis
  3. Sort Array by Increasing Frequency solution in C++
  4. Sort Array by Increasing Frequency solution in Java
  5. Sort Array by Increasing Frequency solution in Python
  6. Additional Resources
1636. Sort Array by Increasing Frequency LeetCode Solution image

Problem Statement of Sort Array by Increasing Frequency

Given an array of integers nums, sort the array in increasing order based on the frequency of the values. If multiple values have the same frequency, sort them in decreasing order.
Return the sorted array.

Example 1:

Input: nums = [1,1,2,2,2,3]
Output: [3,1,1,2,2,2]
Explanation: ‘3’ has a frequency of 1, ‘1’ has a frequency of 2, and ‘2’ has a frequency of 3.

Example 2:

Input: nums = [2,3,1,3,2]
Output: [1,3,3,2,2]
Explanation: ‘2’ and ‘3’ both have a frequency of 2, so they are sorted in decreasing order.

Example 3:

Input: nums = [-1,1,-6,4,5,-6,1,4,1]
Output: [5,-1,4,4,-6,-6,1,1,1]

Constraints:

1 <= nums.length <= 100
-100 <= nums[i] <= 100

Complexity Analysis

  • Time Complexity:
  • Space Complexity:

1636. Sort Array by Increasing Frequency LeetCode Solution in C++

struct T {
  int num;
  int freq;
};

class Solution {
 public:
  vector<int> frequencySort(vector<int>& nums) {
    vector<int> ans;
    auto compare = [](const T& a, const T& b) {
      return a.freq == b.freq ? a.num < b.num : a.freq > b.freq;
    };
    priority_queue<T, vector<T>, decltype(compare)> heap(compare);
    unordered_map<int, int> count;

    for (const int num : nums)
      ++count[num];

    for (const auto& [num, freq] : count)
      heap.emplace(num, freq);

    while (!heap.empty()) {
      const auto [num, freq] = heap.top();
      heap.pop();
      for (int i = 0; i < freq; ++i)
        ans.push_back(num);
    }

    return ans;
  }
};
/* code provided by PROGIEZ */

1636. Sort Array by Increasing Frequency LeetCode Solution in Java

class Solution {
  public int[] frequencySort(int[] nums) {
    record T(int num, int freq) {}
    int[] ans = new int[nums.length];
    int ansIndex = 0;
    Map<Integer, Integer> count = new HashMap<>();
    Queue<T> heap = new PriorityQueue<>((a, b) //
                                        -> a.freq == b.freq ? Integer.compare(b.num, a.num)
                                                            : Integer.compare(a.freq, b.freq));

    for (final int num : nums)
      count.merge(num, 1, Integer::sum);

    for (Map.Entry<Integer, Integer> entry : count.entrySet())
      heap.offer(new T(entry.getKey(), entry.getValue()));

    while (!heap.isEmpty()) {
      final int num = heap.peek().num;
      final int freq = heap.poll().freq;
      for (int i = 0; i < freq; ++i)
        ans[ansIndex++] = num;
    }

    return ans;
  }
}
// code provided by PROGIEZ

1636. Sort Array by Increasing Frequency LeetCode Solution in Python

from dataclasses import dataclass


@dataclass(frozen=True)
class T:
  num: int
  freq: int

  def __lt__(self, other):
    if self.freq == other.freq:
      return self.num > other.num
    return self.freq < other.freq


class Solution:
  def frequencySort(self, nums: list[int]) -> list[int]:
    ans = []
    heap = []

    for num, freq in collections.Counter(nums).items():
      heapq.heappush(heap, T(num, freq))

    while len(heap) > 0:
      num = heap[0].num
      freq = heapq.heappop(heap).freq
      ans.extend([num] * freq)

    return ans
# code by PROGIEZ

Additional Resources

See also  2343. Query Kth Smallest Trimmed Number LeetCode Solution

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