Count Subarrays With Median K — LeetCode 2488 Python Solution
HardArrayHash TablePrefix Sum
- Problem
- #2488
- Pattern
- Prefix Sum
- Reading time
- 3 min
- Source
- leetcode.com
The problem
You are given an array nums of size n consisting of distinct integers from 1 to n and a positive integer k. Return the number of non-empty subarrays in nums that have a median equal to k.
Example
- Input
- nums = [3,2,1,4,5], k = 4
- Output
- 3
- Explanation
- The subarrays that have a median equal to 4 are: [4], [4,5] and [1,4,5].
Python solution
Python
class Solution:
def countSubarrays(self, nums: List[int], k: int) -> int:
i = nums.index(k)
cnt = Counter()
ans = 1
x = 0
for v in nums[i + 1 :]:
x += 1 if v > k else -1
ans += 0 <= x <= 1
cnt[x] += 1
x = 0
for j in range(i - 1, -1, -1):
x += 1 if nums[j] > k else -1
ans += 0 <= x <= 1
ans += cnt[-x] + cnt[-x + 1]
return ansComplexity
| Measure | Complexity |
|---|---|
| Time | O(n) |
| Space | O(n) auxiliary |
Pattern: Prefix Sum
Precompute running totals once so any range query becomes a single subtraction. LeetCode 2488. Count Subarrays With Median K is filed here because LeetCode tags it Prefix Sum, which is the vocabulary this hub collects.
The prefix sum guide has the Python template for the pattern and the 157 LeetCode problems that use it.
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Frequently asked questions
- How hard is LeetCode 2488. Count Subarrays With Median K?
- LeetCode 2488. Count Subarrays With Median K is rated Hard on LeetCode.
- What is the time complexity of LeetCode 2488. Count Subarrays With Median K?
- The Python solution on this page runs in O(n).
- What is the space complexity of LeetCode 2488. Count Subarrays With Median K?
- The Python solution on this page uses O(n) auxiliary space.
- What topics does LeetCode 2488. Count Subarrays With Median K cover?
- LeetCode 2488. Count Subarrays With Median K is tagged Array, Hash Table and Prefix Sum on LeetCode.