Find All Numbers Disappeared in an Array — LeetCode 448 Python Solution
- Problem
- #448
- Pattern
- Hash Map
- Reading time
- 2 min
- Source
- leetcode.com
The problem
Given an array nums of n integers where nums[i] is in the range [1, n], return an array of all the integers in the range [1, n] that do not appear in nums.
Example
- Input
- nums = [4,3,2,7,8,2,3,1]
- Output
- [5,6]
Python solution
class Solution:
def findDisappearedNumbers(self, nums: List[int]) -> List[int]:
s = set(nums)
return [x for x in range(1, len(nums) + 1) if x not in s]Complexity
| Measure | Complexity |
|---|---|
| Time | O(n) |
| Space | O(n) auxiliary |
Pattern: Hash Map
Trade memory for time: remember what you have seen so the second pass never happens. LeetCode 448. Find All Numbers Disappeared in an Array is filed here on both counts: the reference solution below belongs to the algorithm family this hub collects, and LeetCode tags it Hash Table.
The hash map guide has the Python template for the pattern and the 709 LeetCode problems that use it.
Related problems
Frequently asked questions
- How hard is LeetCode 448. Find All Numbers Disappeared in an Array?
- LeetCode 448. Find All Numbers Disappeared in an Array is rated Easy on LeetCode.
- What is the time complexity of LeetCode 448. Find All Numbers Disappeared in an Array?
- The Python solution on this page runs in O(n).
- What is the space complexity of LeetCode 448. Find All Numbers Disappeared in an Array?
- The Python solution on this page uses O(n) auxiliary space.
- What topics does LeetCode 448. Find All Numbers Disappeared in an Array cover?
- LeetCode 448. Find All Numbers Disappeared in an Array is tagged Array and Hash Table on LeetCode.