[코테] 리트코드 정렬 973. K Closest Points to Origin
973. K Closest Points to Origin
문제 링크
https://leetcode.com/problems/k-closest-points-to-origin/description/
문제 설명
Given an array of points where points[i] = [xi, yi] represents a point on the X-Y plane and an integer k, return the k closest points to the origin (0, 0).
The distance between two points on the X-Y plane is the Euclidean distance (i.e., √(x1 - x2)2 + (y1 - y2)2).
You may return the answer in any order. The answer is guaranteed to be unique (except for the order that it is in).
제한 사항
- 1 <= k <= points.length <= 10^4
- -10^4 <= xi, yi <= 10^4
입출력 예 #1
- Input : points = [[1,3],[-2,2]], k = 1
- Output : [[-2,2]]
- Explanation : The distance between (1, 3) and the origin is sqrt(10).
The distance between (-2, 2) and the origin is sqrt(8).
Since sqrt(8) < sqrt(10), (-2, 2) is closer to the origin.
We only want the closest k = 1 points from the origin, so the answer is just [[-2,2]].
입출력 예 #2
- Input : points = [[3,3],[5,-1],[-2,4]], k = 2
- Output : [[3,3],[-2,4]]
- Explanation : The answer [[-2,4],[3,3]] would also be accepted.
문제 풀이
각 배열의 항목의 유클리드 거리 순으로 정렬하고 K개 만큼 출력한다.
- heapq를 이용한 풀이
- 파이썬 정렬을 이용한 풀이
class Solution:
def kClosest(self, points: List[List[int]], k: int) -> List[List[int]]:
heap = []
for (x, y) in points:
dist = x ** 2 + y ** 2
heapq.heappush(heap, (dist, x, y))
result = []
for _ in range(k):
(dist, x, y) = heapq.heappop(heap)
result.append((x, y))
return result
class Solution:
def kClosest(self, points: List[List[int]], k: int) -> List[List[int]]:
return sorted(points, key = lambda x: x[0]**2 + x[1]**2)[:k]
[[3, 3], [-2, 4]]
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