Description
https://leetcode.com/problems/missing-ranges/
We have a list of points
on the plane. Find the K
closest points to the origin (0, 0)
.
(Here, the distance between two points on a plane is the Euclidean distance.)
You may return the answer in any order. The answer is guaranteed to be unique (except for the order that it is in.)
Example 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]].
Example 2:
Input: points = [[3,3],[5,-1],[-2,4]], K = 2 Output: [[3,3],[-2,4]] (The answer [[-2,4],[3,3]] would also be accepted.)
Note:
1 <= K <= points.length <= 10000
-10000 < points[i][0] < 10000
-10000 < points[i][1] < 10000
Explanation
use a priority queue
Python Solution
from queue import PriorityQueue
class Solution:
def kClosest(self, points: List[List[int]], K: int) -> List[List[int]]:
results = []
distances = []
distances = PriorityQueue()
for point in points:
distance = sqrt(point[0]**2 + point[1]**2)
distances.put((distance, point))
for i in range(0, K):
results.append(distances.get()[1])
return results
- Time complexity: ~N
- Space complexity: ~N
One Thought to “LeetCode 973. K Closest Points to Origin”