K Closest Points To Origin
Question
Two bar problem
find best area among ....
""" 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., sqrt((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).
================================================= 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]] Explanation: The answer [[-2,4],[3,3]] would also be accepted.
Constraints:
1 <= k <= points.length <= 10^4 -10^4 < xi, yi < 10^4
"""
Solution
- Full
- Simple
import math
import heapq
def find_closest_points(arr, k):
h = []
for a in arr:
v = math.sqrt(a[0] ** 2 + a[1] ** 2)
#print(v)
heapq.heappush(h, (v, a))
ret = []
for i in range(k):
v, a = heapq.heappop(h)
ret.append(a)
return ret
result = find_closest_points([[1, 3], [-2, 2]], 1)
# print(find_closest_points([[3, 3], [5, -1], [-2, 4]], 2))
#print(result)
Step | v |
---|---|
1 | 3.1622776601683795 |
2 | 2.8284271247461903 |
result |
---|
[[-2, 2]] |
import math
import heapq
def find_closest_points(arr, k):
h = []
for a in arr:
v = math.sqrt(a[0] ** 2 + a[1] ** 2)
#print(v)
heapq.heappush(h, (v, a))
ret = []
for i in range(k):
v, a = heapq.heappop(h)
ret.append(a)
return ret
result = find_closest_points([[1, 3], [-2, 2]], 1)
# print(find_closest_points([[3, 3], [5, -1], [-2, 4]], 2))
#print(result)
Step | v |
---|---|
1 | 3.1622776601683795 |
2 | 2.8284271247461903 |
result |
---|
[[-2, 2]] |