Code Explanation:
1. Importing the Required Library
import heapq
heapq is a Python library that provides efficient heap operations.
The heapq.nsmallest() function is used to find the k smallest elements from a list based on a specific key.
2. Defining the Function
def k_closest(points, k):
distance = lambda x: x[0]**2 + x[1]**2
return heapq.nsmallest(k, points, key=distance)
points: List of coordinates representing points on a 2D plane.
k: Number of closest points to find.
distance: A lambda function that calculates the Euclidean distance squared from the origin using the
heapq.nsmallest(): Returns the k closest points based on their calculated distances.
3. Applying heapq.nsmallest()
The function finds the two closest points by comparing the distances:
(3,3) → Distance = 18
(-2,4) → Distance = 20
(5,-1) → Distance = 26
The two points with the smallest distances are (3,3) and (-2,4).
4.Final Output
print(k_closest([[3,3],[5,-1],[-2,4]], 2)) # Output?
The output is:
[[3,3], [-2,4]]
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