Files
hello-algo/en/codes/python/chapter_heap/top_k.py
Yudong Jin 14c314c08c Retranslate the complete English edition from Simplified Chinese (#2010)
* Retranslate the complete English edition from Simplified Chinese

* Polish three English explanations after reader-focused review
2026-10-31 03:35:51 +08:00

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Python

"""
File: top_k.py
Created Time: 2023-06-10
Author: krahets (krahets@163.com)
"""
import sys
from pathlib import Path
sys.path.append(str(Path(__file__).parent.parent))
from modules import print_heap
import heapq
def top_k_heap(nums: list[int], k: int) -> list[int]:
"""Use a heap to find the k largest elements in an array"""
# Initialize a min heap
heap = []
# Push the first k array elements onto the heap
for i in range(k):
heapq.heappush(heap, nums[i])
# Starting with element k+1, keep the heap size at k
for i in range(k, len(nums)):
# If the current element is larger than the heap top, pop the top element and push the current element
if nums[i] > heap[0]:
heapq.heappop(heap)
heapq.heappush(heap, nums[i])
return heap
"""Driver code"""
if __name__ == "__main__":
nums = [1, 7, 6, 3, 2]
k = 3
res = top_k_heap(nums, k)
print(f"The {k} largest elements are")
print_heap(res)