You can see that the heapify() function transformed the input list and made it a heap. # heapify() SyntaxĬheck out heapq heapify() example. This function accepts an arbitrary list and converts it to a heap. heappushpop() added 999 and removed 40 from heap 4. heappushpop() added 99 and removed 30 from heapī. The output is: Step-5: Adding & removing items from heap.Ī. heappop() removed ".format(new_item, out, heap)) Print("Step-4: Removing items from heap.") You need to append this code to the previous heappush() example. Moreover, it also ensures that the next lowest replaces this position: # heappop() SyntaxĬheck out heapq heappop() example. It is used to remove the smallest item that stays at index 0. And it pushed that at 0th position by shifting the previous value to 1st index. We added a new lower value using the heappush() function. You can observe that heap kept the smallest item at the 0th index. This code results in the following: Step-1: Seed data for the heap: # Adding another smaller item to the heap # Printing heap content to see if the smallest item is at 0th index # Demonstrating heapq.heappush() function Print("Step-2: Randomize the seed data: ", init_list) Print("Step-1: Seed data for the heap: ", init_list) # heappush() SyntaxĬheck out below heapq heappush() example. That is how you can ensure the elements are in the desired order. Don’t apply it on any old list, instead use the one that you built using Heap functions. The heapq module has the following methods: 1. Let’s now check out what functions does this module provide.
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