Oct 5, 2012 · In Python 2.X and 3.x, heaps are supported through an importable library, heapq. It supplies numerous functions to work with the heap data structure modelled in a Python list.

The heapq module maintains the heap invariant, which is not the same thing as maintaining the actual list object in sorted order. Quoting from the heapq documentation: Heaps are binary …

Python includes the heapq module for min-heaps, but I need a max-heap. What should I use for a max-heap implementation in Python?

Oct 17, 2010 · I wish to hold a heap of objects, not just numbers. They will have an integer attribute in them that the heap can sort by. The easiest way to use heaps in python is heapq, …

Aug 15, 2014 · How can I make such update? The basic steps for updating elements in the heap following the above logic would be: Check dictionary to get the index of the element you want …

May 3, 2011 · What is the official way of peeking in a python heap as created by the heapq libs? Right now I have def heappeak (heap): smallest = heappop (heap) heappush (heap, smallest) …

In python it can be done with the help of a dictionary. update the index of the node in the dictionary every time you perform an operation in the min heap. You should only implement …

The heapq documentation suggests that heap elements could be tuples in which the first element is the priority and defines the sort order. More pertinent to your question, however, is that the …

Feb 10, 2013 · How to maintain dictionary in a heap in python? Asked 12 years, 9 months ago Modified 5 years, 6 months ago Viewed 36k times

python, heapq: difference between heappushpop () and heapreplace () Asked 10 years ago Modified 1 year, 8 months ago Viewed 27k times