NumPy | Python Methods and Functions

We implement a heap sort here, call it on random lists of different sizes, measure the time it takes for different sizes, and generate a plot of input size versus time.

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Output:

Input: Unsorted Lists of Different sizes are Generated Randomly Output: 1000 Elements Sorted by HeapSort in 0.023797415087301488 2000 Elements Sorted by HeapSort in 0.053856713614550245 3000 Elements Sorted by HeapSort in 0.08474737185133563 4000 Elements Sorted by HeapSort in 0.18377866 0.1658182863213824 6000 Elements Sorted by HeapSort in 0.1875901601906662 7000 Elements Sorted by HeapSort in 0.21982946862249264 8000 Elements Sorted by HeapSort in 0.2724293921580738 9000 Elements Sorted by HeapSort in 0.30996 Complexity PLot. python.engineering/wp-content/uploads/Heap-Sort-300x202.png "alt =" "width =" 300 "height =" 202 "class ="alignnone size-medium wp-image-567725 amp-wp-enforced- sizes "layout =" intrinsic ">

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