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Sorting Visualization

Latest Update

  • Add three more sorting algorithms: CombSort, RadixSort, MonkeySort
  • Now you can record the whole sorting procedure to *avi videos.
  • Adding -r in command line can get you Re-sampled data.
  • Adding -s in command line can get you Sparse data.

Introduction

This repository is a demo of visualizing 12 types of Sorting Algorithms. It aims to make Sorting Algorithms easier for programmers to understand. Also, you can see the difference of Time Complexity between different sorting algorithms.

Sorting Algorithm AverageTime Complexity Bad Time Complexity Stability
Bubble Sort O(N^2) O(N^2) YES
Insertion Sort O(N^2) O(N^2) YES
Shell Sort O(N^5/4) O(N^2) NO
Selection Sort O(N^2) O(n^2) NO
Heap Sort O(NlogN) O(NlogN) NO
Merge Sort O(NlogN) O(NlogN) YES
Quick Sort O(NlogN) O(N^2) NO
Bucket Sort O(N) O(N) YES
Cycle Sort O(N) O(N^2) NO
Comb Sort O(N^2) O(N^2) NO
Radix Sort O(N) O(N) YES
Monkey Sort O(N!) O(N!) YES

Demos

Dependencies

  • python3.x
  • cv2
  • numpy

Quick Start

  1. Check all dependencies installed

    This command can help you install all the dependent packages

    pip install -r requirements.txt

  2. Clone this repository

    git clone [email protected]:ZQPei/Sort_Visualization.git

  3. Start

    python main.py -l 512 -t BubbleSort

    • -l --length: Array Length
    • -t --sort-type: Sorting Type. Default type is BubbleSort
      • BubbleSort
      • InsertionSort
      • ShellSort
      • SelectionSort
      • HeapSort
      • MergeSort
      • QuickSort
      • BucketSort
      • CycleSort
      • CombSort
      • RadixSort(LSD)
      • MonkeySort
    • -i --interval: Time Interval of next frame
    • -r --resample: Get Resampled Array
    • -s --sparse: Sparse Array
    • -n --no-record: Don't record to *.avi video!

May you have fun!

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Visualize 12 classic sorting algorithms via opencv-python

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