VisDaS

Visualizing Data Structure

A python package for visualizing data structures and its contents

Data structures form an essential part of computer science. A data structure helps in organizing, managing and storing data in a computer for efficient access and modification.

Visualization of data structure makes it easy to understand the data structure and how elements of that data structure are connected to each other.

This package helps in providing an easy way to get an image of visualization of the data structure and its elements. You can also perform basic operations on your array to understand the result of the function

It provides a way to visualize the contents of data structure and how the elements of data structure are related to each other.

The package currently supports visualization of following data structures :

• Array

Examples of How To Use

from visdas import Array

arr = Array([10,15,20,25])
arr.insert(30)
arr.generate("array.png")

array.png

Function Description

Array

• get()

  Returns the array

  arr = Array([100,200,300])
  print(arr.get())
  

• insert(element,index)

  Inserts an element at given index. If the index is not specified then it appends the element to end of array.

  arr = Array()
  arr.insert(30)
  # Appends 30 to end of array
  print(arr.get())
  # [30]
  arr.insert(0,10)
  # Inserts 10 at the index 0 of array
  print(arr.get())
  # [10,30]
  

• remove(element)

  Removes the first occurence of an element from the array

  arr = Array([10,20,30,40])
  arr.remove(30)
  # Removes the first occurence of 30 
  print(arr.get())
  # [10,20,40]
  

• len()

  Returns the length of array

  arr = Array([12,14,16])
  print(arr.len())
  # 3
  

• generate()

  Generates the image of array with specifies parameters

  arr = Array([12,14,16])
  arr.generate("myArray.png","black","white")