GraphVec

A Python-based Vector library that allows the user to perform a variety of calculations, including the abitily to visualize vectors with mathplotlib.

Features

• Vector class: custom vector class object that allows you to perform basic operations that you would expect from any other types.
• GraphVector class: used to graph the custom defined vector objects using mathplotlib.

Table of Contents

• Installation
• Usage
• Operations
• License

Installation

1. Clone or download the repository containing the code.

2. Make sure you have Python 3 installed on your system and matplotlib is supported(is installed).

3. If you want to run the program on your local machine, just import the GraphVec.py script.

   import GraphVec.py

Usage

1. Once the script is imported, you'll be able to create a vector object using:

   • x = Vector((p1x,p1y),(p2x,p2y)) where p1 and p2 are defined with their x and y components.

2. Graph the vectors by puttting them into a list or dictionary and into the GraphVector object.

   • Graphvector(vectors = [], dict = {})

Operations

This library allows you to add two custom created vector objects.

using the Vector(p1,p2) object

1. Addition (+): Add two vectors.
2. Subtraction (-): Subtract two vectors.
3. Multiplication (*): Multiply the x and y component of the vector to a scalar.
4. Division (/): Divide the x and y components of the vector to a scalar.

using the GraphVector object

1. Visualization of vectors from a list you can create a list containing vectors like this:

   k = Vector((1,1),(2,2))
   vectors = [Vector((0,0),(1,1)),k]
   GraphVector(vectors)
   

2. Visualization of vectors from a list you can create a dictionary containing vectors like this:

   k = Vector((1,1),(2,2))
   vectors = {'A':Vector((0,0),(1,1)),
               'k':k}
   GraphVector(dict = vectors)
   

Update

• A console based interaction to this library in the Console_GraphVec.py file.

License

This project is licensed under the MIT License - see the LICENSE file for details.