2D Graph Plotter and Visualizer
DOI:
https://doi.org/10.32628/CSEIT2173173Keywords:
Graphs, Python, Matplotlib, NumpyAbstract
In many fields of science and engineering, we often encounter the problem of solving N linear equations of type x + y and trigonometric equations. All technological, biological and social networks can be represented as graphs. Therefore, graphs are used in the research of new algorithms and protocols based on simulation in various fields of science. We aim to create a python-based graph generator that will draw any type of equation i.e., linear, algebraic, trigonometric and logarithmic on the graph. More importantly, the application is designed to draw multiple graphs on the same canvas and then analyse the results. We have included one more module where user can upload a CSV file consisting of raw and get a desired pie chart, line graph as well as bar graph. Our system mainly focuses on generating a output for a later analysis by downloading the graphs they have plotted.
References
- JULIAN BLANK AND KALYANMOY DEB “Pymoo: Multi-Objective Optimization in Python,” April 27, 2020.
- Vasileios Vlachos, Theodoros Siklafidis, Kyriaki Chantzi “GRATIS: A GRaph Tool for Information Systems Scientists” 2019 IEEE.
- Jun Nie1 Tianying Chen, Hongguang Fu “Dynamic Geometry in Graphing Calculator” 2009 IEE
- Ramesh Chandraa and C. Siva Ram Murthy “A faster algorithm for solving linear algebraic equations on the star graph “ 7 February 2003
- Yu Tang, Jie Mei, “Distributed Algorithms for Solving a Linear Equation Under a Directed Graph”, 2018
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