Authors: Mathabo Malange, Phangoxolo Sishuba

3.6. Data Visualisation

There are many packages in Python that allow one to perform powerful data analysis. Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python. Matplotlib makes easy things easy and hard things possible. It is a 2D graphics package used, across user interfaces and operating systems, for application development, interactive scripting, publication-quality image generation, in IPython shells and Jupyter notebook, web application servers, and in graphical user interface toolkits [Hunter, 2007]. With Matplotlib, we are able to

Matplotlib is organised into a hierarchy. At the top of the hierarchy, there is a library called pyplot (import matplotlib.pyplot as plt). We call pyplot to create a figure. The figure keeps track of all the child Axes, artists (titles, figure legends, etc), and the canvas.

import matplotlib.pyplot as plt

plt.plot([0, 1], [0, 1])