Matplotlib Stack Plot – Tutorial and Examples
There are many data visualization libraries in Python, yet Matplotlib is the most popular library out of all of them. Matplotlib’s popularity is due to its reliability and utility – it’s able to create both simple and complex plots with little code. You can also customize the plots in a variety of ways.
In this tutorial, we’ll cover how to plot Stack Plots in Matplotlib.
Stack Plots are used to plot linear data, in a vertical order, stacking each linear plot on another. Typically, they’re used to generate cumulative plots.
We’ll be using a dataset on Covid-19 vaccinations, from Our World in Data, specifically, the dataset that contains the cumulative vaccinations per country.
We’ll begin by importing all the libraries that we need. We’ll import Pandas to read and parse the dataset, Numpy to generate values for