Matplotlib Scatter Plot with Distribution Plots (Joint Plot) – Tutorial and Examples
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Introduction
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 a Joint Plot in Matplotlib which consists of a Scatter Plot and multiple Distribution Plots on the same Figure
.
Joint Plots are used to explore relationships between bivariate data, as well as their distributions at the same time.
Note: This sort of task is much more fit for libraries such as Seaborn, which has a built-in jointplot()
function. With Matplotlib, we’ll construct a Joint Plot manually, using GridSpec
and