Matplotlib Scatter Plot with Distribution Plots (Joint Plot) - Tutorial and Examples

Matplotlib Scatter Plot with Distribution Plots (Joint Plot) - Tutorial and Examples

In this tutorial, we'll learn Matplotlib Scatter Plot with Distribution Plots (Joint Plot) - Tutorial and Examples. Let's explore it with us now.

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 multiple Axes objects, instead of having Seaborn do it for us.

python matplotlib pandas data visualization data science

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