Matplotlib Fundamentals | Subplots

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In this video, you’ll learn how to create and customize subplots using Matplotlib in Python. We’ll cover setting up multiple plots within a single figure, sharing axes, labeling your plots, and organizing your data for clear visual comparison. You’ll also see how to work with both the object-oriented and procedural interfaces, and how to generate multiple figures for separate visualizations. By the end, you’ll be able to present complex datasets with clarity and flexibility using Matplotlib subplots.

To start learning without installing Python locally, use Google Colab.

Table of Contents:

0:00 Introduction to Subplots and When to Use Them
0:26 Importing Libraries and Preparing Data
1:28 Creating a Basic Subplot with Matplotlib
2:07 Understanding Figure and Axes Objects
2:14 Plotting Data Using the Axes Object
3:15 Adding Labels, Titles, and Legends
4:42 Creating Multiple Subplots (Rows and Columns)
5:06 Plotting Data to Multiple Subplots
6:11 Adjusting Axis Labels and Titles for Multiple Subplots
7:11 Improving Readability with Rotated Ticks and Tight Layout
8:34 Sharing Axes and Creating a Common Title
10:11 Creating Separate Figures for Different Visualizations
12:34 Final Overview

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