Understanding Matplotlib's architecture
Understanding Matplotlib's architecture Data Science Project
Visualizations with Matplotlib

Understanding Matplotlib's architecture

Learn how to use object-oriented design to create flexible Figures and Axes for precise control in crafting basic plots. This step-by-step guide is suitable for both beginners and experienced analysts, helping you easily create customized visualizations for better insights.
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Understanding Matplotlib's architectureUnderstanding Matplotlib's architecture
Project Created by

Verónica Barraza

Project Activities

All our Data Science projects include bite-sized activities to test your knowledge and practice in an environment with constant feedback.

All our activities include solutions with explanations on how they work and why we chose them.

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Creating a Figure and Axis in Matplotlib

In this exercise, you'll practice creating a basic figure and an axis object using Matplotlib.

You will need to use the subplots function from Matplotlib to create a Figure (fig) and an Axes (ax). This is a crucial first step in any plotting task and sets the stage for adding data and customizing your plot later on.

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Understanding Figures and Axes in Matplotlib

In Matplotlib, what is the difference between a Figure and an Axes?

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Create a Basic Line Plot.

In this activity, you will create a basic figure and a single axis. You will plot a simple line chart, using this data: ([2, 4, 6, 8], [15, 30, 45, 60]). This exercise will help you understand the fundamental steps involved in creating plots in Matplotlib.

Understanding Matplotlib's architectureUnderstanding Matplotlib's architecture
Project Created by

Verónica Barraza

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Visualizations with Matplotlib

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