Description

Introduction

This updated 2022 edition of the “Matplotlib for Data Visualization with Python” course provides an in-depth exploration of Matplotlib, one of the most widely used libraries for data visualization in Python. Participants will learn how to create a variety of static, animated, and interactive visualizations, enabling them to represent data effectively and communicate insights through graphs and charts. The course includes hands-on exercises to master the use of Matplotlib for visual storytelling with data.

Prerequisites

1. Basic Knowledge of Python – Familiarity with Python programming and its syntax.
2. Basic Understanding of Data Structures – Understanding of lists, dictionaries, and other common Python data structures.
3. Interest in Data Visualization – A desire to enhance your skills in presenting data insights visually.

Table of Contents

1. Introduction to Matplotlib

• 1.1 What is Matplotlib?
• 1.2 Setting Up Matplotlib in Python
• 1.3 Understanding Matplotlib’s Core Structure

2. Basic Plotting with Matplotlib

• 2.1 Creating Simple Line Plots
• 2.2 Customizing Plot Appearance (Title, Labels, Gridlines)
• 2.3 Plotting Multiple Lines and Subplots

3. Advanced Plotting Techniques

• 3.1 Scatter Plots and Histograms
• 3.2 Bar Plots, Stacked Bar Plots, and Pie Charts
• 3.3 Customizing Plot Axes, Ticks, and Labels

4. Data Visualization with Different Plot Types

• 4.1 Heatmaps and Contour Plots
• 4.2 Box Plots and Violin Plots
• 4.3 3D Plots with Matplotlib

5. Animations and Interactive Plots

• 5.1 Creating Basic Animations
• 5.2 Using Matplotlib’s Animation Framework
• 5.3 Integrating Matplotlib with Interactive Widgets

6. Plotting Time Series Data

• 6.1 Plotting Dates and Times on the X-Axis
• 6.2 Handling Time Series Data with Pandas
• 6.3 Customizing Time Series Plots

7. Combining Matplotlib with Other Visualization Libraries

• 7.1 Integrating Matplotlib with Seaborn
• 7.2 Combining Matplotlib with Pandas for Data Analysis
• 7.3 Advanced Visualizations with Plotly and Matplotlib

8. Exporting and Sharing Visualizations

• 8.1 Saving Plots as PNG, PDF, and SVG
• 8.2 Sharing Visualizations in Web Applications
• 8.3 Preparing Plots for Publication and Presentation

Conclusion

“Matplotlib for Data Visualization with Python – 2022 Edition” offers comprehensive training on using Matplotlib for a variety of visualizations. The course focuses on creating visually appealing and insightful plots, enabling learners to present data effectively in professional and academic settings. By the end of the course, participants will be able to confidently visualize data and communicate findings with clarity and impact.