Build Your First Data Visualization with Matplotlib
Learn how Matplotlib enables you to create clear and compelling data visualizations in Python.
What you'll learn
Matplotlib enables users to create clear and compelling data visualizations in Python. In this course, Build Your First Data Visualization with Matplotlib, you’ll learn how one of the most popular packages of Python can be used to create state of the art data visualizations. First, you’ll see how to get an optimal user interface which includes Python, Jupyter Notebook and the required libraries Matplotlib, Pandas and Numpy. Next, you’ll discover the standard code setup in Matplotlib Pyplot and how it can be adjusted. After that, you'll explore how different chart types are created and formatted. As far as formatting is concerned, you'll look at text elements, axes, legends, markers and ready made style sheets, as well as the optimal data preparation steps required for particular data visualization types. Finally, you’ll learn about shared axis plots and sheet layouts which are handy for reports and presentations.. When you’re finished with this course, you’ll have the knowledge to understand the general structure of the Matplotlib library and how it helps you in data analysis.
Table of contents
- Introduction: Modifying a Matplotlib Visualization 2m
- Plot Types and the Underlying Calculations 9m
- Shared Axis Plots 5m
- Simple Formatting Techniques 8m
- Applying Ready-made Style Sheets 3m
- Adding Labels and Calculating Their Positions 4m
- Constructing the Layout and Featuring Multiple Plots 6m
- Course Summary 2m