Where's My Data? I Need Highlights and Annotations! | Make It Pretty with Matplotlib Part 4
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This is part of the series "Make It Pretty with Matplotlib!"
Making a plot in Python can be quick and easy, but making it pretty… now that's hard.
Do you want to…
make high-quality plots using interfaces attached to tools like pandas, xarray, and seaborn?
effectively communicate a message via data?
make your graphs, charts, and plots pretty?
If so, you're going to want to watch this video!
Abstract
Matplotlib is a popular tool for publication-quality (static) data visualization. The defaults have improved over time, but not all of its functionality is readily apparent to the casual user. In this seminar, we'll cover common tips & tricks for better communicating a message using data by showing you how to make your charts - and your message - stand out. Can we make Matplotlib pretty?
Effective visual communication:
• Showing all of the data
• Overplotting
• Thinking in colors
• Communicative titles