Animating NFL Play by Play Data Using Matplotlib's FuncAnimation

Explore the power of data animation in this PyCon US talk by Miranda Auhl. Learn how to transform static plots into engaging animations using matplotlib's FuncAnimation() with NFL play-by-play RFID data from the 2018 season. Discover the importance of animation in data analysis and how it can convey complex information more effectively than static images. Follow along as Auhl demonstrates the process of creating dynamic visualizations, including generating fields, plotting players, and implementing FuncAnimation. Gain insights into the differences between plotting and setting functions, and understand how to use defined functions with your iterative function for successful animations. By the end of this 25-minute presentation, acquire the skills to enhance your data analysis through animated visualizations that build context and tell compelling stories.

Intro
Data Analysis
Visualizations
Generate Field
Plot Players
FuncAnimation
Using FuncAnimation
Plotting vs Setting Functions
FuncAnimation Code