Description:

Did you attempt to plot your data, and something went beautifully wrong? Did you end up with 50 colorbars or a figure worthy of hanging in the Museum of Modern Art? We have all been there. This session is dedicated to Python visualizations that went wrong and how to debug and solve such issues. Plotting mistakes covered in this session include and are not limited to: colorbars, color schemes, legends, titles, subplots, or unintentionally busy figures. The goal of this session is to share our mistakes, walk through how we solved the issue, and explore best practices when facing pitfalls.

We’re especially interested in submissions from individuals willing to present “before” and “after” talks and posters, to showcase their efforts in wrestling with tough visualization challenges.