Matplotlib for Publications
Date: 8 November 2023
Matplotlib is among the most popular and advanced function libraries for the production of journal-quality data visualisations, with extensive, often under-utilised resources to make figures both richer in content and easier on the eye. In this course, participants will learn the finer details of producing figures for publication with Matplotlib, including tips on:
- how to choose plot types based on the quantity and distribution of data
- how to legibly display multiple sets of data or models on the same plot, and customise cycling through distinguishing features
- how (and why) to choose fonts and colors to accommodate common visual impairments
- how to customise axis label formats and tick locations
- how to standardise plot settings with rcparams.
For more information and access to registration visit:
Matplotlib for-publications