Python can be used to analyse or create large datasets. Visualising these datasets in plots can help you to understand them and to communicate their meaning to others, both of which are vital for good research. Using the Matplotlib package is the most common way to create plots in Python. It is a very powerful and versatile package which can work with a variety of types of data to produce many types of customisable figures.

This course aims to introduce the basic features of Matplotlib and to give students experience of producing plots. The tutor will provide explanations and demonstrate interactive examples before students complete exercises independently using the techniques which have just been demonstrated. Students will also be able to take the examples from these course materials to use them as templates in future projects.

Syllabus:

• Overview and the Matplotlib Gallery
• Plot types - discrete data
• Plot types - continuous data
• Plotting data with two dimensions
• Customising plots
• Multiple plots
• Saving plots
• Extended projects

Learning outcomes:

After completing this workshop, you will be better able to:

• Understand how to use example codes to create high-quality figures for your publications and thesis
• Create and export a variety of plots using matplotlib
• Represent multiple data series efficiently on a single plot
• Customise the appearance of plots and generate subplots in one figure 

Dates & Booking Information

There are no further sessions taking place this academic year. Course dates for 2024-25 will be available to book from late September.

To book your place, please follow the booking process advertised on the main programme page