Data visualization with Python and Matplotlib
courseFurtherInformation
Visualizing your data is important not only for publications, but also to inspect data during the entire research process. If you already use Python, Matplotlib is the way to go for visualisations.
Matplotlib is a comprehensive library for visualizing data and producing high-quality plots, which quickly became the standard for two-dimensional visualizations in the Python world. Its flexible programming interface makes easy plots easy but also allows to create very complex figures. Matplotlib is therefore an excellent tool for the everyday work of scientists, especially if one of their programming languages of choice is Python already.
In this workshop, you will learn how to use Matplotlib for your scientific visualizations. We will look at the various types of plots Matplotlib can generate, how to style and annotate them, and how to export them in various formats. While doing so, we will explain the fundamental anatomy of a Matplotlib figure and give some advice on how to design plots well.
At the end of this workshop you will not only be able to visualize your data, you will also have a tool at hand that lets you do this in a scriptable and, thus, repeatable fashion.
Due to the highly interactive nature of this course, it can only be offered on a face-to-face basis and not as a hybrid course.
The course language is English.
Prerequisites
To take part in this workshop, you should be familiar with the basics of Python. Some experience with Numpy arrays is beneficial but not required.
