Register

Speaker: Alex Razoumov (SFU) 

Abstract: Plotly is an open-source visualization library for creating interactive, publication-quality graphs in Python (and other languages), with support for a wide range of plot types. In this workshop, you will learn two ways to use Plotly: the high-level Plotly Express interface for rapid data exploration, and the more flexible Plotly Graph Objects interface for detailed customization. We will explore common plot types -- line, scatter, bar, pie, heatmap -- as well as more advanced and 3D visualizations. You will learn how to display figures using different rendering backends, save them as images, HTML, or JSON files, and view them inside Jupyter Notebook or JupyterHub. We will also learn how to include additional interactive elements such as sliders, buttons, and dropdown menus into your Plotly visualizations.