Plot.ly for scientific visualization

January 30^th, 10:00am–12:00pm Pacific Time

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, and heatmap – as well as more advanced and 3D visualizations. You will learn how to display figures using different rendering backends, save them as image or HTML files, and view them inside Jupyter notebooks. Finally, we will take a look at Plotly Dash, a framework for building interactive data web applications with sliders, buttons, dropdown menus and other interactive elements.

Instructor: Alex Razoumov (SFU)

Prerequisites: Some knowledge of Python.