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Speaker: Alex Razoumov (SFU)
Abstract: Plotly is an o
pen-source visualization library for creating interactive\, publication-qu
ality graphs in Python (and other languages)\, with support for a wide ran
ge 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 customizati
on. We will explore common plot types -- line\, scatter\, bar\, pie\, heat
map -- as well as more advanced and 3D visualizations. You will learn how
to display figures using different rendering backends\, save them as image
s\, HTML\, or JSON files\, and view them inside Jupyter Notebook or Jupyte
rHub. We will also learn how to include additional interactive elements su
ch as sliders\, buttons\, and dropdown menus into your Plotly visualizatio
ns.