Python for Data Visualization
An examination of some of the Python packages that support data visualization for various use cases, providing both a general discussion of capabilities and multiple code examples demonstrating specific functionality. This lecture will address the generation of both static images suitable for inclusion in publications and presentations, and interactive data visualizations useful for exploring complex datasets and steering computations. Packages examined include matplotlib, pandas, seaborn, plotnine, bokeh, plotly, and possibly others.
Introduction: 0:00
Matplotlib: 5:19
Packages using Matplotlib: 14:28
Interactive Data Visualization: 25:31
Bokeh & Plotly: 27:34
Volumetric 3D Visualization: 43:17
Domain-Specific Tools: 48:35
Conclusions and Additional Examples: 51:13
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