Plotting with Matplotlib; Telling Static, Animated, & Interactive Stories
summary
90-minute tutorial that teaches the Matplotlib object model by building real outputs: exploratory charts from the Palmer Penguins dataset, a linked animation that highlights individual rows, and a converted interactive visualization that responds to selection. Code uses pandas and Matplotlib, runs in notebooks or Colab, and the demo projects complete successfully within the session. Emphasis is on which methods and artist objects change, how many plotting primitives are involved, and concrete save/animation steps.
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chapters (13)
- 0:00Matplotlib introduction
- 1:06Matplotlib object model
- 3:59Setting up the tutorial with Palmer penguin data
- 8:14Figures and axes
- 12:14Artist objects
- 14:26Histogram and heatmap
- 16:57Color bars and labels
- 23:45Subplots and composition
- 26:57Scatter plot and legend
- 31:26Static plotting activity
- 42:55Bar chart customization
- 51:54Animated plots
- 55:14Layering and highlighting
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