D1PythonBeginnerAbout 120 min to complete
Matplotlib Fundamentals
Charts that communicate a finding rather than merely displaying data.
Notebook
About 120 minutes to complete
Enrol to read the notebook and download it to run.
What this module covers
Charts that communicate a finding rather than merely displaying data.
By the end of it
- Explain the Figure/Axes hierarchy and why the OO interface beats pyplot state
- Create the core chart types and match each to a question
- Control every element: titles, labels, ticks, limits, legends, annotations
- Build multi-panel figures with subplots
- Apply colour deliberately, including for colour-blind readers
- Annotate charts so the finding is unmissable
- Save figures at publication quality
- Diagnose misleading charts — truncated axes, wrong chart type, chart junk