The figure and axes object model, and taking one chart all the way to publishable.
Before this guide: NumPy, Deep Dive.
The notebooks
None of these notebooks is written yet. This is the plan, in reading order.
| 1 | Figure and AxesThe object model, instead of pyplot as magic | not yet written |
| 2 | Your First Plotplot, and understanding what each call returned | not yet written |
| 3 | Lines and ScatterThe two workhorses, and when each one lies | not yet written |
| 4 | Bars and HistogramsCategorical and distributional, and bin choice as a decision | not yet written |
| 5 | Multiple Axessubplots, shared scales, and a grid that reads | not yet written |
| 6 | LabelsTitles, axis labels, and the units you left off | not yet written |
| 7 | TicksLocators, formatters, and putting dates on an axis | not yet written |
| 8 | ColorA validated palette, and why the default is not one | not yet written |
| 9 | AnnotationText, arrows, and pointing at the thing that matters | not yet written |
| 10 | StylercParams and stylesheets, for consistency without repetition | not yet written |
| 11 | Savingdpi, vector against raster, and a size that survives a document | not yet written |
| 12 | A Chart You Would PublishOne figure taken all the way to finished | not yet written |