Course materials on visualization with Python
- Links to Gallery
- Basic Examples
- Data Preperation
- Scatter and Line Plot (colored, labeled)
- Annotation
- Visualization
- Layout
- Save (interactive/static)
- revert axis
- pdf output
- ggplot: Labels
| Package | Data | Main Object | Interactive |
|---|---|---|---|
| Altair | DataFrame | Glyph | Minimal |
| Bokeh | Variable | Figure | Yes |
| ggplot | DataFrame | Figure + Glyph | No |
| HoloViews | Variable | Glyph | Bokeh, ... |
| hvPlot | DataFrame | Glyph | Bokeh, ... |
| Matplotlib | Direct | Figure | No |
| Plotly | Variable | Figure | Yes |
| Seaborn | DataFrame | ? | No |
YouTube: Jake VanderPlas - How to Think about Data Visualization - PyCon 2019