S4-Matplotlib_Computational_Physics_.pdf
- 1. Programa de Física Docente: Carlos Andrés Vidal Betancourt Física Computacional I S4 – Matplotlib
- 2. Overview Matplotlib is a library for making 2D plots in Python. It is designed with the philosophy that you should be able to create simple plots with just a few commands.
- 3. … a quote …
- 4. Matplotlib
- 5. Beginners - Handout Choose Matplotlib offers several kinds of plots.
- 7. Beginners - Handout Tweak You can modify pretty much anything in a plot, including limits, colors, markers, line width and styles, ticks and ticks labels, titles, etc.
- 8. Beginners - Handout Organize You can plot several data on the same figure, but you can also split a figure in several subplots (named Axes)
- 9. Beginners - Handout Label (everything) Explore Save (bitmap or vector format) Figures are shown with a graphical user interface that allows to zoom and pan the figure, to navigate between the different views and to show the value under the mouse.
- 10. Intermediate users A matplotlib figure is composed of a hierarchy of elements that forms the actual figure. Each element can be modified.
- 15. Intermediate users Consider a square figure to be included in a two-column A4 paper with 2 cm margins on each side and a column separation of 1cm. The width of a figure is (21-2*2-1)/2 =8cm. One inch being 2.54 cm, figure size should be 3.15×3.15 in Any color can be used, but Matplotlib offers sets of colors
- 21. Advanced plots Polar bar plot
- 22. Advanced plots 3D surface (Colormap)
- 28. Tips & tricks Scatter plots can be enhanced by using transparency (alpha) to show areas with higher density. Multiple scatter plots can be used to delineate a frontier. If your figure has many graphical elements, such as a huge scatter, you can rasterize them to save memory and keep other elements in vector format.
- 29. You can use colormap to pick from a range of continuous colors. Use the Agg backend to render a figure directly in an array. Tips & tricks
- 30. You can plot several lines at once using None as separator. Use text outline to make text more visible. Tips & tricks
- 31. You can use overlaid axes with different projections. To have rounded dotted lines, use a custom linestyle and modify dash_capstyle. Tips & tricks
- 32. You can adjust a colorbar’s size when adding it. You can use a condensed font such as Roboto Condensed to save space on tick labels. Tips & tricks
- 33. Once your figure is finished, you can call tight_layout() to remove white margins. If there are remaining margins, you can use the pdfcrop utility (which comes with TeX live). You can achieve a nice visual effect with thick hatch patterns. https://matplotlib.org/stable/users/index Tips & tricks