- matplotlib Plotting Cookbook
- Alexandre Devert
- 197字
- 2021-07-16 12:16:22
What this book covers
Chapter 1, First Steps, introduces the basics of working with matplotlib. The basic figure types are introduced with minimal examples.
Chapter 2, Customizing the Color and Styles, covers how to control the color and style of a figure—this includes markers, line thickness, line patterns, and using color maps to color a figure several items.
Chapter 3, Working with Annotations, covers how to annotate a figure—this includes adding an axis legend, arrows, text boxes, and shapes.
Chapter 4, Working with Figures, covers how to prepare a complex figure—this includes compositing several figures, controlling the aspect ratio, axis range, and the coordinate system.
Chapter 5, Working with a File Output, covers output to files, either in bitmap or vector formats. Issues like transparency, resolution, and multiple pages are studied in detail.
Chapter 6, Working with Maps, covers plotting matrix-like data—this includes maps, quiver plots, and stream plots.
Chapter 7, Working with 3D Figures, covers 3D plots—this includes scatter plots, line plots, surface plots, and bar charts.
Chapter 8, User Interface, covers a set of user interface integration solutions, ranging from simple and minimalist to sophisticated.
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