Python Graphics
A Reference for Creating 2D and 3D Images
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Beschreibung
Use Python's built-in features to create innovative graphics for data visualization and technical illustrations. This book goes beyond simple commands and libraries to explain how to not only display but also rotate, shade, and edit graphics for any purpose.
Starting with the essential Python functions to set up a plotting space and produce 2 and 3-dimensional objects, you'll learn how to construct more complex objects, translate and rotate them, remove hidden lines, introduce shading to add realism, and project images to visualize any dataset. The final chapter includes several worked applications in science and engineering including planetary models, which you can adapt for your own use.
Written for developers who want to harness Python's capabilities to fine-tune their images, Python Graphics covers the different commands for plotting dots, lines, arrows, or arcs, creating custom plotting grids, correcting distortions, adding text and labels to illustrations, manipulating arcs and circles, specify and use colors, and more. Armed with these techniques and core math skills, you'll be ready to create and customize detailed technical illustrations or data visualizations.
This book will show you how to use Python to create graphic objects for technical illustrations and data visualization. Often, the function you need to produce the image you want cannot be found in a standard Python library. Knowing how to create your own graphics will free you from the chore of looking for a function that may not exist or be difficult to use. This book will give you the tools to eliminate that process and create and customize your own graphics to satisfy your own unique requirements. Using basic geometry and trigonometry, you will learn how to create math models of 2D and 3D shapes. Using Python, you will then learn how to project these objects onto the screen of your monitor, translate and rotate them in 2D and 3D, remove hidden lines, add shading, view in perspective, view intersections between surfaces, and display shadows cast from one object onto another. You will also learn how to visualize and analyze 2D and 3D data sets, fit lines, splines and functions. The final chapter includes demonstrations from quantum mechanics, astronomy and climate science. Includes Python programs written in a clear and open style with detailed explanation of the code.What You Will LearnHow to create math and Python models of 2D and 3D shapes.How to rotate, view in perspective, shade, remove hidden lines, display projected shadows, and more.How to analyze and display data sets as curves and surfaces, fit lines and functions.Who This Book Is ForPython developers, scientists, engineers, and students using Python to produce technical illustrations, display and analyze data sets. Assumes familiarity with vectors, matrices, geometry and trigonometry.
Goes beyond basic Python commands to create, edit, and customize 2D or 3D graphics
Shows how to create data visualizations or technical illustrations with built-in Python features
Includes examples of science and engineering applications
Autor*in
B.J. Korites
Themen in »Python Graphics«
Python Graphics Graphics programming Vectors Matrices 2-dimensional computer graphics 3-dimensional computer graphics 3D graphics Shading Curve Fitting Surface Regression Surface Patches Stereographic Transformations Images