Book description
Discover how easy it can be to create great scientific visualizations with Python. This cookbook includes over sixty matplotlib recipes together with clarifying explanations to ensure you can produce plots of high quality.
In Detail
matplotlib is part of the Scientific Python modules collection. matplotlib provides a large library of customizable plots and a comprehensive set of backends. It tries to make easy things easy and hard things possible. You can generate plots, add dimensions to the plots, and also make the plots interactive with just a few lines of code with matplotlib. Also, matplotlib integrates well with all common GUI modules.
This book is a head-first, hands-on journey into matplotlib, the complete and definite plotting package for Python. You will learn about the basic plots, how to customize them, and combine them to make sophisticated figures. Along with basic plots, you will also learn to make professional scientific plots.
In this book, you will start with the common figures that are offered by most plotting packages. You will learn how to add annotations, and play with styles, colors, scales, and shapes so that you can add personality and visual punch to your graphics. You will also see how to combine several graphics. With this book you will learn how to create sophisticated visualizations with simple code. Finally, you can make your plots interactive.
After reading "matplotlib Plotting Cookbook", you will be able to create the highest quality plots.
What You Will Learn
- Discover how to create all the common plots you need
- Enrich your plots with annotations and sophisticated legends
- Take control of your plots and master colors, linestyle, and scales
- Add a dimension to your plots and go 3D
- Integrate your graphics into your applications
- Automate your work and generate a large batch of graphics
- Create interactive plots with matplotlib
- Combine your plots to create sophisticated visualizations
Table of contents
-
matplotlib Plotting Cookbook
- Table of Contents
- matplotlib Plotting Cookbook
- Credits
- About the Author
- About the Reviewers
- www.PacktPub.com
- Preface
-
1. First Steps
- Introduction
- Installing matplotlib
- Plotting one curve
- Using NumPy
- Plotting multiple curves
- Plotting curves from file data
- Plotting points
- Plotting bar charts
- Plotting multiple bar charts
- Plotting stacked bar charts
- Plotting back-to-back bar charts
- Plotting pie charts
- Plotting histograms
- Plotting boxplots
- Plotting triangulations
-
2. Customizing the Color and Styles
- Introduction
- Defining your own colors
- Using custom colors for scatter plots
- Using custom colors for bar charts
- Using custom colors for pie charts
- Using custom colors for boxplots
- Using colormaps for scatter plots
- Using colormaps for bar charts
- Controlling a line pattern and thickness
- Controlling a fill pattern
- Controlling a marker's style
- Controlling a marker's size
- Creating your own markers
- Getting more control over markers
- Creating your own color scheme
- 3. Working with Annotations
- 4. Working with Figures
- 5. Working with a File Output
- 6. Working with Maps
- 7. Working with 3D Figures
- 8. User Interface
- Index
Product information
- Title: matplotlib Plotting Cookbook
- Author(s):
- Release date: March 2014
- Publisher(s): Packt Publishing
- ISBN: 9781849513265
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