Matplotlib Plotting Cookbook
This book follows a cookbook style approach that puts orthogonal and non-redundant recipes in your hands. Rather than rehashing the user manual, the explanations expose the underlying logic behind Matplotlib. If you are an engineer or scientist who wants to create great visualizations with Python, rather than yet another specialized language, this is the book for you. While there are several very competent plotting packages, Matplotlib is ""just"" a Python module. Thus, if you know some Python …
Read More ↓Title Statements
- Full title :Matplotlib Plotting Cookbook.
Summary
This book follows a cookbook style approach that puts orthogonal and non-redundant recipes in your hands. Rather than rehashing the user manual, the explanations expose the underlying logic behind Matplotlib. If you are an engineer or scientist who wants to create great visualizations with Python, rather than yet another specialized language, this is the book for you. While there are several very competent plotting packages, Matplotlib is ""just"" a Python module. Thus, if you know some Python already, you will feel at home from the first steps on. In case you are an application writer, you wo.
Read More ↓Edition Statements
- Publication Date:2014.
Publication Statements
- Publisher(s):Packt Publishing
- Language:eng
- Publication Date:2014.
The Physical Object
- Description:1 online resource
Edition Identifiers
- ISBN:1306547857, 9781306547857, 9781849513272, 1849513279, 1849513260, 9781849513265
- oclc:ocn875640024
- LC Classification:QA76.73 .P48
- Dewey Decimal:005.13/3
Table of Contents
Cover; Copyright; Credits; About the Author; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 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; Chapter 2: Customizing the Color and Styles; Introduction; Defining your own colors.
Using custom colors for scatter plotsUsing 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 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; Chapter 3: Working with Annotations; Introduction; Adding a title; Using LaTeX-style notations; Adding a label to each axis; Adding text; Adding arrows; Adding a legend.
Adding a gridAdding lines; Add…
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