| Description |
1 online resource (1 volume) : illustrations |
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text file |
| Series |
Quick answers to common problems |
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Quick answers to common problems.
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| Note |
Includes index. |
| 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 |
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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 |
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Adding a gridAdding lines; Adding shapes; Controlling ticks' spacing; Controlling ticks labeling; Chapter 4: Working with Figures; Introduction; Compositing multiple figures; Scaling both axes equally; Setting an axis range; Setting the aspect ratio; Inserting subfigures; Using a logarithmic scale; Using polar coordinates; Chapter 5: Working with a File Output; Introduction; Generating a PNG picture file; Handling transparency; Controlling the output resolution; Generating PDF or SVG documents; Handling multiple-page PDF documents; Chapter 6: Working with Maps; Introduction |
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Visualizing the content of a 2D arrayAdding a colormap legend to a figure; Visualizing nonuniform 2D data; Visualizing a 2D scalar field; Visualizing contour lines; Visualizing a 2D vector field; Visualizing the streamlines of a 2D vector field; Chapter 7: Working with 3D Figures; Introduction; Creating 3D scatter plots; Creating 3D curve plots; Plotting a scalar field in 3D; Plotting a parametric 3D surface; Embedding 2D figures in a 3D figure; Creating a 3D bar plot; Chapter 8: User Interface; Introduction; Making a user-controllable plot; Integrating a plot to a Tkinter user interface |
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Integrating a plot to wxWidgets user interfaceIntegrating a plot to GTK user interface; Integrating a plot in a Pyglet application; Index |
| 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 |
| Language |
English. |
| Subject |
Python (Computer program language)
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Charts, diagrams, etc.
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Python (Langage de programmation) |
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Tableaux, graphiques, etc. |
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diagrams. |
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Charts, diagrams, etc. |
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Python (Computer program language) |
| Other Form: |
Print version: Devert, Alexandre. Matplotlib plotting cookbook 9781849513265 (OCoLC)881659734 |
| ISBN |
9781849513272 (electronic bk.) |
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1849513279 (electronic bk.) |
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