Book Image

Mastering Matplotlib 2.x

By : Benjamin Walter Keller
Book Image

Mastering Matplotlib 2.x

By: Benjamin Walter Keller

Overview of this book

In this book, you’ll get hands-on with customizing your data plots with the help of Matplotlib. You’ll start with customizing plots, making a handful of special-purpose plots, and building 3D plots. You’ll explore non-trivial layouts, Pylab customization, and more about tile configuration. You’ll be able to add text, put lines in plots, and also handle polygons, shapes, and annotations. Non-Cartesian and vector plots are exciting to construct, and you’ll explore them further in this book. You’ll delve into niche plots and visualize ordinal and tabular data. In this book, you’ll be exploring 3D plotting, one of the best features when it comes to 3D data visualization, along with Jupyter Notebook, widgets, and creating movies for enhanced data representation. Geospatial plotting will also be explored. Finally, you’ll learn how to create interactive plots with the help of Jupyter. Learn expert techniques for effective data visualization using Matplotlib 3 and Python with our latest offering -- Matplotlib 3.0 Cookbook

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Table of Contents (7 chapters)
Preface
Preface
Who this book is for
What this book covers
To get the most out of this book
Get in touch
Free Chapter
1
Heavy Customization
Heavy Customization
Customizing PyLab using style
Deep diving into color
Working on non-trivial layouts
The Matplotlib configuration files
Summary
2
Drawing on Plots
Drawing on Plots
Putting lines in place
Adding text on your plots
Playing with polygons and shapes
Versatile annotating
Summary
3
Special Purpose Plots
Special Purpose Plots
Non-Cartesian plots
Plotting vector fields
Statistics with boxes and violins
Visualizing ordinal and tabular data
Summary
4
3D and Geospatial Plots
3D and Geospatial Plots
Plotting with 3D axes
Looking at various 3D plot types
The basemap methods
Plotting on map projections
Adding geography
Summary
5
Interactive Plotting
Interactive Plotting
Interactive plots in the Jupyter Notebook
Event handling with plot callbacks
GUI neutral widgets
Making movies
Summary
6
Other Books You May Enjoy
Other Books You May Enjoy
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Other Books You May Enjoy

If you enjoyed this book, you may be interested in these other books by Packt:

Matplotlib 3.0 Cookbook
Srinivasa Rao Poladi

ISBN: 9781789135718

  • Develop simple to advanced data visualizations in Matplotlib
  • Use the pyplot API to quickly develop and deploy different plots
  • Use object-oriented APIs for maximum flexibility with the customization of figures
  • Develop interactive plots with animation and widgets
  • Use maps for geographical plotting
  • Enrich your visualizations using embedded texts and mathematical expressions
  • Embed Matplotlib plots into other GUIs used for developing applications
  • Use toolkits such as axisartist, axes_grid1, and cartopy to extend the base functionality of Matplotlib

Matplotlib for Python Developers - Second Edition
Aldrin Yim, Claire Chung, Allen Yu

ISBN: 9781788625173

  • Create 2D and 3D static plots such as bar charts, heat maps...
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