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You're reading from  Mastering matplotlib

Product typeBook
Published inJun 2015
Reading LevelIntermediate
Publisher
ISBN-139781783987542
Edition1st Edition
Languages
Python
Tools
Matplotlib
Concepts
Data Visualization
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Authors (2):
Duncan M. McGreggor
Duncan M. McGreggor
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Duncan M. McGreggor

Duncan M. McGreggor, having programmed with GOTOs in the 1980s, has made up for that through community service by making open source contributions for more than 20 years. He has spent a major part of the past 10 years dealing with distributed and scientific computing (in languages ranging from Python, Common Lisp, and Julia to Clojure and Lisp Flavored Erlang). In the 1990s, after serving as a linguist in the US Army, he spent considerable time working on projects related to MATLAB and Mathematica, which was a part of his physics and maths studies at the university. Since the mid 2000s, matplotlib and NumPy have figured prominently in many of the interesting problems that he has solved for his customers. With the most recent addition of the IPython Notebook, matplotlib and the suite of the Python scientific computing libraries remain some of his most important professional tools.
Read more about Duncan M. McGreggor

Duncan M McGreggor
Duncan M McGreggor
author image
Duncan M McGreggor

Duncan M. McGreggor, having programmed with GOTOs in the 1980s, has made up for that through community service by making open source contributions for more than 20 years. He has spent a major part of the past 10 years dealing with distributed and scientific computing (in languages ranging from Python, Common Lisp, and Julia to Clojure and Lisp Flavored Erlang). In the 1990s, after serving as a linguist in the US Army, he spent considerable time working on projects related to MATLAB and Mathematica, which was a part of his physics and maths studies at the university. Since the mid 2000s, matplotlib and NumPy have figured prominently in many of the interesting problems that he has solved for his customers. With the most recent addition of the IPython Notebook, matplotlib and the suite of the Python scientific computing libraries remain some of his most important professional tools.
Read more about Duncan M McGreggor

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The intermediate matplotlib user

If you've read the preface, then you know who this book is for—developers with intermediate or advanced knowledge of matplotlib as well as the motivated beginners. But who are they exactly? What do such users know?

Answers to such questions are fairly open-ended. We have the following guidelines. The intermediate matplotlib user should have some limited knowledge to passing experience with the following:

  • Installation of matplotlib in multiple environments

  • Creation of basic to moderately complicated matplotlib plots

  • Basic matplotlib APIs, styling, backends, and customizations

  • Using matplotlib objects, subplots, and overlays

  • Advanced third-party tools such as Seaborn, Pandas, ggplot, distributed IPython, and StarCluster

  • Completed reading most or all of the following books, Matplotlib for Python Developers, Sandro Tosi, Packt Publishing, and matplotlib Plotting Cookbook, Alexandre Devert, Packt Publishing

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Published in: Jun 2015Publisher: ISBN-13: 9781783987542
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Authors (2)

author image
Duncan M. McGreggor

Duncan M. McGreggor, having programmed with GOTOs in the 1980s, has made up for that through community service by making open source contributions for more than 20 years. He has spent a major part of the past 10 years dealing with distributed and scientific computing (in languages ranging from Python, Common Lisp, and Julia to Clojure and Lisp Flavored Erlang). In the 1990s, after serving as a linguist in the US Army, he spent considerable time working on projects related to MATLAB and Mathematica, which was a part of his physics and maths studies at the university. Since the mid 2000s, matplotlib and NumPy have figured prominently in many of the interesting problems that he has solved for his customers. With the most recent addition of the IPython Notebook, matplotlib and the suite of the Python scientific computing libraries remain some of his most important professional tools.
Read more about Duncan M. McGreggor

author image
Duncan M McGreggor

Duncan M. McGreggor, having programmed with GOTOs in the 1980s, has made up for that through community service by making open source contributions for more than 20 years. He has spent a major part of the past 10 years dealing with distributed and scientific computing (in languages ranging from Python, Common Lisp, and Julia to Clojure and Lisp Flavored Erlang). In the 1990s, after serving as a linguist in the US Army, he spent considerable time working on projects related to MATLAB and Mathematica, which was a part of his physics and maths studies at the university. Since the mid 2000s, matplotlib and NumPy have figured prominently in many of the interesting problems that he has solved for his customers. With the most recent addition of the IPython Notebook, matplotlib and the suite of the Python scientific computing libraries remain some of his most important professional tools.
Read more about Duncan M McGreggor

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