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Mastering Matplotlib 2.x

You're reading from  Mastering Matplotlib 2.x

Product type Book
Published in Nov 2018
Publisher Packt
ISBN-13 9781789617696
Pages 214 pages
Edition 1st Edition
Languages
Concepts
Author (1):
Benjamin Walter Keller Benjamin Walter Keller
Profile icon Benjamin Walter Keller
LinkedIn
Benjamin Walter Keller is currently a PhD candidate at McMaster University and gained his BSc in physics with a minor in computer science from the University of Calgary in 2011. His current research involves numerical modeling of galaxy evolution over cosmological timescales. As an undergraduate at the U of C, he worked on stacking radio polarization to examine faint extragalactic sources. He also worked in the POSSUM Working Group 2 to determine the requirements for stacking applications for the Australian SKA Pathfinder (ASKAP) radio telescope. He is particularly interested in questions involving stellar feedback (supernovae, stellar winds, and so on) and its impact on galaxies and their surrounding intergalactic medium.
See other products by Benjamin Walter Keller

Table of Contents (7) Chapters

Preface 1. Heavy Customization 2. Drawing on Plots 3. Special Purpose Plots 4. 3D and Geospatial Plots 5. Interactive Plotting 6. Other Books You May Enjoy

Heavy Customization

This book will teach us about advanced Matplotlib plots. It will enable you to go from data to plot to insight, in order to take raw numbers, raw information, and turn them into a visualization, which will allow us to build within our mind the actual bit of insight on how the data behaves. This will also focus on the advanced tools to derive more subtle insights from your data.

In this chapter, we will be focusing on the advanced tools of plotting so that you can really derive more subtle insights from your data. The prerequisites for this course give us a basic understanding of Python and the ability to use NumPy to work with array data.

We will learn about the following topics:

  • Using style sheets to customize our plot's appearance
  • Working with Matplotlib colors
  • Building multi-panel plots with complex layouts
  • How to configure Matplotlib to use our preferences whenever we start up a new Matplotlib session
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Mastering Matplotlib 2.x
Published in: Nov 2018 Publisher: Packt ISBN-13: 9781789617696
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Authors (1)

Profile icon Benjamin Walter Keller
LinkedIn
Benjamin Walter Keller is currently a PhD candidate at McMaster University and gained his BSc in physics with a minor in computer science from the University of Calgary in 2011. His current research involves numerical modeling of galaxy evolution over cosmological timescales. As an undergraduate at the U of C, he worked on stacking radio polarization to examine faint extragalactic sources. He also worked in the POSSUM Working Group 2 to determine the requirements for stacking applications for the Australian SKA Pathfinder (ASKAP) radio telescope. He is particularly interested in questions involving stellar feedback (supernovae, stellar winds, and so on) and its impact on galaxies and their surrounding intergalactic medium.
Read more
See other products by Benjamin Walter Keller

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