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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

Data Visualization

Author (1):

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

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Interactive Plotting

Until now, we have studied how to plot on 3D axes and how to make various different kinds of plots within those 3D axes. We also studied how to use basemap to generate map projections. Interactive plotting defines a discussion on interactivity wherein Matplotlib plots aren't just static images but dynamic updated figures that can change the way they are displayed based on the changes in real time to actual data in order to build apps using Matplotlib. In this chapter, we will learn about the following topics:

How to use the ipywidgets module with the Jupyter Notebook to make easy, interactive widgets
How to add callbacks to plots for interactivity
How to generate GUI neutral widgets for use in different kinds of Matplotlib applications
How to make movies and animations

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Authors (1)

Benjamin Walter Keller

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.

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