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Mastering matplotlib

You're reading from Mastering matplotlib

Product type Book

Published in Jun 2015

Publisher

ISBN-13 9781783987542

Pages 292 pages

Edition 1st Edition

Languages

Concepts

Data Visualization

Authors (2):

Duncan M. McGreggor

Duncan M McGreggor

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Table of Contents (16) Chapters

Mastering matplotlib

Credits

About the Author

About the Reviewers

www.PacktPub.com

Preface

1. Getting Up to Speed

2. The matplotlib Architecture

3. matplotlib APIs and Integrations

4. Event Handling and Interactive Plots

5. High-level Plotting and Data Analysis

6. Customization and Configuration

7. Deploying matplotlib in Cloud Environments

8. matplotlib and Big Data

9. Clustering for matplotlib

Index

Event handling

We now have a good background for some practical work with matplotlib events. We are now ready to explore the nitty-gritty. Let's begin with the list of events that matplotlib supports:

Event name	Class	Description
`button_press_event`	`MouseEvent`	The mouse button is pressed
`button_release_event`	`MouseEvent`	The mouse button is released
`draw_event`	`DrawEvent`	The canvas draw occurs
`key_press_event`	`KeyEvent`	A key is pressed
`key_release_event`	`KeyEvent`	A key is released
`motion_notify_event`	`MouseEvent`	Motion of the mouse
`pick_event`	`PickEvent`	An object in the canvas is selected
`resize_event`	`ResizeEvent`	The figure canvas is resized
`scroll_event`	`MouseEvent`	The scroll wheel of the mouse is rolled
`figure_enter_event`	`LocationEvent`	The mouse enters a figure
`figure_leave_event`	`LocationEvent`	The mouse leaves a figure
`axes_enter_event`	`LocationEvent`	The mouse enters an axes object
`axes_leave_event`	`LocationEvent`	The mouse leaves an axes object

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Authors (2)

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.

See other products by Duncan M. McGreggor

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.

See other products by Duncan M McGreggor

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