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Mastering Matplotlib

You're reading from   Mastering Matplotlib A practical guide that takes you beyond the basics of matplotlib and gives solutions to plot complex data

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Product type Paperback
Published in Jun 2015
Publisher
ISBN-13 9781783987542
Length 292 pages
Edition 1st Edition
Languages
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Toc

Table of Contents (11) Chapters Close

Preface 1. Getting Up to Speed FREE CHAPTER 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

Conventions

In this book, you will find a number of text styles that distinguish between different kinds of information. Here are some examples of these styles and an explanation of their meaning.

Code words in text, database table names, folder names, filenames, file extensions, pathnames, dummy URLs, user input, and Twitter handles are shown as follows: "The axes and projections directories form a crucial part of the artist layer."

A block of code is set as follows:

#! /usr/bin/env python3.4
import matplotlib.pyplot as plt

def main () -> None:
  plt.plot([1,2,3,4])
  plt.ylabel('some numbers')
  plt.savefig('simple-line.png')

if __name__ == '__main__':
  main()

Any command-line input or output is written as follows:

$ git clone https://github.com/masteringmatplotlib/architecture.git
$ cd architecture
$ make

New terms and important words are shown in bold. Words that you see on the screen, for example, in menus or dialog boxes, appear in the text like this: " For instance, when the Zoom-to-Rectangle button is clicked, the mode will be set to zoom rect "

Note

Warnings or important notes appear in a box like this.

Tip

Tips and tricks appear like this.

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