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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 2. The matplotlib Architecture FREE CHAPTER 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

The pyplot scripting API

Nearly all introductory matplotlib texts and a large portion of intermediate matplotlib material focuses on the pyplot scripting layer in matplotlib. The pyplot interface offers a highly flexible and convenient means to get data into the plots with no hassles. The simple-line.py script from the last chapter highlighted this. However, this can lead one to make an incorrect assessment of pyplot.

The pyplot API is not simply a tool for beginners, especially with the advanced use of data taking place in the object-oriented API. Rather, in pyplot's simplicity rests its power. It is the right tool to use when you need the following:

  • One-off scripts
  • Instant feedback for the visualization of newly obtained datasets
  • The means to demonstrate plot features or workflow in an IPython matplotlib notebook
  • Visualization and a manual check of data from laboratory experiments
  • Ways to work through problems with a publication in a textbook or journal article, in graduate work, or for...
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