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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

Index

A

  • Advanced Message Queuing Protocol (AMQP) / The custom ZeroMQ cluster
  • Amazon Machine Image (AMI) / Creating a host server on EC2
  • analysis of precipitation
    • about / Analysis of precipitation
  • analysis of temperature
    • about / Analysis of temperature
  • Apache Kafka
    • about / Distributed data
  • Apache Spark
    • about / Distributed data
  • Apache Storm
    • about / Distributed data
  • artist layer
    • about / The current matplotlib architecture, The artist layer
    • Artist class / The artist layer
    • Artist subclasses / The artist layer
    • primitives / Primitives
    • containers / Containers
    • collections / Collections
    • view / A view of the artist layer
  • Automobile Data Set
    • about / Subplots

B

  • B-trees
    • about / HDF5 and PyTables
  • backend layer
    • about / The current matplotlib architecture, The backend layer
    • FigureCanvasBase / FigureCanvasBase
    • RendererBase / RendererBase
    • event / Event
    • visualizing / Visualizing the backend layer
  • ...
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