Mastering matplotlib : a practical guide that takes you beyond the basics of matplotlib and gives solutions to plot complex data /

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Matplotlib is a Python plotting library that provides a large feature set for a multitude of platforms. Given the depth of the library's legacy and the variety of related open source projects, gaining expert knowledge can be a time-consuming and often confusing process. You'll begin your e...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: McGreggor, Duncan M.
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Birmingham : Packt Publishing, 2015.
Colección:Community experience distilled.
Temas:
Python (Computer program language)
Charts, diagrams, etc. > Computer programs.
Python (Langage de programmation)
Tableaux, graphiques, etc. > Logiciels.
COMPUTERS > Programming Languages > Python.
Acceso en línea:Texto completo
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Tabla de Contenidos:
  • Cover; Copyright; Credits; About the Author; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Getting Up to Speed; A brief historical overview of matplotlib; What's new in matplotlib 1.4; The intermediate matplotlib user; Prerequisites for this book; Python 3; Coding style; Installing matplotlib; Using IPython Notebooks with matplotlib; Advanced plots
  • a preview; Setting up the interactive backend; Joint plots with Seaborn; Scatter plot matrix graphs with Pandas; Summary; Chapter 2: The matplotlib Architecture; The original design goals
  • The current matplotlib architectureThe backend layer; FigureCanvasBase; RendererBase; Event; Visualizing the backend layer; The artist layer; Primitives; Containers; Collections; A view of the artist layer; The scripting layer; The supporting components of the matplotlib stack; matplotlib modules; Exploring the filesystem; Exploring imports visually; ModuleFinder; ModGrapher; The execution flow; An overview of the script; An interactive session; The matplotlib architecture as it relates to this book; Summary; Chapter 3: matplotlib APIs and Integrations; The procedural pylab API
  • The pyplot scripting APIThe matplotlib object-oriented API; Equations; Helper classes; The Plotter class; Running the jobs; matplotlib in other frameworks; An important note on IPython; Summary; Chapter 4: Event Handling and Interactive Plots; Event loops in matplotlib; Event-based systems; The event loop; GUI toolkit main loops; IPython Notebook event loops; matplotlib event loops; Event handling; Mouse events; Keyboard events; Axes and figure events; Object picking; Compound event handling; The navigation toolbar; Specialized events; Interactive panning and zooming; Summary
  • File and directory locationsUsing the matplotlibrc file; Updating the settings dynamically; Options in IPython; Summary; Chapter 7: Deploying matplotlib in Cloud Environments; Making a use case for matplotlib in the Cloud; The data source; Defining a workflow; Choosing technologies; Configuration management; The types of deployment; An example
  • AWS and Docker; Getting set up locally; Requirements; Dockerfiles and the Docker images; Extending a Docker image; Building a new image; Preparing for deployment; Getting setup on AWS; Pushing the source data to S3; Creating a host server on EC2

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