Mastering matplotlib :: a practical guide that takes you beyond the basics of matplotlib and gives solutions to plot complex data /
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...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Birmingham :
Packt Publishing,
2015.
|
| Schriftenreihe: | Community experience distilled.
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | 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 exciting journey learning about the skills that are necessary in leading technical teams for a visualization project or to become a matplotlib contributor. Supported by highly-detailed IPython Notebooks, this book takes you through the conceptual components underlying the library and then provides a detailed overview of its APIs. From there, you will learn about event handling and how to code for interactive plots. Next you will move on to customization techniques, local configuration of matplotib, and then deployments in Cloud environments. The adventure culminates in an exploration of big data visualization and matplotlib clustering. |
| Beschreibung: | Includes index. |
| Beschreibung: | 1 online resource (292 pages) : illustrations. |
| ISBN: | 1783987553 9781783987559 |
Internformat
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| 245 | 1 | 0 | |a Mastering matplotlib : |b a practical guide that takes you beyond the basics of matplotlib and gives solutions to plot complex data / |c Duncan M. McGreggor. |
| 260 | |a Birmingham : |b Packt Publishing, |c 2015. | ||
| 300 | |a 1 online resource (292 pages) : |b illustrations. | ||
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| 588 | 0 | |a Description based on print version record. | |
| 520 | |a 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 exciting journey learning about the skills that are necessary in leading technical teams for a visualization project or to become a matplotlib contributor. Supported by highly-detailed IPython Notebooks, this book takes you through the conceptual components underlying the library and then provides a detailed overview of its APIs. From there, you will learn about event handling and how to code for interactive plots. Next you will move on to customization techniques, local configuration of matplotib, and then deployments in Cloud environments. The adventure culminates in an exploration of big data visualization and matplotlib clustering. | ||
| 505 | 0 | |a 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 | |
| 505 | 8 | |a 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 | |
| 505 | 8 | |a 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 | |
| 505 | 8 | |a 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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| 776 | 0 | 8 | |i Print version: |a McGreggor, Duncan M. |t Mastering matplotlib : a practical guide that takes you beyond the basics of matplotlib and gives solutions to plot complex data. |d Birmingham, England ; Mumbai, [India] : Packt Publishing, ©2015 |h xii, 268 pages |k Community experience distilled. |z 9781783987542 |
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| author | McGreggor, Duncan M. |
| author_GND | http://id.loc.gov/authorities/names/no2015163385 |
| author_facet | McGreggor, Duncan M. |
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| contents | 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 |
| ctrlnum | (OCoLC)913095580 |
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| dewey-ones | 005 - Computer programming, programs, data, security |
| dewey-raw | 005.13/3 |
| dewey-search | 005.13/3 |
| dewey-sort | 15.13 13 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| format | Electronic eBook |
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| series | Community experience distilled. |
| series2 | Community Experience Distilled |
| spelling | McGreggor, Duncan M. http://id.loc.gov/authorities/names/no2015163385 Mastering matplotlib : a practical guide that takes you beyond the basics of matplotlib and gives solutions to plot complex data / Duncan M. McGreggor. Birmingham : Packt Publishing, 2015. 1 online resource (292 pages) : illustrations. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file Community Experience Distilled Includes index. Description based on print version record. 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 exciting journey learning about the skills that are necessary in leading technical teams for a visualization project or to become a matplotlib contributor. Supported by highly-detailed IPython Notebooks, this book takes you through the conceptual components underlying the library and then provides a detailed overview of its APIs. From there, you will learn about event handling and how to code for interactive plots. Next you will move on to customization techniques, local configuration of matplotib, and then deployments in Cloud environments. The adventure culminates in an exploration of big data visualization and matplotlib clustering. 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 English. Python (Computer program language) http://id.loc.gov/authorities/subjects/sh96008834 Charts, diagrams, etc. Computer programs. Python (Langage de programmation) Tableaux, graphiques, etc. Logiciels. COMPUTERS Programming Languages Python. bisacsh Charts, diagrams, etc. Computer programs fast Python (Computer program language) fast Electronic book. Print version: McGreggor, Duncan M. Mastering matplotlib : a practical guide that takes you beyond the basics of matplotlib and gives solutions to plot complex data. Birmingham, England ; Mumbai, [India] : Packt Publishing, ©2015 xii, 268 pages Community experience distilled. 9781783987542 Community experience distilled. http://id.loc.gov/authorities/names/no2011030603 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1018909 Volltext |
| spellingShingle | McGreggor, Duncan M. Mastering matplotlib : a practical guide that takes you beyond the basics of matplotlib and gives solutions to plot complex data / Community experience distilled. 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 Python (Computer program language) http://id.loc.gov/authorities/subjects/sh96008834 Charts, diagrams, etc. Computer programs. Python (Langage de programmation) Tableaux, graphiques, etc. Logiciels. COMPUTERS Programming Languages Python. bisacsh Charts, diagrams, etc. Computer programs fast Python (Computer program language) fast |
| subject_GND | http://id.loc.gov/authorities/subjects/sh96008834 |
| title | Mastering matplotlib : a practical guide that takes you beyond the basics of matplotlib and gives solutions to plot complex data / |
| title_auth | Mastering matplotlib : a practical guide that takes you beyond the basics of matplotlib and gives solutions to plot complex data / |
| title_exact_search | Mastering matplotlib : a practical guide that takes you beyond the basics of matplotlib and gives solutions to plot complex data / |
| title_full | Mastering matplotlib : a practical guide that takes you beyond the basics of matplotlib and gives solutions to plot complex data / Duncan M. McGreggor. |
| title_fullStr | Mastering matplotlib : a practical guide that takes you beyond the basics of matplotlib and gives solutions to plot complex data / Duncan M. McGreggor. |
| title_full_unstemmed | Mastering matplotlib : a practical guide that takes you beyond the basics of matplotlib and gives solutions to plot complex data / Duncan M. McGreggor. |
| title_short | Mastering matplotlib : |
| title_sort | mastering matplotlib a practical guide that takes you beyond the basics of matplotlib and gives solutions to plot complex data |
| title_sub | a practical guide that takes you beyond the basics of matplotlib and gives solutions to plot complex data / |
| topic | Python (Computer program language) http://id.loc.gov/authorities/subjects/sh96008834 Charts, diagrams, etc. Computer programs. Python (Langage de programmation) Tableaux, graphiques, etc. Logiciels. COMPUTERS Programming Languages Python. bisacsh Charts, diagrams, etc. Computer programs fast Python (Computer program language) fast |
| topic_facet | Python (Computer program language) Charts, diagrams, etc. Computer programs. Python (Langage de programmation) Tableaux, graphiques, etc. Logiciels. COMPUTERS Programming Languages Python. Charts, diagrams, etc. Computer programs Electronic book. |
| url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1018909 |
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