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Matplotlib for Python Developers.

This is a practical, hands-on book, with a lot of code and images. It presents the real code that generates every image and describes almost every single line of it, so that you know exactly what's going on. Introductory, descriptive, and theoretical parts are mixed with examples, so that readi...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Packt Publishing 2009.
Temas:
Acceso en línea:Texto completo

MARC

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520 |a This is a practical, hands-on book, with a lot of code and images. It presents the real code that generates every image and describes almost every single line of it, so that you know exactly what's going on. Introductory, descriptive, and theoretical parts are mixed with examples, so that reading and understanding them is easy. All of the examples build gradually with code snippets, their explanations, and plot images where necessary with the complete code and output presented at the end. This book is essentially for Python developers who have a good knowledge of Python; no knowledge of Matplotlib is required. You will be creating 2D plots using Matplotlib in no time at all. 
505 0 |a Cover; Copyright; Credits; About the Author; About the Reviewers; Table of Contents; Preface; Chapter 1: Introduction to Matplotlib; Merits of Matplotlib; Matplotlib web sites and online documentation; Output formats and backends; Output formats; Backends; About dependencies; Build dependencies; Installing Matplotlib; Installing Matplotlib on Linux; Installing Matplotlib on Windows; Installing Matplotlib on Mac OS X; Installing Matplotlib using packaged Python distributions; Installing Matplotlib from source code; Testing our installation; Summary; Chapter 2: Getting Started with Matplotlib 
505 8 |a First plots with MatplotlibMultiline plots; A brief introduction to NumPy arrays; Grid, axes, and labels; Adding a grid; Handling axes; Adding labels; Titles and legends; Adding a title; Adding a legend; A complete example; Saving plots to a file; Interactive navigation toolbar; IPython support; Controlling the interactive mode; Suppressing functions output; Configuring Matplotlib; Configuration files; Configuring through the Python code; Selecting backend from code; Summary; Chapter 3: Decorate Graphs with Plot Styles and Types; Markers and line styles; Control colors 
505 8 |a Specifying styles in multiline plotsControl line styles; Control marker styles; Finer control with keyword arguments; Handling X and Y ticks; Plot types; Histogram charts; Error bar charts; Bar charts; Pie charts; Scatter plots; Polar charts; Navigation Toolbar with polar plots; Control radial and angular grids; Text inside figure, annotations, and arrows; Text inside figure; Annotations; Arrows; Summary; Chapter 4: Advanced Matplotlib; Object-oriented versus MATLAB styles; A brief introduction to Matplotlib objects; Our first (simple) example of OO Matplotlib; Subplots; Multiple figures 
505 8 |a Additional Y (or X) axesLogarithmic axes; Share axes; Plotting dates; Date formatting; Axes formatting with axes tick locators and formatters; Custom formatters and locators; Text properties, fonts, and LaTeX; Fonts; Using LaTeX formatting; Mathtext; External TeX renderer; Contour plots and image plotting; Contour plots; Image plotting; Summary; Chapter 5: Embedding Matplotlib in GTK+; A brief introduction to GTK+; Introduction to GTK+ signal system; Embedding a Matplotlib figure in a GTK+ window; Including a navigation toolbar; Real-time plots update 
505 8 |a Embedding Matplotlib in a Glade applicationDesigning the GUI using Glade; Code to use Glade GUI; Summary; Chapter 6: Embedding Matplotlib in Qt 4; Brief introduction to Qt 4 and PyQt4; Embedding a Matplotlib figure in a Qt window; Including a navigation toolbar; Real-time update of a Matplotlib graph; Embedding Matplotlib in a GUI made with Qt Designer; Designing the GUI using Qt Designer; Code to use the Qt Designer GUI; Introduction to signals and slots; Returning to the example; Summary; Chapter 7: Embedding Matplotlib in wxWidgets; Brief introduction to wxWidgets and wxPython 
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