Matplotlib for Python Developers : Effective techniques for data visualization with Python, 2nd Edition.

This book is essentially for anyone who wants to create intuitive data visualizations using the Matplotlib library. If you're a data scientist or analyst and wish to create attractive visualizations using Python, you'll find this book useful. Some knowledge of Python programming is all you...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Yim, Aldrin (Autor), Chung, Claire (Autor), Yu, Allen (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Birmingham : Packt Publishing, 2018.
Edición:Second edition.
Temas:
Python (Computer program language)
Application software > Development.
Information visualization.
Visualisation de l'information.
Python (Langage de programmation)
Logiciels d'application > Développement.
Information visualization
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Chapter 1 : Introduction to Matplotlib
  • What is Matplotlib?
  • Setting up Matplotlib
  • Chapter 2 : Getting Started with Matplotlib
  • Loading data
  • Our first plots with Matplotlib
  • Adjusting axes, grids, labels, titles, and legends
  • A complete example
  • Saving plots to a file
  • Configuring Matplotlib
  • Chapter 3 : Decorating Graphs with Plot Styles and Types
  • Controlling the colors
  • Line and marker styles
  • More native Matplotlib plot types
  • Text and annotations
  • Using style sheets
  • Aesthetics and readability considerations in styling
  • Chapter 4 : Advanced Matplotlib
  • Drawing Subplots
  • Adjusting axes and ticks
  • More on Pandas-Matplotlib integration
  • Expanding plot types with Seaborn
  • Image plotting
  • Financial plotting
  • 3D plots with Axes3D
  • Geographical plotting
  • Chapter 5 : Embedding Matplotlib in GTK+3
  • Installing and setting up GTK+3
  • Chapter 6 : Embedding Matplotlib in Qt 5
  • A brief introduction to Qt 5 and PyQt 5
  • Differences between Qt 4 and PyQt 4
  • Chapter 7 : Embedding Matplotlib in wxWidgets Using wxPython
  • A brief introduction to wxWidgets and wxPython
  • Chapter 8 : Integrating Matplotlib with Web Applications
  • Installing Docker
  • More about Django
  • Showing Bitcoin prices using Django and Matplotlib
  • Chapter 9 : Matplotlib in the Real World
  • Typical API data formats
  • Importing and visualizing data from a JSON API
  • Scraping information from websites
  • Matplotlib graphical backends
  • Creating animated plot
  • Chapter 10 : Integrating Data Visualization into the Workflow
  • Getting started
  • Visualizing sample images from the dataset
  • Exploring the data nature by the t-SNE method
  • Creating a CNN to recognize digits
  • Evaluating prediction results with visualizations

Ejemplares similares