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...

Full description

Bibliographic Details
Call Number:Libro Electrónico
Main Authors: Yim, Aldrin (Author), Chung, Claire (Author), Yu, Allen (Author)
Format: Electronic eBook
Language:Inglés
Published: Birmingham : Packt Publishing, 2018.
Edition:Second edition.
Subjects:
Python (Computer program language)
Application software > Development.
Information visualization.
Visualisation de l'information.
Python (Langage de programmation)
Logiciels d'application > Développement.
Information visualization
Online Access:Texto completo
Table of Contents:
  • 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

Similar Items