Book Image

Matplotlib for Python Developers - Second Edition

By : Aldrin Yim, Claire Chung, Allen Yu
Book Image

Matplotlib for Python Developers - Second Edition

By: Aldrin Yim, Claire Chung, Allen Yu

Overview of this book

Python is a general-purpose programming language increasingly being used for data analysis and visualization. Matplotlib is a popular data visualization package in Python used to design effective plots and graphs. This is a practical, hands-on resource to help you visualize data with Python using the Matplotlib library. Matplotlib for Python Developers, Second Edition shows you how to create attractive graphs, charts, and plots using Matplotlib. You will also get a quick introduction to third-party packages, Seaborn, Pandas, Basemap, and Geopandas, and learn how to use them with Matplotlib. After that, you’ll embed and customize your plots in third-party tools such as GTK+3, Qt 5, and wxWidgets. You’ll also be able to tweak the look and feel of your visualization with the help of practical examples provided in this book. Further on, you’ll explore Matplotlib 2.1.x on the web, from a cloud-based platform using third-party packages such as Django. Finally, you will integrate interactive, real-time visualization techniques into your current workflow with the help of practical real-world examples. By the end of this book, you’ll be thoroughly comfortable with using the popular Python data visualization library Matplotlib 2.1.x and leveraging its power to build attractive, insightful, and powerful visualizations.
Table of Contents (16 chapters)
Title Page
Dedication
Packt Upsell
Contributors
Preface
Index

A brief introduction to wxWidgets and wxPython


One of the most important features of wxWidgets is cross-platform portability; it currently supports Windows, macOS X, Linux (with the X11, Motif, and GTK+ libraries), OS/2, and several other operating systems and platforms (including an embedded version that is currently under development).

wxWidgets can best be described as a native mode toolkit because it provides a thin API abstraction layer across platforms and uses platform-native widgets under the hood, as opposed to emulating them. Using native controls gives wxWidgets applications a natural and familiar look and feel. On the other hand, introducing an additional layer can result in a slight performance penalty, although this is unlikely to be noticed in the kind of applications we will commonly develop.

wxWidgets is not restricted to GUI development. It's more than just a graphics toolkit, providing a whole set of additional facilities, such as database libraries, an inter-process communication...