Build an extraordinary publication-quality plots the easy way Create high quality 2D plots using Matplotlib productivelyIncremental introduction to Matplotlib, from the ground up to Matplotlib levelsEmbed forward in GTK +, Qt, and wxWidgets applications and web sites to use them in Python Matplotlib applicationsDeploy in web applications and expose it on the Web using a web framework popular, such as pylons and DjangoGet to cope with the hand-code and examples of realistic case studies complete with screenshots plot is very informative In Detail Provide interesting plots and graphs are an important part of various fields such as scientific research, data analysis, and so forth. This book explains the making of plots, histograms, power spectra, bar charts, graphs, error, scatter plots, and much more using powerful Matplotlib library to get impressive results-out-the-box. This book gives you a comprehensive tour of the major features of the 2D plan Matplotlib Python libraries, all from a simple concept to the most advanced topics. First came the basics: what is to introduce a library, an important prerequisite (and terminology), install and configure Matplotlib, and going through such a simple plot lines, grids, axes, and graphs. You will learn through an incremental approach: from a simple example which presents a GUI library specificity, for a more complex, using GUI designer tools. Because the Web through all our activities, part of the book is dedicated to showing how Matplotlib can be used in a web environment, and the other focuses on using Matplotlib with common Python web framework, namely, pylons and Django. What you will learn from this book? IPython interactive computing environment utilizing the full cooperation with MatplotlibLearn line and point styles and master their customization, custom axis ticks, and develop the types of plots are available in Matplotlib, such as histograms, bar, pie charts, polar charts, and so onExplore Matplotlib and Object Oriented learn how to add subplots, multiple characters, and share additional axes, axes logarithmic scale, the data plan with a tick format and locators, text properties, fonts, typing LaTeX, and contour plotsGet comfortable with Glade - a RAD tool - to quickly design a GUI for GTK + and instill Matplotlib to itMake most Matplotlib in wxWidgets framework, especially using wxPython bindings and GUI design with the Qt Designer GUI wxGladeUse to draw a simple and refer to your Python code to suit your Matplotlib needsExpose on the Web using CGI (via mod_cgi Apache ), mod_python, Django, and pylons in a short time allProfit of real-world examples with just following the river - to identify sources of data, describes the data and produce the resulting plots Approach This is a practical, hands-on book, with lots of code and images. Who is this book written for? This book is basically for Python developers who have good knowledge of Python, there is no necessary knowledge of Matplotlib.