build remarkable publication quality plots the easy way /
First Statement of Responsibility
Sandro Tosi
.PUBLICATION, DISTRIBUTION, ETC
Place of Publication, Distribution, etc.
Birmingham, U.K. :
Name of Publisher, Distributor, etc.
Packt Pub.,
Date of Publication, Distribution, etc.
c2009
PHYSICAL DESCRIPTION
Specific Material Designation and Extent of Item
1 online resource (iv, 293 p.) :
Other Physical Details
ill
SERIES
Series Title
From technologies to solutions
GENERAL NOTES
Text of Note
Description based on print version record
Text of Note
Includes index
SUMMARY OR ABSTRACT
Text of Note
"Providing appealing plots and graphs is an essential part of various fields such as scientific research, data analysis, and so on. Matplotlib, the Python 2D plotting library, is used to produce publication-quality figures in a variety of hardcopy formats and interactive environments across platforms. This book explains creating various plots, histograms, power spectra, bar charts, error charts, scatter-plots and much more using the powerful Matplotlib library to get impressive out-of-the-box results. The book introduces the library in steps. First come the basics: introducing what the library is, its important prerequisites (and terminology), installing and configuring Matplotlib, and going through simple plots such as lines, grids, axes, and charts. Then we start with some introductory examples, and move ahead by discussing the various programming styles that Matplotlib allows, and several key features"--Resource description page