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Matplotlib for Python Developers PDF 下载
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What this book covers
Chapter 1—Introduction to Matplotlib introduces what Matplotlib is, describing its
output formats and the interactions with graphical environments. Several ways
to install Matplotlib are presented, along with its dependencies needed to have a
correctly configured environment to get along with the book.
Chapter 2—Getting started with Matplotlib covers the first examples of Matplotlib
usage. While still being basic, the examples show important aspects of Matplotlib
like how to plot lines, legends, axes labels, axes grids, and how to save the finished
plot. It also shows how to configure Matplotlib using its configuration files or
directly into the code, and how to work profitable with IPython.
Chapter 3—Decorate Graphs with Plot Styles and Types discusses the additional plotting
capabilities of Matplotlib: lines and points styles and ticks customizations. Several
types of plots are discussed and covered: histograms, bars, pie charts, scatter plots,
and more, along with the polar representation. It is also explained how to include
textual information inside the plot.
Chapter 4—Advanced Matplotlib examines some advanced (or not so common) topics
like the object-oriented interface, how to include more subplots in a single plot or how
to generate more figures, how to set one axis (or both) to logarithmic scale, and how
to share one axis between two graphs in one plot. A consistent section is dedicated to
plotting date information and all that comes with that. This chapter also shows the
text properties that can be tuned in Matplotlib and how to use the LaTeX typesetting
language. It also presents a section about contour plot and image plotting.
Chapter 5—Embedding Matplotlib in GTK+ guides us through the steps to embed
Matplotlib inside a GTK+ program. Starting from embedding just the Figure and the
Navigation toolbar, it will present how to use Glade to design a GUI and then embed
Matplotlib into it. It also describes how to dynamically update a Matplotlib plot
using the GTK+ capabilities.
Chapter 6—Embedding Matplotlib in Qt 4 explores how to include a Matplotlib figure
into a Qt 4 GUI. It includes an example that uses Qt Designer to develop a GUI and
how to use Matplotlib into it. What Qt 4 library provides for a real-time update of a
Matplotlib plot is described here too.
Chapter 7—Embedding Matplotlib in wxWidgets shows what is needed to embed
Matplotlib into a wxWidget graphical application. An important example is the one
for a real-time plot update using a very efficient technique (borrowed from computer
graphics), allowing for a high update rate. WxGlade is introduced, which guides us
step-by-step through the process of wxWidgets GUI creation and where to include a
Matplotlib plot.
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