Learn the core aspects of NumPy, Matplotlib, and Pandas, and use them to
write programs with Python 3. This book focuses heavily on various data
visualization techniques and will help you acquire expert-level
knowledge of working with Matplotlib, a MATLAB-style plotting library
for Python programming language that provides an object-oriented API for
embedding plots into applications.
You'll begin with an introduction to Python 3 and the scientific Python
ecosystem. Next, you'll explore NumPy and ndarray data structures,
creation routines, and data visualization. You'll examine useful
concepts related to style sheets, legends, and layouts, followed by
line, bar, and scatter plots. Chapters then cover recipes of histograms,
contours, streamplots, and heatmaps, and how to visualize images and
audio with pie and polar charts.
Moving forward, you'll learn how to visualize with pcolor, pcolormesh,
and colorbar, and how to visualize in 3D in Matplotlib, create simple
animations, and embed Matplotlib with different frameworks. The
concluding chapters cover how to visualize data with Pandas and
Matplotlib, Seaborn, and how to work with the real-life data and
visualize it. After reading Hands-on Matplotlib you'll be proficient
with Matplotlib and able to comfortably work with ndarrays in NumPy and
data frames in Pandas.
What You'll Learn
- Understand Data Visualization and Python using Matplotlib
- Review the fundamental data structures in NumPy and Pandas
- Work with 3D plotting, visualizations, and animations
- Visualize images and audio data
**Who This Book Is For
**Data scientists, machine learning engineers and software professionals
with basic programming skills.
