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Hands-on Matplotlib - Learn Plotting and Visualizations with Python 3 (Paperback, 1st ed.)
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Hands-on Matplotlib - Learn Plotting and Visualizations with Python 3 (Paperback, 1st ed.)
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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.
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