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Mastering Matplotlib 2.x - Effective Data Visualization techniques with Python (Paperback)
Loot Price: R796
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Mastering Matplotlib 2.x - Effective Data Visualization techniques with Python (Paperback)
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Understand and build beautiful and advanced plots with Matplotlib
and Python Key Features Practical guide with hands-on examples to
design interactive plots Advanced techniques to constructing
complex plots Explore 3D plotting and visualization using Jupyter
Notebook Book DescriptionIn this book, you'll get hands-on with
customizing your data plots with the help of Matplotlib. You'll
start with customizing plots, making a handful of special-purpose
plots, and building 3D plots. You'll explore non-trivial layouts,
Pylab customization, and more about tile configuration. You'll be
able to add text, put lines in plots, and also handle polygons,
shapes, and annotations. Non-Cartesian and vector plots are
exciting to construct, and you'll explore them further in this
book. You'll delve into niche plots and visualize ordinal and
tabular data. In this book, you'll be exploring 3D plotting, one of
the best features when it comes to 3D data visualization, along
with Jupyter Notebook, widgets, and creating movies for enhanced
data representation. Geospatial plotting will also be explored.
Finally, you'll learn how to create interactive plots with the help
of Jupyter. Learn expert techniques for effective data
visualization using Matplotlib 3 and Python with our latest
offering -- Matplotlib 3.0 Cookbook What you will learn Deal with
non-trivial and unusual plots Understanding Basemap methods
Customize and represent data in 3D Construct Non-Cartesian and
vector plots Design interactive plots using Jupyter Notebook Make
movies for enhanced data representation Who this book is forThis
book is aimed at individuals who want to explore data visualization
techniques. A basic knowledge of Matplotlib and Python is required.
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