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 Description: In 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 ...
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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 Description: In 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 for: This 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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Add this copy of Mastering Matplotlib 2. X to cart. £31.65, new condition, Sold by Books2anywhere rated 5.0 out of 5 stars, ships from Fairford, GLOUCESTERSHIRE, UNITED KINGDOM, published 2018 by Packt Publishing Limited.
Edition:
Effective Data Visualization Techniques with Python edition
Publisher:
Packt Publishing
Published:
11/29/2018 12: 00: 00 AM
Language:
English
Alibris ID:
18497159417
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Add this copy of Mastering Matplotlib 2.x to cart. £31.63, new condition, Sold by GreatBookPricesUK5 rated 4.0 out of 5 stars, ships from Castle Donington, DERBYSHIRE, UNITED KINGDOM, published 2018 by Packt Publishing.
Edition:
Effective Data Visualization Techniques with Python edition
Publisher:
Packt Publishing
Published:
2018
Language:
English
Alibris ID:
18441257039
Shipping Options:
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New. Trade paperback (US). Glued binding. 214 p. Contains: Illustrations, black & white. In Stock. 100% Money Back Guarantee. Brand New, Perfect Condition, allow 4-14 business days for standard shipping. To Alaska, Hawaii, U.S. protectorate, P.O. box, and APO/FPO addresses allow 4-28 business days for Standard shipping. No expedited shipping. All orders placed with expedited shipping will be cancelled. Over 3, 000, 000 happy customers.
Add this copy of Mastering Matplotlib 2.x to cart. £30.50, new condition, Sold by Ingram Customer Returns Center rated 5.0 out of 5 stars, ships from NV, USA, published 2018 by Packt Publishing.
Add this copy of Mastering Matplotlib 2. X to cart. £50.66, good condition, Sold by Bonita rated 4.0 out of 5 stars, ships from Santa Clarita, CA, UNITED STATES, published 2018 by Packt Publishing.
Add this copy of Mastering Matplotlib 2. X: Effective Data Visualization to cart. £75.63, new condition, Sold by Bonita rated 4.0 out of 5 stars, ships from Santa Clarita, CA, UNITED STATES, published 2018 by Packt Publishing.