Go back

Mastering Matplotlib 2.x Effective Data Visualization Techniques With Python(1st Edition)

Authors:

Benjamin Walter Keller

Free mastering matplotlib 2.x effective data visualization techniques with python 1st edition benjamin walter
15 ratings
Cover Type:Hardcover
Condition:Used

In Stock

Shipment time

Expected shipping within 2 Days
Access to 30 Million+ solutions Free
Ask 50 Questions from expert AI-Powered Answers
7 days-trial

Total Price:

$0

List Price: $30.99 Savings: $30.99(100%)

Book details

ISBN: 1789617693, 978-1789617696

Book publisher: Packt Publishing

Get your hands on the best-selling book Mastering Matplotlib 2.x Effective Data Visualization Techniques With Python 1st Edition for free. Feed your curiosity and let your imagination soar with the best stories coming out to you without hefty price tags. Browse SolutionInn to discover a treasure trove of fiction and non-fiction books where every page leads the reader to an undiscovered world. Start your literary adventure right away and also enjoy free shipping of these complimentary books to your door.

Book Summary: Understand and build beautiful and advanced plots with Matplotlib and PythonKey FeaturesPractical guide with hands-on examples to design interactive plots Advanced techniques to constructing complex plots Explore 3D plotting and visualization using Jupyter NotebookBook 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 CookbookWhat you will learnDeal 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 representationWho 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.Table of ContentsHeavy CustomizationDrawing on PlotsSpecial Purpose Plots3D & Geospatial PlottingInteractive Plotting