Mastering Matplotlib 2.x: Effective Data Visualization techniques with Python by

Description: Mastering Matplotlib 2.x by Benjamin Walter Keller Mastering Matplotlib covers the use cases and encounter unusual cases that requires more powerful tools. With the easy to follow examples and high end components of matplotlib, this book will enable to develop advanced and interactive plots using Python scripting and Matplotlib FORMAT Paperback LANGUAGE English CONDITION Brand New Publisher Description Understand and build beautiful and advanced plots with Matplotlib and PythonKey FeaturesPractical guide with hands-on examples to design interactive plotsAdvanced techniques to constructing complex plotsExplore 3D plotting and visualization using Jupyter NotebookBook DescriptionIn this book, youll get hands-on with customizing your data plots with the help of Matplotlib. Youll start with customizing plots, making a handful of special-purpose plots, and building 3D plots. Youll explore non-trivial layouts, Pylab customization, and more about tile configuration. Youll 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 youll explore them further in this book. Youll delve into niche plots and visualize ordinal and tabular data. In this book, youll 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, youll 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 plotsUnderstanding Basemap methodsCustomize and represent data in 3D Construct Non-Cartesian and vector plotsDesign interactive plots using Jupyter NotebookMake 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. Author Biography Benjamin Walter Keller is currently a PhD candidate at McMaster University and gained his BSc in physics with a minor in computer science from the University of Calgary in 2011. His current research involves numerical modeling of galaxy evolution over cosmological timescales. As an undergraduate at the U of C, he worked on stacking radio polarization to examine faint extragalactic sources. He also worked in the POSSUM Working Group 2 to determine the requirements for stacking applications for the Australian SKA Pathfinder (ASKAP) radio telescope. He is particularly interested in questions involving stellar feedback (supernovae, stellar winds, and so on) and its impact on galaxies and their surrounding intergalactic medium. Table of Contents Table of ContentsHeavy CustomizationDrawing on PlotsSpecial Purpose Plots3D & Geospatial PlottingInteractive Plotting Long Description 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, youll get hands-on with customizing your data plots with the help of Matplotlib. Youll start with customizing plots, making a handful of special-purpose plots, and building 3D plots. Youll explore non-trivial layouts, Pylab customization, and more about tile configuration. Youll 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 youll explore them further in this book. Youll delve into niche plots and visualize ordinal and tabular data. In this book, youll 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, youll 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. Details ISBN1789617693 Author Benjamin Walter Keller Pages 214 Publisher Packt Publishing Limited Year 2018 ISBN-10 1789617693 ISBN-13 9781789617696 Publication Date 2018-11-29 Short Title Mastering Matplotlib 2. x Language English Format Paperback UK Release Date 2018-11-29 Imprint Packt Publishing Limited Place of Publication Birmingham Country of Publication United Kingdom AU Release Date 2018-11-29 NZ Release Date 2018-11-29 Subtitle Effective Data Visualization techniques with Python DEWEY 005.133 Audience General We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:130807318;

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