\u003cp\u003e\u003cb\u003eUnlock deeper insights into visualization in form of 2D and 3D graphs using Matplotlib 2.x\u003c/b\u003e\u003c/p\u003e\u003ch2\u003eAbout This Book\u003c/h2\u003e\u003cul\u003e\u003cli\u003eCreate and customize live graphs, by adding style, color, font to make appealing graphs.\u003c/li\u003e\u003cli\u003eA complete guide with insightful use cases and examples to perform data visualizations with Matplotlib's extensive toolkits.\u003c/li\u003e\u003cli\u003eCreate timestamp data visualizations on 2D and 3D graphs in form of plots, histogram, bar charts, scatterplots and more.\u003c/li\u003e\u003c/ul\u003e\u003ch2\u003eWho This Book Is For\u003c/h2\u003e\u003cp\u003eThis book is for anyone interested in data visualization, to get insights from big data with Python and Matplotlib 2.x. With this book you will be able to extend your knowledge and learn how to use python code in order to visualize your data with Matplotlib. Basic knowledge of Python is expected.\u003c/p\u003e\u003ch2\u003eWhat You Will Learn\u003c/h2\u003e\u003cul\u003e\u003cli\u003eFamiliarize with the latest features in Matplotlib 2.x\u003c/li\u003e\u003cli\u003eCreate data visualizations on 2D and 3D charts in the form of bar charts, bubble charts, heat maps, histograms, scatter plots, stacked area charts, swarm plots and many more.\u003c/li\u003e\u003cli\u003eMake clear and appealing figures for scientific publications.\u003c/li\u003e\u003cli\u003eCreate interactive charts and animation.\u003c/li\u003e\u003cli\u003eExtend the functionalities of Matplotlib with third-party packages, such as Basemap, GeoPandas, Mplot3d, Pandas, Scikit-learn, and Seaborn.\u003c/li\u003e\u003cli\u003eDesign intuitive infographics for effective storytelling.\u003c/li\u003e\u003c/ul\u003e\u003ch2\u003eIn Detail\u003c/h2\u003e\u003cp\u003eBig data analytics are driving innovations in scientific research, digital marketing, policy-making and much more. Matplotlib offers simple but powerful plotting interface, versatile plot types and robust customization.\u003c/p\u003e\u003cp\u003eMatplotlib 2.x By Example illustrates the methods and applications of various plot types through real world examples.\u003c/p\u003e\u003cp\u003eIt begins by giving readers the basic know-how on how to create and customize plots by Matplotlib. It further covers how to plot different types of economic data in the form of 2D and 3D graphs, which give insights from a deluge of data from public repositories, such as Quandl Finance. You will learn to visualize geographical data on maps and implement interactive charts.\u003c/p\u003e\u003cp\u003eBy the end of this book, you will become well versed with Matplotlib in your day-to-day work to perform advanced data visualization. This book will guide you to prepare high quality figures for manuscripts and presentations. You will learn to create intuitive info-graphics and reshaping your message crisply understandable.\u003c/p\u003e\u003ch2\u003eStyle and approach\u003c/h2\u003e\u003cp\u003eStep by step comprehensive guide filled with real world examples.\u003c/p\u003e
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