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153588836
Matplotlib 2.x By Example: Multidimensional charts, graphs, and plots in Python
Item #:
153588836
TMT 155
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Product Details
- Unlock deeper insights into visualization in form of 2D and 3D graphs using Matplotlib 2.xAbout This BookCreate and customize live graphs, by adding style, color, font to make appealing graphs.A complete guide with insightful use cases and examples to perform data visualizations with Matplotlib's extensive toolkits.Create timestamp data visualizations on 2D and 3D graphs in form of plots, histogram, bar charts, scatterplots and more.Who This Book Is ForThis 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.What You Will LearnFamiliarize with the latest features in Matplotlib 2.xCreate 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.Make clear and appealing figures for scientific publications.Create interactive charts and animation.Extend the functionalities of Matplotlib with third-party packages, such as Basemap, GeoPandas, Mplot3d, Pandas, Scikit-learn, and Seaborn.Design intuitive infographics for effective storytelling.In DetailBig 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.Matplotlib 2.x By Example illustrates the methods and applications of various plot types through real world examples.It 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.By 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.Style and approachStep by step comprehensive guide filled with real world examples.
| Publisher | Packt Publishing |
| Publication date | August 28, 2017 |
| Edition | 1st |
| Language | English |
| File size | 38.4 MB |
| Enhanced typesetting | Enabled |
| X-Ray | Not Enabled |
| Word Wise | Not Enabled |
| Print length | 552 pages |
| ISBN-13 | 978-1788292139 |
| Page Flip | Enabled |
| Item Weight | 0.5 lbs (230 grams) |
Product Description
Matplotlib 2.x By Example: Multidimensional charts, graphs, and plots in Python
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TMT 155
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Features & Benefits
- Create and customize live graphs with style and color.
- Comprehensive guide filled with use cases for data visualization.
- Learn to create diverse plots like histograms, bar charts, and scatterplots.
- Perfect for anyone with basic Python knowledge wanting to visualize big data.
- Discover the latest features of Matplotlib 2.x for effective storytelling.
- Prepare high-quality figures and interactive charts for presentations.
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