Matplotlib 2.x by example: multi-dimensional charts, graphs, and plots
Unlock deeper insights into visualization in form of 2D and 3D graphs using Matplotlib 2.x About This Book Create 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&#...
Gespeichert in:
| Beteiligte Personen: | , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Birmingham, UK
Packt Publishing
2017
|
| Schlagwörter: | |
| Links: | https://learning.oreilly.com/library/view/-/9781788295260/?ar |
| Zusammenfassung: | Unlock deeper insights into visualization in form of 2D and 3D graphs using Matplotlib 2.x About This Book Create 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 For This 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 Learn Familiarize with the latest features in Matplotlib 2.x Create 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 Detail Big 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 approach Step by step comprehensive guide filled with real world examples. |
| Beschreibung: | Online resource; title from title page (Safari, viewed September 25, 2017) |
| Umfang: | 1 Online-Ressource (1 volume) illustrations |
| ISBN: | 1788292138 9781788292139 9781788295260 |
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| 520 | |a Unlock deeper insights into visualization in form of 2D and 3D graphs using Matplotlib 2.x About This Book Create 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 For This 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 Learn Familiarize with the latest features in Matplotlib 2.x Create 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 Detail Big 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 approach Step by step comprehensive guide filled with real world examples. | ||
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| spelling | Yu, Allen Chi Shing VerfasserIn aut Matplotlib 2.x by example multi-dimensional charts, graphs, and plots Allen Chi Shing Yu, Claire Yik Lok Chung, Aldrin Kay Yuen Yim Birmingham, UK Packt Publishing 2017 1 Online-Ressource (1 volume) illustrations Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Online resource; title from title page (Safari, viewed September 25, 2017) Unlock deeper insights into visualization in form of 2D and 3D graphs using Matplotlib 2.x About This Book Create 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 For This 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 Learn Familiarize with the latest features in Matplotlib 2.x Create 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 Detail Big 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 approach Step by step comprehensive guide filled with real world examples. Python (Computer program language) Information visualization Python (Langage de programmation) Visualisation de l'information COMPUTERS ; Data Processing COMPUTERS ; Data Visualization COMPUTERS ; Data Modeling & Design Chung, Claire Yik Lok VerfasserIn aut Yim, Aldrin Kay Yuen VerfasserIn aut |
| spellingShingle | Yu, Allen Chi Shing Chung, Claire Yik Lok Yim, Aldrin Kay Yuen Matplotlib 2.x by example multi-dimensional charts, graphs, and plots Python (Computer program language) Information visualization Python (Langage de programmation) Visualisation de l'information COMPUTERS ; Data Processing COMPUTERS ; Data Visualization COMPUTERS ; Data Modeling & Design |
| title | Matplotlib 2.x by example multi-dimensional charts, graphs, and plots |
| title_auth | Matplotlib 2.x by example multi-dimensional charts, graphs, and plots |
| title_exact_search | Matplotlib 2.x by example multi-dimensional charts, graphs, and plots |
| title_full | Matplotlib 2.x by example multi-dimensional charts, graphs, and plots Allen Chi Shing Yu, Claire Yik Lok Chung, Aldrin Kay Yuen Yim |
| title_fullStr | Matplotlib 2.x by example multi-dimensional charts, graphs, and plots Allen Chi Shing Yu, Claire Yik Lok Chung, Aldrin Kay Yuen Yim |
| title_full_unstemmed | Matplotlib 2.x by example multi-dimensional charts, graphs, and plots Allen Chi Shing Yu, Claire Yik Lok Chung, Aldrin Kay Yuen Yim |
| title_short | Matplotlib 2.x by example |
| title_sort | matplotlib 2 x by example multi dimensional charts graphs and plots |
| title_sub | multi-dimensional charts, graphs, and plots |
| topic | Python (Computer program language) Information visualization Python (Langage de programmation) Visualisation de l'information COMPUTERS ; Data Processing COMPUTERS ; Data Visualization COMPUTERS ; Data Modeling & Design |
| topic_facet | Python (Computer program language) Information visualization Python (Langage de programmation) Visualisation de l'information COMPUTERS ; Data Processing COMPUTERS ; Data Visualization COMPUTERS ; Data Modeling & Design |
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