Matplotlib 2.x By Example:
bUnlock deeper insights into visualization in form of 2D and 3D graphs using Matplotlib 2.x/bh2About This Book/h2ulliCreate and customize live graphs, by adding style, color, font to make appealing graphs./liliA complete guide with insightful use cases and examples to perform data visualizations wit...
Saved in:
| Main Author: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Birmingham
Packt Publishing Limited
2017
|
| Edition: | 1 |
| Subjects: | |
| Summary: | bUnlock deeper insights into visualization in form of 2D and 3D graphs using Matplotlib 2.x/bh2About This Book/h2ulliCreate and customize live graphs, by adding style, color, font to make appealing graphs./liliA complete guide with insightful use cases and examples to perform data visualizations with Matplotlib's extensive toolkits./liliCreate timestamp data visualizations on 2D and 3D graphs in form of plots, histogram, bar charts, scatterplots and more./li/ulh2Who This Book Is For/h2This 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.h2What You Will Learn/h2ulliFamiliarize with the latest features in Matplotlib 2.x/liliCreate 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./liliMake clear and appealing figures for scientific publications./liliCreate interactive charts and animation./liliExtend the functionalities of Matplotlib with third-party packages, such as Basemap, GeoPandas, Mplot3d, Pandas, Scikit-learn, and Seaborn./liliDesign intuitive infographics for effective storytelling./li/ulh2In Detail/h2Big 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. |
| Physical Description: | 1 Online-Ressource (334 Seiten) |
| ISBN: | 9781788292139 |
Staff View
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| 520 | |a bUnlock deeper insights into visualization in form of 2D and 3D graphs using Matplotlib 2.x/bh2About This Book/h2ulliCreate and customize live graphs, by adding style, color, font to make appealing graphs./liliA complete guide with insightful use cases and examples to perform data visualizations with Matplotlib's extensive toolkits./liliCreate timestamp data visualizations on 2D and 3D graphs in form of plots, histogram, bar charts, scatterplots and more./li/ulh2Who This Book Is For/h2This 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. | ||
| 520 | |a Basic knowledge of Python is expected.h2What You Will Learn/h2ulliFamiliarize with the latest features in Matplotlib 2.x/liliCreate 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./liliMake clear and appealing figures for scientific publications./liliCreate interactive charts and animation./liliExtend the functionalities of Matplotlib with third-party packages, such as Basemap, GeoPandas, Mplot3d, Pandas, Scikit-learn, and Seaborn./liliDesign intuitive infographics for effective storytelling./li/ulh2In Detail/h2Big data analytics are driving innovations in scientific research, digital marketing, policy-making and much more. | ||
| 520 | |a 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. | ||
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| 650 | 4 | |a COMPUTERS / Data Modeling & | |
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| spelling | Yu, Allen Verfasser aut Matplotlib 2.x By Example Yu, Allen 1 Birmingham Packt Publishing Limited 2017 1 Online-Ressource (334 Seiten) txt rdacontent c rdamedia cr rdacarrier bUnlock deeper insights into visualization in form of 2D and 3D graphs using Matplotlib 2.x/bh2About This Book/h2ulliCreate and customize live graphs, by adding style, color, font to make appealing graphs./liliA complete guide with insightful use cases and examples to perform data visualizations with Matplotlib's extensive toolkits./liliCreate timestamp data visualizations on 2D and 3D graphs in form of plots, histogram, bar charts, scatterplots and more./li/ulh2Who This Book Is For/h2This 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.h2What You Will Learn/h2ulliFamiliarize with the latest features in Matplotlib 2.x/liliCreate 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./liliMake clear and appealing figures for scientific publications./liliCreate interactive charts and animation./liliExtend the functionalities of Matplotlib with third-party packages, such as Basemap, GeoPandas, Mplot3d, Pandas, Scikit-learn, and Seaborn./liliDesign intuitive infographics for effective storytelling./li/ulh2In Detail/h2Big 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. COMPUTERS / Data Visualization COMPUTERS / Data Modeling & Design Chung, Claire Sonstige oth Yim, Aldrin Sonstige oth |
| spellingShingle | Yu, Allen Matplotlib 2.x By Example COMPUTERS / Data Visualization COMPUTERS / Data Modeling & Design |
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