Matplotlib 3.0 Cookbook: Over 150 recipes to create highly detailed interactive visualizations using Python
bBuild attractive, insightful, and powerful visualizations to gain quality insights from your data/b h4Key Features/h4 ulliMaster Matplotlib for data visualization /li liCustomize basic plots to make and deploy figures in cloud environments /li liExplore recipes to design various data visualizations...
Saved in:
| Main Author: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Birmingham
Packt Publishing Limited
2018
|
| Edition: | 1 |
| Subjects: | |
| Online Access: | UER01 |
| Summary: | bBuild attractive, insightful, and powerful visualizations to gain quality insights from your data/b h4Key Features/h4 ulliMaster Matplotlib for data visualization /li liCustomize basic plots to make and deploy figures in cloud environments /li liExplore recipes to design various data visualizations from simple bar charts to advanced 3D plots /li /ul h4Book Description/h4 Matplotlib provides a large library of customizable plots, along with a comprehensive set of backends. Matplotlib 3.0 Cookbook is your hands-on guide to exploring the world of Matplotlib, and covers the most effective plotting packages for Python 3.7. With the help of this cookbook, you'll be able to tackle any problem you might come across while designing attractive, insightful data visualizations. With the help of over 150 recipes, you'll learn how to develop plots related to business intelligence, data science, and engineering disciplines with highly detailed visualizations. Once you've familiarized yourself with the fundamentals, you'll move on to developing professional dashboards with a wide variety of graphs and sophisticated grid layouts in 2D and 3D. You'll annotate and add rich text to the plots, enabling the creation of a business storyline. In addition to this, you'll learn how to save figures and animations in various formats for downstream deployment, followed by extending the functionality offered by various internal and third-party toolkits, such as axisartist, axes_grid, Cartopy, and Seaborn. By the end of this book, you'll be able to create high-quality customized plots and deploy them on the web and on supported GUI applications such as Tkinter, Qt 5, and wxPython by implementing real-world use cases and examples. h4What you will learn/h4 ulliDevelop simple to advanced data visualizations in Matplotlib /li liUse the pyplot API to quickly develop and deploy different plots /li liUse object-oriented APIs for maximum flexibility with the customization of figures /li liDevelop interactive plots with animation and widgets /li liUse maps for geographical plotting /li liEnrich your visualizations using embedded texts and mathematical expressions /li liEmbed Matplotlib plots into other GUIs used for developing applications /li liUse toolkits such as axisartist, axes_grid1, and cartopy to extend the base functionality of Matplotlib/li/ul h4Who this book is for/h4 The Matplotlib 3.0 Cookbook is for you if you are a data analyst, data scientist, or Python developer looking for quick recipes for a multitude of visualizations. This book is also for those who want to build variations of interactive visualizations |
| Physical Description: | 1 Online-Ressource (676 Seiten) |
| ISBN: | 9781789138665 |
Staff View
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| 520 | |a bBuild attractive, insightful, and powerful visualizations to gain quality insights from your data/b h4Key Features/h4 ulliMaster Matplotlib for data visualization /li liCustomize basic plots to make and deploy figures in cloud environments /li liExplore recipes to design various data visualizations from simple bar charts to advanced 3D plots /li /ul h4Book Description/h4 Matplotlib provides a large library of customizable plots, along with a comprehensive set of backends. Matplotlib 3.0 Cookbook is your hands-on guide to exploring the world of Matplotlib, and covers the most effective plotting packages for Python 3.7. With the help of this cookbook, you'll be able to tackle any problem you might come across while designing attractive, insightful data visualizations. With the help of over 150 recipes, you'll learn how to develop plots related to business intelligence, data science, and engineering disciplines with highly detailed visualizations. | ||
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| spelling | Poladi, Srinivasa Rao Verfasser aut Matplotlib 3.0 Cookbook Over 150 recipes to create highly detailed interactive visualizations using Python Poladi, Srinivasa Rao 1 Birmingham Packt Publishing Limited 2018 1 Online-Ressource (676 Seiten) txt rdacontent c rdamedia cr rdacarrier bBuild attractive, insightful, and powerful visualizations to gain quality insights from your data/b h4Key Features/h4 ulliMaster Matplotlib for data visualization /li liCustomize basic plots to make and deploy figures in cloud environments /li liExplore recipes to design various data visualizations from simple bar charts to advanced 3D plots /li /ul h4Book Description/h4 Matplotlib provides a large library of customizable plots, along with a comprehensive set of backends. Matplotlib 3.0 Cookbook is your hands-on guide to exploring the world of Matplotlib, and covers the most effective plotting packages for Python 3.7. With the help of this cookbook, you'll be able to tackle any problem you might come across while designing attractive, insightful data visualizations. With the help of over 150 recipes, you'll learn how to develop plots related to business intelligence, data science, and engineering disciplines with highly detailed visualizations. Once you've familiarized yourself with the fundamentals, you'll move on to developing professional dashboards with a wide variety of graphs and sophisticated grid layouts in 2D and 3D. You'll annotate and add rich text to the plots, enabling the creation of a business storyline. In addition to this, you'll learn how to save figures and animations in various formats for downstream deployment, followed by extending the functionality offered by various internal and third-party toolkits, such as axisartist, axes_grid, Cartopy, and Seaborn. By the end of this book, you'll be able to create high-quality customized plots and deploy them on the web and on supported GUI applications such as Tkinter, Qt 5, and wxPython by implementing real-world use cases and examples. h4What you will learn/h4 ulliDevelop simple to advanced data visualizations in Matplotlib /li liUse the pyplot API to quickly develop and deploy different plots /li liUse object-oriented APIs for maximum flexibility with the customization of figures /li liDevelop interactive plots with animation and widgets /li liUse maps for geographical plotting /li liEnrich your visualizations using embedded texts and mathematical expressions /li liEmbed Matplotlib plots into other GUIs used for developing applications /li liUse toolkits such as axisartist, axes_grid1, and cartopy to extend the base functionality of Matplotlib/li/ul h4Who this book is for/h4 The Matplotlib 3.0 Cookbook is for you if you are a data analyst, data scientist, or Python developer looking for quick recipes for a multitude of visualizations. This book is also for those who want to build variations of interactive visualizations COMPUTERS / Data Visualization COMPUTERS / Data Modeling & Design |
| spellingShingle | Poladi, Srinivasa Rao Matplotlib 3.0 Cookbook Over 150 recipes to create highly detailed interactive visualizations using Python COMPUTERS / Data Visualization COMPUTERS / Data Modeling & Design |
| title | Matplotlib 3.0 Cookbook Over 150 recipes to create highly detailed interactive visualizations using Python |
| title_auth | Matplotlib 3.0 Cookbook Over 150 recipes to create highly detailed interactive visualizations using Python |
| title_exact_search | Matplotlib 3.0 Cookbook Over 150 recipes to create highly detailed interactive visualizations using Python |
| title_exact_search_txtP | Matplotlib 3.0 Cookbook Over 150 recipes to create highly detailed interactive visualizations using Python |
| title_full | Matplotlib 3.0 Cookbook Over 150 recipes to create highly detailed interactive visualizations using Python Poladi, Srinivasa Rao |
| title_fullStr | Matplotlib 3.0 Cookbook Over 150 recipes to create highly detailed interactive visualizations using Python Poladi, Srinivasa Rao |
| title_full_unstemmed | Matplotlib 3.0 Cookbook Over 150 recipes to create highly detailed interactive visualizations using Python Poladi, Srinivasa Rao |
| title_short | Matplotlib 3.0 Cookbook |
| title_sort | matplotlib 3 0 cookbook over 150 recipes to create highly detailed interactive visualizations using python |
| title_sub | Over 150 recipes to create highly detailed interactive visualizations using Python |
| topic | COMPUTERS / Data Visualization COMPUTERS / Data Modeling & Design |
| topic_facet | COMPUTERS / Data Visualization COMPUTERS / Data Modeling & Design |
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