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Matplotlib for Python Developers : Effective techniques for data visualization with Python, 2nd Edition.
This book is essentially for anyone who wants to create intuitive data visualizations using the Matplotlib library. If you're a data scientist or analyst and wish to create attractive visualizations using Python, you'll find this book useful. Some knowledge of Python programming is all you...
| Clasificación: | Libro Electrónico |
|---|---|
| Autores principales: | , , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Birmingham :
Packt Publishing,
2018.
|
| Edición: | Second edition. |
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 100 | 1 | |a Yim, Aldrin, |e author. | |
| 245 | 1 | 0 | |a Matplotlib for Python Developers : |b Effective techniques for data visualization with Python, 2nd Edition. |
| 250 | |a Second edition. | ||
| 264 | 1 | |a Birmingham : |b Packt Publishing, |c 2018. | |
| 264 | 4 | |c ©2018. | |
| 300 | |a 1 online resource (v, 287 pages) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 500 | |a Previous edition authored by Sandro Tosi, published: 2009. | ||
| 505 | 0 | |a Chapter 1 : Introduction to Matplotlib -- What is Matplotlib? -- Setting up Matplotlib -- Chapter 2 : Getting Started with Matplotlib -- Loading data -- Our first plots with Matplotlib -- Adjusting axes, grids, labels, titles, and legends -- A complete example -- Saving plots to a file -- Configuring Matplotlib -- Chapter 3 : Decorating Graphs with Plot Styles and Types -- Controlling the colors -- Line and marker styles -- More native Matplotlib plot types -- Text and annotations -- Using style sheets -- Aesthetics and readability considerations in styling -- Chapter 4 : Advanced Matplotlib -- Drawing Subplots -- Adjusting axes and ticks -- More on Pandas-Matplotlib integration -- Expanding plot types with Seaborn -- Image plotting -- Financial plotting -- 3D plots with Axes3D --Geographical plotting -- Chapter 5 : Embedding Matplotlib in GTK+3 -- Installing and setting up GTK+3 -- Chapter 6 : Embedding Matplotlib in Qt 5 -- A brief introduction to Qt 5 and PyQt 5 -- Differences between Qt 4 and PyQt 4 -- Chapter 7 : Embedding Matplotlib in wxWidgets Using wxPython -- A brief introduction to wxWidgets and wxPython -- Chapter 8 : Integrating Matplotlib with Web Applications -- Installing Docker -- More about Django -- Showing Bitcoin prices using Django and Matplotlib -- Chapter 9 : Matplotlib in the Real World -- Typical API data formats -- Importing and visualizing data from a JSON API -- Scraping information from websites -- Matplotlib graphical backends -- Creating animated plot -- Chapter 10 : Integrating Data Visualization into the Workflow -- Getting started -- Visualizing sample images from the dataset -- Exploring the data nature by the t-SNE method -- Creating a CNN to recognize digits -- Evaluating prediction results with visualizations | |
| 520 | |a This book is essentially for anyone who wants to create intuitive data visualizations using the Matplotlib library. If you're a data scientist or analyst and wish to create attractive visualizations using Python, you'll find this book useful. Some knowledge of Python programming is all you need to get started. -- Provided by publisher. | ||
| 520 | 8 | |a Python is a general-purpose programming language increasingly being used for data analysis and visualization. Matplotlib is a popular data visualization package in Python used to design effective plots and graphs. This is a practical, hands-on resource to help you visualize data with Python using the Matplotlib library. Matplotlib for Python Developers, Second Edition shows you how to create attractive graphs, charts, and plots using Matplotlib. You will also get a quick introduction to third-party packages, Seaborn, Pandas, Basemap, and Geopandas, and learn how to use them with Matplotlib. After that, you'll embed and customize your plots in third-party tools such as GTK+3, Qt 5, and wxWidgets. You'll also be able to tweak the look and feel of your visualization with the help of practical examples provided in this book. Further on, you'll explore Matplotlib 2.1.x on the web, from a cloud-based platform using third-party packages such as Django. Finally, you will integrate interactive, real-time visualization techniques into your current workflow with the help of practical real-world examples. By the end of this book, you'll be thoroughly comfortable with using the popular Python data visualization library Matplotlib 2.1.x and leveraging its power to build attractive, insightful, and powerful visualizations. -- Provided by publisher. | |
| 590 | |a ProQuest Ebook Central |b Ebook Central Academic Complete | ||
| 650 | 0 | |a Python (Computer program language) | |
| 650 | 0 | |a Application software |x Development. | |
| 650 | 0 | |a Information visualization. | |
| 650 | 6 | |a Visualisation de l'information. | |
| 650 | 6 | |a Python (Langage de programmation) | |
| 650 | 6 | |a Logiciels d'application |x Développement. | |
| 650 | 7 | |a Information visualization |2 fast | |
| 700 | 1 | |a Chung, Claire, |e author. | |
| 700 | 1 | |a Yu, Allen, |e author. | |
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| 776 | 0 | 8 | |i Print version: |a Yim, Aldrin. |t Matplotlib for Python Developers : Effective techniques for data visualization with Python, 2nd Edition. |d Birmingham : Packt Publishing, ©2018 |
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