Mastering Matplotlib 2.x
Benjamin Keller
Venduto da preigu, Osnabrück, Germania
Venditore AbeBooks dal 5 agosto 2024
Nuovi - Brossura
Condizione: Nuovo
Spedito da Germania a U.S.A.
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Aggiungere al carrelloVenduto da preigu, Osnabrück, Germania
Venditore AbeBooks dal 5 agosto 2024
Condizione: Nuovo
Quantità: 5 disponibili
Aggiungere al carrelloMastering Matplotlib 2.x | Benjamin Keller | Taschenbuch | Englisch | 2018 | Packt Publishing | EAN 9781789617696 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
Codice articolo 115118613
Understand and build beautiful and advanced plots with Matplotlib and Python
Key Features:
- Practical guide with hands-on examples to design interactive plots
- Advanced techniques to constructing complex plots
- Explore 3D plotting and visualization using Jupyter Notebook
Book Description:
In this book, you'll get hands-on with customizing your data plots with the help of Matplotlib. You'll start with customizing plots, making a handful of special-purpose plots, and building 3D plots. You'll explore non-trivial layouts, Pylab customization, and more about tile configuration. You'll be able to add text, put lines in plots, and also handle polygons, shapes, and annotations. Non-Cartesian and vector plots are exciting to construct, and you'll explore them further in this book. You'll delve into niche plots and visualize ordinal and tabular data. In this book, you'll be exploring 3D plotting, one of the best features when it comes to 3D data visualization, along with Jupyter Notebook, widgets, and creating movies for enhanced data representation. Geospatial plotting will also be explored. Finally, you'll learn how to create interactive plots with the help of Jupyter.
Learn expert techniques for effective data visualization using Matplotlib 3 and Python with our latest offering -- Matplotlib 3.0 Cookbook
What You Will Learn:
- Deal with non-trivial and unusual plots
- Understanding Basemap methods
- Customize and represent data in 3D
- Construct Non-Cartesian and vector plots
- Design interactive plots using Jupyter Notebook
- Make movies for enhanced data representation
Who this book is for:
This book is aimed at individuals who want to explore data visualization techniques. A basic knowledge of Matplotlib and Python is required.
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