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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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Mastering Matplotlib 2.x: Effective Data Visualization techniques with Python
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Mastering Matplotlib 2.x
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Mastering Matplotlib 2.x
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PAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Codice articolo L0-9781789617696
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Mastering Matplotlib 2.x
Editore:
Packt Publishing Limited, GB, 2018
ISBN 10: 1789617693
ISBN 13: 9781789617696
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Da: Rarewaves USA, OSWEGO, IL, U.S.A.
Valutazione del venditore 5 su 5 stelle
Paperback. Condizione: New. Understand and build beautiful and advanced plots with Matplotlib and PythonKey FeaturesPractical guide with hands-on examples to design interactive plotsAdvanced techniques to constructing complex plotsExplore 3D plotting and visualization using Jupyter NotebookBook DescriptionIn 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 CookbookWhat you will learnDeal with non-trivial and unusual plotsUnderstanding Basemap methodsCustomize and represent data in 3D Construct Non-Cartesian and vector plotsDesign interactive plots using Jupyter NotebookMake movies for enhanced data representationWho this book is forThis book is aimed at individuals who want to explore data visualization techniques. A basic knowledge of Matplotlib and Python is required. Effective Data Visualization Techniques with Python ed. Codice articolo LU-9781789617696
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Mastering Matplotlib 2.x (Paperback or Softback)
Editore:
Packt Publishing 11/30/2018, 2018
ISBN 10: 1789617693
ISBN 13: 9781789617696
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Paperback or Softback
Da: BargainBookStores, Grand Rapids, MI, U.S.A.
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Paperback or Softback. Condizione: New. Mastering Matplotlib 2.x 0.83. Book. Codice articolo BBS-9781789617696
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Mastering Matplotlib 2.x
Editore:
Packt Publishing Limited, GB, 2018
ISBN 10: 1789617693
ISBN 13: 9781789617696
Nuovo
Paperback
Da: Rarewaves.com UK, London, Regno Unito
Valutazione del venditore 5 su 5 stelle
Paperback. Condizione: New. Understand and build beautiful and advanced plots with Matplotlib and PythonKey FeaturesPractical guide with hands-on examples to design interactive plotsAdvanced techniques to constructing complex plotsExplore 3D plotting and visualization using Jupyter NotebookBook DescriptionIn 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 CookbookWhat you will learnDeal with non-trivial and unusual plotsUnderstanding Basemap methodsCustomize and represent data in 3D Construct Non-Cartesian and vector plotsDesign interactive plots using Jupyter NotebookMake movies for enhanced data representationWho this book is forThis book is aimed at individuals who want to explore data visualization techniques. A basic knowledge of Matplotlib and Python is required. Effective Data Visualization Techniques with Python ed. Codice articolo LU-9781789617696
Quantità: Più di 20 disponibili
Immagini fornite dal venditore
Mastering Matplotlib 2.x
Editore:
Packt Publishing Limited, GB, 2018
ISBN 10: 1789617693
ISBN 13: 9781789617696
Nuovo
Paperback
Da: Rarewaves USA United, OSWEGO, IL, U.S.A.
Valutazione del venditore 5 su 5 stelle
Paperback. Condizione: New. Understand and build beautiful and advanced plots with Matplotlib and PythonKey FeaturesPractical guide with hands-on examples to design interactive plotsAdvanced techniques to constructing complex plotsExplore 3D plotting and visualization using Jupyter NotebookBook DescriptionIn 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 CookbookWhat you will learnDeal with non-trivial and unusual plotsUnderstanding Basemap methodsCustomize and represent data in 3D Construct Non-Cartesian and vector plotsDesign interactive plots using Jupyter NotebookMake movies for enhanced data representationWho this book is forThis book is aimed at individuals who want to explore data visualization techniques. A basic knowledge of Matplotlib and Python is required. Effective Data Visualization Techniques with Python ed. Codice articolo LU-9781789617696
Quantità: Più di 20 disponibili
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Mastering Matplotlib 2.x: Effective Data Visualization techniques with Python
Da: Ria Christie Collections, Uxbridge, Regno Unito
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Mastering Matplotlib 2.x
Da: GreatBookPrices, Columbia, MD, U.S.A.
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Condizione: New. Codice articolo 34772552-n
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Immagini fornite dal venditore
Mastering Matplotlib 2.x
Editore:
Packt Publishing Limited, GB, 2018
ISBN 10: 1789617693
ISBN 13: 9781789617696
Nuovo
Paperback
Da: Rarewaves.com USA, London, LONDO, Regno Unito
Valutazione del venditore 5 su 5 stelle
Paperback. Condizione: New. Understand and build beautiful and advanced plots with Matplotlib and PythonKey FeaturesPractical guide with hands-on examples to design interactive plotsAdvanced techniques to constructing complex plotsExplore 3D plotting and visualization using Jupyter NotebookBook DescriptionIn 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 CookbookWhat you will learnDeal with non-trivial and unusual plotsUnderstanding Basemap methodsCustomize and represent data in 3D Construct Non-Cartesian and vector plotsDesign interactive plots using Jupyter NotebookMake movies for enhanced data representationWho this book is forThis book is aimed at individuals who want to explore data visualization techniques. A basic knowledge of Matplotlib and Python is required. Effective Data Visualization Techniques with Python ed. Codice articolo LU-9781789617696
Quantità: Più di 20 disponibili