Mastering Matplotlib 2.x : Effective Data Visualization techniques with Python

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.