Book description
Build attractive, insightful, and powerful visualizations to gain quality insights from your data
Key Features
 Master Matplotlib for data visualization
 Customize basic plots to make and deploy figures in cloud environments
 Explore recipes to design various data visualizations from simple bar charts to advanced 3D plots
Book Description
Matplotlib provides a large library of customizable plots, along with a comprehensive set of backends. Matplotlib 3.0 Cookbook is your handson 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 thirdparty toolkits, such as axisartist, axes_grid, Cartopy, and Seaborn.
By the end of this book, you'll be able to create highquality customized plots and deploy them on the web and on supported GUI applications such as Tkinter, Qt 5, and wxPython by implementing realworld use cases and examples.
What you will learn
 Develop simple to advanced data visualizations in Matplotlib
 Use the pyplot API to quickly develop and deploy different plots
 Use objectoriented APIs for maximum flexibility with the customization of figures
 Develop interactive plots with animation and widgets
 Use maps for geographical plotting
 Enrich your visualizations using embedded texts and mathematical expressions
 Embed Matplotlib plots into other GUIs used for developing applications
 Use toolkits such as axisartist, axes_grid1, and cartopy to extend the base functionality of Matplotlib
Who this book is for
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.
Table of contents
 Title Page
 Copyright and Credits
 Packt Upsell
 Contributors
 Preface
 Anatomy of Matplotlib
 Getting Started with Basic Plots
 Plotting Multiple Charts, Subplots, and Figures

Developing Visualizations for Publishing Quality
 Introduction
 Color, line style, and marker customization
 Working with standard colormaps
 Userdefined colors and colormaps
 Working with legend
 Customizing labels and titles
 Using autoscale and axis limits
 Customizing ticks and ticklabels
 Customizing spines
 Twin axes
 Using hatch
 Using annotation
 Using style sheets
 Plotting with ObjectOriented API
 Plotting with Advanced Features
 Embedding Text and Expressions
 Saving the Figure in Different Formats

Developing Interactive Plots
 Introduction
 Events and callbacks
 Widgets
 Animation

Embedding Plots in a Graphical User Interface
 Introduction
 Using the Slider and Button Widgets of Matplotlib
 Using the Slider and Button widgets of Tkinter GUI
 Embedding Matplotlib in a Tkinter GUI application
 Using the Slider and Button widgets of WxPython GUI
 Embedding Matplotlib in to a wxPython GUI application
 Using the Slider and Button widgets of Qt's GUI
 Embedding Matplotlib in to a Qt GUI application
 Plotting 3D Graphs Using the mplot3d Toolkit
 Using the axisartist Toolkit

Using the axes_grid1 Toolkit
 Introduction
 Plotting twin axes using the axisartist and axesgrid1 toolkits
 Using AxesDivider to plot a scatter plot and associated histograms
 Using AxesDivider to plot a colorbar
 Using ImageGrid to plot images with a colorbar in a grid
 Using inset_locator to zoom in on an image
 Using inset_locator to plot inset axes

Plotting Geographical Maps Using Cartopy Toolkit
 Introduction
 Plotting basic map features
 Plotting projections
 Using grid lines and labels
 Plotting locations on the map
 Plotting country maps with political boundaries
 Plotting country maps using GeoPandas and cartopy
 Plotting populated places of the world
 Plotting the top five and bottom five populated countries
 Plotting temperatures across the globe
 Plotting time zones
 Plotting an animated map
 Exploratory Data Analysis Using the Seaborn Toolkit
 Other Books You May Enjoy
Product information
 Title: Matplotlib 3.0 Cookbook
 Author(s):
 Release date: October 2018
 Publisher(s): Packt Publishing
 ISBN: 9781789135718
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