Matplotlib for Python Developers

Leverage the power of Matplotlib to visualize and understand your data more effectivelyKey FeaturesPerform effective data visualization with Matplotlib and get actionable insights from your dataDesign attractive graphs charts and 2D plots and deploy them to the webGet the most out of Matplotlib in this practical guide with updated code and examplesBook DescriptionPython 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.What you will learnCreate 2D and 3D static plots such as bar charts heat maps and scatter plotsGet acquainted with GTK+3 Qt5 and wxWidgets to understand the UI backend of MatplotlibDevelop advanced static plots with third-party packages such as Pandas GeoPandas and SeabornCreate interactive plots with real-time updatesDevelop web-based Matplotlib-powered graph visualizations with third-party packages such as DjangoWrite data visualization code that is readily expandable on the cloud platformWho this book is forThis 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.