Data Visualization Recipes with Python and Matplotlib 3: Practical recipes for creating interactive data visualizations easily with Matplotlib 3

Harish Garg

BignumWorks Software LLP

€114.99

Video Feb 2019 1hr 27mins 1st Edition

Video

€114.99

Harish Garg

BignumWorks Software LLP

€114.99

Video Feb 2019 1hr 27mins 1st Edition

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Key benefits

• This course will help you visualize all kinds of datasets in Matplotlib 3 using practical
recipes that you can take and apply to your own data
• Each video is a standalone recipe that provides solutions for a data visualization
problem
• Enough Matplotlib 3 functionality is covered in this course for you to become an
excellent data visualization expert
• This course covers the latest version of Matplotlib 3

Description

Creating custom visualizations with Matplotlib on real-world data can be tricky, sometimes with a lot of different features and complex code. As a data analyst or a data scientist, you don’t want to get bogged down. You really want to get those Data visualizations in front of the audience. This course cuts down all the complexities and unnecessary details. It boils it down to the things you really need to get those visualizations going quickly and efficiently. The course gives you practical recipes to do what exactly needs to be done in the minimum amount of time. All the examples are based on real-world data with practical visualization solutions. By the end of the course, you’ll be able to get the most out of data visualizations where Matplotlib 3 is concerned. All the code files are present on GitHub : https://github.com/PacktPublishing/Data-Visualization-Recipes-with-Python-and-Matplotlib-3

Who is this book for?

This course is for Python developers, data scientists, and data analysts who are familiar with Matplotlib and want to get better and enhance their skills to create effective and interactive data visualizations. Knowledge of Python and NumPy is assumed.

What you will learn

• Draw various kinds of plots using Matplotlib
• Visualize and gain insights into a real-world dataset via different chart types
• Use practical recipes to draw subplots, histograms, heat maps, box plots, and pie
charts
• Customize plots and charts for data visualizations in an appealing way
• Build plots from the ground-up with scaffolding
• Manipulate plot, axes, and figures
• Build Matplotlib 3D graphs functionality to visualize data with multiple variables and dimensions
• Use wire framing techniques and plot complex data with Matplotlib 3
• Make your data visualizations animated and interactive
• Use Matplotlib 3’s animation and interactive capabilities to spice up your data
visualizations
• Use real-world dataset of stocks to learn the techniques
• Troubleshoot both common and tricky data visualizations while creating plots with
Matplotlib 3