Book Image

Python Data Visualization Solutions [Video]

By : Dimitry Foures, Giuseppe Vettigli, Igor Milovanović
Book Image

Python Data Visualization Solutions [Video]

By: Dimitry Foures, Giuseppe Vettigli, Igor Milovanović

Overview of this book

<p>Effective visualization can help you get better insights from your data, and help you make better and more informed business decisions.</p> <p>This video starts by showing you how to set up matplotlib and other Python libraries that are required for most parts of the course, before moving on to discuss various widely used diagrams and charts such as Gantt Charts. As you will go through the course, you will get to know about various 3D diagrams and animations. As maps are irreplaceable to display geo-spatial data, this course will show you how to build them. In the last section, we’ll take you on a thorough walkthrough of incorporating matplotlib into various environments and how to create Gantt charts using Python.</p> <p>With practical, precise, and reproducible videos, you will get a better understanding of the data visualization concepts, how to apply them, and how you can overcome any challenge while implementing them.</p> <h1>Style and Approach</h1> <p>This course follows a step-by-step, recipe-based approach so you understand various aspects of data visualization. The topics are explained sequentially through a code snippet and the resulting visualization.</p>
Table of Contents (7 chapters)
Chapter 7
More on matplotlib Gems
Content Locked
Section 3
Making Gantt Charts
One form of very widely used visualization of time-based data is a Gantt chart. Let us see how to work with it! - Load TEST_DATA and instantiate the Gantt class with TEST_DATA - Process all tasks by plotting horizontal bars on the axes - Format the x and y axes for the data - Tighten the layout