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 1
Knowing Your Data
Content Locked
Section 9
Importing Image Data into NumPy Arrays
In scientific computing, images are often represented as NumPy array data structures. We can import images using various techniques. In this video, we will take a look at using image processing in Python, mainly related to scientific processing and less on the artistic side of image manipulation. - Read and display an image - Convert the image into a one-channel ndarray, and zoom in using array slicing - Use numpy.memmap for large images