November 2015
Beginner to intermediate
302 pages
6h 17m
English
book
Python Data Visualization Cookbook (Second Edition)
by Igor Milovanovic, Dimitry Foures, Giuseppe Vettigli
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Importing image data into NumPy arrays
We are going to demonstrate how to do image processing using Python's libraries such as NumPy and SciPy.
In scientific computing, images are usually seen as n-dimensional arrays. They are usually two-dimensional arrays; in our examples, they are represented as a NumPy array data structure. Therefore, functions and operations performed on those structures are seen as matrix operations.
Images in this sense are not always two-dimensional. For medical or bio-sciences, images are data structures of higher dimensions such as 3D (having the z axis as depth or as the time axis) or 4D (having three spatial dimensions and a temporal one as the fourth dimension). We will not be using those in this recipe.
We can import ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.