Book Image

SciPy Recipes

By : V Kishore Ayyadevara, Ruben Oliva Ramos
Book Image

SciPy Recipes

By: V Kishore Ayyadevara, Ruben Oliva Ramos

Overview of this book

With the SciPy Stack, you get the power to effectively process, manipulate, and visualize your data using the popular Python language. Utilizing SciPy correctly can sometimes be a very tricky proposition. This book provides the right techniques so you can use SciPy to perform different data science tasks with ease. This book includes hands-on recipes for using the different components of the SciPy Stack such as NumPy, SciPy, matplotlib, and pandas, among others. You will use these libraries to solve real-world problems in linear algebra, numerical analysis, data visualization, and much more. The recipes included in the book will ensure you get a practical understanding not only of how a particular feature in SciPy Stack works, but also of its application to real-world problems. The independent nature of the recipes also ensure that you can pick up any one and learn about a particular feature of SciPy without reading through the other recipes, thus making the book a very handy and useful guide.
Table of Contents (11 chapters)

Calculating the Jordan form of a matrix

A Jordan block with value λ is a square, upper triangular matrix whose entries are all λ on the diagonal, 1 on the entries immediately above the diagonal, and 0 elsewhere.

Typical Jordan blocks of size 1, 2, and 3 look like the following:

A Jordan form matrix is a block diagonal matrix whose blocks are all Jordan blocks. For example, the following matrices are all Jordan form matrices:

In the first matrix among the preceding set of matrices, we should notice that the block on the top left [[1,1],[0,1]] is a Jordan block of size 2, while the matrix on the bottom right is a Jordan block of size 1.

How to do it…

In order to calculate the Jordan form of a matrix, we...