Reader small image

You're reading from  Scientific Computing with Python - Second Edition

Product typeBook
Published inJul 2021
Reading LevelIntermediate
PublisherPackt
ISBN-139781838822323
Edition2nd Edition
Languages
Right arrow
Authors (3):
Claus Führer
Claus Führer
author image
Claus Führer

Claus Führer is a professor of scientific computations at Lund University, Sweden. He has an extensive teaching record that includes intensive programming courses in numerical analysis and engineering mathematics across various levels in many different countries and teaching environments. Claus also develops numerical software in research collaboration with industry and received Lund University's Faculty of Engineering Best Teacher Award in 2016.
Read more about Claus Führer

View More author details
Right arrow

4.8.2 Array functions

There are a number of functions acting on arrays that do not act componentwise. Examples of such functions are max, min, and sum. These functions may operate on the entire matrix, row-wise, or column-wise. When no argument is provided, they act on the entire matrix.

Suppose:

The function sum acting on that matrix returns a scalar:

sum(A) # 36

The command has an optional parameter, axis. It allows us to choose along which axis to perform the operation. For instance, if the axis is , it means that the sum should be computed along the first axis. The sum along axis  of an array of shape  will be a vector of length .

Suppose we compute the sum of A along the axis :

sum(A, axis=0) # array([ 6, 8, 10, 12])

This amounts to computing the sum on the columns:

The result is a vector:

Now suppose we compute the sum along axis 1:

A.sum(axis=1) # array([10, 26])

This amounts to computing...

lock icon
The rest of the page is locked
Previous PageNext Page
You have been reading a chapter from
Scientific Computing with Python - Second Edition
Published in: Jul 2021Publisher: PacktISBN-13: 9781838822323

Authors (3)

author image
Claus Führer

Claus Führer is a professor of scientific computations at Lund University, Sweden. He has an extensive teaching record that includes intensive programming courses in numerical analysis and engineering mathematics across various levels in many different countries and teaching environments. Claus also develops numerical software in research collaboration with industry and received Lund University's Faculty of Engineering Best Teacher Award in 2016.
Read more about Claus Führer