Reader small image

You're reading from  Learning NumPy Array

Product typeBook
Published inJun 2014
Reading LevelIntermediate
Publisher
ISBN-139781783983902
Edition1st Edition
Languages
Tools
Concepts
Right arrow
Author (1)
Ivan Idris
Ivan Idris
author image
Ivan Idris

Ivan Idris has an MSc in experimental physics. His graduation thesis had a strong emphasis on applied computer science. After graduating, he worked for several companies as a Java developer, data warehouse developer, and QA analyst. His main professional interests are business intelligence, big data, and cloud computing. Ivan Idris enjoys writing clean, testable code and interesting technical articles. Ivan Idris is the author of NumPy 1.5. Beginner's Guide and NumPy Cookbook by Packt Publishing.
Read more about Ivan Idris

Right arrow

Fancy indexing


Fancy indexing is indexing that does not involve integers or slices, which is normal indexing. In this section, we will apply fancy indexing to set the diagonal values of the Lena image to 0. This will draw black lines along the diagonals, crossing it through, not because there is something wrong with the image, but just as an exercise. Perform the following steps for fancy indexing:

  1. Set the values of the first diagonal to 0. To set the diagonal values to 0, we need to define two different ranges for the x and y values as follows:

    lena[range(xmax), range(ymax)] = 0
  2. Now, set the values of the other diagonal to 0. To set the values of the other diagonal, we require a different set of ranges, but the principles stay the same, as follows:

    lena[range(xmax-1,-1,-1), range(ymax)] = 0

At the end we get the following image with the diagonals crossed out:

The following code for this section is without comments. The complete code for this is in the fancy.py file in the Chapter02 folder of...

lock icon
The rest of the page is locked
Previous PageNext Page
You have been reading a chapter from
Learning NumPy Array
Published in: Jun 2014Publisher: ISBN-13: 9781783983902

Author (1)

author image
Ivan Idris

Ivan Idris has an MSc in experimental physics. His graduation thesis had a strong emphasis on applied computer science. After graduating, he worked for several companies as a Java developer, data warehouse developer, and QA analyst. His main professional interests are business intelligence, big data, and cloud computing. Ivan Idris enjoys writing clean, testable code and interesting technical articles. Ivan Idris is the author of NumPy 1.5. Beginner's Guide and NumPy Cookbook by Packt Publishing.
Read more about Ivan Idris