September 2014
Intermediate to advanced
512 pages
12h 39m
English
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Making efficient array selections in NumPy
NumPy offers several ways of selecting slices of arrays. Array views refer to the original data buffer of an array, but with different offsets, shapes, and strides. They only permit strided selections (that is, with linearly spaced indices). NumPy also offers specific functions to make arbitrary selections along one axis. Finally, fancy indexing is the most general selection method, but it is also the slowest as we will see in this recipe. Faster alternatives should be chosen when possible.
Getting ready
We suppose that NumPy has been imported and that the id function has been defined (see the Understanding the internals of NumPy to avoid unnecessary array copying recipe).
How to do it...
- Let's create an ...
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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.
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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.