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Numpy Beginner's Guide (Update)

You're reading from   Numpy Beginner's Guide (Update) Build efficient, high-speed programs using the high-performance NumPy mathematical library

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Product type Paperback
Published in Jun 2015
Publisher
ISBN-13 9781785281969
Length 348 pages
Edition 1st Edition
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Author (1):
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Ivan Idris Ivan Idris
Author Profile Icon Ivan Idris
Ivan Idris
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Table of Contents (16) Chapters Close

Preface 1. NumPy Quick Start FREE CHAPTER 2. Beginning with NumPy Fundamentals 3. Getting Familiar with Commonly Used Functions 4. Convenience Functions for Your Convenience 5. Working with Matrices and ufuncs 6. Moving Further with NumPy Modules 7. Peeking into Special Routines 8. Assuring Quality with Testing 9. Plotting with matplotlib 10. When NumPy Is Not Enough – SciPy and Beyond 11. Playing with Pygame A. Pop Quiz Answers B. Additional Online Resources C. NumPy Functions' References
Index

Time for action – partial sorting via selection for a fast median with the partition() function

The partition() function does partial sorting, which should be faster than full sorting, because it's less work.

Note

For more information, please refer to http://en.wikipedia.org/wiki/Partial_sorting. A common use case is getting the top 10 elements of a collection. Partial sorting doesn't guarantee the correct order within the group of top elements itself.

The first argument of the function is the array to partially sort. The second argument is an integer or a sequence of integers corresponding to indices of array elements. The partition() function sorts elements in those indices correctly. With one specified index, we get two partitions; with multiple indices, we get more than one partition. The sorting algorithm makes sure that elements in partitions, which are smaller than a correctly sorted element, come before this element. Otherwise, they are placed behind this element....

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