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Learning NumPy Array
book

Learning NumPy Array

by Ivan Idris
June 2014
Intermediate to advanced content levelIntermediate to advanced
164 pages
3h 8m
English
Packt Publishing
Content preview from Learning NumPy Array

Manipulating array shapes

Another recurring task is flattening of arrays. Flattening in this context means transforming a multidimensional array into a one-dimensional array. In this example, we will demonstrate a number of ways to manipulate array shapes starting with flattening:

  • ravel(): We can accomplish flattening with the ravel() function (see the shapemanipulation.py file in the Chapter02 folder of this book's code bundle), as shown in the following code:
    In: b
    Out:
    array([[[ 0,  1,  2,  3],[ 4,  5,  6,  7],[ 8,  9, 10, 11]],[[12, 13, 14, 15],[16, 17, 18, 19],[20, 21, 22, 23]]])
    In: b.ravel()
    Out:
    array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23])
  • flatten(): The appropriately-named function, flatten(), does ...
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Publisher Resources

ISBN: 9781783983902Supplemental Content