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You're reading from  Learning NumPy Array

Product typeBook
Published inJun 2014
Reading LevelIntermediate
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ISBN-139781783983902
Edition1st Edition
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Ivan Idris
Ivan Idris
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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.
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Creating a multidimensional array


Now that we know how to create a vector, we are ready to create a multidimensional NumPy array. After we create the matrix, we will again want to display its shape (see the arrayattributes.py file in the Chapter02 folder of this book's code bundle), as shown in the following code snippets:

  • To create a multidimensional array, see the following code:

    In: m = array([arange(2), arange(2)])
    In: m
    Out:
    array([[0, 1],[0, 1]])
  • To display the array shape, see the following lines of code:

    In: m.shape
    Out: (2, 2)

We created a 2 x 2 array with the arange() function. Without any warning, the array() function appeared on the stage.

The array() function creates an array from an object that you give to it. The object needs to be array-like, for instance, a Python list. In the preceding example, we passed in a list of arrays. The object is the only required argument of the array() function. NumPy functions tend to have a lot of optional arguments with predefined defaults.

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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