Now that we know how to create a vector, we are set to create a multidimensional NumPy array. After we produce the matrix, we will again need to show its shape (check arrayattributes.py from this book's code bundle), as demonstrated in the following code snippets:
Create a multidimensional array as follows:
In: m = array([arange(2), arange(2)]) In: m Out: array([[0, 1], [0, 1]])Show the array shape as follows:
In: m.shape Out: (2, 2)
We made a 2 x 2 array with the arange() subroutine. The array() function creates an array from an object that you pass to it. The object has to be an array, for example, a Python list. In the previous example, we passed a list of arrays. The object is the only required parameter of the array() function. NumPy functions tend to have a heap of optional arguments with predefined default options.