Creating a multidimensional array

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 it, as demonstrated in the following code snippets:

1. Create a multidimensional array as follows:

           In: m = np.array([np.arange(2), np.arange(2)]) 
           In: m 
           Out: 
           array([[0, 1], 
                  [0, 1]]) 
   

2. We can show the array shape as follows:

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

We made a 2x2 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.