Now that we know how to create a vector, we are ready to create a multidimensional NumPy array. After we create the matrix, we would again want to display its shape.
Create a multidimensional array.
Show the array shape:
In: m = array([arange(2), arange(2)]) In: m Out: array([[0, 1], [0, 1]]) In: m.shape Out: (2, 2)
We created a two-by-two array with the arange function we have come to trust and love. 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.