Create a one-by-two array with the full() function filled with the number 42 as follows:

>>> np.full((1, 2), 42)
array([[ 42.,  42.]])

As you can deduce from the output, the array elements are floating-point numbers, which is the default data type for NumPy arrays. Specify an integer data type as follows:

>>> np.full((1, 2), 42, dtype=np.int)
array([[42, 42]])

The full_like() function looks at the metadata of an input array and uses that information to create a new array, filled with a specified value. For instance, after creating an array with the linspace() function, use that as a template for the full_like() function:

>>> a = np.linspace(0, 1, 5)
>>> a
array([ 0.  ,  0.25,  0.5 ,  0.75,  1. ...