How to efficiently generate matrix from vector in numpy? [duplicate]

I have a function f(x):[0,1]-> Rⁿ such as:

>>> f(0.54)
array([0.2, 0.3, 4.0, 5.2, ... , 1.0])

How can I efficiently apply that to a vector, in order to generate a matrix?

Example:

>>> f([0.54, 0.32, 0.56, 0.21])
array([0.2, 0.3, 4.0, 5.2, ... , 1.0],
      [0.6, 0.1, 0.0, 2.3, ... , 4.7],
      [0.1, 7.1, 0.2, 4.9, ... , 3.1],
      [1.3, 2.8, 1.2, 1.1, ... , 5.3])

Note: numpy solutions are very welcome :)