python numpy machine epsilon

I am trying to understand what is machine epsilon. According to the Wikipedia, it can be calculated as follows:

    def machineEpsilon(func=float):
        machine_epsilon = func(1)
        while func(1)+func(machine_epsilon) != func(1):
            machine_epsilon_last = machine_epsilon
            machine_epsilon = func(machine_epsilon) / func(2)
        return machine_epsilon_last

However, it is suitable only for double precision numbers. I am interested in modifying it to support also single precision numbers. I read that numpy can be used, particularly numpy.float32 class. Can anybody help with modifying the function?

An easier way to get the machine epsilon for a given float type is to use np.finfo():

    # 2.22044604925e-16

    # 1.19209e-07