Generating an array of uniformly distributed random numbers over a stated interval (not [0,1)) in numpy

I am aware of the numpy.random.rand() command, however there doesn't seem to be any variables allowing you to adjust the uniform interval in which the numbers are chosen to something other than [0,1).

I considered using a for loop i.e. initiating a zero array of the needed size, and using numpy.random.unifom(a,b,N) to generate N random numbers in the interval (a,b), and then putting these into the initiated array. This is clearly inelegant, although y main concern is the run time. I presume this method would have a much higher run time than using the appropriate random number generator from the start.