difference between numpy randint and floor of rand

num_draws = int(1e6)
arr1 = np.random.randint(0, 10, num_draws)
arr2 = np.floor(10*np.random.rand(num_draws))

Could someone with expertise in the internals of numpy.random comment on whether arr2 obeys formally equivalent statistics to arr1? In experiments I have done, the distributions appear to have the same first few moments, but that's all I have checked thus far.