Generating random numbers with predefined mean, std, min and max

For a research project I am working on, I need to generate a set of random (or pseudo-random) data (say 10,000 datum) with the following parameters:

• Maximum value = 35;
• Minimum Value = 1.5;
• Mean = 9.87;
• Standard Deviation = 3.1;

Now clearly this distribution will look somewhat like that generated with

scipy.stats.maxwell.rvs(locs=1.5,scale=3.1)

However this does not give the necessary mean or max value. Is there an a possible solution to this?