Optimally sample from multiple distributions

I have two datasets both of the form from the table below. I am interested in downselecting from dataset A by sampling from the distribution of values from dataset B. However, I want to consider both the Distance and Duration when downselecting such that the distribution of both parameters in my end-product from dataset A matches as best as possible the distribution of these parameters from dataset B.

Anyone have suggestions for tools (preferably in python) that would help me here?