Wasserstein Distance

[rathoreAbhi0208]

I am using Great_expectation for my company's feature_quality Monitoring ML platform , and i need to detect drift between 2 different data i extracted from postgres. Can anyone help me with how can i use wasserstein distance on these data that i extracted from postgres?

Wasserstein Distance is in beta level , available in great_ecpectations_experimental and not clearly mentioned any usecase example