issue_comments: 852174014

@aaronspring I'm a bit confused by your comment.

The (proposed) API in #5400 does have a Dataset.hist() method, but it would just create an N-D histogram of the N variables in the dataset. The idea being that if I had only loaded the variables of interest I could immediately make the histogram of interest, e.g. python ds = open(file, vars=['temperature', 'salinity']) ds.hist() # creates 2D temperature-salinity histogram

That's not the same thing as using Datasets as bins though - but I'm not really sure I understand the use case for that or what that allows? You can already choose different bins to use for each input variable, are you saying it would be neater if you could assign bins to input variables via a dict-like dataset rather than the arguments being in the corresponding positions in a list?

The example you linked doesn't pass datasets as bins either, it just loops over multiple input datasets and assumes you want to calculate joint histograms between those datasets.