I want to second the idea of broadcasting based on named axes/dimensions. I think it's a logical next step in the evolution of the array programming paradigm.
I particularly recommend checking out xarray. It has made my numpy-ish code like 90% shorter and it makes it trivial to juggle six+ dimensional arrays. If your data is on a grid (not shaped like a table/dataframe), I see no downsides to using xarray instead of bare numpy.
I particularly recommend checking out xarray. It has made my numpy-ish code like 90% shorter and it makes it trivial to juggle six+ dimensional arrays. If your data is on a grid (not shaped like a table/dataframe), I see no downsides to using xarray instead of bare numpy.