issue_comments: 1338290177

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https://github.com/pydata/xarray/issues/7350#issuecomment-1338290177 https://api.github.com/repos/pydata/xarray/issues/7350 1338290177 IC_kwDOAMm_X85PxLAB 221526 2022-12-05T22:56:30Z 2022-12-05T22:56:30Z CONTRIBUTOR

So I'll say that taking my dataset and running nc.squeeze() was illustrative to the problem here. I see now that if a Dataset has scalar coordinates, they apply to every DataArray/Variable inside. So I see what prompts the current behavior.

I think the mismatch in my mental model is due to me coming from netCDF CF land, where coordinates for a variable are based on: 1. Other variables that match relevant shared dimension names 2. Those explicitly listed in the coordinates attribute

I see now that xarray does NOT implement that model.

This was provoked by challenges creating a new DataArray, but I see those can be solved by passing in both dims and coords (when coords contains some scalar coords).

 
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