issue_comments: 1027064212

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https://github.com/pydata/xarray/issues/6196#issuecomment-1027064212 https://api.github.com/repos/pydata/xarray/issues/6196 1027064212 IC_kwDOAMm_X849N8GU 35968931 2022-02-01T16:59:51Z 2022-02-01T16:59:51Z MEMBER

For now, I wasn't able to reproduce a minimalist example because the error disappears with minimalist example. I wasn't able to find the fundamental difference between the dataset causing the error and the minimalist one. Printing them are exactly the same.

Can you perhaps use ncdump to show the differences?

However, I do not understand why it should also be a "label" of the other coordinates of the dataset. A singleton dimension should not be "more important" than the other (not singleton) dimensions. Why the singleton dimension should become a "label" of another dimension while the other dimensions are not. This do not seem logical to me.

I'm not quite sure I understand what you mean - currently aren't all coordinates reattached to any coordinate extracted from a DataArray? (so long as they have compatible dimensions)

 
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