issue_comments: 217171905

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https://github.com/pydata/xarray/pull/844#issuecomment-217171905 https://api.github.com/repos/pydata/xarray/issues/844 217171905 MDEyOklzc3VlQ29tbWVudDIxNzE3MTkwNQ== 950575 2016-05-05T14:40:09Z 2016-05-10T22:47:52Z CONTRIBUTOR

Well, if you guys are mostly excited about using this for coordinate variables, another consistent choice would be to return a list of matching DataArrays. But if we want to return a Dataset, we should only do data variables, because it's weird to lose all the describing coordinates when you match, e.g., standard_name="air_temperature".

We agree with you and I prefer to return a Dataset.

Right now we always go to netCDF4-python to do this low-level CF interpretation stuff. If we start using xarray for that task we should improve xarray, to take advantage of the conventions (CF/SGRID/UGRID), instead of using xarray to just find the coords data. (For example: creating the z coordinates from non-dimension coordinates and add that to the Dataset coords automatically.)

 
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