issue_comments: 650903191

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https://github.com/pydata/xarray/issues/3390#issuecomment-650903191 https://api.github.com/repos/pydata/xarray/issues/3390 650903191 MDEyOklzc3VlQ29tbWVudDY1MDkwMzE5MQ== 1053153 2020-06-29T04:52:11Z 2020-06-29T04:52:11Z CONTRIBUTOR

What about the case of no missing values, when other wouldn't be needed? Could the same dtype be returned then? This is my case, since I'm re-purposing where to do sel for non-dimension coordinates.

Could you give a concrete example of what this would look like?

It seems rather unlikely to me to have an example of where with drop=True where the condition is exactly aligned with the grid, such that there are no missing values.

I guess it could happen if you're trying to index out exactly one element along a dimension?

That's exactly right. I am just selecting one slice of a data array, using data.where(data.coords['stain'] == 'DAPI').

In the long term, the cleaner solution for this will be some form for support for more flexibly / multi-dimensional indexing.

Agreed. Once I actually get things running, I'll be ready to try and contribute fixes for all my TODOs that reference xarray github issues. :)

 
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