issue_comments: 524021001

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https://github.com/pydata/xarray/issues/2064#issuecomment-524021001 https://api.github.com/repos/pydata/xarray/issues/2064 524021001 MDEyOklzc3VlQ29tbWVudDUyNDAyMTAwMQ== 2448579 2019-08-22T18:22:37Z 2019-08-22T18:22:37Z MEMBER

Thanks for your input @bonnland.

The pandas concat() function uses the option join = {'inner', 'outer', 'left', 'right'} in order to mimic logical database join operations. If there is a reason that xarray cannot do the same, it is not obvious to me. I think the pandas options have the advantage of logical simplicity and traditional usage within database systems.

We do have a join argument that takes these arguments + 'override' which was added recently to skip expensive comparisons. This works for "indexes" or "dimension coordinates". An example: if you have 2 dataarrays, one on a coordinate x=[1, 2, 3] and the other on x=[2,3,4], join lets you control the x coordinate of the output. This is done by xr.align.

What's under discussion here is what to do about variables duplicated across datasets or indeed, how do we know that these variables are duplicated across datasets when concatenating other variables.

 
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