issue_comments: 254727789

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https://github.com/pydata/xarray/pull/1017#issuecomment-254727789 https://api.github.com/repos/pydata/xarray/issues/1017 254727789 MDEyOklzc3VlQ29tbWVudDI1NDcyNzc4OQ== 832092 2016-10-19T06:57:23Z 2016-10-19T06:57:23Z NONE

I have never encountered this case yet but ignoring that dimension seems like a bad idea to me. When I use a.reindex_like(b), I usually mean "make a compatible with b", so I assume the resulting index and shape is the same than (or at least compatible with) b. More importantly, I expect to be able to do binary operations between the re-indexed a and b. Ignoring the index like you propose would break that.

Given that, I would go with either an error, or treat the missing index like it was range() in this case, ie fill the extra values with NAN. I think I would have a slight preference for the later in my own code (wildcard axes), but in xarray I am unsure. The error might be more coherent.

 
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