issue_comments: 393479854

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https://github.com/pydata/xarray/issues/2159#issuecomment-393479854 https://api.github.com/repos/pydata/xarray/issues/2159 393479854 MDEyOklzc3VlQ29tbWVudDM5MzQ3OTg1NA== 10668114 2018-05-31T09:57:01Z 2018-05-31T09:57:01Z NONE

Just wanted to add the same request;)

  • But, I want to add that current behavior, where combined y = 10 20 30 40 50 60 10 20 30 40 50 60 is incorrect in the context of CF, which states that coordinates must be monotonic, and I cannot see many other use cases where such a result would work.
  • Also, currently the documentation is not clear about what will happen if you have multiple dimensions with different ranges.

I also do not understand what is the real complexity of implementing it. As I understand the problem, the initial full dataset is some sort of N-d hypercube and then it is being split into parts along any nr of dimensions. When reading multiple files, which are just parts of this hypercube, it should be enough to just find the possible dimension values, form a hypercube and place each files content into the correct slot? What am I missing here?

 
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