issue_comments: 1047932340

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https://github.com/pydata/xarray/issues/4118#issuecomment-1047932340 https://api.github.com/repos/pydata/xarray/issues/4118 1047932340 IC_kwDOAMm_X84-di20 35968931 2022-02-22T15:47:15Z 2022-02-22T15:50:41Z MEMBER

Hi @LunarLanding , thanks for your ideas!

For this, it would make more sense to be able to have dimensions ( with optional labels and coordinates ) assigned to nodes (and these would be inherited by any descendants).

It sounds a bit like what you are suggesting is essentially a model in which dimensions are explicit objects, which can be referred to from other groups, like in netCDF. (NetCDF has "dimension IDs".)

This would be a bit of a departure from the model that xarray.Dataset currently uses, because right now dimensions aren't really unique entities, they are just a collective label for a shared dimension of a set of Variable objects.

Often I run a function over a dataset, with each call outputing a hierarchical data structure, containing fixed dimensions in the best cases and variable length in the worst.

By "variable" length, do you mean that the length of dimensions differs between variables in the same group, or just that you don't know the length of the dimension in advance?

Is there a specific use case which you think would require explicit dimensions to solve?

 
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