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  • dcherian · 2 ✖

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  • multiple arrays with common nan-shaped dimension · 2 ✖

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id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
826022291 https://github.com/pydata/xarray/issues/5168#issuecomment-826022291 https://api.github.com/repos/pydata/xarray/issues/5168 MDEyOklzc3VlQ29tbWVudDgyNjAyMjI5MQ== dcherian 2448579 2021-04-24T02:44:34Z 2021-04-24T02:44:34Z MEMBER

Related: #2801

 
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   multiple arrays with common nan-shaped dimension 859577556
821294184 https://github.com/pydata/xarray/issues/5168#issuecomment-821294184 https://api.github.com/repos/pydata/xarray/issues/5168 MDEyOklzc3VlQ29tbWVudDgyMTI5NDE4NA== dcherian 2448579 2021-04-16T16:28:09Z 2021-04-16T16:28:09Z MEMBER

I'm not sure about writing to zarr but it seems possible to support nan-sized dimensions when unindexed. We could skip alignment when the dimension is nan-sized for all variables in an Xarray object.

~/kitchen_sync/xarray/xarray/core/alignment.py in align(join, copy, indexes, exclude, fill_value, *objects) 283 for dim in obj.dims: 284 if dim not in exclude: --> 285 all_coords[dim].append(obj.coords[dim]) 286 try: 287 index = obj.indexes[dim]

For alignment, it may be as easy as adding the name of the nan-sized dimension to exclude.

 
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   multiple arrays with common nan-shaped dimension 859577556

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