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  • A problem about xarray.concat · 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
321416757 https://github.com/pydata/xarray/issues/1505#issuecomment-321416757 https://api.github.com/repos/pydata/xarray/issues/1505 MDEyOklzc3VlQ29tbWVudDMyMTQxNjc1Nw== wqshen 12339722 2017-08-10T00:25:07Z 2017-08-10T00:25:07Z NONE

Yeah, what i want is exactly you've understood, these files are splitted in space into many tiles. When i look into the internal xarray.concat code, i also found it is impossible at present. To do this, some codes should be modified and i don't think this function extension is necessary to xarray.

Also, thanks to you !

 
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   A problem about xarray.concat 248942085
321245721 https://github.com/pydata/xarray/issues/1505#issuecomment-321245721 https://api.github.com/repos/pydata/xarray/issues/1505 MDEyOklzc3VlQ29tbWVudDMyMTI0NTcyMQ== darothen 4992424 2017-08-09T12:50:40Z 2017-08-09T12:50:40Z NONE

How exactly is your WRF output split? It's not clear exactly what you want to do... is it split along different tiles such that indices [1, ..., m] are in ds_col_0, [m+1, ..., p] are in ds_col_1, and [p+1, ..., n] are in ds_col_2? Or is each dataset a different vertical level? Or a different timestep?

I'm not sure that xr.concat will even work if you pass dim a list of dimensions. It's only designed to concatenate along one dimension at a time; if you pass a pandas Index or a DataArray as the argument for dim, then it will create a new dimension in the dataset and use the values in that argument as the coordinates - so you have to exactly match the number Datasets or DataArrays in the first argument. 

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   A problem about xarray.concat 248942085

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