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  • shoyer · 1 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
701694586 https://github.com/pydata/xarray/issues/4475#issuecomment-701694586 https://api.github.com/repos/pydata/xarray/issues/4475 MDEyOklzc3VlQ29tbWVudDcwMTY5NDU4Ng== shoyer 1217238 2020-09-30T23:13:33Z 2020-09-30T23:13:33Z MEMBER

I think we could support delayed objects in save_mfdataset, at least in principle. But if you're OK using delayed objects, you might as well write each netCDF file separately using dask.delayed, e.g., ``` def write_dataset(dataset, path): your_function(ds).to_netcdf(path)

result = [dask.delayed(write_dataset)(ds, path) for ds, path in zip(datasets, path)] dask.compute(result) ```

 
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   Preprocess function for save_mfdataset 712189206

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