html_url,issue_url,id,node_id,user,created_at,updated_at,author_association,body,reactions,performed_via_github_app,issue
https://github.com/pydata/xarray/issues/4475#issuecomment-701694586,https://api.github.com/repos/pydata/xarray/issues/4475,701694586,MDEyOklzc3VlQ29tbWVudDcwMTY5NDU4Ng==,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)
```","{""total_count"": 3, ""+1"": 3, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,712189206