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/3948#issuecomment-610414198,https://api.github.com/repos/pydata/xarray/issues/3948,610414198,MDEyOklzc3VlQ29tbWVudDYxMDQxNDE5OA==,3958036,2020-04-07T14:18:36Z,2020-04-07T14:18:36Z,CONTRIBUTOR,"Sorry for the noise, but at least I will be glad of something to search for next time I forget how to do something like this!","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,595882590
https://github.com/pydata/xarray/issues/3948#issuecomment-610413864,https://api.github.com/repos/pydata/xarray/issues/3948,610413864,MDEyOklzc3VlQ29tbWVudDYxMDQxMzg2NA==,3958036,2020-04-07T14:18:01Z,2020-04-07T14:18:01Z,CONTRIBUTOR,"Thanks @lanougue, @dcherian I think I see the simple answer now: use a deepcopy first, to leave the Dataset as is, then `del` the DataArray when finished with it, e.g.
```
da1 = ds[""variable1""].copy(deep=True)
... do stuff with da1 ...
del da1

da2 = ds[""variable2""].copy(deep=True)
... do stuff with da2 ...
del da2

... etc.
```","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,595882590
https://github.com/pydata/xarray/issues/3948#issuecomment-610404757,https://api.github.com/repos/pydata/xarray/issues/3948,610404757,MDEyOklzc3VlQ29tbWVudDYxMDQwNDc1Nw==,3958036,2020-04-07T14:01:28Z,2020-04-07T14:01:28Z,CONTRIBUTOR,"Thanks @lanougue, but what if I might want to re-load `da1` again later, ie. if `da` came from some Dataset `da = ds[""variable""]`, I want to leave `ds` in the same state as just after I did `ds = open_dataset(...)`? Wouldn't `del da` remove `""variable""` from `ds`? Or maybe not free any memory if `ds` still has a reference to the DataArray?","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,595882590
https://github.com/pydata/xarray/issues/3948#issuecomment-610403146,https://api.github.com/repos/pydata/xarray/issues/3948,610403146,MDEyOklzc3VlQ29tbWVudDYxMDQwMzE0Ng==,3958036,2020-04-07T13:58:44Z,2020-04-07T13:58:44Z,CONTRIBUTOR,"OK, I think I've answered my own question. Looks like `dask` can handle this workflow already, something like:
```
# do_some_work does not call `.load()` or `.compute()` anywhere
result1a, result1b, result1c = dask.compute(do_some_work(ds[""variable1""])

result2a, result2b, result2c = dask.compute(do_some_work(ds[""variable2""])

... etc.
```

I do still wonder if there might be any case where `.release()` might be useful...","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,595882590