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/1093#issuecomment-857330304,https://api.github.com/repos/pydata/xarray/issues/1093,857330304,MDEyOklzc3VlQ29tbWVudDg1NzMzMDMwNA==,26384082,2021-06-09T02:50:46Z,2021-06-09T02:50:46Z,NONE,"In order to maintain a list of currently relevant issues, we mark issues as stale after a period of inactivity

If this issue remains relevant, please comment here or remove the `stale` label; otherwise it will be marked as closed automatically
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,187872991
https://github.com/pydata/xarray/issues/1093#issuecomment-509773034,https://api.github.com/repos/pydata/xarray/issues/1093,509773034,MDEyOklzc3VlQ29tbWVudDUwOTc3MzAzNA==,2448579,2019-07-09T19:20:51Z,2019-07-09T19:20:51Z,MEMBER,I think this was closed by mistake. Is there a way to split up Dataset chunks into dask delayed objects where each object is a Dataset?,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,187872991
https://github.com/pydata/xarray/issues/1093#issuecomment-259213382,https://api.github.com/repos/pydata/xarray/issues/1093,259213382,MDEyOklzc3VlQ29tbWVudDI1OTIxMzM4Mg==,1217238,2016-11-08T18:09:11Z,2016-11-08T18:09:34Z,MEMBER,"The other component that would help for this is some utility function inside xarray to split a `Dataset` (or `DataArray`) into sub-datasets for each chunk. Something like:

``` python
def split_by_chunks(dataset):
    chunk_slices = {}
    for dim, chunks in dataset.chunks.items():
        slices = []
        start = 0
        for chunk in chunks:
            stop = start + chunk
            slices.append(slice(start, stop))
            start = stop
        chunk_slices[dim] = slices
    for slices in itertools.product(*chunk_slices.values()):
         selection = dict(zip(chunk_slices.keys(), slices))
         yield (selection, dataset[selection])
```
","{""total_count"": 1, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 1}",,187872991
https://github.com/pydata/xarray/issues/1093#issuecomment-259207151,https://api.github.com/repos/pydata/xarray/issues/1093,259207151,MDEyOklzc3VlQ29tbWVudDI1OTIwNzE1MQ==,1217238,2016-11-08T17:46:23Z,2016-11-08T17:46:23Z,MEMBER,"> Can you explain why you think this could benefit from collection duck typing?

Then we could use xarray's normal indexing operations to create a new sub-datasets, wrap them with `dask.delayed` and start chaining on delayed method calls like `to_dataframe`. The duck typing is necessary so that `dask.delayed` knows how to pull the dask graph out from the input `Dataset`.
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,187872991
https://github.com/pydata/xarray/issues/1093#issuecomment-259204793,https://api.github.com/repos/pydata/xarray/issues/1093,259204793,MDEyOklzc3VlQ29tbWVudDI1OTIwNDc5Mw==,2783717,2016-11-08T17:37:25Z,2016-11-08T17:37:25Z,NONE,"I'm not sure if I follow how this is a duck typing use case. I'd write this as a method, following your suggestion on SO:

> Toward this end, it would be nice if xarray had something like dask.array's to_delayed method for converting a Dataset into an array of delayed datasets, which you could then lazily convert into DataFrame objects and do your computation.

Can you explain why you think this could benefit from collection duck typing?
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,187872991
https://github.com/pydata/xarray/issues/1093#issuecomment-259052436,https://api.github.com/repos/pydata/xarray/issues/1093,259052436,MDEyOklzc3VlQ29tbWVudDI1OTA1MjQzNg==,1217238,2016-11-08T05:55:19Z,2016-11-08T05:55:19Z,MEMBER,"CC @mrocklin @jcrist

This is a good use case for dask collection duck typing: https://github.com/dask/dask/pull/1068
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