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/1223#issuecomment-281990573,https://api.github.com/repos/pydata/xarray/issues/1223,281990573,MDEyOklzc3VlQ29tbWVudDI4MTk5MDU3Mw==,6042212,2017-02-23T13:25:36Z,2017-02-23T13:25:36Z,CONTRIBUTOR,"@alimanfoo , do you think this work would make more sense as part of zarr rather than as part of xarray?","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,202260275
https://github.com/pydata/xarray/issues/1223#issuecomment-281860859,https://api.github.com/repos/pydata/xarray/issues/1223,281860859,MDEyOklzc3VlQ29tbWVudDI4MTg2MDg1OQ==,6042212,2017-02-23T01:25:52Z,2017-02-23T01:25:52Z,CONTRIBUTOR,"True, xarray_to_zarr is unchanged from before. The dataset functions could supercede, since a single xarray is just a special case of a dataset; or we could decide that for the special case it is worth having short-cut functions. I was worried about the number of metadata files being created, since on a remote system like S3, there is a large overhead to reading many small files.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,202260275
https://github.com/pydata/xarray/issues/1223#issuecomment-281813651,https://api.github.com/repos/pydata/xarray/issues/1223,281813651,MDEyOklzc3VlQ29tbWVudDI4MTgxMzY1MQ==,6042212,2017-02-22T21:42:49Z,2017-02-22T21:43:05Z,CONTRIBUTOR,"@alimanfoo , in the new dataset save function, I do exactly [as you suggest](https://gist.github.com/martindurant/06a1e98c91f0033c4649a48a2f943390#file-zarr_xarr-py-L168), with everything getting put as a dict into the main zarr group attributes, with special attribute names ""attrs"" for the data-set root, ""coords"" for the set of coordinate objects and ""variables"" for the set of variables objects (all of these have their own attributes in xarray).","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,202260275
https://github.com/pydata/xarray/issues/1223#issuecomment-279181938,https://api.github.com/repos/pydata/xarray/issues/1223,279181938,MDEyOklzc3VlQ29tbWVudDI3OTE4MTkzOA==,6042212,2017-02-11T22:56:56Z,2017-02-11T22:56:56Z,CONTRIBUTOR,"I have developed my example a little to sidestep subclassing you suggest, which seemed tricky to implement.

Please see https://gist.github.com/martindurant/06a1e98c91f0033c4649a48a2f943390 
(dataset_to/from_zarr functions)

I can use the zarr groups structure to mirror at least typical use of xarrays: variables, coordinates and sets of attributes on each. I have tested this with s3 too, stealing a little code from dask to show the idea. ","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,202260275
https://github.com/pydata/xarray/issues/1223#issuecomment-274202189,https://api.github.com/repos/pydata/xarray/issues/1223,274202189,MDEyOklzc3VlQ29tbWVudDI3NDIwMjE4OQ==,6042212,2017-01-20T22:57:07Z,2017-01-20T22:57:07Z,CONTRIBUTOR,3: a json-like representation such as used by the hidden .xarray item would also do.,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,202260275