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/pull/702#issuecomment-171191938,https://api.github.com/repos/pydata/xarray/issues/702,171191938,MDEyOklzc3VlQ29tbWVudDE3MTE5MTkzOA==,1197350,2016-01-13T06:47:11Z,2016-01-13T06:47:11Z,MEMBER,"I think the api is great. Stack / unstack is a nice way to describe the operation of aggregating coordinates.
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,124700322
https://github.com/pydata/xarray/pull/702#issuecomment-170241880,https://api.github.com/repos/pydata/xarray/issues/702,170241880,MDEyOklzc3VlQ29tbWVudDE3MDI0MTg4MA==,1197350,2016-01-09T14:04:07Z,2016-01-09T14:04:07Z,MEMBER,"Big :+1: from me. This seems like a feature with enormous potential.

> It would be nice to eventually build a full example showing how stack can be combined with lazy loading / dask to do out-of-core PCA on a large geophysical dataset (e.g., identify El Nino)

I have an [example notebook](https://github.com/rabernat/python_teaching/blob/master/one_day_workshop/04_xray_sst.ipynb) for doing svd on a sea-surface-temperature field which should be pretty easy to adapt to these new methods. (Currently I just switch over to numpy for the actual svd.)
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,124700322