issue_comments: 170241880

This data as json

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-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 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