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  • rabernat · 2 ✖

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  • Basic multiIndex support and stack/unstack methods · 2 ✖

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  • MEMBER · 2 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
171191938 https://github.com/pydata/xarray/pull/702#issuecomment-171191938 https://api.github.com/repos/pydata/xarray/issues/702 MDEyOklzc3VlQ29tbWVudDE3MTE5MTkzOA== rabernat 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.

 
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   Basic multiIndex support and stack/unstack methods 124700322
170241880 https://github.com/pydata/xarray/pull/702#issuecomment-170241880 https://api.github.com/repos/pydata/xarray/issues/702 MDEyOklzc3VlQ29tbWVudDE3MDI0MTg4MA== rabernat 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.)

 
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   Basic multiIndex support and stack/unstack methods 124700322

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