issue_comments: 207539263
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/issues/486#issuecomment-207539263 | https://api.github.com/repos/pydata/xarray/issues/486 | 207539263 | MDEyOklzc3VlQ29tbWVudDIwNzUzOTI2Mw== | 1197350 | 2016-04-08T18:02:07Z | 2016-04-08T18:02:07Z | MEMBER | I feel like the biggest application of the multi-dimensional groupby will be with "conservative resampling" and coarse-graining, where you want to make sure to conserve certain integrals (e.g. total heat content) while changing coordinates. pyresample will be more useful for fine-graining and interpolating missing data. |
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