issue_comments: 512353104
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html_url | issue_url | id | node_id | user | created_at | updated_at | author_association | body | reactions | performed_via_github_app | issue |
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https://github.com/pydata/xarray/pull/3131#issuecomment-512353104 | https://api.github.com/repos/pydata/xarray/issues/3131 | 512353104 | MDEyOklzc3VlQ29tbWVudDUxMjM1MzEwNA== | 35968931 | 2019-07-17T16:22:26Z | 2019-07-17T16:22:26Z | MEMBER | Nor am I. I originally thought it should be 'nested' because the concat-in-order behaviour is more similar to the original auto_combine, but I don't know. It seems to me like it depends on the quality of user's data: if they have high-quality datasets which already have sensible coordinates for each dimension then' by_coords' is best, but if their data is more primitive without coordinates (like mine happens to be) then 'nested' is the most natural default. So do we have a sense of what the largest number of users would find most natural? Or is this not a good way to think about it? On Wed, 17 Jul 2019, 16:05 Stephan Hoyer, notifications@github.com wrote:
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