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2 rows where issue = 494210818 and user = 1217238 sorted by updated_at descending
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id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
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535264571 | https://github.com/pydata/xarray/pull/3312#issuecomment-535264571 | https://api.github.com/repos/pydata/xarray/issues/3312 | MDEyOklzc3VlQ29tbWVudDUzNTI2NDU3MQ== | shoyer 1217238 | 2019-09-25T23:30:54Z | 2019-09-25T23:30:54Z | MEMBER |
If we gave all the DataArray objects the same name when converted into Dataset objects, then I think the result could always be a single DataArray? This would be consistent with how we do arithmetic with a DataArrays: the names get ignored, and then we assign a name to the result only if there are no conflicting names on the inputs. |
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convert DataArray to DataSet before combine 494210818 | |
532968459 | https://github.com/pydata/xarray/pull/3312#issuecomment-532968459 | https://api.github.com/repos/pydata/xarray/issues/3312 | MDEyOklzc3VlQ29tbWVudDUzMjk2ODQ1OQ== | shoyer 1217238 | 2019-09-19T05:11:06Z | 2019-09-19T05:11:06Z | MEMBER | Thinking about the interface here, would it make sense for the combine methods to always return an object of the same type as the inputs? E.g., list of DataArray -> DataArray, list of Dataset -> Dataset? Effectively, we would disable the automatic merging when working with DataArray objects and only do concat (ignoring DataArray names). I guess the confusing part is that in concat we always return the same type as the inputs, vs merge where we always return a Dataset. And of course, combine can do both! |
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convert DataArray to DataSet before combine 494210818 |
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