issue_comments: 269600582
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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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| https://github.com/pydata/xarray/issues/1151#issuecomment-269600582 | https://api.github.com/repos/pydata/xarray/issues/1151 | 269600582 | MDEyOklzc3VlQ29tbWVudDI2OTYwMDU4Mg== | 6213168 | 2016-12-29T09:02:36Z | 2016-12-29T09:05:48Z | MEMBER | I just realised that xarray today already implements meaningful logic when concatenating between a and c in my example above - both on an existing dimension as well as on a new one. It's just a and b that don't work. I agree that defaulting to NaN would be a good option (regardless if the dimension is new or existing). So to recap, when concatenating [a, b, c], where b does not have the y coord: - if the dtype of the y coord in both a and c is float, numpy.float32, or numpy.float64, fill in with NaN - if it's any datetime format, fill in with NaT - if it's strings, fill in with empty string?? - in any other case, convert everything to object and fill in with None Correct? Is there any helper function to facilitate this? |
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