issue_comments: 482907774
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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/2891#issuecomment-482907774 | https://api.github.com/repos/pydata/xarray/issues/2891 | 482907774 | MDEyOklzc3VlQ29tbWVudDQ4MjkwNzc3NA== | 6355796 | 2019-04-14T00:43:35Z | 2019-04-14T00:43:35Z | NONE | Thank you @shoyer for taking the time to educate me on this. I understand completely now. I agree that solutions one and two would be helpful for future developers new to Xarray and the expand_dims operation when they eventually encounter this behaviour. I also agree that option three would be confusing, and had it of been implemented as such I would still have found myself to be asking a similar question about why it is like that. Another option to consider which might be easier still would be to just update the expand_dims documentation to include a note about this behaviour and the copy solution. Thanks again! |
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