issue_comments: 775464667
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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/issues/4084#issuecomment-775464667 | https://api.github.com/repos/pydata/xarray/issues/4084 | 775464667 | MDEyOklzc3VlQ29tbWVudDc3NTQ2NDY2Nw== | 14314623 | 2021-02-08T21:11:39Z | 2021-02-08T21:11:39Z | CONTRIBUTOR | I encountered a similar problem, which I could solve by dropping all scalar non-dim coords in my dataset (works in this particular workflow of mine, but is generally not ideal). Is the solution proposed by @chrisroat general enough to be implemented? Or is there another way to avoid this situation (besides dropping the coordintates?). |
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