issue_comments: 277759129
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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/1249#issuecomment-277759129 | https://api.github.com/repos/pydata/xarray/issues/1249 | 277759129 | MDEyOklzc3VlQ29tbWVudDI3Nzc1OTEyOQ== | 1217238 | 2017-02-06T17:52:05Z | 2017-02-06T17:52:05Z | MEMBER | This was intentional, but is perhaps too magical/overloaded. Here's the reasoning:
1. If dimension names are not provided for a 1D array, presume that it's sole dimension is the same as it's name.
2. Variables with the same name as a dimension must be coordinates in the xarray data model. Hence make these variables coordinates, even if they appears in the Note that if you put an array with 2 or more dimensions directly into Alternative behaviors that might make more sense:
- Raise an error for this behavior, only allowing implicit dimension names when you put an array in I'm not a huge fan of this second option because if you don't get an error it would be easy to construct datasets with some variables having the wrong dimension names. |
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