issue_comments: 142956698
This data as json
| 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/587#issuecomment-142956698 | https://api.github.com/repos/pydata/xarray/issues/587 | 142956698 | MDEyOklzc3VlQ29tbWVudDE0Mjk1NjY5OA== | 1217238 | 2015-09-24T15:06:53Z | 2015-09-24T15:06:53Z | MEMBER | In what contexts would it make sense for xray to directly read and write these formats? We have first class support for reading/writing pandas data frames, which generally seems like a much better fit for generic tabular data. If tabular data packages has direct support for multi-dimensional arrays then this could make sense. Otherwise, users probably should be explicitly converting to and from tabular formats. |
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