issue_comments: 320997555
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/1482#issuecomment-320997555 | https://api.github.com/repos/pydata/xarray/issues/1482 | 320997555 | MDEyOklzc3VlQ29tbWVudDMyMDk5NzU1NQ== | 1217238 | 2017-08-08T15:46:55Z | 2017-08-08T15:46:55Z | MEMBER | I understand why this could be useful, but I don't see how we could possibly make it work. The notion of "fixed dimension size" is fundamental to both NumPy arrays (upon which xarray is based) and the xarray Dataset/DataArray. There are lots of various workarounds (e.g., using padding or a MultiIndex) but first class support for jagged arrays would break our existing data model too severely. |
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