issue_comments: 130134807
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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/525#issuecomment-130134807 | https://api.github.com/repos/pydata/xarray/issues/525 | 130134807 | MDEyOklzc3VlQ29tbWVudDEzMDEzNDgwNw== | 1217238 | 2015-08-12T02:01:01Z | 2015-08-12T02:01:01Z | MEMBER | Eventually, I hope so! Unfortunately, doing this in a feasible and maintainable way will probably require upstream fixes in NumPy. In particular, better support for duck-array types (https://github.com/numpy/numpy/issues/4164) and/or the ability to write units as a custom NumPy dtypes. Both of these are on the NumPy roadmap, though they don't have a timeframe for when that will happen. |
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