issue_comments: 248059952
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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-248059952 | https://api.github.com/repos/pydata/xarray/issues/525 | 248059952 | MDEyOklzc3VlQ29tbWVudDI0ODA1OTk1Mg== | 1310437 | 2016-09-19T17:24:21Z | 2016-09-19T17:24:21Z | CONTRIBUTOR | +1 for units support. I agree, parametrised dtypes would be the preferred solution, but I don't want to wait that long (I would be willing to contribute to that end, but I'm afraid that would exceed my knowledge of numpy). I have never used dask. I understand that the support for dask arrays is a central feature for xarray. However, the way I see it, if one would put a (unit-aware) ndarray subclass into an xarray, then units should work out of the box. As you discussed, this seems not so easy to make work together with dask (particularly in a generic way). However, shouldn't that be an issue that the dask community anyway has to solve (i.e.: currently there is no way to use any units package together with dask, right)? In that sense, allowing such arrays inside xarrays would force users to choose between dask and units, which is something they have to do anyway. But for a big part of users, that would be a very quick way to units! Or am I missing something here? I'll just try to monkeypatch xarray to that end, and see how far I get... |
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