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- xarray to and from Iris · 6 ✖
id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
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352518249 | https://github.com/pydata/xarray/pull/1750#issuecomment-352518249 | https://api.github.com/repos/pydata/xarray/issues/1750 | MDEyOklzc3VlQ29tbWVudDM1MjUxODI0OQ== | shoyer 1217238 | 2017-12-18T18:34:51Z | 2017-12-18T18:34:51Z | MEMBER | @duncanwp that example looks good to me. I assume it runs locally with this branch? |
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xarray to and from Iris 278286073 | |
352480739 | https://github.com/pydata/xarray/pull/1750#issuecomment-352480739 | https://api.github.com/repos/pydata/xarray/issues/1750 | MDEyOklzc3VlQ29tbWVudDM1MjQ4MDczOQ== | shoyer 1217238 | 2017-12-18T16:35:06Z | 2017-12-18T16:35:06Z | MEMBER | https://github.com/dask/dask/issues/2977 needs to be resolved to make it possible to properly translate dask arrays back and forth between xarray/Iris. I don't want to hold up this PR which is coming along very nicely (and I'm sure would already be useful), so we can we simply differ handling of dask arrays for now? I would suggest raising |
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xarray to and from Iris 278286073 | |
350033913 | https://github.com/pydata/xarray/pull/1750#issuecomment-350033913 | https://api.github.com/repos/pydata/xarray/issues/1750 | MDEyOklzc3VlQ29tbWVudDM1MDAzMzkxMw== | shoyer 1217238 | 2017-12-07T17:13:49Z | 2017-12-07T17:13:49Z | MEMBER | I don't know exactly what would go wrong, but I'm pretty sure masked Dask arrays would break xarray in some subtle ways. It would be better to convert them to using unmasked Dask arrays using NaN. On Thu, Dec 7, 2017 at 1:18 AM Duncan Watson-Parris notifications@github.com wrote:
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xarray to and from Iris 278286073 | |
348559234 | https://github.com/pydata/xarray/pull/1750#issuecomment-348559234 | https://api.github.com/repos/pydata/xarray/issues/1750 | MDEyOklzc3VlQ29tbWVudDM0ODU1OTIzNA== | shoyer 1217238 | 2017-12-01T17:38:42Z | 2017-12-01T17:38:42Z | MEMBER |
Agreed. In the long term, the IO docs have gotten pretty long, it could make sense to split them up into several subpages. |
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xarray to and from Iris 278286073 | |
348489979 | https://github.com/pydata/xarray/pull/1750#issuecomment-348489979 | https://api.github.com/repos/pydata/xarray/issues/1750 | MDEyOklzc3VlQ29tbWVudDM0ODQ4OTk3OQ== | fmaussion 10050469 | 2017-12-01T13:05:59Z | 2017-12-01T13:05:59Z | MEMBER |
I think it's OK in I/O (for now). This is also the place where we document serialization in pickle, and the |
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xarray to and from Iris 278286073 | |
348387554 | https://github.com/pydata/xarray/pull/1750#issuecomment-348387554 | https://api.github.com/repos/pydata/xarray/issues/1750 | MDEyOklzc3VlQ29tbWVudDM0ODM4NzU1NA== | shoyer 1217238 | 2017-12-01T02:55:41Z | 2017-12-01T02:55:41Z | MEMBER | @pelson any thoughts here? I think this may be a reasonable place to start, though it is certainly not leveraging Iris's full metadata decoding capabilities. It would also be nice to pass dask arrays back and forth, but that will probably need to wait until after Iris 2.0 and https://github.com/pydata/xarray/issues/1372 is solved. |
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xarray to and from Iris 278286073 |
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