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- xarray.concat() with compat='identical' fails for DataArray attrs · 3 ✖
| id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 475605323 | https://github.com/pydata/xarray/issues/2836#issuecomment-475605323 | https://api.github.com/repos/pydata/xarray/issues/2836 | MDEyOklzc3VlQ29tbWVudDQ3NTYwNTMyMw== | aldanor 2418513 | 2019-03-22T12:36:48Z | 2019-03-22T12:36:48Z | NONE |
Prob not, with n-d attrs? It would serialize just fine to plain HDF5 though... |
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xarray.concat() with compat='identical' fails for DataArray attrs 423749397 | |
| 475285050 | https://github.com/pydata/xarray/issues/2836#issuecomment-475285050 | https://api.github.com/repos/pydata/xarray/issues/2836 | MDEyOklzc3VlQ29tbWVudDQ3NTI4NTA1MA== | aldanor 2418513 | 2019-03-21T15:46:13Z | 2019-03-21T15:46:13Z | NONE | I could try; what's the most stable way to check equality? Do we want to enforce that types are the same, shame/ndim are the same (dtypes?), plus element-wise comparison? What if one is DA array, one is np array? |
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xarray.concat() with compat='identical' fails for DataArray attrs 423749397 | |
| 475264613 | https://github.com/pydata/xarray/issues/2836#issuecomment-475264613 | https://api.github.com/repos/pydata/xarray/issues/2836 | MDEyOklzc3VlQ29tbWVudDQ3NTI2NDYxMw== | aldanor 2418513 | 2019-03-21T14:59:28Z | 2019-03-21T14:59:28Z | NONE | @dcherian In the second example that fails, the attr in question is 1-D, one-dimensional attributes are fine? |
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xarray.concat() with compat='identical' fails for DataArray attrs 423749397 |
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