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- Dataset.copy(deep=True) does not deepcopy .attrs · 4 ✖
| id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1258593420 | https://github.com/pydata/xarray/issues/2835#issuecomment-1258593420 | https://api.github.com/repos/pydata/xarray/issues/2835 | IC_kwDOAMm_X85LBJyM | headtr1ck 43316012 | 2022-09-26T20:28:28Z | 2022-09-26T20:28:28Z | COLLABORATOR | Ok, I thought that copying attrs was fixed. Seems like it did not... I will create a PR to fix this first, then we can use your test :) |
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Dataset.copy(deep=True) does not deepcopy .attrs 423742774 | |
| 1258235669 | https://github.com/pydata/xarray/issues/2835#issuecomment-1258235669 | https://api.github.com/repos/pydata/xarray/issues/2835 | IC_kwDOAMm_X85K_ycV | headtr1ck 43316012 | 2022-09-26T15:41:22Z | 2022-09-26T15:41:22Z | COLLABORATOR |
Great! Just ask if you need help :) Basically: fork repo, make new branch on your forked repo, add test, create PR (when you push GitHub should show a popup asking if you want to create a PR anyway). |
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Dataset.copy(deep=True) does not deepcopy .attrs 423742774 | |
| 1256569748 | https://github.com/pydata/xarray/issues/2835#issuecomment-1256569748 | https://api.github.com/repos/pydata/xarray/issues/2835 | IC_kwDOAMm_X85K5buU | headtr1ck 43316012 | 2022-09-23T18:59:33Z | 2022-09-23T18:59:33Z | COLLABORATOR | I see, so it was a problem of recursively copying the attrs. @phockett would you be open to add your example as a test in a PR such that we can avoid this in the future? |
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Dataset.copy(deep=True) does not deepcopy .attrs 423742774 | |
| 1236356402 | https://github.com/pydata/xarray/issues/2835#issuecomment-1236356402 | https://api.github.com/repos/pydata/xarray/issues/2835 | IC_kwDOAMm_X85JsU0y | headtr1ck 43316012 | 2022-09-04T14:41:39Z | 2022-09-04T14:41:39Z | COLLABORATOR | Cannot reproduce on current master using ```python import xarray as xr ds = xr.Dataset({"a": (["x"], [1, 2, 3])}, attrs={"t": 1}) ds2 = ds.copy(deep=True) ds.attrs["t"] = 5 print(ds2.attrs) # returns: {'t': 1} ``` |
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Dataset.copy(deep=True) does not deepcopy .attrs 423742774 |
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