issue_comments: 403076034
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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/2269#issuecomment-403076034 | https://api.github.com/repos/pydata/xarray/issues/2269 | 403076034 | MDEyOklzc3VlQ29tbWVudDQwMzA3NjAzNA== | 6815844 | 2018-07-06T16:01:25Z | 2018-07-06T16:01:25Z | MEMBER | Some additional explanations I was consulted by an onwer of a project that is using xarray inside it, the way to load xarray objects that is pickled with older-version xarray. They does not recommend to use pickle, but some users actually do this and have troubles to restore old pickled files. In partiular, xarray renamed What I would like to propose here is to provide a workaround to unpickle old xarray objects. The function would look like ```python def unpickle_legacy(filename): """ Unpickle old xarray objects. """ class RenamingUnpickler(pickle.Unpickler): def find_class(self, module, name): if name == 'Coordinate': name = 'IndexVariable' return super().find_class(module, name)
``` for all the previous releases. Continuously supporting such a function might be an additional task, but it will emphasize the robustness of our project. Any comments are welcome. |
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