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- Rules for propagating attrs and encoding · 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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398203726 | https://github.com/pydata/xarray/issues/1614#issuecomment-398203726 | https://api.github.com/repos/pydata/xarray/issues/1614 | MDEyOklzc3VlQ29tbWVudDM5ODIwMzcyNg== | ethan-campbell 8204522 | 2018-06-18T21:36:32Z | 2018-06-18T21:36:32Z | NONE | @shoyer, I assume you are referring to the I realize that adding a module-level or |
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Rules for propagating attrs and encoding 264049503 | |
398183428 | https://github.com/pydata/xarray/issues/1614#issuecomment-398183428 | https://api.github.com/repos/pydata/xarray/issues/1614 | MDEyOklzc3VlQ29tbWVudDM5ODE4MzQyOA== | SeanDS 5225190 | 2018-06-18T20:23:41Z | 2018-06-18T20:23:52Z | NONE |
No, just the proposed feature to keep or delete metadata based on the various operations. Is this behaviour already part of the library, and this issue is just to clarify the intended behaviour, or is this a feature proposal? |
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Rules for propagating attrs and encoding 264049503 | |
397966050 | https://github.com/pydata/xarray/issues/1614#issuecomment-397966050 | https://api.github.com/repos/pydata/xarray/issues/1614 | MDEyOklzc3VlQ29tbWVudDM5Nzk2NjA1MA== | SeanDS 5225190 | 2018-06-18T07:32:08Z | 2018-06-18T07:32:08Z | NONE | Also - might I suggest you consider some kind of history tracker as part of the metadata propagation? Perhaps metadata could be saved from each step of a set of operations, so that there is a full paper trail for the set of operations have been applied to the data. It could however get complicated to merge together objects with their own separate histories, especially if they ultimately descend from the same original data set. This would be very relevant for scientific analyses. |
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Rules for propagating attrs and encoding 264049503 | |
397965247 | https://github.com/pydata/xarray/issues/1614#issuecomment-397965247 | https://api.github.com/repos/pydata/xarray/issues/1614 | MDEyOklzc3VlQ29tbWVudDM5Nzk2NTI0Nw== | SeanDS 5225190 | 2018-06-18T07:28:32Z | 2018-06-18T07:28:32Z | NONE | Hi, this feature would be very relevant to the intended use case of a project I'd like to use |
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Rules for propagating attrs and encoding 264049503 | |
362624658 | https://github.com/pydata/xarray/issues/1614#issuecomment-362624658 | https://api.github.com/repos/pydata/xarray/issues/1614 | MDEyOklzc3VlQ29tbWVudDM2MjYyNDY1OA== | brey 5442433 | 2018-02-02T15:54:41Z | 2018-02-02T15:54:41Z | NONE | I am also interested. In terms of the table from @jhamman I am in principle ok with. However, there could be an option to refer to the original attrs in order to provide provenance even on operations like reduce and arithmetic. The idea here is reproducibility and tractability. Maybe an 'origin' attribute? |
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Rules for propagating attrs and encoding 264049503 | |
343617001 | https://github.com/pydata/xarray/issues/1614#issuecomment-343617001 | https://api.github.com/repos/pydata/xarray/issues/1614 | MDEyOklzc3VlQ29tbWVudDM0MzYxNzAwMQ== | ethan-campbell 8204522 | 2017-11-10T23:50:18Z | 2017-11-10T23:50:18Z | NONE | I'd also suggest that a global option of always_keep_attrs=True would be useful. While I understand the logic of dropping units during certain operations, it makes attributes unusable for storing other miscellaneous metadata, e.g. on data provenance. As a recent xarray convert, this behavior has been frustrating. |
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Rules for propagating attrs and encoding 264049503 |
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