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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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906201836 | https://github.com/pydata/xarray/issues/5738#issuecomment-906201836 | https://api.github.com/repos/pydata/xarray/issues/5738 | IC_kwDOAMm_X842A4rs | benbovy 4160723 | 2021-08-26T08:25:47Z | 2021-08-26T08:25:47Z | MEMBER | My initial thoughts was to opt for D because it is easier to maintain (less special cases, less complexity, internally we could get rid of I was thinking about this kind of behavior (even though reverting previous changes is not ideal): ```python ds = xr.Dataset(coords={'dim0': ['a', 'b'], 'dim1': [0, 1]}) ds = ds.stack(dim_stacked=['dim0', 'dim1']) This works: dim0 is not a dimension in bds['c'] = (('dim0',), [10, 11, 12, 13, 14, 15]) raise a nice error message here: conflicting sizes for dimension 'dim0'ds.unstack(dim_stacked) raise a nice error message here: conflicting sizes for dimension 'dim0'ds.sel(dim1=0) ``` However, this may be confusing in the case of integer-based vs. label based indexing: ```python label-based selection along
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Flexible indexes: how to handle possible dimension vs. coordinate name conflicts? 979316661 | |
906159715 | https://github.com/pydata/xarray/issues/5738#issuecomment-906159715 | https://api.github.com/repos/pydata/xarray/issues/5738 | IC_kwDOAMm_X842AuZj | benbovy 4160723 | 2021-08-26T07:21:07Z | 2021-08-26T07:21:07Z | MEMBER | @fujiisoup @shoyer @aseyboldt |
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Flexible indexes: how to handle possible dimension vs. coordinate name conflicts? 979316661 |
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