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- Dropping a MultiIndex variable raises an error after explicit indexes refactor · 3 ✖
| id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1183458691 | https://github.com/pydata/xarray/issues/6505#issuecomment-1183458691 | https://api.github.com/repos/pydata/xarray/issues/6505 | IC_kwDOAMm_X85GiiWD | shoyer 1217238 | 2022-07-13T16:51:09Z | 2022-07-13T16:51:31Z | MEMBER | Reopening because my second example |
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Dropping a MultiIndex variable raises an error after explicit indexes refactor 1210267320 | |
| 1117682042 | https://github.com/pydata/xarray/issues/6505#issuecomment-1117682042 | https://api.github.com/repos/pydata/xarray/issues/6505 | IC_kwDOAMm_X85Cnnl6 | dcherian 2448579 | 2022-05-04T18:43:41Z | 2022-05-04T18:43:41Z | MEMBER | Here's another version of the same bug affecting `Dataset.assign) ``` python import xarray array = xarray.DataArray( [[1, 2], [3, 4]], dims=['x', 'y'], coords={'x': ['a', 'b']}, ) stacked = array.stack(z=['x', 'y']).to_dataset(name="a") stacked.assign_coords(f1=2stacked.a) # works stacked.assign(f2=2stacked.a) # error ```
```
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
Input In [33], in <cell line: 10>()
8 stacked = array.stack(z=['x', 'y']).to_dataset(name="a")
9 stacked.assign_coords(f1=2*stacked.a)
---> 10 stacked.assign(f2=2*stacked.a)
File ~/work/python/xarray/xarray/core/dataset.py:5444, in Dataset.assign(self, variables, **variables_kwargs)
5442 results = data._calc_assign_results(variables)
5443 # ... and then assign
-> 5444 data.update(results)
5445 return data
File ~/work/python/xarray/xarray/core/dataset.py:4421, in Dataset.update(self, other)
4385 def update(self, other: CoercibleMapping) -> Dataset:
4386 """Update this dataset's variables with those from another dataset.
4387
4388 Just like :py:meth:`dict.update` this is a in-place operation.
(...)
4419 Dataset.merge
4420 """
-> 4421 merge_result = dataset_update_method(self, other)
4422 return self._replace(inplace=True, **merge_result._asdict())
File ~/work/python/xarray/xarray/core/merge.py:1068, in dataset_update_method(dataset, other)
1062 coord_names = [
1063 c
1064 for c in value.coords
1065 if c not in value.dims and c in dataset.coords
1066 ]
1067 if coord_names:
-> 1068 other[key] = value.drop_vars(coord_names)
1070 return merge_core(
1071 [dataset, other],
1072 priority_arg=1,
1073 indexes=dataset.xindexes,
1074 combine_attrs="override",
1075 )
File ~/work/python/xarray/xarray/core/dataarray.py:2406, in DataArray.drop_vars(self, names, errors)
2387 def drop_vars(
2388 self, names: Hashable | Iterable[Hashable], *, errors: str = "raise"
2389 ) -> DataArray:
2390 """Returns an array with dropped variables.
2391
2392 Parameters
(...)
2404 New Dataset copied from `self` with variables removed.
2405 """
-> 2406 ds = self._to_temp_dataset().drop_vars(names, errors=errors)
2407 return self._from_temp_dataset(ds)
File ~/work/python/xarray/xarray/core/dataset.py:4549, in Dataset.drop_vars(self, names, errors)
4546 if errors == "raise":
4547 self._assert_all_in_dataset(names)
-> 4549 assert_no_index_corrupted(self.xindexes, names)
4551 variables = {k: v for k, v in self._variables.items() if k not in names}
4552 coord_names = {k for k in self._coord_names if k in variables}
File ~/work/python/xarray/xarray/core/indexes.py:1394, in assert_no_index_corrupted(indexes, coord_names)
1392 common_names_str = ", ".join(f"{k!r}" for k in common_names)
1393 index_names_str = ", ".join(f"{k!r}" for k in index_coords)
-> 1394 raise ValueError(
1395 f"cannot remove coordinate(s) {common_names_str}, which would corrupt "
1396 f"the following index built from coordinates {index_names_str}:\n"
1397 f"{index}"
1398 )
ValueError: cannot remove coordinate(s) 'y', 'x', which would corrupt the following index built from coordinates 'z', 'x', 'y':
<xarray.core.indexes.PandasMultiIndex object at 0x16d3a6430>
```
|
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Dropping a MultiIndex variable raises an error after explicit indexes refactor 1210267320 | |
| 1104831702 | https://github.com/pydata/xarray/issues/6505#issuecomment-1104831702 | https://api.github.com/repos/pydata/xarray/issues/6505 | IC_kwDOAMm_X85B2mTW | benbovy 4160723 | 2022-04-21T07:50:15Z | 2022-04-21T07:50:15Z | MEMBER | I agree a depreciation warning is a bit nicer than an error message for this specific case. If we agree on eventually removing the pandas multi-index dimension coordinate, perhaps this issue should be addressed in that wider context as it will be directly impacted? It would make our plans clear to users if we issue a depreciation warning message that already mentions this future removal (and that we could also issue now or later in other places like |
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Dropping a MultiIndex variable raises an error after explicit indexes refactor 1210267320 |
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