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| id | node_id | number | title | user | state | locked | assignee | milestone | comments | created_at | updated_at ▲ | closed_at | author_association | active_lock_reason | draft | pull_request | body | reactions | performed_via_github_app | state_reason | repo | type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1471685307 | I_kwDOAMm_X85XuCK7 | 7344 | Disable bottleneck by default? | dcherian 2448579 | open | 0 | 11 | 2022-12-01T17:26:11Z | 2024-03-27T00:22:41Z | MEMBER | What is your issue?Our choice to enable bottleneck by default results in quite a few issues about numerical stability and funny dtype behaviour: #7336, #7128, #2370, #1346 (and probably more) Shall we disable it by default? |
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xarray 13221727 | issue | ||||||||
| 484270833 | MDU6SXNzdWU0ODQyNzA4MzM= | 3248 | combine_by_coords fails with DataArrays | dcherian 2448579 | closed | 0 | 11 | 2019-08-23T00:11:38Z | 2021-07-02T21:34:36Z | 2021-07-02T21:34:36Z | MEMBER | MCVE Code Sample
```ValueError Traceback (most recent call last) <ipython-input-133-d27216ba5688> in <module> 1 da1 = xr.DataArray([1, 2, 3], dims='x', coords={'x': [0, 1, 2]}) 2 da2 = xr.DataArray([3, 4, 5], dims='x', coords={'x': [2, 3, 4]}) ----> 3 xr.combine_by_coords([da1, da2]) ~/work/python/xarray/xarray/core/combine.py in combine_by_coords(datasets, compat, data_vars, coords, fill_value, join) 619 compat=compat, 620 fill_value=fill_value, --> 621 join=join, 622 ) 623 ~/work/python/xarray/xarray/core/merge.py in merge(objects, compat, join, fill_value) 588 ) 589 --> 590 obj = obj.to_dataset() if isinstance(obj, DataArray) else obj 591 dict_like_objects.append(obj) 592 ~/work/python/xarray/xarray/core/dataarray.py in to_dataset(self, dim, name) 478 return self._to_dataset_split(dim) 479 else: --> 480 return self._to_dataset_whole(name) 481 482 @property ~/work/python/xarray/xarray/core/dataarray.py in _to_dataset_whole(self, name, shallow_copy) 426 if name is None: 427 raise ValueError( --> 428 "unable to convert unnamed DataArray to a " 429 "Dataset without providing an explicit name" 430 ) ValueError: unable to convert unnamed DataArray to a Dataset without providing an explicit name ``` To get what I want, I need
I think the issue is that the code uses |
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completed | xarray 13221727 | issue | ||||||
| 547012915 | MDU6SXNzdWU1NDcwMTI5MTU= | 3673 | Test failures with pandas master | dcherian 2448579 | closed | 0 | 11 | 2020-01-08T17:48:06Z | 2020-01-29T17:21:14Z | 2020-01-29T17:21:14Z | MEMBER |
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completed | xarray 13221727 | issue | ||||||
| 555258488 | MDExOlB1bGxSZXF1ZXN0MzY3MjQwMDE3 | 3723 | Fix whats-new for 0.15 | dcherian 2448579 | closed | 0 | 11 | 2020-01-26T17:11:56Z | 2020-01-28T23:08:19Z | 2020-01-28T23:08:13Z | MEMBER | 0 | pydata/xarray/pulls/3723 | whats-new fixes. |
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xarray 13221727 | pull | |||||
| 484752930 | MDExOlB1bGxSZXF1ZXN0MzEwNTY1NzQ1 | 3258 | [WIP] Add map_blocks. | dcherian 2448579 | closed | 0 | 11 | 2019-08-24T00:00:56Z | 2019-09-08T04:20:26Z | 2019-09-08T04:20:20Z | MEMBER | 0 | pydata/xarray/pulls/3258 |
ping @mrocklin @sofroniewn @shanaxel42 |
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xarray 13221727 | pull |
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