issues: 256251595
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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 |
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| 256251595 | MDU6SXNzdWUyNTYyNTE1OTU= | 1563 | 0.8.2 incompatible with pandas 0.20.1 ? | 1277781 | closed | 0 | 4 | 2017-09-08T13:19:25Z | 2017-09-08T23:15:36Z | 2017-09-08T20:27:06Z | CONTRIBUTOR | This issue may be related to #1386 I hope this part of the stacktrace is sufficient to demonstrate my point: File "C:\src\validation\main\risk_reporting\data_access\db_model.py", line 246, in get_data ds = ds.groupby('pvshort').apply(select_latest_pv) File "C:\Anaconda2\lib\site-packages\xarray\core\common.py", line 345, in groupby return self.groupby_cls(self, group, squeeze=squeeze) File "C:\Anaconda2\lib\site-packages\xarray\core\groupby.py", line 226, in init unique_values, group_indices = unique_value_groups(group, sort=sort) File "C:\Anaconda2\lib\site-packages\xarray\core\groupby.py", line 34, in unique_value_groups inverse, values = pd.factorize(ar, sort=sort) File "C:\Anaconda2\lib\site-packages\pandas\core\algorithms.py", line 552, in factorize values = _ensure_arraylike(values) File "C:\Anaconda2\lib\site-packages\pandas\core\algorithms.py", line 166, in _ensure_arraylike values = lib.list_to_object_array(values) TypeError: Argument 'obj' has incorrect type (expected list, got DataArray) |
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completed | 13221727 | issue |