html_url,issue_url,id,node_id,user,created_at,updated_at,author_association,body,reactions,performed_via_github_app,issue
https://github.com/pydata/xarray/issues/4265#issuecomment-664024748,https://api.github.com/repos/pydata/xarray/issues/4265,664024748,MDEyOklzc3VlQ29tbWVudDY2NDAyNDc0OA==,6628425,2020-07-26T18:35:32Z,2020-07-26T18:35:32Z,MEMBER,I think I tracked down the root of this odd behavior in nc-time-axis; see SciTools/nc-time-axis#45 for more details.,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,665232266
https://github.com/pydata/xarray/issues/4265#issuecomment-663987155,https://api.github.com/repos/pydata/xarray/issues/4265,663987155,MDEyOklzc3VlQ29tbWVudDY2Mzk4NzE1NQ==,6628425,2020-07-26T13:18:48Z,2020-07-26T13:18:48Z,MEMBER,"I think this NumPy issue is related: https://github.com/numpy/numpy/issues/16939.  https://github.com/numpy/numpy/pull/16943 was merged yesterday, which appears to have at least allowed this to continue to work for the time being:
```python
>>> import numpy as np
>>> a = np.array([[1., 2.], [3., 4.]])
>>> a[:, 0] = (np.array([0.]), np.array([3650.]))
<stdin>:1: DeprecationWarning: setting an array element with a sequence. This was supported in some cases where the elements are arrays with a single element. For example `np.array([1, np.array([2])], dtype=int)`. In the future this will raise the same ValueError as `np.array([1, [2]], dtype=int)`.
```
Given that this will be deprecated, I think it's still worthwhile to investigate what's causing this upstream in matplotlib or nc-time-axis, but it should be safe to un-xfail these tests again.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,665232266
https://github.com/pydata/xarray/issues/4265#issuecomment-663910843,https://api.github.com/repos/pydata/xarray/issues/4265,663910843,MDEyOklzc3VlQ29tbWVudDY2MzkxMDg0Mw==,6628425,2020-07-25T22:06:45Z,2020-07-25T22:11:02Z,MEMBER,"Thanks for noting this @dcherian; it seems like there may have been a change in NumPy that caused this.  E.g. with NumPy master this doesn't work:
```python
>>> import numpy as np
>>> np.__version__
'1.20.0.dev0+2d12d0c'
>>> a = np.array([[1., 2.], [3., 4.]])
>>> a[:, 0] = (np.array([0.]), np.array([3650.]))
Traceback (most recent call last):
  File ""<stdin>"", line 1, in <module>
ValueError: setting an array element with a sequence. The requested array would exceed the maximum number of dimension of 1.
```
But with earlier versions of NumPy it does:
```python
>>> import numpy as np
>>> np.__version__
'1.19.1'
>>> a = np.array([[1., 2.], [3., 4.]])
>>> a[:, 0] = (np.array([0.]), np.array([3650.]))
>>> a
array([[0.00e+00, 2.00e+00],
       [3.65e+03, 4.00e+00]])
```
I'll need to investigate more to see whether this is something to bring up in the matplotlib or NumPy issue tracker (it could be nc-time-axis related too).  I'm not sure if there's anything we can do in xarray to fix this.  It's probably best to xfail these tests for the time being.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,665232266