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/5872#issuecomment-950912627,https://api.github.com/repos/pydata/xarray/issues/5872,950912627,IC_kwDOAMm_X844rcZz,10194086,2021-10-25T13:10:06Z,2021-10-25T13:10:06Z,MEMBER,See pandas-dev/pandas#44178,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1028482291
https://github.com/pydata/xarray/issues/5872#issuecomment-950891355,https://api.github.com/repos/pydata/xarray/issues/5872,950891355,IC_kwDOAMm_X844rXNb,10194086,2021-10-25T12:50:05Z,2021-10-25T12:50:05Z,MEMBER,"I think this is an upstream issue (or intended change). 

```python
import numpy as np
import pandas as pd

pd.Series([1.7, 0.5, np.nan]).sum(skipna=None)
```
returns `2.2` in pandas 1.3.4 and `nan` in main. Pandas is used to verify the result. That means that `result` is still correct in the test but `expected` has changed.

https://github.com/pydata/xarray/blob/fdabf3bea5c750939a4a2ae60f80ed34a6aebd58/xarray/tests/test_duck_array_ops.py#L580

uses pandas

https://github.com/pydata/xarray/blob/fdabf3bea5c750939a4a2ae60f80ed34a6aebd58/xarray/tests/test_duck_array_ops.py#L262-L263

I'll go check if this is reported upstream.
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1028482291