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/6355#issuecomment-1068012109,https://api.github.com/repos/pydata/xarray/issues/6355,1068012109,IC_kwDOAMm_X84_qJJN,10194086,2022-03-15T13:50:50Z,2022-03-15T13:50:50Z,MEMBER,Potentially related: #4824 (especially https://github.com/pydata/xarray/issues/4824#issuecomment-841244252) ,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1168304665
https://github.com/pydata/xarray/issues/6355#issuecomment-1066845844,https://api.github.com/repos/pydata/xarray/issues/6355,1066845844,IC_kwDOAMm_X84_lsaU,24227838,2022-03-14T14:14:28Z,2022-03-14T14:57:08Z,NONE,"For information:
they is a problem only for the second dimension
this example works well
```shell
6| x4 x4 x4
5| x4 x4 x4
4| x4 x4 x4
3| x3 x3 x3
2| x3 x3 x3
1| x3 x3 x3
----------------
10 20 30 40
```
```python
x3 = xr.Dataset(
{
""temperature"": ((""y"", ""x""), 20 * np.random.rand(9).reshape(3, 3)),
""precipitation"": ((""y"", ""x""), np.random.rand(9).reshape(3, 3)),
},
coords={""y"": [20, 30, 40], ""x"": [1, 2, 3]},
)
x4 = xr.Dataset(
{
""temperature"": ((""y"", ""x""), 20 * np.random.rand(9).reshape(3, 3)),
""precipitation"": ((""y"", ""x""), np.random.rand(9).reshape(3, 3)),
},
coords={""y"": [10, 20, 30], ""x"": [4, 5, 6]},
)
ds_test = xr.combine_by_coords([x3, x4])
ds_test.temperature.plot()
```
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1168304665