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/6691#issuecomment-1158434252,https://api.github.com/repos/pydata/xarray/issues/6691,1158434252,IC_kwDOAMm_X85FDE3M,90059220,2022-06-17T02:54:27Z,2022-06-17T02:54:27Z,NONE,"Thank you for upgrading this question. Using keewis suggestion:
> We could try to work around this by wrapping `argmin` and `argmax` in a function that ravels / unravels the reduce dimensions.

I had a look into `numpy` documentation and came up with a work around like so:
```python
import numpy as np, xarray as xr

arr = xr.DataArray(np.ones((5,6,7)))
arr[1,3,2], arr[3,1,4] = 0, 2

print('Values:',arr.min(), arr.max())

min_pos = np.concatenate(np.where(arr == arr.min()))
max_pos = np.concatenate(np.where(arr == arr.max()))
print('Indexes on nD:', min_pos, max_pos)
```
It is not perfect I suppose but it is doing the job for now.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1268821199