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/6876#issuecomment-1206194852,https://api.github.com/repos/pydata/xarray/issues/6876,1206194852,IC_kwDOAMm_X85H5RKk,14808389,2022-08-05T08:37:28Z,2022-08-05T08:38:54Z,MEMBER,"I'm not sure about this, but I think the reason is that we're using `bottleneck` to speed up the computation, which returns a python `float` object for scalars. To be able to wrap it, `xarray` will convert it to a 0d array, which by default has a dtype of `float64`.

`np.{min,max}` returns `np.float32` instances, so the dtype information is not lost with that.

To work around that, you can disable bottleneck:
```python
xr.set_options(use_bottleneck=False)
```","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1328531407