issue_comments: 1206194852

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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)

 
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