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id node_id number title user state locked assignee milestone comments created_at updated_at ▲ closed_at author_association active_lock_reason draft pull_request body reactions performed_via_github_app state_reason repo type
218459353 MDU6SXNzdWUyMTg0NTkzNTM= 1346 bottleneck : Wrong mean for float32 array matteodefelice 6360066 open 0     19 2017-03-31T10:15:42Z 2022-05-08T19:54:57Z   NONE      

I think it is better to have this discussion here instead of on the dask page https://github.com/dask/dask/issues/2095

This is the replicable "bug": ds = xarray.open_dataset('/opt/data/ERAIN/ERAIN-t2m-1983-2012.seasmean.nc') ds.var167.mean() Out[14]: <xarray.DataArray 'var167' ()> array(261.6441345214844) ds.var167.data.mean() Out[15]: 278.62466

The dataset is ~65 MB, here the file https://www.dropbox.com/s/xtj3fm7ihtbwd5r/ERAIN-t2m-1983-2012.seasmean.nc?dl=0 It is a quite normal NetCDF (no NaN), just processed with CDO as you can see on the dask issue.

 
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     xarray 13221727 issue

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