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  • Rolling mean on dask array does not preserve dtype · 2 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
1254063029 https://github.com/pydata/xarray/issues/7062#issuecomment-1254063029 https://api.github.com/repos/pydata/xarray/issues/7062 IC_kwDOAMm_X85Kv3u1 slevang 39069044 2022-09-21T18:15:46Z 2022-09-21T18:15:46Z CONTRIBUTOR

Without bottleneck, I guess both options from the MVCE above get routed through _mean: ```python

xr.set_options(use_bottleneck=False) da = xr.DataArray([1,2,3], coords={'x':[1,2,3]}).astype('float32') da.rolling(x=3, min_periods=1).mean().dtype dtype('float64') da.chunk({'x':1}).rolling(x=3, min_periods=1).mean().dtype dtype('float64') ```

And after #7063: ```python

xr.set_options(use_bottleneck=False) da = xr.DataArray([1,2,3], coords={'x':[1,2,3]}).astype('float32') da.rolling(x=3, min_periods=1).mean().dtype dtype('float32') da.chunk({'x':1}).rolling(x=3, min_periods=1).mean().dtype dtype('float32') ```

 
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   Rolling mean on dask array does not preserve dtype 1381294181
1254047656 https://github.com/pydata/xarray/issues/7062#issuecomment-1254047656 https://api.github.com/repos/pydata/xarray/issues/7062 IC_kwDOAMm_X85Kvz-o dcherian 2448579 2022-09-21T18:01:25Z 2022-09-21T18:01:25Z MEMBER

Is this also true with xr.set_options(use_bottleneck=False)?

 
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   Rolling mean on dask array does not preserve dtype 1381294181

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