issue_comments: 413658420

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https://github.com/pydata/xarray/issues/2370#issuecomment-413658420 https://api.github.com/repos/pydata/xarray/issues/2370 413658420 MDEyOklzc3VlQ29tbWVudDQxMzY1ODQyMA== 5179430 2018-08-16T19:28:42Z 2018-08-16T19:28:42Z CONTRIBUTOR

Perhaps we could make it possible to to set the ops engine (to either numpy or bottleneck) and dtype (float32, float64) via set_options()? Right now bottleneck is automatically chosen if it is installed, which is rather annoying since the xarray recipe on conda-forge ships with bottleneck even though it should be an optional dependency. Maybe that's something I should take up with the feedstock maintainers, but at the very least I think xarray should at least make its inclusion less rigid in light of these issues. 

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