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  • shoyer · 2 ✖

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  • std interprets continents as zero not nan · 2 ✖

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id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
490590509 https://github.com/pydata/xarray/issues/2946#issuecomment-490590509 https://api.github.com/repos/pydata/xarray/issues/2946 MDEyOklzc3VlQ29tbWVudDQ5MDU5MDUwOQ== shoyer 1217238 2019-05-08T18:06:04Z 2019-05-08T18:06:04Z MEMBER

It sounds like this is an issue that only comes up when using open_mfdataset? Is so, this indicating that the problem is likely somehow related to using dask arrays.

It be nice to have a minimal example of what goes wrong that doesn't require reading/writing netCDF files. Can you construct a synthetic dataset in memory that exhibits this problem? Note that you can use the .chunk() method to chunk arrays with dask.

 
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   std interprets continents as zero not nan 441222339
490375850 https://github.com/pydata/xarray/issues/2946#issuecomment-490375850 https://api.github.com/repos/pydata/xarray/issues/2946 MDEyOklzc3VlQ29tbWVudDQ5MDM3NTg1MA== shoyer 1217238 2019-05-08T07:13:28Z 2019-05-08T07:13:28Z MEMBER

Can you reproduce this with a synthetic dataset? Please read this guide on "Minimal Bug Reports": http://matthewrocklin.com/blog/work/2018/02/28/minimal-bug-reports

 
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   std interprets continents as zero not nan 441222339

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