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  • Memory error when converting dataset to dataframe · 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
832111396 https://github.com/pydata/xarray/issues/1020#issuecomment-832111396 https://api.github.com/repos/pydata/xarray/issues/1020 MDEyOklzc3VlQ29tbWVudDgzMjExMTM5Ng== meteoDaniel 27021858 2021-05-04T17:24:15Z 2021-05-04T17:24:15Z NONE

@shoyer I am having a similar problem. I am reading 80 files with total 8.3 GB . So each files has around 100 MB. If I understand you right: Using mf_dataset on such data is not recommend? So best practive wouold be to loop over the files ?

PS: I still tried to use some dask related operations but eachtime I try to access .values or use to_dataframe the memory usage explodes. Thanks a lot for answering ;) 

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   Memory error when converting dataset to dataframe 180080354
250777441 https://github.com/pydata/xarray/issues/1020#issuecomment-250777441 https://api.github.com/repos/pydata/xarray/issues/1020 MDEyOklzc3VlQ29tbWVudDI1MDc3NzQ0MQ== ktyle 1961038 2016-09-30T15:38:01Z 2016-09-30T15:38:01Z NONE

Good to know, and since the system I'm running on has 96 GB of RAM, I think your statement about pandas is correct too, as I also get the memory error when running on a smaller (18GB) dataset.

 
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   Memory error when converting dataset to dataframe 180080354

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