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  • andreall · 2 ✖

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  • quantile to_netcdf loading original data · 2 ✖

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  • NONE · 2 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
874205134 https://github.com/pydata/xarray/issues/5567#issuecomment-874205134 https://api.github.com/repos/pydata/xarray/issues/5567 MDEyOklzc3VlQ29tbWVudDg3NDIwNTEzNA== andreall 25382032 2021-07-05T15:48:50Z 2021-07-05T15:48:50Z NONE

oh I get it now. Thanks. Indeed it works now when chunking lat and lon from the start.

 
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   quantile to_netcdf loading original data 935818279
873123273 https://github.com/pydata/xarray/issues/5567#issuecomment-873123273 https://api.github.com/repos/pydata/xarray/issues/5567 MDEyOklzc3VlQ29tbWVudDg3MzEyMzI3Mw== andreall 25382032 2021-07-02T16:37:03Z 2021-07-02T16:37:03Z NONE

ds.chunk({'time': -1})

I suspect this is making your entire dataset one big chunk. I would chunk along lat and lon in open_mfdataset first.

But if I am doing ds.quantile(quantiles, dim='time') and assigning it again to ds, wouldn't that erase the big dataset from memory? (sorry for the ignorance). Thanks

 
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   quantile to_netcdf loading original data 935818279

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