id,node_id,number,title,user,state,locked,assignee,milestone,comments,created_at,updated_at,closed_at,author_association,active_lock_reason,draft,pull_request,body,reactions,performed_via_github_app,state_reason,repo,type
180080354,MDU6SXNzdWUxODAwODAzNTQ=,1020,Memory error when converting dataset to dataframe,1961038,closed,0,,,4,2016-09-29T15:21:58Z,2021-05-04T18:03:32Z,2016-09-30T15:38:01Z,NONE,,,,"When working with NOAA's High Resolution Rapid Refresh (HRRR) model output data (GRIB2, automatically converted to NetCDF via either GrADS Data Server or THREDDS), xrd.to_dataframe() throws a MemoryError.

Here's a sample URL that I use to assign to an xarray dataset object:

'http://nomads.ncep.noaa.gov:9090/dods/hrrr/hrrr'+model_day+'/hrrr_sfc_'+model_hour+'z'

where model_day is of the form YYYYMMDD and model_hour is of the form HH

These datasets are quite large (1155x2503 latxlon) ... is there a limit as to how large an xarray dataset can be for it to be converted to a dataframe?
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