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1 row where comments = 4, repo = 13221727 and "updated_at" is on date 2021-05-04 sorted by updated_at descending

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  • xarray · 1 ✖
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 ktyle 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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  completed xarray 13221727 issue

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