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  • jsadler2 · 9 ✖

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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
824238589 https://github.com/pydata/xarray/issues/5189#issuecomment-824238589 https://api.github.com/repos/pydata/xarray/issues/5189 MDEyOklzc3VlQ29tbWVudDgyNDIzODU4OQ== jsadler2 6943441 2021-04-21T17:38:43Z 2021-04-21T17:38:43Z NONE

Well. That is strange. My version of pydap does not have the fix from the PR submitted to solve the issue: https://github.com/pydap/pydap/pull/151/files. When I implement this in my pydap I don't get that error.

 
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   KeyError pulling from Nasa server with Pydap 861684673
824234023 https://github.com/pydata/xarray/issues/5189#issuecomment-824234023 https://api.github.com/repos/pydata/xarray/issues/5189 MDEyOklzc3VlQ29tbWVudDgyNDIzNDAyMw== jsadler2 6943441 2021-04-21T17:31:11Z 2021-04-21T17:31:11Z NONE

Looks like this is the same issue: https://github.com/pydap/pydap/issues/150

 
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   KeyError pulling from Nasa server with Pydap 861684673
824232570 https://github.com/pydata/xarray/issues/5189#issuecomment-824232570 https://api.github.com/repos/pydata/xarray/issues/5189 MDEyOklzc3VlQ29tbWVudDgyNDIzMjU3MA== jsadler2 6943441 2021-04-21T17:28:36Z 2021-04-21T17:28:36Z NONE

So it seems like it's something specific to the NASA dataset/server

 
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   KeyError pulling from Nasa server with Pydap 861684673
824232141 https://github.com/pydata/xarray/issues/5189#issuecomment-824232141 https://api.github.com/repos/pydata/xarray/issues/5189 MDEyOklzc3VlQ29tbWVudDgyNDIzMjE0MQ== jsadler2 6943441 2021-04-21T17:27:53Z 2021-04-21T17:27:53Z NONE

I tried on a public test dataset and I don't get any error:

python import xarray as xr url = "http://test.opendap.org/opendap/data/nc/sst.mnmean.nc.gz" store = xr.backends.PydapDataStore.open(url) ds = xr.open_dataset(store) ds['sst'].isel(time=0, lat=0, lon=0).values array(-1.8, dtype=float32)

 
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   KeyError pulling from Nasa server with Pydap 861684673
824226103 https://github.com/pydata/xarray/issues/5189#issuecomment-824226103 https://api.github.com/repos/pydata/xarray/issues/5189 MDEyOklzc3VlQ29tbWVudDgyNDIyNjEwMw== jsadler2 6943441 2021-04-21T17:17:46Z 2021-04-21T17:17:46Z NONE

Good idea. I'll see if I can find one.

 
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   KeyError pulling from Nasa server with Pydap 861684673
822833896 https://github.com/pydata/xarray/issues/5189#issuecomment-822833896 https://api.github.com/repos/pydata/xarray/issues/5189 MDEyOklzc3VlQ29tbWVudDgyMjgzMzg5Ng== jsadler2 6943441 2021-04-19T22:36:48Z 2021-04-19T22:36:48Z NONE

I get a timeout error when trying load()

 
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   KeyError pulling from Nasa server with Pydap 861684673
822829654 https://github.com/pydata/xarray/issues/5189#issuecomment-822829654 https://api.github.com/repos/pydata/xarray/issues/5189 MDEyOklzc3VlQ29tbWVudDgyMjgyOTY1NA== jsadler2 6943441 2021-04-19T22:31:50Z 2021-04-19T22:32:33Z NONE

I could try. It's a pretty big dataset though. 38x10^9 data points: 

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   KeyError pulling from Nasa server with Pydap 861684673
550044335 https://github.com/pydata/xarray/issues/3476#issuecomment-550044335 https://api.github.com/repos/pydata/xarray/issues/3476 MDEyOklzc3VlQ29tbWVudDU1MDA0NDMzNQ== jsadler2 6943441 2019-11-05T22:07:20Z 2019-11-05T22:07:20Z NONE

Sure In [5]: print(ds) <xarray.Dataset> Dimensions: (datetime: 20, site_code: 20) Coordinates: * datetime (datetime) datetime64[ns] 1970-01-01 ... 1970-01-01T19:00:00 * site_code (site_code) object '01302020' '01303000' ... '01315000' Data variables: streamflow (datetime, site_code) float64 dask.array<shape=(20, 20), chunksize=(20, 20)>

 
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   Error when writing string coordinate variables to zarr 516306758
538520040 https://github.com/pydata/xarray/issues/3374#issuecomment-538520040 https://api.github.com/repos/pydata/xarray/issues/3374 MDEyOklzc3VlQ29tbWVudDUzODUyMDA0MA== jsadler2 6943441 2019-10-04T18:54:53Z 2019-10-04T18:54:53Z NONE

Thanks for the workaround, @jhamman. After I installing the netcdf4 library it runs fine. 

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   Key error in to_netcdf  502720385

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