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  • JackKelly · 2 ✖

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  • Support creating DataSet from streaming object · 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
636641496 https://github.com/pydata/xarray/issues/1075#issuecomment-636641496 https://api.github.com/repos/pydata/xarray/issues/1075 MDEyOklzc3VlQ29tbWVudDYzNjY0MTQ5Ng== JackKelly 460756 2020-06-01T06:37:08Z 2020-06-01T06:37:08Z NONE

FWIW, I've also tested @delgadom's technique, using netCDF4 and it also works well (and is useful in situations where we don't want to install h5netcdf). Thanks!

 
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   Support creating DataSet from streaming object 186895655
635415386 https://github.com/pydata/xarray/issues/1075#issuecomment-635415386 https://api.github.com/repos/pydata/xarray/issues/1075 MDEyOklzc3VlQ29tbWVudDYzNTQxNTM4Ng== JackKelly 460756 2020-05-28T15:18:34Z 2020-05-28T15:19:06Z NONE

Is this now implemented (and hence can this issue be closed?) It appears that this works well:

python boto_s3 = boto3.client('s3') s3_object = boto_s3.get_object(Bucket=bucket, Key=key) netcdf_bytes = s3_object['Body'].read() netcdf_bytes_io = io.BytesIO(netcdf_bytes) ds = xr.open_dataset(netcdf_bytes_io)

Is that the right approach to opening a NetCDF file on S3, using the latest xarray code?

 
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   Support creating DataSet from streaming object 186895655

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