issue_comments: 762423707

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https://github.com/pydata/xarray/issues/4822#issuecomment-762423707 https://api.github.com/repos/pydata/xarray/issues/4822 762423707 MDEyOklzc3VlQ29tbWVudDc2MjQyMzcwNw== 40218891 2021-01-18T19:03:19Z 2021-01-18T19:03:19Z NONE

This is how I did it:

``` $ ncdump /tmp/x.nc netcdf x { dimensions: x = 1 ; y = 1 ; variables: int foo(y, x) ; foo:coordinates = "x y" ; data:

foo = 0 ; } $ rm x.nc $ ncgen -o x.nc < x.cdl $ python -c "import xarray as xr; ds = xr.open_dataset('/tmp/x.nc', engine='h5netcdf'); print(ds)" ``` Engine netcdf4 works fine, with string or without.

My original code retrieving data from AWS: ``` import s3fs import xarray as xr

s3 = s3fs.S3FileSystem(anon=True) s3path = 's3://wrf-se-ak-ar5/gfdl/hist/daily/1988/WRFDS_1988-04-23.nc'

ds = xr.open_dataset(s3.open(s3path)) print(ds) ` Addingdecode_cf=False`` is a workaround. All attributes are arrays:

Attributes: contact: ['rtladerjr@alaska.edu'] info: ['Alaska CASC'] data: ['Downscaled GFDL-CM3'] format: ['version 2'] date: ['Mon Jul 1 15:17:16 AKDT 2019']

 
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