html_url,issue_url,id,node_id,user,created_at,updated_at,author_association,body,reactions,performed_via_github_app,issue
https://github.com/pydata/xarray/issues/1075#issuecomment-636641496,https://api.github.com/repos/pydata/xarray/issues/1075,636641496,MDEyOklzc3VlQ29tbWVudDYzNjY0MTQ5Ng==,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!","{""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,186895655
https://github.com/pydata/xarray/issues/1075#issuecomment-635415386,https://api.github.com/repos/pydata/xarray/issues/1075,635415386,MDEyOklzc3VlQ29tbWVudDYzNTQxNTM4Ng==,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?","{""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,186895655