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
https://github.com/pydata/xarray/issues/1075#issuecomment-373749850,https://api.github.com/repos/pydata/xarray/issues/1075,373749850,MDEyOklzc3VlQ29tbWVudDM3Mzc0OTg1MA==,4528512,2018-03-16T15:30:18Z,2018-03-16T15:30:18Z,NONE,"@delgadom Ah, I see. I needed `libnetcdf=4.5.0`, I had been using an earlier version. Sounds like prior to `4.5.0` there were still some issues with the name of the file being passed into netCDF4.Dataset, as is mentioned here: https://github.com/Unidata/netcdf4-python/issues/295","{""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-373517197,https://api.github.com/repos/pydata/xarray/issues/1075,373517197,MDEyOklzc3VlQ29tbWVudDM3MzUxNzE5Nw==,4528512,2018-03-15T20:45:50Z,2018-03-15T20:45:50Z,NONE,@delgadom which version of netCDF4 are you using? I'm following your same steps but am still receiving an `[Errno 2] No such file or directory`,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,186895655
https://github.com/pydata/xarray/issues/1075#issuecomment-345989495,https://api.github.com/repos/pydata/xarray/issues/1075,345989495,MDEyOklzc3VlQ29tbWVudDM0NTk4OTQ5NQ==,2979205,2017-11-21T10:50:40Z,2017-11-21T10:51:43Z,NONE,"FWIW this would be really useful 👍 from me, specifically for the use case above of reading from s3","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,186895655