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/23#issuecomment-36186205,https://api.github.com/repos/pydata/xarray/issues/23,36186205,MDEyOklzc3VlQ29tbWVudDM2MTg2MjA1,1794715,2014-02-26T22:32:06Z,2014-02-26T22:32:06Z,CONTRIBUTOR,"Looks like this may be the only option.  Based on my tests, netCDF4 is strongly antithetical to any kind of streams/piped buffers.  If we go the hdf5 route, we'd have to reimplement the CDM/netcdf4 on top of hdf5, no?
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,28375178
https://github.com/pydata/xarray/issues/23#issuecomment-36185024,https://api.github.com/repos/pydata/xarray/issues/23,36185024,MDEyOklzc3VlQ29tbWVudDM2MTg1MDI0,514053,2014-02-26T22:21:01Z,2014-02-26T22:21:01Z,CONTRIBUTOR,"Another similar option would be to use in-memory HDF5 objects for which Todd Small found an option:

Writing to a string:

```
h5_file = tables.open_file(""in-memory"", title=my_title, mode=""w"",   12
                               driver=""H5FD_CORE"", driver_core_backing_store=0)
... [add variables] ...
image = h5_file.get_file_image()
```

Reading from a string

```
h5_file = tables.open_file(""in-memory"", mode=""r"", driver=""H5FD_CORE"",
                               driver_core_image=image,
                               driver_core_backing_store=0)
```
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,28375178