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/7071#issuecomment-1264569258,https://api.github.com/repos/pydata/xarray/issues/7071,1264569258,IC_kwDOAMm_X85LX8uq,43316012,2022-10-02T07:01:25Z,2022-10-02T07:01:25Z,COLLABORATOR,"Seeing that in another issue (can't find the number) it was discussed to move away from specialized read/write methods and only use `open_dataset`(maybe a `Dataset.read`?) and `ds.write` with engine arguments.
Therefore option 2 would make sense.

However, new users that might be familiar with pandas are maybe more comfortable with an `xr.read_csv`.

On a side note: there is also `dask.dataframe.read_csv`.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1383037028