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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.

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