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  • Should Xarray have a read_csv method? · 3 ✖

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id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
1261236242 https://github.com/pydata/xarray/issues/7071#issuecomment-1261236242 https://api.github.com/repos/pydata/xarray/issues/7071 IC_kwDOAMm_X85LLPAS max-sixty 5635139 2022-09-28T17:32:38Z 2022-09-28T17:32:38Z MEMBER

Agree with (1) or (3). I do (1) a lot, no harm in adding it to xarray.

I could also imagine (2) with options for backends (e.g. pandas as one option). But I would vote against developing our own.

 
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   Should Xarray have a read_csv method? 1383037028
1261165644 https://github.com/pydata/xarray/issues/7071#issuecomment-1261165644 https://api.github.com/repos/pydata/xarray/issues/7071 IC_kwDOAMm_X85LK9xM dcherian 2448579 2022-09-28T16:35:19Z 2022-09-28T16:35:19Z MEMBER

(1) and (3) sound good to me.

For (2), one thing that comes to mind is that all the decode_* options don't make any sense for csv files? 

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   Should Xarray have a read_csv method? 1383037028
1256327072 https://github.com/pydata/xarray/issues/7071#issuecomment-1256327072 https://api.github.com/repos/pydata/xarray/issues/7071 IC_kwDOAMm_X85K4geg TomNicholas 35968931 2022-09-23T14:59:28Z 2022-09-23T14:59:56Z MEMBER

Ideally, we don't force the user to use a third party library.

Option (2) would make more sense once we hopefully eventually make pandas an optional dependency too.

I think (1) and (3) are complementary - we already have pseudocode implementations of open_mfdataset in the docs for example.

(2) seems like overkill unless there is specific functionality you are imagining this enabling?

 
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   Should Xarray have a read_csv method? 1383037028

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