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  • include/exclude lists in Dataset.expand_dims · 1 ✖

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  • CONTRIBUTOR · 1 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
1299369449 https://github.com/pydata/xarray/issues/7239#issuecomment-1299369449 https://api.github.com/repos/pydata/xarray/issues/7239 IC_kwDOAMm_X85Ncs3p hmaarrfk 90008 2022-11-01T23:54:07Z 2022-11-01T23:54:07Z CONTRIBUTOR

I think these are good alternatives.

From my experiments (and I'm still trying to create a minimum reproducible code that shows the real problem behind the slowdowns) reindexing can be quite an expensive. We used to have many coordinates (to ensure that critical metdata stays with data_variables) and those coordinates were causing slowdowns on reindexing operations.

Thus the two calls update and expand_dims might cause two reindex merges to occur.

However, for this particular issue, I think that documenting the strategies proposed in the docstring is good enough. I have a feeling if one can get to the bottom of 7224, the performance concerns here will be mitigated too.

We can leave the performance discussion to: https://github.com/pydata/xarray/issues/7224

 
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   include/exclude lists in Dataset.expand_dims 1429172192

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