issue_comments: 526710709
This data as json
| 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/3213#issuecomment-526710709 | https://api.github.com/repos/pydata/xarray/issues/3213 | 526710709 | MDEyOklzc3VlQ29tbWVudDUyNjcxMDcwOQ== | 923438 | 2019-08-30T18:53:44Z | 2019-08-30T18:53:44Z | NONE | Would it be possible that pd.{Series, DataFrame}.to_xarray() automatically creates a sparse dataarray - or we have a flag in to_xarray which allows controlling for this. I have a very sparse dataframe and everytime I try to convert it to xarray I blow out my memory. Keeping it sparse but logically as a DataArray would be fantastic. |
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