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2 rows where issue = 442063346 and user = 1217238 sorted by updated_at descending
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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 |
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491087998 | https://github.com/pydata/xarray/issues/2949#issuecomment-491087998 | https://api.github.com/repos/pydata/xarray/issues/2949 | MDEyOklzc3VlQ29tbWVudDQ5MTA4Nzk5OA== | shoyer 1217238 | 2019-05-09T22:17:19Z | 2019-05-09T22:17:19Z | MEMBER | I don't think we even bother to shallow copy the pandas Index from the DataArray. We should probably do that. |
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xr.DataArray.to_series returns a (mutable) view 442063346 | |
490966302 | https://github.com/pydata/xarray/issues/2949#issuecomment-490966302 | https://api.github.com/repos/pydata/xarray/issues/2949 | MDEyOklzc3VlQ29tbWVudDQ5MDk2NjMwMg== | shoyer 1217238 | 2019-05-09T16:05:53Z | 2019-05-09T16:05:53Z | MEMBER | I would tend to agree here -- the only data for which we want to use views are (potentially large) numpy arrays. |
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xr.DataArray.to_series returns a (mutable) view 442063346 |
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