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- removing uneccessary dimension · 2 ✖
| id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1115437279 | https://github.com/pydata/xarray/issues/3946#issuecomment-1115437279 | https://api.github.com/repos/pydata/xarray/issues/3946 | IC_kwDOAMm_X85CfDjf | stale[bot] 26384082 | 2022-05-02T22:37:47Z | 2022-05-02T22:37:47Z | NONE | In order to maintain a list of currently relevant issues, we mark issues as stale after a period of inactivity If this issue remains relevant, please comment here or remove the |
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removing uneccessary dimension 595813283 | |
| 611208139 | https://github.com/pydata/xarray/issues/3946#issuecomment-611208139 | https://api.github.com/repos/pydata/xarray/issues/3946 | MDEyOklzc3VlQ29tbWVudDYxMTIwODEzOQ== | lanougue 32069530 | 2020-04-08T21:37:45Z | 2020-04-08T21:37:45Z | NONE | @TomNicholas , Thanks for yor help. That is exactly what I wanted to do but, as you said there is probably a more efficent way to do it. @dcherian I needed this function because I sometimes use the groupby_bins() function followed by a concatenantion along a new dimension. This can drastically increase memory due to the multiplication of other variables in a Dataset. Independantly of my usage, having a function that remove redundant data seems interessant to me. There is probably other combination of function that can accidently duplicate data. |
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removing uneccessary dimension 595813283 |
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