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- Memory error when converting dataset to dataframe · 2 ✖
| id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 832136328 | https://github.com/pydata/xarray/issues/1020#issuecomment-832136328 | https://api.github.com/repos/pydata/xarray/issues/1020 | MDEyOklzc3VlQ29tbWVudDgzMjEzNjMyOA== | shoyer 1217238 | 2021-05-04T18:03:32Z | 2021-05-04T18:03:32Z | MEMBER | @meteoDaniel could you please open thread for discussing your issue? This could be a good use for the GitHub "Discussions" tab :) Including a copy of the "repr" from printing your dataset would help us give more specific guidance. |
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Memory error when converting dataset to dataframe 180080354 | |
| 250615133 | https://github.com/pydata/xarray/issues/1020#issuecomment-250615133 | https://api.github.com/repos/pydata/xarray/issues/1020 | MDEyOklzc3VlQ29tbWVudDI1MDYxNTEzMw== | shoyer 1217238 | 2016-09-29T22:53:39Z | 2016-09-29T22:53:39Z | MEMBER | Looking at your dataset: ```
So it's at least 57 GB when decoded as float64. This is probably more RAM than you have on your machine. But also, when xarray writes a dataframe every variable first gets expanded to use all dimensions. So this is something like 5 * 57 GB in memory, and pandas probably needs a memory copy to create the DataFrame, so this probably needs at least 500 GB. You'll have better luck subsetting the dataset first. |
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Memory error when converting dataset to dataframe 180080354 |
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