issue_comments: 747296742
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html_url | issue_url | id | node_id | user | created_at | updated_at | author_association | body | reactions | performed_via_github_app | issue |
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https://github.com/pydata/xarray/pull/4700#issuecomment-747296742 | https://api.github.com/repos/pydata/xarray/issues/4700 | 747296742 | MDEyOklzc3VlQ29tbWVudDc0NzI5Njc0Mg== | 10194086 | 2020-12-17T08:40:57Z | 2020-12-17T08:40:57Z | MEMBER | It took around 40 s for an array of 10**9 elements. That would be around 150 years of daily data (180*360*150*365). I am not sure though how much sense it makes to have such a large array with object dtype. Also an array of this size is likely a dask array and there is already a performance warning on this. So I'd say go ahead. |
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