issue_comments: 162417283
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/672#issuecomment-162417283 | https://api.github.com/repos/pydata/xarray/issues/672 | 162417283 | MDEyOklzc3VlQ29tbWVudDE2MjQxNzI4Mw== | 7300413 | 2015-12-07T05:46:15Z | 2015-12-07T05:46:15Z | NONE | I was trying to read ERA-Interim data, calculate anomalies using ds = ds - ds.mean(dim='longitude'), and similar operations along the time axis. Are such operations restricted to single cores? Just multiplying two datasets (u*v) seems to be faster, though top shows two cores being used (I have 4 physical cores). TIA, Joy |
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