issue_comments: 135510417
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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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| https://github.com/pydata/xarray/issues/516#issuecomment-135510417 | https://api.github.com/repos/pydata/xarray/issues/516 | 135510417 | MDEyOklzc3VlQ29tbWVudDEzNTUxMDQxNw== | 3688009 | 2015-08-27T18:11:43Z | 2015-08-27T18:11:43Z | NONE | using Using that, it took even more time: ``` datal = xray.open_mfdataset(filename, chunks={'time':1, 'lat':90, 'lon':180}) In [7]: %time datal.tasmax[:, 360, 720].values CPU times: user 3min 3s, sys: 59.4 s, total: 4min 3s Wall time: 12min 8s ``` I should say that I am using open source data, and therefore do not control how the original data is being chunked. This is also using |
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