issue_comments: 94079391
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/392#issuecomment-94079391 | https://api.github.com/repos/pydata/xarray/issues/392 | 94079391 | MDEyOklzc3VlQ29tbWVudDk0MDc5Mzkx | 1217238 | 2015-04-17T21:30:47Z | 2015-04-17T21:30:47Z | MEMBER | Here's the timing info: ``` %time res = ds.t2m.groupby('time.month').mean('time').sum() CPU times: user 133 ms, sys: 6.39 ms, total: 140 msWall time: 145 ms%time res.load_data() CPU times: user 2min 47s, sys: 1min, total: 3min 48sWall time: 1min 19s%time res = ds.t2m.groupby('time.month').apply(lambda x: x - x.mean()).sum() CPU times: user 49.1 s, sys: 6.39 s, total: 55.5 sWall time: 55.1 s%time res.load_data() CPU times: user 6min 17s, sys: 2min 20s, total: 8min 38sWall time: 3min 25s``` Blocks shape is |
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