issue_comments: 449146417
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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/2624#issuecomment-449146417 | https://api.github.com/repos/pydata/xarray/issues/2624 | 449146417 | MDEyOklzc3VlQ29tbWVudDQ0OTE0NjQxNw== | 1961038 | 2018-12-20T21:49:15Z | 2018-12-20T21:59:33Z | NONE | @rabernat Yeah I think the chunksize in the time dimension is too large: ```` <xarray.Dataset> Dimensions: (lat: 361, lev: 32, lon: 720, time: 2920) Coordinates: * lat (lat) float32 -90.0 -89.5 -89.0 -88.5 -88.0 ... 88.5 89.0 89.5 90.0 * lon (lon) float32 -180.0 -179.5 -179.0 -178.5 ... 178.5 179.0 179.5 * lev (lev) float32 1000.0 975.0 950.0 925.0 ... 50.0 30.0 20.0 10.0 * time (time) datetime64[ns] 2013-01-01 ... 2014-12-31T18:00:00 Data variables: g (time, lev, lat, lon) float32 dask.array<shape=(2920, 32, 361, 720), chunksize=(1460, 32, 361, 720)> ``` |
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