issue_comments: 364491330
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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/1854#issuecomment-364491330 | https://api.github.com/repos/pydata/xarray/issues/1854 | 364491330 | MDEyOklzc3VlQ29tbWVudDM2NDQ5MTMzMA== | 2443309 | 2018-02-09T16:53:57Z | 2018-02-09T16:53:57Z | MEMBER | @jamesstidard - let's see how the distributed scheduler plays: ```Python from distributed import Client client = Client() ds = xr.open_mfdataset('path/to/ncs/*.nc', chunks={'latitude': 50, 'longitude': 50}) recs = ds.sel(latitude=10, longitude=10).to_dataframe().to_records() ``` Also, it would be worth updating distributed before you use its scheduler. |
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