pull_requests: 39042887
This data as json
| id | node_id | number | state | locked | title | user | body | created_at | updated_at | closed_at | merged_at | merge_commit_sha | assignee | milestone | draft | head | base | author_association | auto_merge | repo | url | merged_by |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 39042887 | MDExOlB1bGxSZXF1ZXN0MzkwNDI4ODc= | 450 | closed | 0 | Add xray.save_mfdataset | 1217238 | This function allows for saving multiple datasets to disk simultaneously, which is useful when processing large datasets with dask.array. For example, to save a dataset too big to fit into memory to one file per year, we could write: ``` >>> years, datasets = zip(*ds.groupby('time.year')) >>> paths = ['%s.nc' % y for y in years] >>> xray.save_mfdataset(datasets, paths) ``` | 2015-07-02T02:19:41Z | 2015-07-06T18:41:27Z | 2015-07-06T18:41:25Z | 2015-07-06T18:41:25Z | 2fe280c4214f5b93e233c2e6b0230e243cd02835 | 1172685 | 0 | 699ca84cdf0ebbc774b4f129994bea3684f0902d | 613b285ea72023d8c2ce950ac4020f30e17b692b | MEMBER | 13221727 | https://github.com/pydata/xarray/pull/450 |
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