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8 rows where milestone = 1172685, state = "closed" and type = "pull" sorted by updated_at descending
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id | node_id | number | title | user | state | locked | assignee | milestone | comments | created_at | updated_at ▲ | closed_at | author_association | active_lock_reason | draft | pull_request | body | reactions | performed_via_github_app | state_reason | repo | type |
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95532383 | MDExOlB1bGxSZXF1ZXN0NDAxNzcyNjQ= | 478 | Xray v0.5.2 updates | shoyer 1217238 | closed | 0 | 0.5.2 1172685 | 0 | 2015-07-16T21:19:14Z | 2015-07-16T21:40:23Z | 2015-07-16T21:40:22Z | MEMBER | 0 | pydata/xarray/pulls/478 | Fixes #444 |
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xarray 13221727 | pull | ||||
95306928 | MDExOlB1bGxSZXF1ZXN0NDAwNzgzNjQ= | 477 | Bytes attributes are decoded to strings with engine='h5netcdf' | shoyer 1217238 | closed | 0 | 0.5.2 1172685 | 0 | 2015-07-15T22:49:03Z | 2015-07-16T18:11:42Z | 2015-07-16T18:11:42Z | MEMBER | 0 | pydata/xarray/pulls/477 | Fixes #451 |
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xarray 13221727 | pull | ||||
95089244 | MDExOlB1bGxSZXF1ZXN0Mzk5ODMwNzY= | 473 | Rewrite of xray.concat | shoyer 1217238 | closed | 0 | 0.5.2 1172685 | 0 | 2015-07-15T02:33:40Z | 2015-07-15T21:47:14Z | 2015-07-15T21:47:11Z | MEMBER | 0 | pydata/xarray/pulls/473 | Fixes #464 Fixes #438 The optional arguments |
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xarray 13221727 | pull | ||||
95011790 | MDExOlB1bGxSZXF1ZXN0Mzk5NDg2MzA= | 472 | Add support for reading/writing complex numbers with h5netcdf | shoyer 1217238 | closed | 0 | 0.5.2 1172685 | 0 | 2015-07-14T18:48:03Z | 2015-07-14T20:24:06Z | 2015-07-14T20:24:04Z | MEMBER | 0 | pydata/xarray/pulls/472 | { "url": "https://api.github.com/repos/pydata/xarray/issues/472/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
xarray 13221727 | pull | |||||
92528846 | MDExOlB1bGxSZXF1ZXN0MzkwNDI4ODc= | 450 | Add xray.save_mfdataset | shoyer 1217238 | closed | 0 | 0.5.2 1172685 | 0 | 2015-07-02T02:19:41Z | 2015-07-06T18:41:27Z | 2015-07-06T18:41:25Z | MEMBER | 0 | pydata/xarray/pulls/450 | 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: ```
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xarray 13221727 | pull | ||||
93151446 | MDExOlB1bGxSZXF1ZXN0MzkyMjc5MDg= | 454 | Fixed bug in serializing datetime scalars | shoyer 1217238 | closed | 0 | 0.5.2 1172685 | 0 | 2015-07-05T22:18:07Z | 2015-07-06T04:56:53Z | 2015-07-06T04:56:52Z | MEMBER | 0 | pydata/xarray/pulls/454 | { "url": "https://api.github.com/repos/pydata/xarray/issues/454/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
xarray 13221727 | pull | |||||
93151483 | MDExOlB1bGxSZXF1ZXN0MzkyMjc5MTI= | 455 | Fix min/max for arrays with string or unicode types | shoyer 1217238 | closed | 0 | 0.5.2 1172685 | 0 | 2015-07-05T22:18:31Z | 2015-07-06T04:56:22Z | 2015-07-06T04:56:20Z | MEMBER | 0 | pydata/xarray/pulls/455 | Fixes #453 |
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xarray 13221727 | pull | ||||
91547750 | MDExOlB1bGxSZXF1ZXN0Mzg3MTk1MTI= | 446 | Preprocess argument for open_mfdataset and threading lock | shoyer 1217238 | closed | 0 | 0.5.2 1172685 | 4 | 2015-06-28T03:33:19Z | 2015-07-02T17:16:41Z | 2015-06-29T18:06:54Z | MEMBER | 0 | pydata/xarray/pulls/446 | Fixes #443 Fixes #444 |
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xarray 13221727 | pull |
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