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2 rows where state = "closed", type = "pull" and user = 703554 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 819911891 | MDExOlB1bGxSZXF1ZXN0NTgyOTQyMjMy | 4984 | Adds Dataset.query() method, analogous to pandas DataFrame.query() | alimanfoo 703554 | closed | 0 | 11 | 2021-03-02T11:08:42Z | 2021-03-16T18:28:09Z | 2021-03-16T17:28:15Z | CONTRIBUTOR | 0 | pydata/xarray/pulls/4984 | This PR adds a
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xarray 13221727 | pull | |||||
| 33396232 | MDExOlB1bGxSZXF1ZXN0MTU4MjA2NTI= | 127 | initial implementation of support for NetCDF groups | alimanfoo 703554 | closed | 0 | 0.1.1 664063 | 6 | 2014-05-13T13:12:53Z | 2014-06-27T17:23:33Z | 2014-05-16T01:46:09Z | CONTRIBUTOR | 0 | pydata/xarray/pulls/127 | Just to start getting familiar with xray, I've had a go at implementing support for opening a dataset from a specific group within a NetCDF file. I haven't tested on real data but there are a couple of unit tests covering simple cases. Let me know if you'd like to take this forward, happy to work on it further. |
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xarray 13221727 | pull |
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