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| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 582989276 | MDExOlB1bGxSZXF1ZXN0NTgyOTg5Mjc2 | 4986 | closed | 0 | Added support for numpy.bool_ | caenrigen 31376402 | <!-- Feel free to remove check-list items aren't relevant to your change --> Hi folks! Thank you for the awesome project! Xarray rocks! We have adopted xarray fully in a new project and would appreciate a review on this PR asap. - [X] Closes #4981 - [X] Tests added - [X] Passes `pre-commit run --all-files` | 2021-03-02T12:22:17Z | 2021-06-30T17:49:25Z | 2021-03-12T14:19:15Z | 2021-03-12T14:19:14Z | 213e35299d42043dd498691d6e7cc96f1c5fc81d | 0 | 149c3b8a6b3a79ae11d5994a1c45d7a1b61e9db4 | 7905c514a12fcbcaaeb634cab94733c7cbdd6ff2 | CONTRIBUTOR | xarray 13221727 | https://github.com/pydata/xarray/pull/4986 | ||||
| 754281312 | PR_kwDOAMm_X84s9Wtg | 5847 | closed | 0 | Display coords' units for slice plots | caenrigen 31376402 | <!-- Feel free to remove check-list items aren't relevant to your change --> Hi, folks! Thank you for the awesome project! Here is a minor enhancement for the plotting of slices. Before this PR: ```python import xarray as xr import numpy as np dset = xr.Dataset( data_vars=dict( var_a=(("a", "b"), np.array([[1,2], [3,4]])) ), coords=dict( a=("a", np.array([5, 6]), {"unit": "s"}), b=("b", np.array([7, 8]), {"unit": "s"}) ) ) _ = dset.var_a.sel(a=5).plot(marker="o") ```  After this PR (note the title):  --- I did not add any tests, since this change did not break anything I am guessing it is not something being tested. - [ ] Tests added - [x] Passes `pre-commit run --all-files` - [x] User visible changes (including notable bug fixes) are documented in `whats-new.rst` | 2021-10-08T19:18:38Z | 2021-10-30T14:06:41Z | 2021-10-30T14:06:41Z | 2021-10-30T14:06:41Z | 3c60814de465fac4e6a0b8e0ca762a26655cc331 | 0 | add9b1aed92b8ed851009b6b0842c0eb3bb98d42 | 867646fa75cb00413f1c21ca152d07a9bc4eb444 | CONTRIBUTOR | xarray 13221727 | https://github.com/pydata/xarray/pull/5847 |
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CREATE TABLE [pull_requests] (
[id] INTEGER PRIMARY KEY,
[node_id] TEXT,
[number] INTEGER,
[state] TEXT,
[locked] INTEGER,
[title] TEXT,
[user] INTEGER REFERENCES [users]([id]),
[body] TEXT,
[created_at] TEXT,
[updated_at] TEXT,
[closed_at] TEXT,
[merged_at] TEXT,
[merge_commit_sha] TEXT,
[assignee] INTEGER REFERENCES [users]([id]),
[milestone] INTEGER REFERENCES [milestones]([id]),
[draft] INTEGER,
[head] TEXT,
[base] TEXT,
[author_association] TEXT,
[auto_merge] TEXT,
[repo] INTEGER REFERENCES [repos]([id]),
[url] TEXT,
[merged_by] INTEGER REFERENCES [users]([id])
);
CREATE INDEX [idx_pull_requests_merged_by]
ON [pull_requests] ([merged_by]);
CREATE INDEX [idx_pull_requests_repo]
ON [pull_requests] ([repo]);
CREATE INDEX [idx_pull_requests_milestone]
ON [pull_requests] ([milestone]);
CREATE INDEX [idx_pull_requests_assignee]
ON [pull_requests] ([assignee]);
CREATE INDEX [idx_pull_requests_user]
ON [pull_requests] ([user]);