issues
3 rows where "created_at" is on date 2023-12-10, repo = 13221727 and user = 14371165 sorted by updated_at descending
This data as json, CSV (advanced)
Suggested facets: draft, created_at (date), updated_at (date), closed_at (date)
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2034500760 | PR_kwDOAMm_X85hnplA | 8536 | Speed up localize | Illviljan 14371165 | open | 0 | 2 | 2023-12-10T19:24:40Z | 2024-05-04T20:20:01Z | MEMBER | 1 | pydata/xarray/pulls/8536 |
|
{ "url": "https://api.github.com/repos/pydata/xarray/issues/8536/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
xarray 13221727 | pull | ||||||
2034462507 | PR_kwDOAMm_X85hniLB | 8535 | Filter null values before plotting | Illviljan 14371165 | closed | 0 | 3 | 2023-12-10T17:31:27Z | 2023-12-13T15:44:55Z | 2023-12-13T15:44:55Z | MEMBER | 0 | pydata/xarray/pulls/8535 | I noticed that seaborn's plot was responding much faster than xarray's version with the same data. Turn's out seaborn drops any nulls: https://github.com/mwaskom/seaborn/blob/056413d7393e3daec597d430c076e45938d53376/seaborn/relational.py#L399
|
{ "url": "https://api.github.com/repos/pydata/xarray/issues/8535/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
xarray 13221727 | pull | |||||
2034545604 | PR_kwDOAMm_X85hnyZ9 | 8538 | Check that compat is equal to identical only once in dataset concat | Illviljan 14371165 | closed | 0 | 1 | 2023-12-10T21:42:20Z | 2023-12-13T09:27:11Z | 2023-12-13T09:27:11Z | MEMBER | 0 | pydata/xarray/pulls/8538 | Small change to avoid triggering several if-checks unnecessarily. |
{ "url": "https://api.github.com/repos/pydata/xarray/issues/8538/reactions", "total_count": 1, "+1": 1, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
xarray 13221727 | pull |
Advanced export
JSON shape: default, array, newline-delimited, object
CREATE TABLE [issues] ( [id] INTEGER PRIMARY KEY, [node_id] TEXT, [number] INTEGER, [title] TEXT, [user] INTEGER REFERENCES [users]([id]), [state] TEXT, [locked] INTEGER, [assignee] INTEGER REFERENCES [users]([id]), [milestone] INTEGER REFERENCES [milestones]([id]), [comments] INTEGER, [created_at] TEXT, [updated_at] TEXT, [closed_at] TEXT, [author_association] TEXT, [active_lock_reason] TEXT, [draft] INTEGER, [pull_request] TEXT, [body] TEXT, [reactions] TEXT, [performed_via_github_app] TEXT, [state_reason] TEXT, [repo] INTEGER REFERENCES [repos]([id]), [type] TEXT ); CREATE INDEX [idx_issues_repo] ON [issues] ([repo]); CREATE INDEX [idx_issues_milestone] ON [issues] ([milestone]); CREATE INDEX [idx_issues_assignee] ON [issues] ([assignee]); CREATE INDEX [idx_issues_user] ON [issues] ([user]);