issues
2 rows where user = 92899389 sorted by updated_at descending
This data as json, CSV (advanced)
Suggested facets: 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1949782787 | PR_kwDOAMm_X85dJLvY | 8332 | Add invert option to DataArray/Dataset.stack() | carschandler 92899389 | open | 0 | 9 | 2023-10-18T13:38:38Z | 2024-04-29T16:29:40Z | FIRST_TIME_CONTRIBUTOR | 0 | pydata/xarray/pulls/8332 | This brings in the option to stack all dimensions except for one or more dimensions listed. I find this very useful for quickly iterating over all the combinations of dimensions except for one (i.e. you have a number of input parameters that are parameterized and one time dimension, and you want to calculate some time response for all the combinations of these input parameters and store them in the time-row corresponding to the appropriate combination of inputs). I played around with implementing
|
{ "url": "https://api.github.com/repos/pydata/xarray/issues/8332/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
xarray 13221727 | pull | ||||||
1930702782 | I_kwDOAMm_X85zFC-- | 8278 | A way to `stack` all dimensions but one? | carschandler 92899389 | closed | 0 | 3 | 2023-10-06T17:48:18Z | 2023-10-06T20:58:20Z | 2023-10-06T20:58:20Z | NONE | Is your feature request related to a problem?One thing I find useful with Describe the solution you'd likeIt would be awesome if there was a method that could specifically stack all dimensions except for a list of specified dimension names (something like Describe alternatives you've consideredIf there is a better way to achieve what I'm trying to accomplish (take one dimension and iterate over all the combinations of the other dimensions, resulting in 1D vectors that vary along the single desired dimension), then I would welcome any tips! Additional contextNo response |
{ "url": "https://api.github.com/repos/pydata/xarray/issues/8278/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
completed | xarray 13221727 | issue |
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]);