issue_comments
1 row where issue = 237008177 and user = 371039 sorted by updated_at descending
This data as json, CSV (advanced)
Suggested facets: created_at (date), updated_at (date)
issue 1
- groupby should still squeeze for non-monotonic inputs · 1 ✖
id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
---|---|---|---|---|---|---|---|---|---|---|---|
1059506992 | https://github.com/pydata/xarray/issues/1460#issuecomment-1059506992 | https://api.github.com/repos/pydata/xarray/issues/1460 | IC_kwDOAMm_X84_Jssw | relativistic 371039 | 2022-03-04T20:30:22Z | 2022-03-04T20:30:22Z | NONE | Just wanted to mention I just got tripped up by this. It took me a long time to figure out why my code wasn't working like the groupby example. It took a lot of trial and error to figure out the problem was one of my dims wasn't sorted. It was a categorical string-based dim that you wouldn't think to sort. I personally find squeeze a convenient option when applying map. FWIW, it would break some of my code if the default behavior were to change (I'm using map to apply some mathematical code that expects 2d matrix input. The DataArray is 3D, where the third dimension is a label for each 2d matrix). Easy to adapt the code, but I wanted to point out a case where squeeze is what you want. |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
groupby should still squeeze for non-monotonic inputs 237008177 |
Advanced export
JSON shape: default, array, newline-delimited, object
CREATE TABLE [issue_comments] ( [html_url] TEXT, [issue_url] TEXT, [id] INTEGER PRIMARY KEY, [node_id] TEXT, [user] INTEGER REFERENCES [users]([id]), [created_at] TEXT, [updated_at] TEXT, [author_association] TEXT, [body] TEXT, [reactions] TEXT, [performed_via_github_app] TEXT, [issue] INTEGER REFERENCES [issues]([id]) ); CREATE INDEX [idx_issue_comments_issue] ON [issue_comments] ([issue]); CREATE INDEX [idx_issue_comments_user] ON [issue_comments] ([user]);
user 1