issue_comments
1 row where issue = 1180565228 and user = 43635101 sorted by updated_at descending
This data as json, CSV (advanced)
Suggested facets: created_at (date), updated_at (date)
issue 1
- numpy datetime conversion with DataArray is not working · 1 ✖
id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
---|---|---|---|---|---|---|---|---|---|---|---|
1081859463 | https://github.com/pydata/xarray/issues/6412#issuecomment-1081859463 | https://api.github.com/repos/pydata/xarray/issues/6412 | IC_kwDOAMm_X85Ae92H | jules-ch 43635101 | 2022-03-29T13:16:43Z | 2022-03-29T13:18:37Z | NONE | I'm using xarray on a Dataset & it's convenient for me to make calculation using DataArray. Here when I want to retrieve the year of datetime, instead of casting back to an array of object & using datetime.year, it's handy to use built-in numpy datetime64 conversion. It's really confusing astype is not working like numpy does. If you want to keep this behavious maybe add a warning in the docs and log a warning aswell. |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
numpy datetime conversion with DataArray is not working 1180565228 |
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