issue_comments

Table actions

1 row where author_association = "MEMBER", issue = 884649380 and user = 14808389 sorted by updated_at descending

✎ View and edit SQL

This data as json, CSV (advanced)

Suggested facets: created_at (date), updated_at (date)

user 1

  • keewis · 1 ✖

issue 1

  • Support for pandas Extension Arrays · 1 ✖

author_association 1

  • MEMBER · 1 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
837039218 https://github.com/pydata/xarray/issues/5287#issuecomment-837039218 https://api.github.com/repos/pydata/xarray/issues/5287 MDEyOklzc3VlQ29tbWVudDgzNzAzOTIxOA== keewis 14808389 2021-05-10T17:48:51Z 2021-05-10T17:49:11Z MEMBER

I think I remember reading somewhere that we want to keep being compatible with numpy, which means that we're waiting for NEP40-43 to be included in a release. As far as I can tell that might still take a while, though, the implementation is not quite there yet.

Edit: in any case, I think something like that would be really useful

 
{
    "total_count": 1,
    "+1": 1,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   Support for pandas Extension Arrays 884649380

Advanced export

JSON shape: default, array, newline-delimited, object

CSV options: 

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]);