issue_comments

Table actions

1 row where author_association = "NONE" and issue = 454677926 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

issue 1

  • Assigning values to a subset of a dataset · 1 ✖

author_association 1

  • NONE · 1 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
501202662 https://github.com/pydata/xarray/issues/3015#issuecomment-501202662 https://api.github.com/repos/pydata/xarray/issues/3015 MDEyOklzc3VlQ29tbWVudDUwMTIwMjY2Mg== AdrianSosic 23265127 2019-06-12T09:52:16Z 2019-06-12T09:52:16Z NONE

Thanks for the quick reply! I really like the xarray package and hope that someone will add this functionality in the future since it would significantly improve the usability in certain situations. I am unfortunately not yet experienced enough with the package to take care of it myself - perhaps at a later point in time... For the time being, I will therefore stick with the above solutions ;)

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   Assigning values to a subset of a dataset 454677926

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]);