issue_comments

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1 row where author_association = "MEMBER", issue = 595784008 and user = 2448579 sorted by updated_at descending

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user 1

  • dcherian · 1 ✖

issue 1

  • Implement `value_counts` method · 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
610426980 https://github.com/pydata/xarray/issues/3945#issuecomment-610426980 https://api.github.com/repos/pydata/xarray/issues/3945 MDEyOklzc3VlQ29tbWVudDYxMDQyNjk4MA== dcherian 2448579 2020-04-07T14:41:08Z 2020-04-07T14:41:08Z MEMBER

xhistogram probably does what you want: https://github.com/xgcm/xhistogram

 
{
    "total_count": 1,
    "+1": 1,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   Implement `value_counts` method 595784008

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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]);