home / github

Menu
  • Search all tables
  • GraphQL API

issue_comments

Table actions
  • GraphQL API for issue_comments

1 row where issue = 182638499 and user = 1924092 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

  • chris-b1 · 1 ✖

issue 1

  • Labeled repr · 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
253624962 https://github.com/pydata/xarray/issues/1044#issuecomment-253624962 https://api.github.com/repos/pydata/xarray/issues/1044 MDEyOklzc3VlQ29tbWVudDI1MzYyNDk2Mg== chris-b1 1924092 2016-10-13T20:11:38Z 2016-10-13T20:11:51Z MEMBER

There could be some display options exposed to manage this - for instance I personally would not like a flat array - but see how it could make sense.

Additionally / alternatively, the repr I'm talking (small slice of values laid out with coordinate labels) could called something other than __repr__ - something like pandas .head() although may be a better name to use here.

{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
  Labeled repr 182638499

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]);
Powered by Datasette · Queries took 3840.181ms · About: xarray-datasette