home / github

Menu
  • Search all tables
  • GraphQL API

issue_comments

Table actions
  • GraphQL API for issue_comments

1 row where author_association = "MEMBER" and issue = 461127850 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

  • shoyer 1

issue 1

  • Pipe Operator? · 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
506217045 https://github.com/pydata/xarray/issues/3050#issuecomment-506217045 https://api.github.com/repos/pydata/xarray/issues/3050 MDEyOklzc3VlQ29tbWVudDUwNjIxNzA0NQ== shoyer 1217238 2019-06-27T06:52:17Z 2019-06-27T06:52:17Z MEMBER

I also use .pipe very heavily in my own code, so I appreciate the motivation here. That said, I've been pretty happy with writing .pipe().

Both >> and | are already operators in xarray/numpy, which complicates using them for another purpose. >> for bitshift may be unusual, but | is definitely widely used for elementwise or.

{
    "total_count": 2,
    "+1": 2,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
  Pipe Operator? 461127850

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 13.017ms · About: xarray-datasette