home / github

Menu
  • Search all tables
  • GraphQL API

issue_comments

Table actions
  • GraphQL API for issue_comments

1 row where issue = 112928260 and user = 296686 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

  • robintw · 1 ✖

issue 1

  • size and aspect arguments for plotting methods even without faceting · 1 ✖

author_association 1

  • CONTRIBUTOR 1
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
232153175 https://github.com/pydata/xarray/pull/637#issuecomment-232153175 https://api.github.com/repos/pydata/xarray/issues/637 MDEyOklzc3VlQ29tbWVudDIzMjE1MzE3NQ== robintw 296686 2016-07-12T19:28:10Z 2016-07-12T19:28:10Z CONTRIBUTOR

Coming here from #897, it seems that we just need to decide to go with matplotlib's version, and therefore switch round the tuple given as figsize at https://github.com/pydata/xarray/pull/637/commits/400b1ef1d142c3c0dec1ff3c9f3cdfffa2229c10#diff-4ee153eb90c5207a5ed2e2b997bf6ce9R212, and then update the docs to go with it.

Does that make sense?

{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
  size and aspect arguments for plotting methods even without faceting 112928260

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 17.938ms · About: xarray-datasette