home / github

Menu
  • Search all tables
  • GraphQL API

issue_comments

Table actions
  • GraphQL API for issue_comments

1 row where issue = 424538928 and user = 6628425 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

  • spencerkclark · 1 ✖

issue 1

  • Cannot store data after group_by · 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
475918645 https://github.com/pydata/xarray/issues/2847#issuecomment-475918645 https://api.github.com/repos/pydata/xarray/issues/2847 MDEyOklzc3VlQ29tbWVudDQ3NTkxODY0NQ== spencerkclark 6628425 2019-03-24T01:09:25Z 2019-03-24T01:09:25Z MEMBER

Thanks for the issue. I think the main problem is that we currently do not have a way of saving an IntervalIndex, which groupby_bins produces, to a netCDF file: In [7]: out.indexes['data_bins'] Out[7]: IntervalIndex([(0, 2], (2, 4], (4, 6], (6, 8]], closed='right', dtype='interval[int64]') One way to work around this in the meantime is to redefine the bins coordinate before saving things to a file. See @jhamman's answer to a related StackOverflow question for an example.

{
    "total_count": 1,
    "+1": 1,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
  Cannot store data after group_by 424538928

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 75.67ms · About: xarray-datasette