issue_comments

Table actions

1 row where issue = 396285440 and user = 221526 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

  • dopplershift · 1 ✖

issue 1

  • dataset info in .json format · 1 ✖

author_association 1

id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
454179986 https://github.com/pydata/xarray/issues/2656#issuecomment-454179986 https://api.github.com/repos/pydata/xarray/issues/2656 MDEyOklzc3VlQ29tbWVudDQ1NDE3OTk4Ng== dopplershift 221526 2019-01-14T22:07:19Z 2019-01-14T22:07:19Z CONTRIBUTOR

I'm not aware of any standard out there for JSON representation of netCDF, but I know it's been at least (briefly) discussed. @WardF, anything out there you're aware of?

Another spelling of this could be ds.to_dict(header_only=True), which I only suggest to mirror ncdump -h.

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   dataset info in .json format 396285440

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]);