issue_comments

Table actions

1 row where author_association = "MEMBER", issue = 675342733 and user = 1217238 sorted by updated_at descending

✎ View and edit SQL

This data as json, CSV (advanced)

Suggested facets: created_at (date)

user 1

  • shoyer · 1 ✖

issue 1

  • constructing nested inline reprs · 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
677882351 https://github.com/pydata/xarray/issues/4324#issuecomment-677882351 https://api.github.com/repos/pydata/xarray/issues/4324 MDEyOklzc3VlQ29tbWVudDY3Nzg4MjM1MQ== shoyer 1217238 2020-08-20T20:18:49Z 2020-08-20T20:18:49Z MEMBER

I brought this up at the meeting, and if I remember correctly, the recommendation was to take a step back and solve nested duck arrays in general (e.g. by writing a design doc – a NEP?). Correct me if I'm wrong, @shoyer, but I think the hope was that after that it would be easier to design nested reprs.

I don't think that necessarily needs to be blocker for this particular effort, but I do think this is an area where summarizing high level ideas into a "design document" that clearly articulates the use-cases and suggested solutions could be a good idea.

I don't know if this NEP necessarily needs to live in NumPy, but I do think the NEP template is a nice starting point for what should be covered in such a porposal: https://numpy.org/neps/nep-template.html

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   constructing nested inline reprs 675342733

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]);