issue_comments

Table actions

2 rows where issue = 270209165 sorted by updated_at descending

✎ View and edit SQL

This data as json, CSV (advanced)

Suggested facets: created_at (date), updated_at (date)

user 2

issue 1

  • Use numpy's normalize_axis_index, if available · 2 ✖

author_association 1

id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
454174226 https://github.com/pydata/xarray/pull/1679#issuecomment-454174226 https://api.github.com/repos/pydata/xarray/issues/1679 MDEyOklzc3VlQ29tbWVudDQ1NDE3NDIyNg== max-sixty 5635139 2019-01-14T21:48:20Z 2019-01-14T21:48:20Z MEMBER

@eric-wieser any interest in moving this to npcompat.py? 

{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   Use numpy's normalize_axis_index, if available 270209165
341240050 https://github.com/pydata/xarray/pull/1679#issuecomment-341240050 https://api.github.com/repos/pydata/xarray/issues/1679 MDEyOklzc3VlQ29tbWVudDM0MTI0MDA1MA== shoyer 1217238 2017-11-01T20:57:00Z 2017-11-01T20:57:00Z MEMBER

Yes, this looks like a good idea. Though I'd prefer if the logic were in core/npcompat.py instead, which is where the rest of our NumPy backports are.

 
{
    "total_count": 1,
    "+1": 1,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   Use numpy's normalize_axis_index, if available 270209165

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]);