issue_comments

Table actions

1 row where issue = 395384938 and user = 1217238 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

  • shoyer · 1 ✖

issue 1

  • DataArray concat with tolerance · 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
451036309 https://github.com/pydata/xarray/issues/2644#issuecomment-451036309 https://api.github.com/repos/pydata/xarray/issues/2644 MDEyOklzc3VlQ29tbWVudDQ1MTAzNjMwOQ== shoyer 1217238 2019-01-03T01:34:29Z 2019-01-03T01:34:29Z MEMBER

This feature would certainly be welcome in some form.

xarray.concat uses xarray.align internally for alignment, which in term relies upon methods like pandas.Index.union to determine result coordinates. So to make this work well, we basically need some form of "approximate unions".

We've been discussing exactly this over in https://github.com/pydata/xarray/issues/2217. I would encourage you to take a look!

 
{
    "total_count": 1,
    "+1": 1,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   DataArray concat with tolerance 395384938

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]);