issue_comments

Table actions

2 rows where issue = 456769766 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 · 2 ✖

issue 1

  • Rename dims independently from coords? · 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
505185755 https://github.com/pydata/xarray/issues/3026#issuecomment-505185755 https://api.github.com/repos/pydata/xarray/issues/3026 MDEyOklzc3VlQ29tbWVudDUwNTE4NTc1NQ== shoyer 1217238 2019-06-24T21:19:42Z 2019-06-24T21:19:42Z MEMBER

I think swap_dims solves many of these use-cases, but it would be better to have a rename_dims method that worked more directly.

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   Rename dims independently from coords? 456769766
502726631 https://github.com/pydata/xarray/issues/3026#issuecomment-502726631 https://api.github.com/repos/pydata/xarray/issues/3026 MDEyOklzc3VlQ29tbWVudDUwMjcyNjYzMQ== shoyer 1217238 2019-06-17T15:16:06Z 2019-06-17T15:16:06Z MEMBER

Yes, this would be really nice. We should have a separate rename_dims() method that only renames dimensions.

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   Rename dims independently from coords? 456769766

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]);