issue_comments

Table actions

1 row where issue = 446868198 and user = 6588826 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

  • martintb · 1 ✖

issue 1

  • sel(method=x) is not propagated for MultiIndex · 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
696911150 https://github.com/pydata/xarray/issues/2978#issuecomment-696911150 https://api.github.com/repos/pydata/xarray/issues/2978 MDEyOklzc3VlQ29tbWVudDY5NjkxMTE1MA== martintb 6588826 2020-09-22T18:47:39Z 2020-09-22T18:50:13Z NONE

I'm running into this issue too with Python 3.7.6, Pandas 1.0.5, and xArray 0.16.1. While updating the documentation to indicate that nearest selection doesn't work on MultiIndex would be great, is there a path towards implementing this feature? 

{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   sel(method=x) is not propagated for MultiIndex 446868198

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]);