issue_comments

Table actions

2 rows where issue = 834273555 and user = 9399446 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

  • Jeitan · 2 ✖

issue 1

  • Ability to rename items inside a coordinate, matching pandas rename() functionality · 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
804297243 https://github.com/pydata/xarray/issues/5048#issuecomment-804297243 https://api.github.com/repos/pydata/xarray/issues/5048 MDEyOklzc3VlQ29tbWVudDgwNDI5NzI0Mw== Jeitan 9399446 2021-03-22T18:32:55Z 2021-03-22T18:32:55Z NONE

@andersy005 's method definitely works, and I can iterate to do it for multiple names, so I've already gone away happy. A dedicated method would be nice though :).

"rename" is understandably overloaded ... would something like "update_coords" be workable? It sort of matches the existing "assign_coords".

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   Ability to rename items inside a coordinate, matching pandas rename() functionality 834273555
801530191 https://github.com/pydata/xarray/issues/5048#issuecomment-801530191 https://api.github.com/repos/pydata/xarray/issues/5048 MDEyOklzc3VlQ29tbWVudDgwMTUzMDE5MQ== Jeitan 9399446 2021-03-18T00:35:13Z 2021-03-18T00:50:12Z NONE

I have not ... that does work! Do you have a nice way to do that for a whole set? I only used one here, but I'm typically renaming something like 5-8 at a time, so "rdict" would be much bigger.

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   Ability to rename items inside a coordinate, matching pandas rename() functionality 834273555

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]);