home / github

Menu
  • GraphQL API
  • Search all tables

issue_comments

Table actions
  • GraphQL API for issue_comments

1 row where author_association = "NONE" and issue = 1427457128 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

  • ljstrnadiii 1

issue 1

  • Inspecting arguments with accessors · 1 ✖

author_association 1

  • NONE · 1 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
1297218347 https://github.com/pydata/xarray/issues/7234#issuecomment-1297218347 https://api.github.com/repos/pydata/xarray/issues/7234 IC_kwDOAMm_X85NUfsr ljstrnadiii 3171991 2022-10-31T15:00:06Z 2022-10-31T15:09:42Z NONE

Yeah, I was afraid of that lol. This must also be a pandas issue, too, since they recommend a similar way of extending pandas dataframes. I couldn't find a similar pandas issue/pr and was a bit surprised by that.

My temp solution is to use type narrowing:

def use_domain_specific_dataset(dset: xr.Dataset): if not isinstance(dset.ma, MyAccessor): raise something # gets some type checking dset.ma.my_special_func() Seems to at least provide the basic sanity checks

{
    "total_count": 1,
    "+1": 1,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
  Inspecting arguments with accessors 1427457128

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]);
Powered by Datasette · Queries took 562.237ms · About: xarray-datasette