issue_comments

Table actions

1 row where issue = 710357592 and user = 4160723 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

  • benbovy · 1 ✖

issue 1

  • xarray / vtk integration · 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
719464990 https://github.com/pydata/xarray/issues/4470#issuecomment-719464990 https://api.github.com/repos/pydata/xarray/issues/4470 MDEyOklzc3VlQ29tbWVudDcxOTQ2NDk5MA== benbovy 4160723 2020-10-30T10:13:35Z 2020-10-30T10:13:35Z MEMBER

if downstream packages or accessor implementers know how to do something useful with these extra coordinates, they are free to do so! The data are there...xarray just doesn't currently make much use of them.

FWIW, we are working on the https://github.com/ESM-VFC/xoak package to easily index and select unstructured data in xarray datasets. This works well with multi-dimensional coordinates and xarray's advanced indexing features. Support for custom indexes and chunked (dask) coordinates is coming up too!

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   xarray / vtk integration 710357592

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]);