issue_comments

Table actions

1 row where author_association = "NONE", issue = 1368696980 and user = 12818667 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

  • JamiePringle · 1 ✖

issue 1

  • Writing netcdf after running xarray.dataset.reindex to fill gaps in a time series fails due to memory allocation error · 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
1245425482 https://github.com/pydata/xarray/issues/7018#issuecomment-1245425482 https://api.github.com/repos/pydata/xarray/issues/7018 IC_kwDOAMm_X85KO69K JamiePringle 12818667 2022-09-13T13:36:40Z 2022-09-13T13:36:40Z NONE

I think #7028 might help you -- I was running into a similar problem. In short, try keeping your time variables as float64 instead of as date time (or converting before you try to save). 

{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   Writing netcdf after running xarray.dataset.reindex to fill gaps in a time series fails due to memory allocation error 1368696980

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]);