issue_comments

Table actions

3 rows where author_association = "CONTRIBUTOR", issue = 347962055 and user = 90008 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

  • hmaarrfk · 3 ✖

issue 1

  • Serialization of just coordinates · 3 ✖

author_association 1

  • CONTRIBUTOR · 3 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
1008227895 https://github.com/pydata/xarray/issues/2347#issuecomment-1008227895 https://api.github.com/repos/pydata/xarray/issues/2347 IC_kwDOAMm_X848GFY3 hmaarrfk 90008 2022-01-09T04:28:49Z 2022-01-09T04:28:49Z CONTRIBUTOR

This is likely true. Thanks for looking back into this.

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   Serialization of just coordinates 347962055
451767431 https://github.com/pydata/xarray/issues/2347#issuecomment-451767431 https://api.github.com/repos/pydata/xarray/issues/2347 MDEyOklzc3VlQ29tbWVudDQ1MTc2NzQzMQ== hmaarrfk 90008 2019-01-06T19:25:53Z 2019-01-06T19:25:53Z CONTRIBUTOR

mind blown!!!! thanks for that pointer I haven't touched my serialization code in a while, kinda scared to go back to it now, but I will keep that library in mind.

I saw Zarr a while back, looks cool. I hope to see it grow.

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   Serialization of just coordinates 347962055
451765999 https://github.com/pydata/xarray/issues/2347#issuecomment-451765999 https://api.github.com/repos/pydata/xarray/issues/2347 MDEyOklzc3VlQ29tbWVudDQ1MTc2NTk5OQ== hmaarrfk 90008 2019-01-06T19:06:53Z 2019-01-06T19:06:53Z CONTRIBUTOR

no need to be sorry. These two functions were easy enough for me to do myself in my own codebase.

There are few issues that I've found doing this though. Mainly, I can't find a good way to serialize numpy arrays in a round-trippable fashion. It is difficult to get back lists of arrays, or arrays of unit8. I don't know if you have a good way to solvle this problem. 

{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   Serialization of just coordinates 347962055

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]);