issue_comments

Table actions

1 row where author_association = "NONE", issue = 269700511 and user = 2656596 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

  • mullenkamp · 1 ✖

issue 1

  • Append along an unlimited dimension to an existing netCDF file · 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
450477528 https://github.com/pydata/xarray/issues/1672#issuecomment-450477528 https://api.github.com/repos/pydata/xarray/issues/1672 MDEyOklzc3VlQ29tbWVudDQ1MDQ3NzUyOA== mullenkamp 2656596 2018-12-29T09:01:45Z 2018-12-29T09:01:45Z NONE

I would love to have this capability. As @shoyer mentioned, for adding time steps of any sort to existing netcdf files would be really beneficial. The only real alternative is to save a netcdf file for each additional time step...even if there are tons of time steps and each file is a couple hundred KBs (which is my situation with NASA data).

I'll look into it if I get some time...

 
{
    "total_count": 1,
    "+1": 1,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   Append along an unlimited dimension to an existing netCDF file 269700511

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]);