issue_comments

Table actions

1 row where author_association = "MEMBER" and issue = 303809308 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

issue 1

  • Netcdf char array not being decoded to string in compound dtype · 1 ✖

author_association 1

  • MEMBER · 1 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
371988723 https://github.com/pydata/xarray/issues/1977#issuecomment-371988723 https://api.github.com/repos/pydata/xarray/issues/1977 MDEyOklzc3VlQ29tbWVudDM3MTk4ODcyMw== shoyer 1217238 2018-03-10T01:09:27Z 2018-03-10T01:09:27Z MEMBER

We currently don't have any special code for handling of compound data types in xarray, but I'm open to adding that if necessary. Note that you currently cannot write compound dtypes to netCDF files.

I think netCDF4-python is doing something sub-optimal here, but I'll comment in the other issue tracker.

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   Netcdf char array not being decoded to string in compound dtype 303809308

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]);