issue_comments

Table actions

1 row where issue = 310547057 and user = 10050469 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

  • fmaussion · 1 ✖

issue 1

  • simple command line interface for xarray · 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
378192358 https://github.com/pydata/xarray/issues/2034#issuecomment-378192358 https://api.github.com/repos/pydata/xarray/issues/2034 MDEyOklzc3VlQ29tbWVudDM3ODE5MjM1OA== fmaussion 10050469 2018-04-03T09:44:56Z 2018-04-03T09:44:56Z MEMBER

Note that a useful xarray-cli doesn't have to do visualization only. An xarray-based replacement for cdo (for example) could have some great advantages: - out-of-core computations - much more flexible (I was using cdo the other day to merge files together and was horrified to see that cdo requires the variables in the two files to have the same order)

I'm nut sure how many people will use a cli instead of good-old-python scripts though....

 
{
    "total_count": 1,
    "+1": 1,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   simple command line interface for xarray 310547057

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]);