issue_comments

Table actions

2 rows where author_association = "NONE", issue = 310547057 and user = 7747527 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

  • fischcheng · 2 ✖

issue 1

  • simple command line interface for xarray · 2 ✖

author_association 1

  • NONE · 2 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
378128255 https://github.com/pydata/xarray/issues/2034#issuecomment-378128255 https://api.github.com/repos/pydata/xarray/issues/2034 MDEyOklzc3VlQ29tbWVudDM3ODEyODI1NQ== fischcheng 7747527 2018-04-03T04:56:26Z 2018-04-03T04:56:26Z NONE

@rabernat I like your vision. Ncview is so simple yet powerful that I totally neglect how terrible it looks. Also the examples provided @JiaweiZhuang seem perfect for such task. All parts are there, just waiting for someone to put them together! 

{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   simple command line interface for xarray 310547057
378021302 https://github.com/pydata/xarray/issues/2034#issuecomment-378021302 https://api.github.com/repos/pydata/xarray/issues/2034 MDEyOklzc3VlQ29tbWVudDM3ODAyMTMwMg== fischcheng 7747527 2018-04-02T19:38:09Z 2018-04-02T19:38:09Z NONE

From my experience, there are plenty of existing tools can do the data explore/quick-view thing, including the basic ncview, ncdump, cdo or panoply. Some of them support OpenDAP. I'm not sure if Xarray needs to have such feature. 

{
    "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]);