issue_comments

Table actions

2 rows where issue = 134376872 and user = 5635139 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

  • max-sixty · 2 ✖

issue 1

  • save/load DataArray to numpy npz functions · 2 ✖

author_association 1

id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
187576763 https://github.com/pydata/xarray/issues/768#issuecomment-187576763 https://api.github.com/repos/pydata/xarray/issues/768 MDEyOklzc3VlQ29tbWVudDE4NzU3Njc2Mw== max-sixty 5635139 2016-02-23T07:06:58Z 2016-02-23T07:06:58Z MEMBER

@jhamman nice!

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   save/load DataArray to numpy npz functions 134376872
187397477 https://github.com/pydata/xarray/issues/768#issuecomment-187397477 https://api.github.com/repos/pydata/xarray/issues/768 MDEyOklzc3VlQ29tbWVudDE4NzM5NzQ3Nw== max-sixty 5635139 2016-02-22T21:37:53Z 2016-02-22T21:37:53Z MEMBER

I'd vote for something format-specific, such as xr.from_netcdf unless open / open_dataset supports other formats...

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   save/load DataArray to numpy npz functions 134376872

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]);