issue_comments

Table actions

3 rows where author_association = "CONTRIBUTOR" and issue = 200125945 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

  • Document the new __repr__ · 3 ✖

author_association 1

  • CONTRIBUTOR · 3 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
275650861 https://github.com/pydata/xarray/issues/1199#issuecomment-275650861 https://api.github.com/repos/pydata/xarray/issues/1199 MDEyOklzc3VlQ29tbWVudDI3NTY1MDg2MQ== gerritholl 500246 2017-01-27T12:02:46Z 2017-01-27T12:02:46Z CONTRIBUTOR

Perhaps more broadly documentation-wise, it might be good to add a terminology list. For example, that could clarify the difference and relation between dimensions, labels, indices, coordinates, etc.. There are dimensions without coordinates, dimensions that are labelled or unlabelled, there are coordinates that are indices, coordinates that are not indices. I'm still figuring out how all of those relate to each other and how I use them.

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   Document the new __repr__ 200125945
275518064 https://github.com/pydata/xarray/issues/1199#issuecomment-275518064 https://api.github.com/repos/pydata/xarray/issues/1199 MDEyOklzc3VlQ29tbWVudDI3NTUxODA2NA== gerritholl 500246 2017-01-26T21:23:32Z 2017-01-26T21:23:32Z CONTRIBUTOR

With any kind of marking (such as with *) the problem is that the user might not know what the marking is for, and syntax is hard to google. When I see *x without whitespace I think of iterable unpacking...

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   Document the new __repr__ 200125945
275475809 https://github.com/pydata/xarray/issues/1199#issuecomment-275475809 https://api.github.com/repos/pydata/xarray/issues/1199 MDEyOklzc3VlQ29tbWVudDI3NTQ3NTgwOQ== gerritholl 500246 2017-01-26T18:49:41Z 2017-01-26T18:49:41Z CONTRIBUTOR

I think "Dimensions without coordinates" is clearer than "Unindexed dimensions", and only marginally more verbose (30 characters instead of 20). Any dimension can be indexed, just the index lookup is by position rather than by coordinate/label. I don't think marking the dimension/coordinate matches makes it any clearer as this matching is by name anyway, and my confusion was due to none of the dimensions having coordinates. I would support simply changing the label.

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   Document the new __repr__ 200125945

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]);