issue_comments

Table actions

3 rows where issue = 338226520 and user = 1217238 sorted by updated_at descending

✎ View and edit SQL

This data as json, CSV (advanced)

Suggested facets: reactions, created_at (date), updated_at (date)

user 1

  • shoyer · 3 ✖

issue 1

  • Some simple broadcast_dim method? · 3 ✖

author_association 1

id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
406346802 https://github.com/pydata/xarray/issues/2267#issuecomment-406346802 https://api.github.com/repos/pydata/xarray/issues/2267 MDEyOklzc3VlQ29tbWVudDQwNjM0NjgwMg== shoyer 1217238 2018-07-19T17:02:07Z 2018-07-19T17:02:07Z MEMBER

let's continue the repeated dimension discussion over in https://github.com/pydata/xarray/issues/1378

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   Some simple broadcast_dim method? 338226520
402528430 https://github.com/pydata/xarray/issues/2267#issuecomment-402528430 https://api.github.com/repos/pydata/xarray/issues/2267 MDEyOklzc3VlQ29tbWVudDQwMjUyODQzMA== shoyer 1217238 2018-07-04T17:08:52Z 2018-07-04T17:08:52Z MEMBER

We have xarray.Variable.set_dims, but that's only in the low-level variable API.

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   Some simple broadcast_dim method? 338226520
402527242 https://github.com/pydata/xarray/issues/2267#issuecomment-402527242 https://api.github.com/repos/pydata/xarray/issues/2267 MDEyOklzc3VlQ29tbWVudDQwMjUyNzI0Mg== shoyer 1217238 2018-07-04T17:00:39Z 2018-07-04T17:00:39Z MEMBER

We could add an optional size argument to expand_dims, with a default value of 1.

 
{
    "total_count": 1,
    "+1": 1,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   Some simple broadcast_dim method? 338226520

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]);