home / github

Menu
  • Search all tables
  • GraphQL API

issue_comments

Table actions
  • GraphQL API for issue_comments

3 rows where issue = 200376941 and user = 10050469 sorted by updated_at descending

✎ View and edit SQL

This data as json, CSV (advanced)

Suggested facets: created_at (date)

user 1

  • fmaussion · 3 ✖

issue 1

  • add info in doc on how to facet with cartopy · 3 ✖

author_association 1

  • MEMBER 3
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
272483186 https://github.com/pydata/xarray/pull/1203#issuecomment-272483186 https://api.github.com/repos/pydata/xarray/issues/1203 MDEyOklzc3VlQ29tbWVudDI3MjQ4MzE4Ng== fmaussion 10050469 2017-01-13T16:36:25Z 2017-01-13T16:36:25Z MEMBER

currently github is completely down btw: https://status.github.com/

{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
  add info in doc on how to facet with cartopy 200376941
272482479 https://github.com/pydata/xarray/pull/1203#issuecomment-272482479 https://api.github.com/repos/pydata/xarray/issues/1203 MDEyOklzc3VlQ29tbWVudDI3MjQ4MjQ3OQ== fmaussion 10050469 2017-01-13T16:32:49Z 2017-01-13T16:32:49Z MEMBER

@shoyer I'll get to this later today. It should be easy to get it right before 0.9.0

{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
  add info in doc on how to facet with cartopy 200376941
272296051 https://github.com/pydata/xarray/pull/1203#issuecomment-272296051 https://api.github.com/repos/pydata/xarray/issues/1203 MDEyOklzc3VlQ29tbWVudDI3MjI5NjA1MQ== fmaussion 10050469 2017-01-12T21:55:04Z 2017-01-12T21:55:04Z MEMBER

Thanks @vnoel !

Unfortunately this won't render well in the docs since we don't import cartopy (yet) (the example above yours isn't really compiling so it's not importing cartopy). I'll merge this tomorrow and have a look at how to render this properly in a separate PR

On a related note, I agree that we should make a plot gallery (https://github.com/pydata/xarray/issues/1061). I've tried it out with salem and it looks nice (http://salem.readthedocs.io/en/latest/auto_examples/index.html). I'll get back to this when I'll find some time...

{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
  add info in doc on how to facet with cartopy 200376941

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]);
Powered by Datasette · Queries took 2158.055ms · About: xarray-datasette