home / github

Menu
  • Search all tables
  • GraphQL API

issue_comments

Table actions
  • GraphQL API for issue_comments

3 rows where author_association = "CONTRIBUTOR", issue = 186169975 and user = 3639582 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

  • mrpgraae · 3 ✖

issue 1

  • Use xarray.open_dataset() for password-protected Opendap files · 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
517231392 https://github.com/pydata/xarray/issues/1068#issuecomment-517231392 https://api.github.com/repos/pydata/xarray/issues/1068 MDEyOklzc3VlQ29tbWVudDUxNzIzMTM5Mg== mrpgraae 3639582 2019-08-01T10:47:12Z 2019-08-01T10:47:12Z CONTRIBUTOR

@juliancanellas Great! Good to see that someone else actually benefits from this feature, years after it was implemented 😄

{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
  Use xarray.open_dataset() for password-protected Opendap files 186169975
327413829 https://github.com/pydata/xarray/issues/1068#issuecomment-327413829 https://api.github.com/repos/pydata/xarray/issues/1068 MDEyOklzc3VlQ29tbWVudDMyNzQxMzgyOQ== mrpgraae 3639582 2017-09-06T08:30:22Z 2017-09-06T08:30:22Z CONTRIBUTOR

Thank you @shoyer, I'll start work on the implementation.

{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
  Use xarray.open_dataset() for password-protected Opendap files 186169975
327179289 https://github.com/pydata/xarray/issues/1068#issuecomment-327179289 https://api.github.com/repos/pydata/xarray/issues/1068 MDEyOklzc3VlQ29tbWVudDMyNzE3OTI4OQ== mrpgraae 3639582 2017-09-05T13:43:55Z 2017-09-05T13:43:55Z CONTRIBUTOR

@shoyer @jenfly Has this been implemented? I can't see any open PRs relating to this, so I guess no one is working on it?

I would be happy to try and implement it, if that's fine with you? It seems like you settled on the solution of passing a session object to a PydapDataStore and then passing that to open_dataset(), correct?

Thanks in advance!

{
    "total_count": 1,
    "+1": 1,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
  Use xarray.open_dataset() for password-protected Opendap files 186169975

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 15.488ms · About: xarray-datasette