home / github

Menu
  • Search all tables
  • GraphQL API

issue_comments

Table actions
  • GraphQL API for issue_comments

1 row where issue = 217385961 and user = 13205162 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

  • tomchor · 1 ✖

issue 1

  • Shape preserving `diff` via new keywords · 1 ✖

author_association 1

  • CONTRIBUTOR 1
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
418154705 https://github.com/pydata/xarray/issues/1332#issuecomment-418154705 https://api.github.com/repos/pydata/xarray/issues/1332 MDEyOklzc3VlQ29tbWVudDQxODE1NDcwNQ== tomchor 13205162 2018-09-03T16:14:46Z 2018-09-03T16:14:46Z CONTRIBUTOR

I'm not sure where we stand on this issue, but I think since numpy.gradient already exists, it makes more sense to wrap that function for the sake of simplicity instead of making xr.diff differ from the original premise of np.diff.

On the same topic, it bothers me that xr.diff only accepts "upper" and "lower" arguments for the label. The most obvious (and useful) value in my opinion would be "middle", which would correspond to a centered finite differences. Is there any special reason why that option isn't there?

{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
  Shape preserving `diff` via new keywords 217385961

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 107.405ms · About: xarray-datasette