issue_comments

Table actions

1 row where author_association = "NONE" and issue = 957918751 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

  • Interpolation behaviour inconsistent with numpy? · 1 ✖

author_association 1

  • NONE · 1 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
891602277 https://github.com/pydata/xarray/issues/5664#issuecomment-891602277 https://api.github.com/repos/pydata/xarray/issues/5664 IC_kwDOAMm_X841JMVl mathisc 7017525 2021-08-03T07:21:26Z 2021-08-03T07:46:09Z NONE

Thanks, Here is the ticket on Scipy's bug tracker : https://github.com/scipy/scipy/issues/14531

FWI this is what I ended up doing (which feels like work in both cases, interpolation needed or not): python interpolated_ds = ds.interp(time=ds.times) reindexed_ds = ds.reindex(time=ds.times) ds = interpolated_ds.fillna(reindexed_ds) It is probably not the most efficient in terms of operation but it gets the job done.

Thanks for your feedback ;) 

{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   Interpolation behaviour inconsistent with numpy?  957918751

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]);