issue_comments

Table actions

2 rows where author_association = "MEMBER", issue = 713834297 and user = 10194086 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

  • mathause · 2 ✖

issue 1

  • Allow skipna in .dot() · 2 ✖

author_association 1

  • MEMBER · 2 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
706140256 https://github.com/pydata/xarray/issues/4482#issuecomment-706140256 https://api.github.com/repos/pydata/xarray/issues/4482 MDEyOklzc3VlQ29tbWVudDcwNjE0MDI1Ng== mathause 10194086 2020-10-09T12:01:37Z 2020-10-09T12:01:37Z MEMBER

fillna is basically where(notnull(data), data, other). I think what takes the longest is the where part - possibly making a memory copy(?).

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   Allow skipna in .dot() 713834297
702965721 https://github.com/pydata/xarray/issues/4482#issuecomment-702965721 https://api.github.com/repos/pydata/xarray/issues/4482 MDEyOklzc3VlQ29tbWVudDcwMjk2NTcyMQ== mathause 10194086 2020-10-02T21:27:33Z 2020-10-02T21:27:33Z MEMBER

Yes that would be very helpful. This is used for the weighted operations:

https://github.com/pydata/xarray/blob/333e8dba55f0165ccadf18f2aaaee9257a4d716b/xarray/core/weighted.py#L129-L135

and it would be great if this could be done upstream. However, dot is implemented using np.einsum which is quite a gnarly beast.

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   Allow skipna in .dot() 713834297

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]);