issue_comments

Table actions

2 rows where author_association = "NONE" and issue = 262696381 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

  • Where functionality in xarray including else case (dask compability) · 2 ✖

author_association 1

  • NONE · 2 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
396958080 https://github.com/pydata/xarray/issues/1604#issuecomment-396958080 https://api.github.com/repos/pydata/xarray/issues/1604 MDEyOklzc3VlQ29tbWVudDM5Njk1ODA4MA== rpnaut 30219501 2018-06-13T14:29:24Z 2018-06-13T14:29:24Z NONE

The where operator does only allow for an 'ifthen' construct, but not for an 'ifthenelse' construct. I cannot explicitly tell which values to write in the data at those places where the condition is not fullfilled. It is automatically a 'NA'. This leads to a lot of computation time and address a lot of memory.

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   Where functionality in xarray including else case (dask compability) 262696381
335810243 https://github.com/pydata/xarray/issues/1604#issuecomment-335810243 https://api.github.com/repos/pydata/xarray/issues/1604 MDEyOklzc3VlQ29tbWVudDMzNTgxMDI0Mw== rpnaut 30219501 2017-10-11T13:31:35Z 2017-10-11T13:31:35Z NONE

Thank you very much, jhamman, for your comment on #1496 . I would really like that feature.

Hopefully, I will find also a way to overcome in my script the problem with simple arithmetic operators on DataSets or DataArrays. I do not like to always access only the data-stream (numpy-array) and not the DataSet or DataArray. 

{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   Where functionality in xarray including else case (dask compability) 262696381

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]);