issue_comments

Table actions

2 rows where issue = 1128759050 and user = 3487237 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

  • kthyng · 2 ✖

issue 1

  • Be able to override calendar in `open_dataset`/`open_mfdataset`/etc OR include another calendar name · 2 ✖

author_association 1

id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
1077728973 https://github.com/pydata/xarray/issues/6259#issuecomment-1077728973 https://api.github.com/repos/pydata/xarray/issues/6259 IC_kwDOAMm_X85APNbN kthyng 3487237 2022-03-24T15:03:50Z 2022-03-24T15:03:50Z NONE

What?! Whoa I did not know about the preprocess option and it looks really powerful! I have been getting the derived datasets to work but I think this would do the job in a more simple and easy-to-understand way. I will give it a try.

intake-xarray should now work with open_mfdataset — I added this as an option, though it's probably not in a release yet.

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   Be able to override calendar in `open_dataset`/`open_mfdataset`/etc OR include another calendar name 1128759050
1035604231 https://github.com/pydata/xarray/issues/6259#issuecomment-1035604231 https://api.github.com/repos/pydata/xarray/issues/6259 IC_kwDOAMm_X849uhEH kthyng 3487237 2022-02-10T22:39:16Z 2022-02-10T22:39:16Z NONE

Thanks @d70-t for the idea! I haven't tried out the derived datasets capabilities in intake, but I'll give them a try. Sounds like they could be pretty powerful.

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   Be able to override calendar in `open_dataset`/`open_mfdataset`/etc OR include another calendar name 1128759050

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]);