issue_comments

Table actions

2 rows where author_association = "MEMBER", issue = 84068169 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

  • select range/ slice with method='nearest' · 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
111943792 https://github.com/pydata/xarray/issues/418#issuecomment-111943792 https://api.github.com/repos/pydata/xarray/issues/418 MDEyOklzc3VlQ29tbWVudDExMTk0Mzc5Mg== mathause 10194086 2015-06-15T06:17:41Z 2015-06-15T06:17:41Z MEMBER

ok thank you for looking at it and the clarification.

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   select range/ slice with method='nearest' 84068169
108014220 https://github.com/pydata/xarray/issues/418#issuecomment-108014220 https://api.github.com/repos/pydata/xarray/issues/418 MDEyOklzc3VlQ29tbWVudDEwODAxNDIyMA== mathause 10194086 2015-06-02T16:57:52Z 2015-06-02T16:58:52Z MEMBER

I did a short hack - not sure if it is of any help...

420

import numpy as np import xray temp = 15 + 8 * np.random.randn(20) lat = np.arange(0, 20) ds = xray.Dataset({'temperature': ('lat', temp)}, coords={'lat' : lat}) ds.sel(lat=slice(1.2, 5.9)) # lat = 2 3 4 5 ds.sel(lat=slice(1.2, 5.9), method='nearest') # lat = 1 2 3 4 5 6

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   select range/ slice with method='nearest' 84068169

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]);