home / github

Menu
  • Search all tables
  • GraphQL API

issue_comments

Table actions
  • GraphQL API for issue_comments

1 row where issue = 124867009 and user = 5356122 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

  • clarkfitzg · 1 ✖

issue 1

  • Complete renaming xray -> xarray · 1 ✖

author_association 1

  • MEMBER 1
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
168861275 https://github.com/pydata/xarray/issues/704#issuecomment-168861275 https://api.github.com/repos/pydata/xarray/issues/704 MDEyOklzc3VlQ29tbWVudDE2ODg2MTI3NQ== clarkfitzg 5356122 2016-01-05T01:11:54Z 2016-01-05T01:11:54Z MEMBER

Wow, going for it! Great. Given the other common imports are

import numpy as np import pandas as pd import matplotlib.pyplot as plt

My vote goes for

import xarray as xr

Just curious, is xarray already decided on? You could call it namedarray or labelarray...

{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
  Complete renaming xray -> xarray 124867009

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]);
Powered by Datasette · Queries took 1197.212ms · About: xarray-datasette