home / github

Menu
  • GraphQL API
  • Search all tables

issue_comments

Table actions
  • GraphQL API for issue_comments

4 rows where author_association = "MEMBER", issue = 38109425 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 · 4 ✖

issue 1

  • Plot methods · 4 ✖

author_association 1

  • MEMBER · 4 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
132307937 https://github.com/pydata/xarray/issues/185#issuecomment-132307937 https://api.github.com/repos/pydata/xarray/issues/185 MDEyOklzc3VlQ29tbWVudDEzMjMwNzkzNw== clarkfitzg 5356122 2015-08-18T18:25:39Z 2015-08-18T18:25:39Z MEMBER

Closed by #466

{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
  Plot methods 38109425
120210790 https://github.com/pydata/xarray/issues/185#issuecomment-120210790 https://api.github.com/repos/pydata/xarray/issues/185 MDEyOklzc3VlQ29tbWVudDEyMDIxMDc5MA== clarkfitzg 5356122 2015-07-10T03:13:32Z 2015-07-10T03:13:32Z MEMBER

@shoyer good point- I hadn't yet considered that.

{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
  Plot methods 38109425
120102545 https://github.com/pydata/xarray/issues/185#issuecomment-120102545 https://api.github.com/repos/pydata/xarray/issues/185 MDEyOklzc3VlQ29tbWVudDEyMDEwMjU0NQ== clarkfitzg 5356122 2015-07-09T18:45:19Z 2015-07-09T18:45:19Z MEMBER

@nbren12 Thanks for the input! I'll add a link to that library in the docs.

By the way, development is happening on this branch now: https://github.com/xray/xray/tree/feature-plotting

{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
  Plot methods 38109425
115031906 https://github.com/pydata/xarray/issues/185#issuecomment-115031906 https://api.github.com/repos/pydata/xarray/issues/185 MDEyOklzc3VlQ29tbWVudDExNTAzMTkwNg== clarkfitzg 5356122 2015-06-24T22:30:09Z 2015-06-24T22:30:09Z MEMBER

Starting on this now. Some more relevant notes:

xray + matplotlib Wrap matplotlib using xray metadata wrap matplotlib methods directly but label axes with xray metadata automatically. Just like pandas plot method. Ideally, this should use plot submethods like x.plot.contourf() or x.plot_contourf(), similar to plans for pandas.

Grid 2D images easily Given a 3D DataArray, "group by" one dimension on which to show the remaining 2D image for each tick. These images can simply be wrapped, as in ggplot's facet_wrap.

lower priority: given an nd DataArray, facet_grid on multiple dimensions, showing 2D images on each.

For API inspiration, consider seaborn’s FacetGrid.

{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
  Plot methods 38109425

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 14.157ms · About: xarray-datasette