home / github

Menu
  • Search all tables
  • GraphQL API

issue_comments

Table actions
  • GraphQL API for issue_comments

2 rows where issue = 325661581 and user = 1200058 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

  • Hoeze · 2 ✖

issue 1

  • [Feature Request] Visualizing dimensions · 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
391760875 https://github.com/pydata/xarray/issues/2175#issuecomment-391760875 https://api.github.com/repos/pydata/xarray/issues/2175 MDEyOklzc3VlQ29tbWVudDM5MTc2MDg3NQ== Hoeze 1200058 2018-05-24T15:38:51Z 2018-05-24T15:40:47Z NONE

Some weeks ago I tried to solve this using a Latex-Script generator (https://github.com/Hoeze/matrixtolatex), but I gave it up as it was too hard for me to create 3D figures with LaTex. I think having this built on top of a senseful plotting framework would be a lot easier.

{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
  [Feature Request] Visualizing dimensions 325661581
391441780 https://github.com/pydata/xarray/issues/2175#issuecomment-391441780 https://api.github.com/repos/pydata/xarray/issues/2175 MDEyOklzc3VlQ29tbWVudDM5MTQ0MTc4MA== Hoeze 1200058 2018-05-23T17:58:55Z 2018-05-24T15:34:27Z NONE

In general, I'd work with data "lego blocks". Visualizations up to three dimensions would be self-explaining. One block = scalar, a row of blocks = vector, a plane of blocks = matrix, a cuboid of blocks = 3D array.

Different variables can then be aligned along each dimension (similar to the red and orange planes aligned to the right side of the pink cuboid)

More than three dimensions could be handled by placing multiple cuboid-blocks (like the blue and pink cuboid in the logo).

The relational sizes of different dimensions should be chosen carefully, maybe with some non-linear scaling? Or we could separate large dimensions in the middle: (just an illustration, drawing what I'd like to have in libreoffice is hard)

However, I'm not sure how to realize that...

{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
  [Feature Request] Visualizing dimensions 325661581

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 16.951ms · About: xarray-datasette