home / github

Menu
  • Search all tables
  • GraphQL API

issue_comments

Table actions
  • GraphQL API for issue_comments

2 rows where author_association = "MEMBER", issue = 415209776 and user = 6815844 sorted by updated_at descending

✎ View and edit SQL

This data as json, CSV (advanced)

Suggested facets: created_at (date), updated_at (date)

These facets timed out: author_association

user 1

  • fujiisoup · 2 ✖

issue 1

  • formatting of singleton DataArrays · 2 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
469437857 https://github.com/pydata/xarray/issues/2791#issuecomment-469437857 https://api.github.com/repos/pydata/xarray/issues/2791 MDEyOklzc3VlQ29tbWVudDQ2OTQzNzg1Nw== fujiisoup 6815844 2019-03-04T21:57:04Z 2019-03-04T21:57:04Z MEMBER

@yohai , sorry, I misunderstood __format__ and __repr__. I like shoyer's

vectorize format() over each element of the array (the proposal in the linked numpy issue)

as I feel it more consistent with the existing xarray __repr__.

I sometimes want a 0d-dataarray to behave as a native scalar. format is one of a typical case, but there are several other cases, e.g., np.ones(xr.DataArray([0])[0]). Therefore, I always needs to be carefule whether the scalar is xarray object or not.

I am a bit worrying if printing 0d-dataarray as a scalar would confuse me as it is a scalar not a 0d-array.

{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
  formatting of singleton DataArrays 415209776
469160334 https://github.com/pydata/xarray/issues/2791#issuecomment-469160334 https://api.github.com/repos/pydata/xarray/issues/2791 MDEyOklzc3VlQ29tbWVudDQ2OTE2MDMzNA== fujiisoup 6815844 2019-03-04T08:23:42Z 2019-03-04T08:23:42Z MEMBER

I agree that it is a bit annoying that 1d DataArray prints much information especially we want to embed the value into a string. However, I'm a bit worried whether it would be surprising if an object that looks a native scalar is actually an xr.DataArray of one element, especially when working in an interactive environment.

{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
  formatting of singleton DataArrays 415209776

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 2486.285ms · About: xarray-datasette