home / github

Menu
  • Search all tables
  • GraphQL API

issue_comments

Table actions
  • GraphQL API for issue_comments

2 rows where author_association = "NONE" and issue = 59467251 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

  • JoyMonteiro 2

issue 1

  • Query about concat · 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
76890735 https://github.com/pydata/xarray/issues/349#issuecomment-76890735 https://api.github.com/repos/pydata/xarray/issues/349 MDEyOklzc3VlQ29tbWVudDc2ODkwNzM1 JoyMonteiro 7300413 2015-03-03T05:45:50Z 2015-03-03T05:45:50Z NONE

Thanks. But that really kills my machine, even though I have 12 GB of RAM.

What I finally ended up doing is slicing the initial dataset created from one nc file to access the level+variable that I wanted. This gives me a DataArray object which I then xray.concat() with similar objects created from other variables.

{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
  Query about concat 59467251
76883017 https://github.com/pydata/xarray/issues/349#issuecomment-76883017 https://api.github.com/repos/pydata/xarray/issues/349 MDEyOklzc3VlQ29tbWVudDc2ODgzMDE3 JoyMonteiro 7300413 2015-03-03T03:57:55Z 2015-03-03T03:57:55Z NONE

No, not really. each file contains one year of data for four variables, and I have 35 files (1979-...)

I tried Dataset.merge as you suggested, but it says conflicting value for variable time, which I guess is what you would expect.

Can xray modify the nc file to make the time dimension unlimited? then I could simply use something like MFDataset...

TIA, Joy

{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
  Query about concat 59467251

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 13.781ms · About: xarray-datasette