home / github

Menu
  • GraphQL API
  • Search all tables

issue_comments

Table actions
  • GraphQL API for issue_comments

4 rows where user = 37403847 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

  • jenssss · 4 ✖

issue 1

  • Linear interp with NaNs in nd indexer 4

author_association 1

  • CONTRIBUTOR 4
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
679502302 https://github.com/pydata/xarray/pull/4233#issuecomment-679502302 https://api.github.com/repos/pydata/xarray/issues/4233 MDEyOklzc3VlQ29tbWVudDY3OTUwMjMwMg== jenssss 37403847 2020-08-25T03:17:42Z 2020-08-25T03:17:42Z CONTRIBUTOR

Okay, I removed the ValueError from my previous commit, so the content of _localize is now basically the same as in https://github.com/pydata/xarray/pull/3924/files#discussion_r407101544

I thought it better to use np.issubdtype(new_x.dtype, np.datetime64) instead of new_x.dtype.kind in "mM" to check for datetime type. It's a bit longer, but I think it makes it more readable since you don't have to look up what dtype.kind is.

{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
  Linear interp with NaNs in nd indexer 658938729
678726416 https://github.com/pydata/xarray/pull/4233#issuecomment-678726416 https://api.github.com/repos/pydata/xarray/issues/4233 MDEyOklzc3VlQ29tbWVudDY3ODcyNjQxNg== jenssss 37403847 2020-08-23T04:04:39Z 2020-08-23T04:04:39Z CONTRIBUTOR

Okay, I think that should do it. How does it look now?

{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
  Linear interp with NaNs in nd indexer 658938729
678715788 https://github.com/pydata/xarray/pull/4233#issuecomment-678715788 https://api.github.com/repos/pydata/xarray/issues/4233 MDEyOklzc3VlQ29tbWVudDY3ODcxNTc4OA== jenssss 37403847 2020-08-23T01:05:36Z 2020-08-23T01:05:36Z CONTRIBUTOR

I want to try to fix it.

{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
  Linear interp with NaNs in nd indexer 658938729
678661341 https://github.com/pydata/xarray/pull/4233#issuecomment-678661341 https://api.github.com/repos/pydata/xarray/issues/4233 MDEyOklzc3VlQ29tbWVudDY3ODY2MTM0MQ== jenssss 37403847 2020-08-22T16:28:27Z 2020-08-22T16:28:27Z CONTRIBUTOR

@keewis, sorry I'm still kinda new to Github. Yeah, I did a rebase from upstream/master, and then a pull before pushing back up.

{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
  Linear interp with NaNs in nd indexer 658938729

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 12.05ms · About: xarray-datasette