home / github

Menu
  • GraphQL API
  • Search all tables

issue_comments

Table actions
  • GraphQL API for issue_comments

1 row where issue = 130504978 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

  • shoyer 1

issue 1

  • reindex_like with tolerance changes the type of returned DataArray · 1 ✖

author_association 1

  • MEMBER 1
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
178297275 https://github.com/pydata/xarray/issues/738#issuecomment-178297275 https://api.github.com/repos/pydata/xarray/issues/738 MDEyOklzc3VlQ29tbWVudDE3ODI5NzI3NQ== shoyer 1217238 2016-02-02T01:32:27Z 2016-02-02T01:32:27Z MEMBER

Unfortunately, NumPy has no integer type that can support missing values. This leaves us in a difficult situation for integer types. So, we've copied the approach from pandas of upcasting integers to floats when we need to add NaNs: http://pandas.pydata.org/pandas-docs/stable/gotchas.html#nan-integer-na-values-and-na-type-promotions http://xarray.pydata.org/en/stable/computation.html#missing-values (this could use a reference to the aforementioned pandas docs)

Conversion from complex to object is certainly not what we want, though, because NaN is a perfectly valid complex number. A fix to _maybe_promote should take care of that: https://github.com/pydata/xarray/blob/v0.7.0/xarray/core/common.py#L412

A contribution here would definitely be appreciated! We have made some improvements to complex number support recently but it definitely gets less use.

{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
  reindex_like with tolerance changes the type of returned DataArray  130504978

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 2001.624ms · About: xarray-datasette