issue_comments

Table actions

1 row where author_association = "MEMBER", issue = 125092434 and user = 1217238 sorted by updated_at descending

✎ View and edit SQL

This data as json, CSV (advanced)

These facets timed out: author_association, issue

user 1

  • shoyer · 1 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
169201549 https://github.com/pydata/xarray/issues/708#issuecomment-169201549 https://api.github.com/repos/pydata/xarray/issues/708 MDEyOklzc3VlQ29tbWVudDE2OTIwMTU0OQ== shoyer 1217238 2016-01-06T02:29:09Z 2016-01-06T02:29:09Z MEMBER

Hmm. I can't reproduce this on my machine (using numpy 1.10.2 and the dev version of xray):

In [21]: ds.to_array('d').b.values.flags Out[21]: C_CONTIGUOUS : True F_CONTIGUOUS : True OWNDATA : True WRITEABLE : True ALIGNED : True UPDATEIFCOPY : False

Which version of numpy do you have installed?

My best guess is that this might be someone related to broadcast_to, which can create read only numpy arrays. But nothing should be happening to the coordinate arrays at all with to_array...

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   'to_array' creates a read-only numpy array 125092434

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]);