issue_comments

Table actions

1 row where issue = 116869436 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

issue 1

  • unexpected behavior when assignment used incorrectly · 1 ✖

author_association 1

id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
156581823 https://github.com/pydata/xarray/issues/656#issuecomment-156581823 https://api.github.com/repos/pydata/xarray/issues/656 MDEyOklzc3VlQ29tbWVudDE1NjU4MTgyMw== jfburkhart 109530 2015-11-13T22:54:21Z 2015-11-13T22:54:21Z NONE

For the sake of cut & paste:

python ds = xray.Dataset( {'my_ones': (('dim1',), np.ones((100)))}, {'dim1':np.arange(0,100)}) ds ds['new_var'] = np.random.rand(100) / ds.my_ones ds ds.my_ones = np.random.rand(100) ds ds.attrs['my_ones'] = ds.my_ones ds

below will initially fail because ds.my_ones is just an array and has no attribute values:

python ds.my_ones.values = ds.my_ones del ds.my_ones ds ds.my_ones.values = ds.attrs['my_ones']

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   unexpected behavior when assignment used incorrectly 116869436

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]);