issue_comments

Table actions

3 rows where issue = 423749397 and user = 2418513 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

  • aldanor · 3 ✖

issue 1

  • xarray.concat() with compat='identical' fails for DataArray attrs · 3 ✖

author_association 1

id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
475605323 https://github.com/pydata/xarray/issues/2836#issuecomment-475605323 https://api.github.com/repos/pydata/xarray/issues/2836 MDEyOklzc3VlQ29tbWVudDQ3NTYwNTMyMw== aldanor 2418513 2019-03-22T12:36:48Z 2019-03-22T12:36:48Z NONE

Ooh I missed that too! This probably wont serialize well to netcdf, would it?

Prob not, with n-d attrs? It would serialize just fine to plain HDF5 though...

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   xarray.concat() with compat='identical' fails for DataArray attrs 423749397
475285050 https://github.com/pydata/xarray/issues/2836#issuecomment-475285050 https://api.github.com/repos/pydata/xarray/issues/2836 MDEyOklzc3VlQ29tbWVudDQ3NTI4NTA1MA== aldanor 2418513 2019-03-21T15:46:13Z 2019-03-21T15:46:13Z NONE

I could try; what's the most stable way to check equality? Do we want to enforce that types are the same, shame/ndim are the same (dtypes?), plus element-wise comparison? What if one is DA array, one is np array?

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   xarray.concat() with compat='identical' fails for DataArray attrs 423749397
475264613 https://github.com/pydata/xarray/issues/2836#issuecomment-475264613 https://api.github.com/repos/pydata/xarray/issues/2836 MDEyOklzc3VlQ29tbWVudDQ3NTI2NDYxMw== aldanor 2418513 2019-03-21T14:59:28Z 2019-03-21T14:59:28Z NONE

@dcherian In the second example that fails, the attr in question is 1-D, one-dimensional attributes are fine?

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   xarray.concat() with compat='identical' fails for DataArray attrs 423749397

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]);