issue_comments

Table actions

1 row where issue = 778863478 and user = 5635139 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

  • max-sixty · 1 ✖

issue 1

  • Conversions to Pandas objects fail when mixtures of Index and MultiIndex are present · 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
869042934 https://github.com/pydata/xarray/issues/4765#issuecomment-869042934 https://api.github.com/repos/pydata/xarray/issues/4765 MDEyOklzc3VlQ29tbWVudDg2OTA0MjkzNA== max-sixty 5635139 2021-06-26T18:24:46Z 2021-06-26T18:24:46Z MEMBER

I think this does work now?

```python

In [3]: da.stack(xy=['x', 'y']).to_series() Out[3]: z x y z1 x1 y1 2 y2 5 y3 6 x2 y1 0 y2 7 y3 1 x3 y1 4 ```

@carlos-rpg you may have also been looking for to_pandas or to_dataframe.

Closing but please reopen if I'm mistaken!

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   Conversions to Pandas objects fail when mixtures of Index and MultiIndex are present 778863478

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]);