issue_comments

Table actions

3 rows where author_association = "MEMBER", issue = 139863868 and user = 1217238 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 · 3 ✖

issue 1

  • Composite coordinate plot only works in one orientation · 3 ✖

author_association 1

  • MEMBER · 3 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
195672918 https://github.com/pydata/xarray/issues/788#issuecomment-195672918 https://api.github.com/repos/pydata/xarray/issues/788 MDEyOklzc3VlQ29tbWVudDE5NTY3MjkxOA== shoyer 1217238 2016-03-12T06:44:17Z 2016-03-12T06:44:17Z MEMBER

Thanks @fmaussion for that example.

I would tentatively call this is a bug. At the very least, I don't think there's a good reason why this shouldn't work.

I think we need a slightly more robust solution to these lines: https://github.com/pydata/xarray/blob/v0.7.1/xarray/plot/plot.py#L380-L382

For example, it might be a better idea to look at darray[xlab].dims rather than xlab itself. Any interest in putting together a PR?

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   Composite coordinate plot only works in one orientation 139863868
195503517 https://github.com/pydata/xarray/issues/788#issuecomment-195503517 https://api.github.com/repos/pydata/xarray/issues/788 MDEyOklzc3VlQ29tbWVudDE5NTUwMzUxNw== shoyer 1217238 2016-03-11T19:12:07Z 2016-03-11T19:12:07Z MEMBER

To be clear, by "Can you do this in pure matplotlib instead of xarray plotting?", I meant could you please demonstrate that here so I can understand exactly what you were hoping to see? Bug reports that show what you expect are more useful than those that only show what went wrong :).

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   Composite coordinate plot only works in one orientation 139863868
195453265 https://github.com/pydata/xarray/issues/788#issuecomment-195453265 https://api.github.com/repos/pydata/xarray/issues/788 MDEyOklzc3VlQ29tbWVudDE5NTQ1MzI2NQ== shoyer 1217238 2016-03-11T16:58:31Z 2016-03-11T16:58:31Z MEMBER

Honestly I'm a little surprised this doesn't error: dat.temperature.sel(r=2).mean(’y’).plot(x=’x’, y=’rtime’). The plot from your PDF doesn't seem to have the right y labels (rtime ranges from 0 to 2, but the highest label on the plot is 1).

What would you expect these plots to look like? Can you do this in pure matplotlib instead of xarray plotting? I would guess the result you're looking for may be possible but it's not immediately obvious to me what plot should result from this code.

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   Composite coordinate plot only works in one orientation 139863868

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]);