issue_comments

Table actions

2 rows where issue = 282000017 and user = 12229877 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

  • Zac-HD · 2 ✖

issue 1

  • DataArray.plot raises exception if contents are all NaN · 2 ✖

author_association 1

id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
351701244 https://github.com/pydata/xarray/issues/1780#issuecomment-351701244 https://api.github.com/repos/pydata/xarray/issues/1780 MDEyOklzc3VlQ29tbWVudDM1MTcwMTI0NA== Zac-HD 12229877 2017-12-14T12:46:08Z 2017-12-14T12:46:16Z CONTRIBUTOR

I investigated a bit and it seems that in the case of all nan data you would probably have to force add_colorbar to False and do other things for matplotlib to accept your all nan data.

I don't need to do this, but I'd like to for another feature (imshow RGB images) - the question is how! Passing add_colorbar=False to plot.imshow just gives me errors, and I can't find anywhere in the internals where this would be valid either - it always gets passed through to the matplotlib Artist and then an exception. Any ideas?

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   DataArray.plot raises exception if contents are all NaN 282000017
351675151 https://github.com/pydata/xarray/issues/1780#issuecomment-351675151 https://api.github.com/repos/pydata/xarray/issues/1780 MDEyOklzc3VlQ29tbWVudDM1MTY3NTE1MQ== Zac-HD 12229877 2017-12-14T10:45:31Z 2017-12-14T10:45:31Z CONTRIBUTOR

I'd argue that Xarray should handle these cases - it already does for lower dimensions, eg xr.DataArray(np.full(1, np.nan)).plot() works, and this would be really nice for exploratory analysis as well as consistency.

This is sufficiently annoying to my research group that I'm willing to write the patch, if that helps! I also have some ideas for tests using Hypothesis to ferret out some other problems - for example there's a similar failure if plotting an array with size one in some dimension.

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   DataArray.plot raises exception if contents are all NaN 282000017

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]);