issue_comments

Table actions

3 rows where author_association = "CONTRIBUTOR" and issue = 94417601 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

  • Feature plotting · 3 ✖

author_association 1

  • CONTRIBUTOR · 3 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
122483201 https://github.com/pydata/xarray/pull/466#issuecomment-122483201 https://api.github.com/repos/pydata/xarray/issues/466 MDEyOklzc3VlQ29tbWVudDEyMjQ4MzIwMQ== nbren12 1386642 2015-07-18T04:34:00Z 2015-07-18T04:34:28Z CONTRIBUTOR

I agree that jet isn't a good color scheme (this scipy talk is really good https://www.youtube.com/watch?v=xAoljeRJ3lU), but that is easily changed by setting cmap='whatever'.

One colorbar issue I find consistently annoying is having to manually specify vmin and vmax or levels when plotting anomaly fields on a diverging colorbar with white in the middle. Some sort of symmetric_colorbar= <middle point value> kwarg would be really nice.

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   Feature plotting 94417601
120573324 https://github.com/pydata/xarray/pull/466#issuecomment-120573324 https://api.github.com/repos/pydata/xarray/issues/466 MDEyOklzc3VlQ29tbWVudDEyMDU3MzMyNA== nbren12 1386642 2015-07-11T05:08:45Z 2015-07-11T05:08:45Z CONTRIBUTOR

For shared colorbars I would check out this stackoverflow thread.

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   Feature plotting 94417601
120572985 https://github.com/pydata/xarray/pull/466#issuecomment-120572985 https://api.github.com/repos/pydata/xarray/issues/466 MDEyOklzc3VlQ29tbWVudDEyMDU3Mjk4NQ== nbren12 1386642 2015-07-11T05:01:41Z 2015-07-11T05:03:07Z CONTRIBUTOR

Looks really nice! One suggestion I can think of would be to allow the imshow function to work with nonuniform coordinates. matplotlib provides a NonUniformImage class for these purposes. It's api is slightly more complicated than plt.imshow, but still not too bad. See this example .

On Sat, Jul 11, 2015 at 12:29 AM, Clark Fitzgerald <notifications@github.com

wrote:

cc @nbren12 https://github.com/nbren12, @jhamman https://github.com/jhamman feedback here is welcome, particularly on the API and docs (link is on top of page)

— Reply to this email directly or view it on GitHub https://github.com/xray/xray/pull/466#issuecomment-120571809.

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   Feature plotting 94417601

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]);