issue_comments
3 rows where author_association = "MEMBER", issue = 138045063 and user = 1217238 sorted by updated_at descending
This data as json, CSV (advanced)
Suggested facets: reactions, created_at (date), updated_at (date)
These facets timed out: author_association, issue
id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
---|---|---|---|---|---|---|---|---|---|---|---|
256964206 | https://github.com/pydata/xarray/issues/781#issuecomment-256964206 | https://api.github.com/repos/pydata/xarray/issues/781 | MDEyOklzc3VlQ29tbWVudDI1Njk2NDIwNg== | shoyer 1217238 | 2016-10-28T16:20:44Z | 2016-10-28T16:20:44Z | MEMBER | I think a keyword argument is a pretty solid way to handle this. Detecting uniform coordinates specified with floating point numbers is pretty error prone. |
{ "total_count": 1, "+1": 1, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
Don't infer x/y coordinates interval breaks for cartopy plot axes 138045063 | |
191597245 | https://github.com/pydata/xarray/issues/781#issuecomment-191597245 | https://api.github.com/repos/pydata/xarray/issues/781 | MDEyOklzc3VlQ29tbWVudDE5MTU5NzI0NQ== | shoyer 1217238 | 2016-03-03T06:08:46Z | 2016-03-03T06:08:46Z | MEMBER | OK, that seem pretty compelling to me. You do lose one row of data across the top of the image, but that's better than the artifact. |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
Don't infer x/y coordinates interval breaks for cartopy plot axes 138045063 | |
191546524 | https://github.com/pydata/xarray/issues/781#issuecomment-191546524 | https://api.github.com/repos/pydata/xarray/issues/781 | MDEyOklzc3VlQ29tbWVudDE5MTU0NjUyNA== | shoyer 1217238 | 2016-03-03T02:21:30Z | 2016-03-03T02:21:30Z | MEMBER | Inferring x/y coordinate breaks solves the puzzle of losing the last row and column of data when plotting with pcolormesh. Are your coordinates very unevenly spaced? I'm curious what goes wrong here -- it's nice to plot all the data if possible. |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
Don't infer x/y coordinates interval breaks for cartopy plot axes 138045063 |
Advanced export
JSON shape: default, array, newline-delimited, object
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]);
user 1