issue_comments
2 rows where issue = 324105458 and user = 1217238 sorted by updated_at descending
This data as json, CSV (advanced)
Suggested facets: created_at (date), updated_at (date)
issue 1
- ENH: Plotting for groupby_bins · 2 ✖
| id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 393211218 | https://github.com/pydata/xarray/pull/2152#issuecomment-393211218 | https://api.github.com/repos/pydata/xarray/issues/2152 | MDEyOklzc3VlQ29tbWVudDM5MzIxMTIxOA== | shoyer 1217238 | 2018-05-30T15:42:39Z | 2018-05-30T15:42:39Z | MEMBER | Rather than using I'm not sure that a step plot would be preferred by most users for a plot over an axis on which groupby_bins was applied. Personally, I would probably prefer a line + scatter plot (e.g., |
{
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} |
ENH: Plotting for groupby_bins 324105458 | |
| 391413132 | https://github.com/pydata/xarray/pull/2152#issuecomment-391413132 | https://api.github.com/repos/pydata/xarray/issues/2152 | MDEyOklzc3VlQ29tbWVudDM5MTQxMzEzMg== | shoyer 1217238 | 2018-05-23T16:31:07Z | 2018-05-23T16:31:07Z | MEMBER | A couple of other thoughts:
|
{
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} |
ENH: Plotting for groupby_bins 324105458 |
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