issue_comments
2 rows where author_association = "MEMBER", issue = 281423161 and user = 6815844 sorted by updated_at descending
This data as json, CSV (advanced)
Suggested facets: created_at (date), updated_at (date)
issue 1
- [WIP] Fix pydap array wrapper · 2 ✖
id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
---|---|---|---|---|---|---|---|---|---|---|---|
352972835 | https://github.com/pydata/xarray/pull/1776#issuecomment-352972835 | https://api.github.com/repos/pydata/xarray/issues/1776 | MDEyOklzc3VlQ29tbWVudDM1Mjk3MjgzNQ== | fujiisoup 6815844 | 2017-12-20T06:00:18Z | 2017-12-20T06:00:18Z | MEMBER | I am not very familiar with unlimited dimension of netCDF and how we handle this. Pydap supports unlimited dimension attributes. For example,
'bears.nc' example has three finite-sized dimensions ( We just need to create a three-dimensional array with |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
[WIP] Fix pydap array wrapper 281423161 | |
352011792 | https://github.com/pydata/xarray/pull/1776#issuecomment-352011792 | https://api.github.com/repos/pydata/xarray/issues/1776 | MDEyOklzc3VlQ29tbWVudDM1MjAxMTc5Mg== | fujiisoup 6815844 | 2017-12-15T13:57:21Z | 2017-12-15T13:57:21Z | MEMBER | Now tests are passing and this PR is ready for some review. I'm quite new to pydap. I would appreciate any comments from experienced members. |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
[WIP] Fix pydap array wrapper 281423161 |
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