issue_comments
2 rows where 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