issue_comments
2 rows where issue = 298854863 and user = 1217238 sorted by updated_at descending
This data as json, CSV (advanced)
Suggested facets: created_at (date), updated_at (date)
issue 1
- Use conda-forge netcdftime wherever netcdf4 was tested · 2 ✖
id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
---|---|---|---|---|---|---|---|---|---|---|---|
368386873 | https://github.com/pydata/xarray/pull/1933#issuecomment-368386873 | https://api.github.com/repos/pydata/xarray/issues/1933 | MDEyOklzc3VlQ29tbWVudDM2ODM4Njg3Mw== | shoyer 1217238 | 2018-02-26T04:26:25Z | 2018-02-26T04:26:25Z | MEMBER | Presumably netcdf4 will add a dependency on netcdftime so they don't break their API for users? Anyways, if this already work then yes I'm good with merging this. |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
Use conda-forge netcdftime wherever netcdf4 was tested 298854863 | |
368287163 | https://github.com/pydata/xarray/pull/1933#issuecomment-368287163 | https://api.github.com/repos/pydata/xarray/issues/1933 | MDEyOklzc3VlQ29tbWVudDM2ODI4NzE2Mw== | shoyer 1217238 | 2018-02-25T06:29:14Z | 2018-02-25T06:29:14Z | MEMBER | My understanding is that netcdftime hasn't had an official release yet? Normally, you need to use some sort of prerelease channel and/or flag to download a package that hasn't had a normal release. |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
Use conda-forge netcdftime wherever netcdf4 was tested 298854863 |
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