issue_comments
6 rows where author_association = "NONE" and issue = 690546795 sorted by updated_at descending
This data as json, CSV (advanced)
Suggested facets: created_at (date), updated_at (date)
issue 1
- [WIP] Support nano second time encoding. · 6 ✖
id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
---|---|---|---|---|---|---|---|---|---|---|---|
735777126 | https://github.com/pydata/xarray/pull/4400#issuecomment-735777126 | https://api.github.com/repos/pydata/xarray/issues/4400 | MDEyOklzc3VlQ29tbWVudDczNTc3NzEyNg== | aldanor 2418513 | 2020-11-30T13:12:47Z | 2020-11-30T13:12:47Z | NONE | Yea, well, in this case it's not about Python... |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
[WIP] Support nano second time encoding. 690546795 | |
735431187 | https://github.com/pydata/xarray/pull/4400#issuecomment-735431187 | https://api.github.com/repos/pydata/xarray/issues/4400 | MDEyOklzc3VlQ29tbWVudDczNTQzMTE4Nw== | aldanor 2418513 | 2020-11-29T17:52:37Z | 2020-11-29T17:52:37Z | NONE | I'm working on an application where nanosecond-resolution is critical and took me days to find why my timestamps are all scrambled or off-by-1 after I write them with xarray and them read them back... would probably much rather prefer if it threw an exception instead of corrupting your data silently. Non-standard netcdf or not, if it was possible to just store them as plain int64s and read them back as is, that would help a ton... |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
[WIP] Support nano second time encoding. 690546795 | |
735430231 | https://github.com/pydata/xarray/pull/4400#issuecomment-735430231 | https://api.github.com/repos/pydata/xarray/issues/4400 | MDEyOklzc3VlQ29tbWVudDczNTQzMDIzMQ== | aldanor 2418513 | 2020-11-29T17:45:14Z | 2020-11-29T17:45:14Z | NONE | I think netcdf lists "nanoseconds" as a valid unit though? |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
[WIP] Support nano second time encoding. 690546795 | |
734963454 | https://github.com/pydata/xarray/pull/4400#issuecomment-734963454 | https://api.github.com/repos/pydata/xarray/issues/4400 | MDEyOklzc3VlQ29tbWVudDczNDk2MzQ1NA== | aldanor 2418513 | 2020-11-27T19:38:47Z | 2020-11-27T19:38:47Z | NONE | But the test already passes (i.e. you can at least do a |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
[WIP] Support nano second time encoding. 690546795 | |
734962866 | https://github.com/pydata/xarray/pull/4400#issuecomment-734962866 | https://api.github.com/repos/pydata/xarray/issues/4400 | MDEyOklzc3VlQ29tbWVudDczNDk2Mjg2Ng== | aldanor 2418513 | 2020-11-27T19:36:02Z | 2020-11-27T19:36:02Z | NONE | Oh, that requires |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
[WIP] Support nano second time encoding. 690546795 | |
734962563 | https://github.com/pydata/xarray/pull/4400#issuecomment-734962563 | https://api.github.com/repos/pydata/xarray/issues/4400 | MDEyOklzc3VlQ29tbWVudDczNDk2MjU2Mw== | aldanor 2418513 | 2020-11-27T19:34:48Z | 2020-11-27T19:34:48Z | NONE | Is there anything preventing to merge this? |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
[WIP] Support nano second time encoding. 690546795 |
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