issue_comments
6 rows where issue = 132536288 sorted by updated_at descending
This data as json, CSV (advanced)
Suggested facets: created_at (date), updated_at (date)
issue 1
- Expose testing methods · 6 ✖
id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
---|---|---|---|---|---|---|---|---|---|---|---|
220462553 | https://github.com/pydata/xarray/issues/754#issuecomment-220462553 | https://api.github.com/repos/pydata/xarray/issues/754 | MDEyOklzc3VlQ29tbWVudDIyMDQ2MjU1Mw== | fmaussion 10050469 | 2016-05-19T21:51:46Z | 2016-05-19T21:51:46Z | MEMBER | I'd be willing to prepare a PR, if this is still actual. Today I needed the *AllClose methods for my tests, I think it would be great to have these methods exposed. I think I have an idea on how to proceed, but maybe I am underestimating the required amount of work. Numpy for example has the |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
Expose testing methods 132536288 | |
205062093 | https://github.com/pydata/xarray/issues/754#issuecomment-205062093 | https://api.github.com/repos/pydata/xarray/issues/754 | MDEyOklzc3VlQ29tbWVudDIwNTA2MjA5Mw== | spencerahill 6200806 | 2016-04-03T21:59:39Z | 2016-04-03T21:59:39Z | CONTRIBUTOR | Thanks for the ping. Sorry, I haven't. I'm actually submitting my PhD thesis in ~2 months and then defending it this summer, so I won't be able to help much until August or September. So by all means, go for it. |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
Expose testing methods 132536288 | |
204460257 | https://github.com/pydata/xarray/issues/754#issuecomment-204460257 | https://api.github.com/repos/pydata/xarray/issues/754 | MDEyOklzc3VlQ29tbWVudDIwNDQ2MDI1Nw== | jhamman 2443309 | 2016-04-01T16:29:22Z | 2016-04-01T16:29:22Z | MEMBER | @spencerahill - have you made any progress here? If not we (@dgergel) may be able to help out. |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
Expose testing methods 132536288 | |
182508961 | https://github.com/pydata/xarray/issues/754#issuecomment-182508961 | https://api.github.com/repos/pydata/xarray/issues/754 | MDEyOklzc3VlQ29tbWVudDE4MjUwODk2MQ== | spencerahill 6200806 | 2016-02-10T18:12:13Z | 2016-02-10T18:12:13Z | CONTRIBUTOR | Indeed. I'm happy to do this sometime (eventually...), but if somebody ends up with a pressing need for this in the meantime, go for it. Thanks! |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
Expose testing methods 132536288 | |
182497635 | https://github.com/pydata/xarray/issues/754#issuecomment-182497635 | https://api.github.com/repos/pydata/xarray/issues/754 | MDEyOklzc3VlQ29tbWVudDE4MjQ5NzYzNQ== | shoyer 1217238 | 2016-02-10T17:42:47Z | 2016-02-10T17:42:47Z | MEMBER | Most of these are as simple as |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
Expose testing methods 132536288 | |
182083400 | https://github.com/pydata/xarray/issues/754#issuecomment-182083400 | https://api.github.com/repos/pydata/xarray/issues/754 | MDEyOklzc3VlQ29tbWVudDE4MjA4MzQwMA== | jhamman 2443309 | 2016-02-09T21:33:11Z | 2016-02-09T21:33:11Z | MEMBER | :+1: |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
Expose testing methods 132536288 |
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 4