issue_comments
3 rows where issue = 683777199 sorted by updated_at descending
This data as json, CSV (advanced)
Suggested facets: reactions, created_at (date), updated_at (date)
issue 1
- plt.pcolormesh will infer interval breaks per default · 3 ✖
id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
---|---|---|---|---|---|---|---|---|---|---|---|
802860838 | https://github.com/pydata/xarray/issues/4364#issuecomment-802860838 | https://api.github.com/repos/pydata/xarray/issues/4364 | MDEyOklzc3VlQ29tbWVudDgwMjg2MDgzOA== | leroyvn 34740232 | 2021-03-19T14:09:35Z | 2021-03-19T14:09:52Z | NONE |
Yes indeed, but you cannot pass custom Numpy arrays as the |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
plt.pcolormesh will infer interval breaks per default 683777199 | |
802665473 | https://github.com/pydata/xarray/issues/4364#issuecomment-802665473 | https://api.github.com/repos/pydata/xarray/issues/4364 | MDEyOklzc3VlQ29tbWVudDgwMjY2NTQ3Mw== | fmaussion 10050469 | 2021-03-19T08:57:11Z | 2021-03-19T08:57:11Z | MEMBER | Another consequence is that this example in the docs is now meaningless / misleading. I've just come across the series of discussions in cartopy about this issue - it looks quite complex and I'm also not sure yet what to do in xarray in the mean time.
I'm not sure what you mean by that? You can always set |
{ "total_count": 1, "+1": 1, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
plt.pcolormesh will infer interval breaks per default 683777199 | |
759530498 | https://github.com/pydata/xarray/issues/4364#issuecomment-759530498 | https://api.github.com/repos/pydata/xarray/issues/4364 | MDEyOklzc3VlQ29tbWVudDc1OTUzMDQ5OA== | leroyvn 34740232 | 2021-01-13T15:39:51Z | 2021-01-13T15:40:59Z | NONE | I have a similar issue with nonmonotonic coordinates (mapping a 2D image to a zenith-azimuth space). Solving this is easy when using Matplotlib's API directly, since I can compute mesh coordinates by myself (on a array with one row and one column more) and supply these as |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
plt.pcolormesh will infer interval breaks per default 683777199 |
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 2