issue_comments
3 rows where author_association = "MEMBER" and issue = 422903285 sorted by updated_at descending
This data as json, CSV (advanced)
Suggested facets: reactions, created_at (date), updated_at (date)
issue 1
- to_netcdf() fails to write if input is read from netcdf3_classic · 3 ✖
id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
---|---|---|---|---|---|---|---|---|---|---|---|
475487497 | https://github.com/pydata/xarray/issues/2822#issuecomment-475487497 | https://api.github.com/repos/pydata/xarray/issues/2822 | MDEyOklzc3VlQ29tbWVudDQ3NTQ4NzQ5Nw== | shoyer 1217238 | 2019-03-22T04:08:32Z | 2019-03-22T04:08:32Z | MEMBER | I can reproduce this with libnetcdf 4.6.2. It looks like this problem is associated with having a
This appears to be fixed in libnetcdf 4.6.3 (https://github.com/Unidata/netcdf-c/issues/803), if you can upgrade to that version. In the meantime, you can manually delete the Out of curiosity, where did this netCDF file come from? |
{ "total_count": 1, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 1, "rocket": 0, "eyes": 0 } |
to_netcdf() fails to write if input is read from netcdf3_classic 422903285 | |
474871120 | https://github.com/pydata/xarray/issues/2822#issuecomment-474871120 | https://api.github.com/repos/pydata/xarray/issues/2822 | MDEyOklzc3VlQ29tbWVudDQ3NDg3MTEyMA== | shoyer 1217238 | 2019-03-20T15:02:22Z | 2019-03-20T15:02:22Z | MEMBER | OK, in that case please provide a full example that I can run. |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
to_netcdf() fails to write if input is read from netcdf3_classic 422903285 | |
474641356 | https://github.com/pydata/xarray/issues/2822#issuecomment-474641356 | https://api.github.com/repos/pydata/xarray/issues/2822 | MDEyOklzc3VlQ29tbWVudDQ3NDY0MTM1Ng== | shoyer 1217238 | 2019-03-20T00:54:34Z | 2019-03-20T00:54:43Z | MEMBER | When you leave the But something like either of these should work:
do something with datadata.to_netcdf('some_new_file', 'w') ``` |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
to_netcdf() fails to write if input is read from netcdf3_classic 422903285 |
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