issue_comments
5 rows where user = 10349239 sorted by updated_at descending
This data as json, CSV (advanced)
Suggested facets: issue_url, reactions, created_at (date), updated_at (date)
user 1
- krishnaap · 5 ✖
id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
---|---|---|---|---|---|---|---|---|---|---|---|
883569556 | https://github.com/pydata/xarray/issues/5623#issuecomment-883569556 | https://api.github.com/repos/pydata/xarray/issues/5623 | IC_kwDOAMm_X840qjOU | krishnaap 10349239 | 2021-07-20T17:32:56Z | 2021-07-20T17:37:08Z | NONE | I tried to run the same thing in jupyter-notebook, on jupyter-notebook it's working fine. I previously tried on Spyder IDE with the same conda environment. Is it an issue with Spyder? Anyway, I can open it on Jupyter-notebook.
|
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
ValueError: unrecognized engine cfgrib must be one of: ['netcdf4', 'scipy', 'store'] while opening grib data 948727717 | |
883562738 | https://github.com/pydata/xarray/issues/5623#issuecomment-883562738 | https://api.github.com/repos/pydata/xarray/issues/5623 | IC_kwDOAMm_X840qhjy | krishnaap 10349239 | 2021-07-20T17:21:36Z | 2021-07-20T17:21:36Z | NONE | @keewis Yes, importing cfgrib working just fine. |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
ValueError: unrecognized engine cfgrib must be one of: ['netcdf4', 'scipy', 'store'] while opening grib data 948727717 | |
862808654 | https://github.com/pydata/xarray/issues/5478#issuecomment-862808654 | https://api.github.com/repos/pydata/xarray/issues/5478 | MDEyOklzc3VlQ29tbWVudDg2MjgwODY1NA== | krishnaap 10349239 | 2021-06-16T23:55:18Z | 2021-06-19T10:28:00Z | NONE | I really thought xarray.DataArray.T as something like DataArray.values as it giving values! |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
Issue on page /generated/xarray.DataArray.T.html 922939657 | |
863539937 | https://github.com/pydata/xarray/issues/5478#issuecomment-863539937 | https://api.github.com/repos/pydata/xarray/issues/5478 | MDEyOklzc3VlQ29tbWVudDg2MzUzOTkzNw== | krishnaap 10349239 | 2021-06-17T20:23:19Z | 2021-06-17T20:23:19Z | NONE | @keewis I mean I was confused. Its clear now. |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
Issue on page /generated/xarray.DataArray.T.html 922939657 | |
862604807 | https://github.com/pydata/xarray/issues/5382#issuecomment-862604807 | https://api.github.com/repos/pydata/xarray/issues/5382 | MDEyOklzc3VlQ29tbWVudDg2MjYwNDgwNw== | krishnaap 10349239 | 2021-06-16T18:18:06Z | 2021-06-16T18:18:06Z | NONE | @shoyer how can I contribute to type hinting? |
{ "total_count": 1, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 1, "rocket": 0, "eyes": 0 } |
Type hints for xr.open_dataset 902698424 |
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]);
issue 3