issue_comments
2 rows where author_association = "MEMBER" and issue = 345354038 sorted by updated_at descending
This data as json, CSV (advanced)
Suggested facets: created_at (date), updated_at (date)
issue 1
- znetcdf: h5netcdf analog for zarr? · 2 ✖
id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
---|---|---|---|---|---|---|---|---|---|---|---|
408639375 | https://github.com/pydata/xarray/issues/2323#issuecomment-408639375 | https://api.github.com/repos/pydata/xarray/issues/2323 | MDEyOklzc3VlQ29tbWVudDQwODYzOTM3NQ== | shoyer 1217238 | 2018-07-28T22:40:51Z | 2018-07-28T22:40:51Z | MEMBER |
We would still need an adapter layer in xarray, although it could be a little smaller. Basically, we would need to make |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
znetcdf: h5netcdf analog for zarr? 345354038 | |
408546582 | https://github.com/pydata/xarray/issues/2323#issuecomment-408546582 | https://api.github.com/repos/pydata/xarray/issues/2323 | MDEyOklzc3VlQ29tbWVudDQwODU0NjU4Mg== | shoyer 1217238 | 2018-07-27T21:45:57Z | 2018-07-27T21:45:57Z | MEMBER | z5 is the name of another library that reads/writes zarr files, so let's not copy that: https://github.com/constantinpape/z5 😀 We could indeed work on getting zarr support in open_mfdataset, but that's really independent of factoring out zarr/netCDF support into a separate project. I don't recall off hand why zarr has the separate function for opening it -- it may have something to do with using different decoders than netCDF files. |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
znetcdf: h5netcdf analog for zarr? 345354038 |
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